Method and system for tailoring synthesis gas composition for industrial operations
The method and apparatus for generating syngas mixture data through decentralized networks and advanced modeling techniques address the challenge of blending diverse syngas streams, enhancing feedstock flexibility and environmental sustainability in industrial operations.
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- BASF SE
- Filing Date
- 2025-12-17
- Publication Date
- 2026-06-25
AI Technical Summary
Existing syngas producers face challenges in producing highly specific compositions tailored for diverse industrial operations, as they struggle to efficiently blend syngas streams from various carbon-containing feedstocks, including fossil, recycled, renewable, and bio-based materials, while managing impurities and environmental sustainability.
A method and apparatus for generating syngas mixture data by combining syngas streams based on target mixture and stream data, using decentralized networks, and implementing scoring, optimization, physiochemical, and data-driven modeling to ensure compliance with industrial operation specifications, including environmental properties and impurity management.
This approach enhances flexibility in feedstock selection, improves environmental sustainability, reduces product carbon footprint, and optimizes syngas composition for industrial processes, ensuring compliance with strict quality and environmental standards.
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Figure EP2025087504_25062026_PF_FP_ABST
Abstract
Description
[0001] 240694
[0002] METHOD AND SYSTEM FOR TAILORING SYNTHESIS GAS COMPOSITION FOR INDUSTRIAL
[0003] OPERATIONS
[0004] TECHNICAL FIELD
[0005] The disclosure relates to the field of sustainability, more particularly, to the field of synthesis gas compositions tailored for industrial operations. The disclosure relates to methods, apparatuses, systems, and computer elements for generating synthesis gas composition data tailored for industrial operations.
[0006] TECHNICAL BACKGROUND
[0007] Synthesis gas, or syngas, is a versatile fuel and chemical feedstock production through gasification or reforming processes. Syngas is used in diverse industrial operation and ends up in multiple supply chains to produce a diversity of supply chain products. Syngas can be generated from various carbon-containing feedstocks, and the output of the gasification process may combine streams from different sources to achieve a specific composition tailored for industrial operation. Hence, the specific composition of syngas tailored for a given industrial operation is crucial. Syngas producers are hence hampered to produce highly specific composition of syngas for given industrial operations. Hence, there is a need to a simple generation of syngas with a given composition fulfilling the requirements of a given industrial operation.
[0008] SUMMARY OF THE INVENTION
[0009] Disclosed is in one aspect, a method, in particular a computer-implemented method, for generating syngas mixture data associated with instructions for preparing a syngas mixture for one or more industrial operation(s), wherein the syngas mixture is prepared by mixing two or more syngas streams and the prepared syngas mixture is provided to the one or more industrial operation(s), the method comprising: providing - from one or more databases - target syngas mixture data including target syngas mixture identifier(s), the target syngas mixture data being associated with a composition of a syngas mixture associated with one or more target syngas properties; providing one or more syngas stream data including syngas stream identifier(s), each of the one or more syngas stream data being associated with a composition of a syngas stream; generating, based on the provided target syngas mixture data and the provided one or more syngas stream data, a syngas mixture data specifying proportions of two or more syngas streams to be mixed and provided to the one or more industrial operation(s); providing the syngas mixture data for preparing the syngas mixture for the one or more industrial operation(s) and optionally linking a digital asset to an identifier of the prepared syngas mixture.
[0010] In another aspect is disclosed an apparatus for generating syngas mixture data associated with instructions for preparing a syngas mixture for one or more industrial operation(s), wherein the syngas mixture is prepared by mixing two or more syngas streams and the prepared syngas mixture is provided to the one or more industrial operation(s), the method comprising: 240694
[0011] 2 a target syngas mixture data providing interface configured to provide target syngas mixture data including target syngas mixture identifier(s), the target syngas mixture data being associated composition of a syngas composition associated with one or more target syngas properties; a syngas stream data providing interface configured to provide syngas stream data including syngas stream identifier(s), each of the one or more syngas stream data being associated with a composition of a syngas stream; a syngas mixture data generator configured to generate, based on the target syngas mixture data and the one or more syngas stream data, a syngas mixture data specifying proportions of two or more syngas streams to be mixed and provided to the one or more industrial operation(s); a syngas mixture data providing interface configured to provide the syngas mixture data for preparing the syngas mixture for the one or more industrial operation(s) and optionally linking a digital asset to an identifier of the prepared syngas mixture.
[0012] In yet another aspect is disclosed a syngas mixture prepared according to syngas mixture data as generated according to the method as recited herein or by the apparatus as recited herein.
[0013] In yet another aspect is disclosed use of syngas mixture data as generated according to the method as recited herein or by the apparatus as recited herein for preparing the syngas mixture for one or more industrial operation(s).
[0014] In yet another aspect disclosed is a computer element, in particular a computer program product or a computer readable medium, with instructions, which when executed on one or more computing node(s) are configured to carry out the steps of any of the methods disclosed herein.
[0015] In yet another aspect the present disclosure relates to a computer element with instructions, which when executed on one or more computing node(s) is configured to carry out the steps of the method(s) of the present disclosure or configured to be carried out by the apparatus(es) of the present disclosure.
[0016] Any disclosure, embodiments and examples described herein relate to the methods, the apparatuses, systems, the uses and computer elements lined out above and below. Advantageously, the benefits provided by any of the embodiments and examples equally apply to all other embodiments and examples.
[0017] EMBODIMENTS
[0018] In the following, embodiments of the present disclosure will be outlined by ways of embodiments and / or examples. It is to be understood that the present disclosure is not limited to said embodiments and / or examples.
[0019] Material streams entering a system boundary of a chemical production network are increasingly diverse. Additionally or alternatively to traditional material streams often originating from fossil sources, such as naphtha, 240694
[0020] 3 alternative material streams, such as recycling material streams originating from recycling of disused products, increasingly enter the system boundary. Recycling may comprise a primary process, I. e. closed-loop process, secondary process, I. e. mechanical process, tertiary process, I. e. chemical process, and / or quaternary process, I. e. incineration with energy recovery. Additionally or alternatively to mechanical recycling, chemical recycling, such as solvolysis (solvent-based) processes, may turn disused products into valuable recycling material streams. Synthesis gas (syngas), mainly comprising hydrogen (H2) and carbon monoxide (CO), is an important intermediate product. Syngas may be produced from various feedstocks comprising fossil feedstock(s), non-fossil feedstock(s) and / or alternative feedstock(s). Examples for fossil feedstock(s) may comprise crude oil, naphtha and methane, for example. The non-fossil feedstock(s) may comprise recycled feedstock(s), bio-based feedstock(s) and renewable feedstock(s), for example. Syngas may be used in chemical production, fuel production and hydrogen production, and for power generation, for example. Product carbon footprint (PCF) of syngas may have an influence on downstream product(s) and / or use(s).
[0021] In one embodiment, the method for generating syngas mixture data may further comprise providing one or more syngas stream data including one or more environmental properties specified for each of the one or more syngas stream(s), wherein the method may comprise: generating, based on the generated syngas mixture data and the one or more environmental properties, environmental property data associated with the syngas stream; providing the environmental property data associated with the syngas composition for linking the digital asset to the identifier of the prepared syngas mixture.
[0022] In one embodiment, the syngas mixture data may be generated based on the provided target syngas mixture data, the provided one or more syngas stream data and the provided environmental property data.
[0023] In a further embodiment, the provided target syngas mixture data may include one or more target environmental property data associated with target environmental properties of the composition of the syngas mixture, the method comprising generating the syngas mixture data based on the provided target syngas mixture data, the provided one or more syngas stream data and the provided environmental property data.
[0024] Additionally or alternatively, the provided one or more target syngas mixture data may include one or more target environmental properties, the method comprising: generating, based on the provided target syngas mixture data and the provided one or more syngas stream data, a syngas mixture data specifying proportions of two or more syngas streams to be mixed and provided to the one or more industrial operation(s) having the one or more target environmental properties.
[0025] In one embodiment, the provided target syngas mixture data may be provided by one or more node(s) of a decentral network associated with the one or more industrial operation(s), wherein the target syngas mixture 240694
[0026] 4 data is provided to one or more node(s) of the decentral network associated with a syngas stream provider or producer.
[0027] Moreover, the syngas mixture data may be provided by one or more node(s) of a decentral network associated with a syngas stream provider or producer, wherein a syngas mixture generation service may be implemented by one or more node(s) of the decentral network associated with the one or more industrial operation(s) and / or the syngas stream producer.
[0028] Additionally or alternatively, the syngas mixture data may be provided by one or more node(s) of a decentral network associated with a syngas stream provider or producer, wherein the syngas mixture data may be provided to one or more node(s) of the decentral network associated with the syngas mixture generation or the one or more industrial operation(s).
[0029] In yet another embodiment, a mixture generation service may be implemented by one or more mixture generation node(s) of the decentral network, wherein the target syngas mixture data and / or the syngas mixture data may be provided to the one or more mixture generation node(s) by one or more node(s) associated with the one or more industrial operation(s) and / or syngas stream provider or producer.
[0030] Moreover, syngas stream data may relate to: a quantity of each of the one or more syngas stream(s) accessible for use by the one or more industrial operation(s); and / or type of each of the one or more syngas stream(s) such as syngas producing recycled, bio-based, renewable and / or waste material(s); and / or properties of each of the one or more syngas stream(s) including composition properties and / or operation properties associated with one or more syngas stream characteristics critical to processing the syngas stream to prepare the syngas mixture for the one or more industrial operation(s).
[0031] In one embodiment, the syngas stream data providing interface of the apparatus for generating syngas mixture data may be configured to provide the one or more syngas stream data including one or more environmental properties specified for each of the one or more syngas stream(s), wherein the syngas stream data providing interface may be configure to: generate, based on the generated syngas mixture data and the one or more environmental properties, environmental property data associated with the syngas stream; provide the environmental property data associated with the syngas composition for linking the digital asset to the identifier of the prepared syngas mixture.
[0032] In one embodiment, the method may be for generating control data associated with instructions for preparing a synthesis gas composition tailored for an industrial operation in a chemical production network, wherein the 240694
[0033] 5 method may comprise: providing target synthesis gas composition data associated with the synthesis gas composition tailored for the industrial operation and a property of the synthesis gas composition; providing a plurality of synthesis gas stream data, each of which being associated with a synthesis gas stream of a plurality of synthesis gas streams in the chemical production network and a property of the synthesis gas stream; determining, based on the target synthesis gas composition data and the plurality of synthesis gas stream data, the control data to specify proportions of synthesis gas streams of the plurality of synthesis gas streams for composing the synthesis gas composition from the synthesis gas streams; and providing the control data for preparing the synthesis gas composition tailored for the industrial operation. The method may increase flexibility in selection of feed stock (s). Thus, the method may allow using newly available feedstock(s), such as recycling feedstock(s). The method may increase environmental sustainability. Thus, the method may reduce the PCF of the syngas and / or downstream products produced therefrom. The method may improve efficiency. Additionally or alternatively, the method may improve processing of impurities and / or byproducts.
[0034] In another embodiment, the apparatus may be for generating control data associated with instructions for preparing a synthesis gas composition tailored for an industrial operation in a chemical production network, the apparatus comprising: a first input interface configured to provide target synthesis gas composition data associated with the synthesis gas composition tailored for the industrial operation and a property of the synthesis gas composition; a second input interface configured to provide a plurality of synthesis gas stream data, each of which being associated with a synthesis gas stream of a plurality of synthesis gas streams in the chemical production network and a property of the synthesis gas stream; a control data determining unit configured to determine, based on the target synthesis gas composition data and the plurality of synthesis gas stream data, the control data to specify proportions of synthesis gas streams of the plurality of synthesis gas streams for composing the synthesis gas composition from the synthesis gas streams; and an output interface configured to provide the control data for preparing the synthesis gas composition tailored for the industrial operation. The apparatus may increase flexibility in selection of feedstock(s). Thus, the apparatus may allow using newly available feedstock(s), such as recycling feedstock(s). The apparatus may increase environmental sustainability. Thus, the apparatus may reduce the PCF of the syngas and / or downstream products produced therefrom. The apparatus may improve efficiency. Additionally or alternatively, the apparatus may improve processing of impurities and / or byproducts.
[0035] In another embodiment, control data as provided according to one of the computer-implemented methods for preparing the synthesis gas composition in the chemical production network may be used. In another embodiment, the system may include the synthesis gas composition prepared and the determined control data provided according to one of the computer-implemented methods for preparing the synthesis gas composition in the chemical production network. In another embodiment, computer program element with instructions, which when executed on a computer, may be configured to carry out one of the computer-implemented methods for preparing the synthesis gas composition in the chemical production network. The computer may be a computing node, for example. In another embodiment, computer-readable medium storing data as generated according to 240694
[0036] 6 one of the computer-implemented methods for preparing the synthesis gas composition in the chemical production network may be used. In particular, there is a need to improve production of synthesis gas, which may be produced from various feedstocks and for various uses in industrial production. Hence, it may be necessary to provide a method for generating control data, which may allow for preparing a synthesis gas composition tailored for an industrial operation in a chemical production network.
[0037] In an embodiment, the computer-implemented method further may include: providing a decentral identifier associated with the target synthesis gas composition data; and collecting, based on the decentral identifier, target synthesis gas composition data. The method and / or corresponding apparatus may allow exchange of data. Thus, they may allow participating in a decentral network. The decentral network may include decentral participant node(s), or decentral network node(s), associated with participants. In contrast to a centralized network, the decentral network node(s) of the decentral network do not exclusively rely on a central network node. That is, no single entity is the sole authority of the network. The decentral network may include decentral node(s) and central network node(s). The decentral network may include central network node(s) that may control and / or monitor the decentral network nodes. For example, the central network node(s) may provide authentication information, which may allow at least two decentral network nodes to establish a peer-to-peer communication channel between respective decentral network nodes. They may allow obtaining data from the decentral network.
[0038] In another embodiment, the computer-implemented method further may include: determining, based on process parameter data of the chemical production network, process control data to control the chemical production network. The method and / or corresponding apparatus may allow improving control of production in the chemical production network. In another embodiment of the computer-implemented method, the process parameter data may be associated with a process parameter associated with at least one of a temperature, a pressure, a flow rate and a gas composition of the chemical production network. The method and / or corresponding apparatus may allow controlling one or more parameters for the production in the chemical production network. In another embodiment, the computer-implemented method further may include: providing another decentral identifier associated with the process control data; and assigning the process control data to the other decentral identifier. The method and / or corresponding apparatus may allow providing data to the decentral network. In another embodiment of the computer-implemented method, the target synthesis gas composition data may include boundary value data associated with at least one boundary value associated with at least one of a composition material, carbon monoxide (CO), hydrogen (H2), a proportion of the composition material, a proportion of the carbon monoxide, a proportion of the hydrogen, a property of the composition material, a property of the carbon monoxide, a property of the hydrogen, contaminant, metal, sulfur (S), a proportion of the contaminant, a proportion of the metal, a proportion of the sulfur, a property of the contaminant, a property of the metal, and a property of the sulfur. The method and / or corresponding apparatus may allow controlling composition of the syngas. They may allow producing the syngas improved for the downstream product and / or use. In another embodiment of the computer-implemented method, the boundary value may be associated with at least one of 240694
[0039] 7 a lower boundary value and an upper boundary value. The method and / or corresponding apparatus may allow producing the syngas with a defined specification.
[0040] In another embodiment of the computer-implemented method, the lower boundary value may be associated with at least one of a minimum permissible value and a maximum permissible value. The method and / or corresponding apparatus may allow producing the syngas with a strict specification. In another embodiment of the computer-implemented method, the upper boundary value may be associated with at least one of another minimum permissible value and another maximum permissible value. The method and / or corresponding apparatus may allow producing the syngas with a strict specification of desired components such as H2 and / or CO. Additionally or alternatively, they may allow producing the syngas with a strict specification of undesired components such as hydrogen sulfide (H2S), tar, particulate matter, ammonia (NH3) and / or trace impurities such as heavy metal(s). In another embodiment of the computer-implemented method, the boundary value may be associated with at least one of a quality, a purity and an impurity. In another embodiment of the computer- implemented method, a synthesis gas stream of the plurality of synthesis gas streams is produced by at least one of gasification and steam reforming. The method and / or corresponding apparatus may allow defining the specification more strictly. In another embodiment of the computer-implemented method, preparing the synthesis gas composition may include mixing the synthesis gas streams according to the specified proportions. The method and / or corresponding apparatus may allow producing a desired syngas from available syngas stream.
[0041] In an embodiment, the apparatus further may include: a third input interface configured to provide a decentral identifier associated with the target synthesis gas composition data; and a fourth input interface configured to collect, based on the decentral identifier, target synthesis gas composition data. In another embodiment, the apparatus further may include: a process parameter data determining unit configured to determine, based on process parameter data of the chemical production network, process control data to control the chemical production network.
[0042] In another embodiment of the apparatus, the process parameter data may be associated with a process parameter associated with at least one of a temperature, a pressure, a flow rate and a gas composition of the chemical production network. In another embodiment, the apparatus further may include: a fifth input interface configured to provide another decentral identifier associated with the process control data; and a process control data assigning unit configured to assign the process control data to the other decentral identifier. In another embodiment of the apparatus, the target synthesis gas composition data may include boundary value data associated with at least one boundary value associated with at least one of a composition material, carbon monoxide, hydrogen, a proportion of the composition material, a proportion of the carbon monoxide, a proportion of the hydrogen, a property of the composition material, a property of the carbon monoxide, a property of the hydrogen, contaminant, metal, sulfur, a proportion of the contaminant, a proportion of the metal, a proportion of the sulfur, a property of the contaminant, a property of the metal, and a property of the sulfur. In another 240694
[0043] 8 embodiment of the apparatus, the boundary value may be associated with at least one of a lower boundary value and an upper boundary value.
[0044] In another embodiment of the apparatus, the lower boundary value may be associated with at least one of a minimum permissible value and a maximum permissible value. In another embodiment of the apparatus, the upper boundary value may be associated with at least one of another minimum permissible value and another maximum permissible value. In another embodiment of the apparatus, the boundary value may be associated with at least one of a quality, a purity and an impurity. In another embodiment of the apparatus, a synthesis gas stream of the plurality of synthesis gas streams is produced by at least one of gasification and steam reforming. In another embodiment of the apparatus, preparing the synthesis gas composition may include mixing the synthesis gas streams according to the specified proportions.
[0045] BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS
[0046] In the following, the present disclosure is further described with reference to the enclosed figures. The embodiments and examples are illustrative embodiments and examples to further line out the concepts lined out herein. The figures include schematic illustrations and shall not be considered limiting. Other embodiments and examples that fall under the concepts lined out herein are possible and may not be explicitly described herein.
[0047] Fig. 1 illustrates schematically an example of gasification of waste materials to produce syngas streams and blending of syngas streams to produce syngas mixtures tailored to one or more industrial operation(s).
[0048] Fig. 2 illustrates schematically a flow chart of a method for blending a syngas streams including two or more syngas stream(s) for preparing a syngas mixture for at least one industrial operation.
[0049] Fig. 3a illustrates schematically an example of a data structure for a target syngas mixture specification of one industrial operation.
[0050] Fig. 3b illustrates schematically an example of a data structure for syngas stream data.
[0051] Fig. 3c illustrates schematically an example of a data structure for mixing data.
[0052] Fig. 4 illustrates schematically a flow chart of a method for blending a syngas streams including two or more syngas streams and / or dilutants.
[0053] Fig. 5 illustrates schematically an operating system including a syngas mixture generator configured to access target syngas mixture data and syngas stream data for generating syngas mixture data.
[0054] Fig. 6 illustrates schematically a user interface for generating mixture data and blending.
[0055] Figs. 7a, b illustrate schematically blending profiles for different industrial operations.
[0056] Fig. 8 illustrates schematically a decentral network including a syngas mixture generator service implemented by a node associated with an industrial operation performer.
[0057] Fig. 9 illustrates schematically a decentral network including a syngas mixture generator service implemented by a node associated with a syngas stream producer or provider. 240694
[0058] 9
[0059] Fig. 10 illustrates schematically a decentral network including industrial operation node(s), syngas stream provider node(s) and an additional node implementing the syngas mixture generator service.
[0060] Fig. 11 illustrates schematically an example protocol for a peer-to-peer communication between different nodes of the decentral network.
[0061] DETAILED DESCRIPTION
[0062] The following embodiments are mere examples for implementing the method, the apparatus, the system or applications disclosed herein and shall not be considered limiting.
[0063] Fig. 1 illustrates schematically an example of gasification of waste materials to produce syngas streams and blending of syngas streams to produce syngas mixtures tailored to one or more industrial operation(s).
[0064] To reduce fossil material depletion and to establish carbon neutral material streams, syngas stream streams are increasingly replacing fossil or conventional material streams. In this context conventional or fossil material streams may refer to materials produced from fossil inputs. Syngas stream streams may refer to material streams produced from recycled, renewable and / or bio-based inputs. Such materials streams may be particularly relevant for industrial operations such as chemical production or fuels, such as automotive fuels, aviation fuels or turbine fuels.
[0065] Recycled, renewable and / or bio-based materials may be used as two or more syngas streams to fossil materials. Recycled materials may be produced from material waste collected at the end-of-life of products, such as plastic waste, textile waste, tire waste or the like. The waste product may be mechanically, chemically and / or thermally recycled to produce recycled material such as pyrolysis oil, electro-jet fuels, liquefied methane, hydrogen or ammonia. Renewable materials may be produced by using renewable energy to produce liquid mixtures of hydrocarbons. Production pathways may include Power to Liquid (PtL) or Sun-to-Liquid (StL), which are based on the conversion of renewable energy to liquid fuels and chemicals such as methanol, oxymethylene ether (OME), ammonia, and Fischer-Tropsch (FT) products. The renewable energy may include wind, hydro and / or solar energy. For example, wind, hydro and / or solar generated electricity may be used for hydrogen production through methane pyrolysis or water electrolysis which combined with carbon captured from air may be processed to synthesis gas for Fischer-Tropsch (FT) process. Further for example, wind, hydro and / or solar generated thermal heat may be used for thermochemical processes to convert H2O and CO2 to synthesis gas for Fischer- Tropsch (FT) process. Bio-based materials may be produced from renewable materials or materials from natural resources such as plants, agricultural residue, or food waste. The renewable materials may be chemically and / or biologically converted e.g. through fermentation to produce bio-based feedstock such as bioethanol, bionaphtha or bio-methanol. 240694
[0066] 10
[0067] Owing to the diversification of input material streams including fossil, recycled, renewable and / or bio-based materials, the properties of material streams differ. For example, depending on the waste composition used for recycling the properties of the recycled material can vary. Similarly, depending on the production pathway and / or the renewable input material properties the renewable and / or bio-based material can vary.
[0068] This variation leads to challenges for industrial operations, since depending on application the industrial operation is associated with feedstock specifications that have to be adhered to. This for example concerns operation properties like density, heating value, melting point, freeze point, or flash point, and composition properties like impurity concentration such as sulfur content by weight, or hydrocarbon content by volume, such as branched- and straight-chain alkanes (hydrocarbon chains) by volume, naphthenes (cycloalkanes) by volume, olefins by volume or aromatic hydrocarbons, such as alkylbenzenes (single ring) or alkylnaphthalenes (double ring), by volume.
[0069] For the industrial operation different grades specifying different operation properties and / or composition properties may be defined. Aviation fuels, turbine fuels or automotive fuels for example have to adhere to certain specifications that fuels have to fulfill.
[0070] For Kerosine for example ASTM D3699-19 defines two grades no. 1-K and no. 2-K (version Jan 06, 2020). Similarly chemical processes like refining, steam cracking or gasification are sensitive to certain levels of impurities like hydrogen that can lead to corrosion in the process equipment. Other properties relevant to the operation may include density, initial and final boiling points, fuel evaporated, evaporation temperatures, recovery, residue, loss volume, vapor pressure, freezing point, sulfur content, net heat of combustion, lower heating value, copper strip corrosion, oxidation stability (potential gum and lead precipitate), volume change during water reaction, or electrical conductivity.
[0071] To use two or more syngas streams effectively and to manage the quality constraints industrial operations impose on feedstocks, a method for blending syngas streams including alternative input materials is proposed. In addition, a method for monitoring and / or controlling feeds to specific industrial processes is proposed. The proposed methods allow for efficient usage of two or more syngas streams thus reducing fossil material depletion and effective distribution of two or more syngas streams available to different industrial operations depending on their technical requirements for the feedstocks.
[0072] Fig. 1 conceptually depicts waste material(s) provide to a gasification process for producing syngas. Syngas produce from the waste material may be a mixture of carbon monoxide (CO) and hydrogen (H2), along with smaller amounts of other gases such as carbon dioxide (CO2), methane (CH4), and nitrogen (N2). Syngas can be generated from a variety of carbon-based feedstocks, including natural gas, coal, biomass, or even waste 240694
[0073] 11 materials. The production process typically involves the conversion of these feedstocks through one of the following methods:
[0074] 1. Gasification: This process uses heat and a controlled amount of oxygen or steam to react with the feedstock, producing syngas. Gasification can occur at high temperatures and in the presence of a catalyst, resulting in the breakdown of the carbon-based material into its gaseous components.
[0075] 2. Steam Reforming: In this process, hydrocarbon feedstocks, such as natural gas or methane, are reacted with steam at high temperatures, leading to the formation of syngas. Steam reforming is commonly used in industrial applications, such as hydrogen production for fuel cells.
[0076] Syngas has a wide range of applications due to its composition and properties. For example, Syngas may serve as a building block for the synthesis of various chemicals, such as methanol, ammonia, and higher hydrocarbons. These chemicals may be used in the production of plastics, fertilizers, solvents, and other industrial products. In another example, syngas can be converted into liquid fuels through processes like the Fischer-Tropsch synthesis. This enables the production of synthetic gasoline, diesel, and other hydrocarbon fuels that can substitute for traditional petroleum-based fuels. In yet another example, syngas can be used as a fuel in gas turbines or internal combustion engines to generate electricity and heat. This is particularly relevant in combined heat and power (CHP) systems, where the waste heat from power generation is utilized for various applications. In an even further example, syngas can be further processed to separate and purify the hydrogen component, which is a valuable fuel source for fuel cells, chemical reactions, and industrial processes.
[0077] Use of syngas offers advantages such as flexibility in feedstock selection, the potential for utilizing waste or renewable resources, and the ability to produce a wide range of valuable products. However, it also requires careful management of impurities and byproducts to ensure optimal performance and environmental sustainability. As depicted in Fig. 1 , syngas streams may be mixed to produce a syngas mixture with a given composition. Syngas stream may be produced via a plurality of approaches, as mere example, syngas may be mixed in (partial oxidation) PoX and split into H2 and CO. Here, waste material(s) and / or a hydrocarbon feedstock, such as natural gas or coal, is partially oxidized with a controlled amount of oxygen or air to produce syngas. The partial oxidation reaction typically takes place at high temperatures and in the presence of a catalyst. The oxygen reacts with the hydrocarbon feedstock, resulting in a mixture of carbon monoxide (CO) and hydrogen (H2), which is the syngas. The composition of syngas produced in PoX can vary depending on the specific feedstock and process conditions. That is, several syngas streams may be generated. However, for industrial operations specific mixture of syngas may be needed. Since syngas produced through partial oxidation is a valuable intermediate product used in various industrial applications, as it as a versatile building block for the production of chemicals, fuels, and other products, variability of the output syngas streams must be tackled. Fig. 1 schematically shows the blending of syngas streams to produce syngas mixture(s) fulfilling the requirements of the one or more industrial operation(s). During the blending of syngas streams, properties of a target syngas mixture are considered and for this purpose, careful control of blending is implemented to obtain the final syngas mixture to be provided to the one or more industrial operation(s). 240694
[0078] 12
[0079] The gasification process may also include purification steps. For instance, syngas may be purified and clean downstream of the gasifier, which depends on mixing H2 and CO in the right proportions. Syngas flow can be split into H2 and CO, this splitting can be used to change the composition. Product Carbon Footprint (PCF) may be for the prepared syngas mixture. PCF value of syngas streams and syngas mixture may also be taken into account for calculating the PCF values of the one or more industrial operation(s)
[0080] Fig. 2 illustrates schematically a flow chart of a method for blending two or more syngas streams.
[0081] The target syngas mixture associated with one or more property / ies of the target syngas mixture for at least one industrial operation may be provided. Target syngas mixture data associated with one or more property / ies of the target syngas mixture for at least one industrial operation may be provided. The property / ies of the target syngas mixture may be pre-defined per industrial operation. The properties of the target syngas mixture may relate to operational properties, such as density, heating value or the like, composition properties, such as impurities, specific molecule or atom content or the like, or any combination thereof.
[0082] Target syngas mixture(s) or target syngas mixture data may be provided for multiple industrial operations including one or more type(s) of industrial operations. For example, the target syngas mixture or target syngas mixture data may be provided per industrial operation. Further for example, the target syngas mixture or target syngas mixture data may be provided per industrial operation for the multiple industrial operations. The industrial operation type may include one or more chemical operation(s) like refining, steam cracking or gasification, one or more transport operation(s) like aviation, public transport or automotive fuels, one or more power generation operation(s) like gas turbine fuels for power generation, or any combinations thereof.
[0083] Depending on the industrial operation one or more target syngas mixture(s) or target syngas mixture data may be applicable to specific industrial operation. The target syngas mixture or target syngas mixture data may specify properties of the syngas streams related to technical requirements the syngas mixture has to fulfill in order to be used as feedstock for the respective industrial operation. The target syngas mixture or target syngas mixture data may specify properties of the syngas streams, such as threshold level (s) and / or ranges for properties, the mixture of syngas streams has to fulfill in order to be used as feedstock for the respective industrial operation. Such target syngas mixtures or target syngas mixture data may vary depending e.g. on the process layout, the equipment layout, the operation conditions, the operation location, or other factors characterizing the industrial operation. The target syngas mixture or target syngas mixture data may specify required properties of the syngas streams and optional properties of the syngas streams. This way the most important properties may be flagged to ensure suitability for the respective industrial operation. The target syngas mixture or target syngas mixture data may specify required environmental property / ies.
[0084] Target syngas mixtures or target syngas mixture data may specify thresholds, such as upper and / or lower limits, relating to the composition and / or operation properties of the feedstock and / or to the environmental property / ies of the syngas mixture. For example, the composition properties may relate to impurity levels for the specific industrial operation such as hydrogen content, sulfur content or metal content. Further for example, the operation properties may relate to operation characteristics for the specific industrial operation such as density, boiling point or heating value. Further for example, the environmental property / ies may relate to target environmental property / ies the prepared syngas mixture is required to have.
[0085] An example of a data structure for target syngas mixture data structure specification (e.g. target syngas mixture data) of one industrial operation is illustrated in Fig. 3a. The industrial operations specified by the target syngas mixture or target syngas mixture data may be a chemical operation like refining, steam cracking and gasification. This is one example of industrial operations and other operations may be similarly applicable.
[0086] The data structure illustrates the target syngas mixture for two different chemical operations, such as refining, steam cracking and synthesized gas generation. Synthesized gas, or syngas, may relate to a mixture composed primarily of hydrogen and carbon monoxide, which may be produced via gasification or decomposition of carbonaceous feedstock such as biomass, or landfill wastes.
[0087] The data structure of Fig. 3a illustrates the target syngas mixture for both processes. The target syngas mixture specifies as an example three impurities and two operation properties. The target syngas mixture for refining process and steam cracking process may be sensitive to different impurities and operation properties. For example, refining may be sensitive to water content as impurity (impurity 2). Steam cracking may be sensitive to heteroatoms as impurity (impurity 3) leading to fouling, coke formation, corrosion or downstream catalyst poisoning. Further for example, refining may require an upper density threshold, while steam cracking may require a lower density threshold. The target syngas mixture specifications may hence be different for the two chemical operations illustrated schematically by the data structure of Fig. 3a.
[0088] Turning back to Fig, 2, the syngas stream data associated with one or more two or more syngas streams and their properties may be provided. The properties of the two or more syngas streams may be measured and / or derived from measurement before, during and / or after their production process. The syngas stream data may relate to a syngas stream identifier, a type of syngas stream, a quantity of syngas stream and / or properties of the syngas stream. The type of syngas stream, the quantity of syngas stream and / or the properties of the syngas stream may be provided per syngas stream or syngas stream identifier. Multiple syngas stream identifiers may be provided. The type of syngas stream, the quantity of syngas stream and / or the properties of the syngas stream may be provided per syngas stream identifier. Multiple syngas stream identifiers and type per identifier may be provided. The quantity of syngas stream and / or the properties of the syngas stream may be provided per syngas stream identifier and type.
[0089] The syngas stream type may relate to the type of feedstock used for the gasification process such as recycled, bio-based and / or renewable material. The syngas stream type may relate to one or more source material type(s) 240694
[0090] 14 the syngas stream is produced from. The source material type may relate to recycled waste type such as plastic waste or food waste. The source material type may relate to natural resources such as sugarcane or algae. Source material type may relate to renewable energy types used to produce the source material such as wind, solar, and / or hydro, which in turn was used to produce the syngas stream. The syngas stream type may relate to one or more origin(s) of the source material the syngas stream is produced from. Origin may relate to the origin of the source material such as municipal, post-consumer or industrial waste. Origin may relate to the industry or the brand the source material originates from. Origin may relate to the agricultural farm or processor the source material originates from. Origin may relate to the renewable energy source such as off-shore or onshore wind farms, solar parks or hydropower stations the energy to produce the material originates from.
[0091] The quantity of syngas stream may relate to the quantity available for feedstock to be fed to industrial operation. The quantity may specify the mass, the volume, the amount or any other applicable measure relating to the quantity of syngas stream produced or to be produced and available for use.
[0092] The properties of the two or more syngas streams may reassemble at least in part the properties of the feedstock as specified by the target syngas mixtures for different industrial operations. The properties may include composition and / or operation per syngas stream as described above. The properties of the two or more syngas streams may differ per syngas stream.
[0093] An example of a data structure for syngas stream data is illustrated in Fig. 3b. The syngas stream in the illustrated example relates to two different syngas streams with differing properties relating to impurities and operation properties including density and lower heating value. The properties of the syngas streams may reassemble at least in part the properties of the feedstock as specified by the target syngas mixture.
[0094] Turning back to Fig. 2, based on the target syngas mixture or target syngas mixture data and the syngas stream data, mixture data specifying two or more syngas streams to be mixed and provided to the at least one industrial operation is generated. Multiple two or more syngas streams may refer to at least two or more syngas streams.
[0095] The mixture data may be generated based on the full set or a subset of syngas stream data. For example, the syngas stream data may be checked with regard to the properties provided by the material data per syngas stream identifier and the properties specified by the target syngas mixture or target syngas mixture data per industrial operation. The syngas stream identifiers relating to properties specified by the target syngas mixture or target syngas mixture data per industrial operation may be selected for the mixture generation. The syngas stream identifiers relating to specified properties required according to the target syngas mixture or target syngas mixture data per industrial operation may be selected for the mixture generation. This way unsuitable two or more syngas streams signified by the syngas stream data or incomplete data sets may be disregarded from the mixture generation making the method more reliable and speeding up the mixture generation. In other words, the syngas stream data may be validated with respect to the properties provided per syngas stream 240694
[0096] 15 identifier. Such validation may include the matching of properties specified per syngas stream identifier and the target syngas mixture or target syngas mixture data per industrial operation. The syngas stream identifiers relating to specified properties required according to the target syngas mixture or target syngas mixture data per industrial operation may be validated and selected for the mixture generation.
[0097] For generating the mixture data different approaches and options exist. The mixture data may be generated based on scoring approaches, optimization approaches, physiochemical modelling approaches, data-driven modelling approaches and / or hybrid approaches combining physiochemical and data-driven modeling.
[0098] The scoring approach may include determining a score per syngas stream and per industrial operation. In addition, a score per environmental property per syngas mixture may be determined. For the scoring, the properties required for the industrial operation may be selected and optionally prioritized. The score per syngas stream may include determining a score per property of the syngas stream and the perspective property specified by the target syngas mixture that measures the distance of the property of the syngas stream to the respective property specified by the target syngas mixture. Based on the per property score an accumulated and optionally normalized score per syngas stream identifier and industrial operation may be determined. The per property scores may further include a penalty depending on the relevance of the specific property for the industrial operation, e.g. if the property is required or optional. The per environmental property score may be determined by determining environmental property data associated with a candidate set of mixture data and comparing the environmental property data per candidate set with the target environmental property data. Based on the penalized score the accumulated score may be determined. Based on the accumulated score the two or more syngas streams suitable for the industrial operation may be selected for mixing. The scores may be normalized e.g. to a relative scale of percentage.
[0099] The optimization approach may include determining weighted quantities of syngas stream(s) depending on the properties per syngas stream identifier depending on or under the constraints of the target syngas mixture. Depending on or under the constraints of the target syngas mixture may refer to the weighted sum of at least part of the properties of the two or more syngas streams complying at least in part with the target properties of the feedstock for the at least one industrial operation. Based on the weights the two or more syngas streams suitable for the industrial operation and the quantity of syngas stream determined by the weight may be selected for mixing. In mathematical terms an objective function or cost function may be minimized under defined constraints:
[0100] Cost function min c(w) = t ,■ CiWjXu. with Ci = 1 / ti, ' Wj = 1. lwjxij <ar|d 0 < Wj < Uj 240694
[0101] 16
[0102] Default value for uj =1
[0103] Output: vector wj of weights
[0104] 1=1 denote the measured analytical properties j=1 , ,.,N_s denote the syngas stream samples x_ij : Matrix of measured properties for syngas stream samples tj: Vector of allowed properties in the mixture according to the target specification Outputs: wj: fraction of two or more syngas streams for syngas mixture
[0105] The physiochemical modelling approach may include determining mixture data by using a first principles calculation to determine based on the properties per syngas stream the properties of the syngas stream mixture. The data-driven approach may include determining the mixture data by providing the properties per syngas stream to a data-driven model parametrized based on historical data including mixture data, target syngas mixture data and syngas stream data, such as properties per syngas stream.
[0106] Additionally or alternatively, hybrid approaches or multi-criterial approaches may be used to determine syngas mixture data. In addition to the properties per syngas stream, further parameters such as the available quantity per syngas stream may be included in any of the approaches for generating mixture data as lined out herein.
[0107] The generated mixture data for blending of preparing the syngas mixture for the at least one industrial operation may be provided. An example of a data structure for mixture data is illustrated in Fig. 3c. The mixture data may specify the syngas stream identifier and the quantity of syngas stream to be included in the mixture. The mixture data may be provided for monitoring and / or controlling a feed of the syngas mixture to the respective industrial operation the mixture is generated for. The mixture data may be provided to an operator e.g. via a display for monitoring and / or controlling the feed. The mixture data may be provided to a monitoring and / or controlling interface of the feed. The mixture data may include monitoring and / or controlling instructions that specify the feed operation to blend or prepare the syngas mixture prior to or on feeding the two or more syngas streams to the industrial operation.
[0108] The syngas streams may be blended for feeding to the industrial operation. The industrial operation may include storing the blend for later use by the industrial operation. For example, on operating a tank farm or an airplane fuel facility a tank or storage may be filled with blends according to the mixture data. The industrial operation may include using the blend by the industrial operation. For example, on operating the chemical process or filling the airplane two or more syngas streams may be blended on feeding to the chemical process or airplane according to the mixture data.
[0109] For monitoring and / or controlling environmental properties of syngas mixtures the syngas stream data associated with multiple two or more syngas streams may include one or more environmental properties 240694
[0110] 17 specified per syngas stream. To track the environmental property of the syngas mixture environmental property data associated with the mixture may be generated by aggregating one or more environmental properties specified per syngas stream based on the generated mixture data. The aggregation may relate to one or more syngas stream types. The aggregation may relate to all syngas stream types included in the syngas mixture. The aggregation may relate to all syngas stream types included in the syngas mixture in relation to fossil and / or dilutant materials contained in the syngas mixture.
[0111] The environmental property per syngas stream may relate to the mass and energy value of the syngas stream and / or the material used to produce the syngas stream. As an example, data material used to produce the syngas stream may include:
[0112] Input material 1 : bio-naphtha
[0113] Input material 1 mass: x1 Kt
[0114] Input material 1 LHV: x1 MJ / kg
[0115] Input material 2: pyrolysis oil
[0116] Input material 2 quantity: x2 Kt
[0117] Input material 2 LHV: x2 MJ / kg
[0118] If the aggregation is provided per syngas stream, the quantity values of materials 1 and 2 may be used in relation to the syngas stream types bio-based and recycled respectively. The environmental property data of the mixture may hence specify the quantity values of materials 1 and 2 may be used in relation to the syngas stream types bio-based and recycled respectively.
[0119] If the aggregation is provided over all syngas stream types, the one or more environmental properties related to the syngas stream type recycled and bio-based may be converted to one or more balancing unit(s). In the example above, the environmental property associated with the input materials 1 and 2 may relate to the equivalent amount of fossil-base naphtha. The conversion of the environmental property to balancing units may be based on the conversion factor relating conventional material(s) to syngas stream(s) associated with one or more environmental properties. In the example above, the conversion factor may relate conventional naphtha to the bio-naphtha and pyrolysis oil. The conversion factor may relate to the use of conventional material(s) to the use of syngas stream(s) associated with one or more environmental properties e.g., via mass or energy property. The conversion factor may hence consider the difference between industrial operations based on conventional material(s) and based on non-conventional or syngas stream(s) or a mix of conventional and two or more syngas streams. The conversion factor may relate to differences in chemical and / or physical properties of conventional and syngas stream(s).
[0120] Recycled, renewable or bio-based input materials may have the same or similar chemical and / or physical properties as their fossil counterparts. They may be totally interchangeable and the material quantities of e.g., naphtha or natural gas, may be substituted with the quantities of two or more syngas streams. For instance, Naphtha is commonly cited with a lower heating value (LHV) of about 44.3 MJ / kg and bio-naphtha is commonly 240694
[0121] 18 cited with a similar LHV, i.e. with up 2, 5, 10% error. In such scenario the energy based balancing unit may be about 1 , meaning one unit naphtha corresponds to one unit bio-naphtha. The equivalent amount of materials such as bio-naphtha may be in this case be aggregated in one-to-one correspondence, such as summing the quantities.
[0122] However, some recycled, renewable, or bio-based input materials may have different carbon content, energetic value, or other chemical properties different to the fossil feedstocks to be replaced. This may lead to higher or lower requirements for recycled, renewable or bio-based input materials compared to the quantities of fossil feedstocks. In such situations, equivalent quantities of recycled, renewable, or bio-based input materials may not adhere to a one-to-one correspondence. For instance, a conversion factor based on the lower heating value (LHV) of fossil and bio-feedstocks as an approximation of the chemical and / or physical properties may be used. Bio-methane for example is commonly cited with an LHV of 50 MJ / kg. In such scenario the balancing unit may be about 0.88, meaning one unit naphtha corresponds to 0.88 unit bio-naphtha. Hence the equivalent amount of syngas stream(s) to the industrial process may be accounted for according to the conversion factor of 0.88 in this scenario. The equivalent amount of materials associated with the environmental property may be aggregated taking the conversion factor into account.
[0123] Different approaches exist to determine the conversion factor from conventional material unit to balancing unit or equivalent assignable to the syngas mixture for the industrial operation. Conversion may depend on mass such as mass of material, mass equivalent of a molecular unit such as methane or a molecular weight, an element, such as a number or a mole of one or more element(s) or molecular unit(s) or an energy property such as heating value like lower or higher heating value.
[0124] By way of balancing units, the environmental property associated with the syngas mixture may be determined for all syngas stream types.
[0125] Based on the mixture data and the one or more environmental properties of the syngas stream data, environmental property data associated with the syngas mixture may be generated.
[0126] The environmental property data associated with the syngas mixture may be provided for linking a digital asset to the prepared syngas mixture. The digital asset may include a decentral identifier associated with the input material and data related to the environmental property data. The digital asset may include a digital identifier and data related to the environmental property data. The digital identifier may be a decentral identifier. Data related to the environmental property data may include the environmental property data. Data related to the environmental property data may include a digital representation pointing to the environmental property data. The digital representation may be a pointer or locator, such as a URI or URL, pointing to the storage location storing the environmental property data. 240694
[0127] 19
[0128] Fig. 4 illustrates schematically a flow chart of a method for blending syngas streams including two or more syngas streams and / or dilutants (also denoted as diluents).
[0129] The target syngas mixture associated with one or more property / ies of the feedstock for the at least on industrial operation and syngas stream data associated with multiple two or more syngas streams and properties specified per syngas stream may be provided as e.g. described in the context of Figs. 2 and 3. Based on the target syngas mixture and the syngas stream data, mixture data specifying two or more syngas streams to be mixed and provided to the at least one industrial operation may be generated as e.g. described in the context of Figs. 2 and 3.
[0130] For generation of the mixture data dilutant data may be provided. The dilutant data may be associated with the properties of one or more dilutant(s). For example, properties of one or more dilutant may be provided per dilutant identifier. The dilutant identifier may relate to fossil material such as naphtha, methane, diesel, high viscous vacuum residue (HVR), crude oil, Liquified Petroleum Gas (LPG), Liquified Natural Gas (LNG) or specific chemical compounds.
[0131] The mixture data may be generated based on syngas stream data as described herein, e.g. in the context of Figs. 2 and 3. If the generation of mixture data based on with the syngas stream data leads to results that do not fulfills the target syngas mixture for the feedstock to be fed to the industrial operation, the generation of mixture data may be extended to include dilutant data, e.g. fossil material data or chemical compound data. Dilutant data may be associated with any material that fulfills the relate to properties of the target syngas mixture or per target syngas mixture. The dilutant data may be associated with multiple materials and properties specified per material. Based on the target syngas mixture, the syngas stream data, and / or dilutant data, mixture data specifying two or more syngas streams, and / or dilutant to be mixed and provided to the at least one industrial operation may be generated as e.g. described in the context of Figs. 2 and 3.
[0132] The mixture data for blending the syngas mixture for the at least one industrial operation may be provided as described e.g. in the context of Figs. 2 and 3.
[0133] Fig. 5 illustrates schematically an operating system including a syngas mixture generator configured to access target syngas mixture data and syngas stream data for generating mixture data.
[0134] The operating system may be communicatively connected to operation equipment configured for blending, e.g. through a communication interface. The operation equipment may include for example a mixing station, a tank farm, a mixing unit and / or a feed control of the industrial process. This list is non exhaustive and other equipment configured for blending may be used. The communication may be a wired or wire-less communication configured to transfer mixture data to the operation equipment for blending. 240694
[0135] 20
[0136] The syngas mixture generator may be configured to blend the syngas streams including one or more alternative input material(s) and / or to monitor and / or control the blending of the syngas streams including one or more alternative input material(s). The syngas mixture generator may be configured to access target syngas mixture data associated with one or more industrial operation(s). The target syngas mixture data may be retrieved from a data base storing target syngas mixture data. The data base storing target syngas mixture data may be associated with the industrial operation the target syngas mixture data relates to. The syngas mixture generator may be configured to access syngas stream data associated with one or more syngas stream(s). The target syngas mixture data may be retrieved from a data base storing syngas stream data. The data base storing syngas stream data may be associated with the syngas stream available for blending.
[0137] The syngas mixture generator may be configured to generate mixture data for one or more industrial operation(s) e.g. as described in the context of Figs. 2-4. The syngas mixture generator may be configured to generate mixture data associated with one or more two or more syngas streams to be mixed for each industrial operation. The syngas mixture generator may be configured to generate mixture data including one or more syngas stream identifier(s) per industrial operation. The generated mixture data may be provided or transferred to the operation equipment associated with the industrial operation. The mixture data may include the industrial operation identifier and per industrial operation identifier the syngas stream identifier(s) and the respective quantity of syngas stream, e.g. per syngas stream identifier.
[0138] The syngas mixture data generator may be configured to generate, based on the generated mixture data and the one or more environmental properties of the syngas stream data, environmental property data associated with the syngas mixture. The environmental property data may be generated as described in the context of Fig. 2. The environmental property data may include the environmental property / ies and a mixture data identifier included in the mixture data. The environmental property data may include the environmental property / ies and an input material identifier associated with the input material produced or to be produced based on the mixture data. The environmental property data may be provided for linking a digital asset to the prepared syngas mixture.
[0139] Based on the mixture data received by the operation equipment the syngas streams may be blended e.g. as described in the context of Figs. 2-4.
[0140] Fig. 6 illustrates schematically a user interface for generating mixture data.
[0141] The user interface includes a selection of industrial operations to specify one or more industrial operations the mixture data is to be generated for. One or more industrial operation(s) may be selected. Based on the selection target syngas mixture data may be provided or accessed per selected industrial operation. Such providing or accessing may include sending a request to one or more nodes associated with industrial operation performers and retrieving syngas stream data available per producer. Such data retrieval may be implemented via a peer- 240694
[0142] 21 to-peer communication in a decentral network e.g. as will be described in more detail in the context of Figs. 8- 11.
[0143] One or more two or more syngas streams may be selected for the selected industrial operation(s) or per industrial operation. Based on the selection the syngas stream data may be provided or accessed per syngas stream. Such providing or accessing may include sending a request to one or more nodes associated with syngas stream producers and retrieving syngas stream data available per performer. Such data retrieval may be implemented via a peer-to-peer communication in a decentral network e.g. as will be described in more detail in the context of Figs. 8-11.
[0144] One or more type(s), origin(s) and / or property / ies of the syngas stream may be selected. Based on the selected one or more type(s), origin(s) and / or property / ies the syngas stream data may be filtered. The filtered syngas stream data may be provided for generating mixture data.
[0145] The mixture data may be generated and provided based on the target syngas mixture data associated with the specification of the feedstock per industrial operation and the syngas stream data associated with multiple two or more syngas streams and properties specified per syngas stream e.g. as described in the context of Figs. 2 and 4. Based on the result, the properties of the mixture and contributions to such properties per syngas stream may be displayed.
[0146] On confirmation by the user the mixture data may be provided e.g. to trigger providing of the two or more syngas streams from the syngas stream producers, to trigger blending of the two or more syngas streams and / or to trigger feeding of the two or more syngas streams to the industrial operation according to the mixture data e.g. as detailed in the context of Figs. 2-4, 8-11 .
[0147] Figs. 7a, b illustrate schematically blending profiles for different industrial operations.
[0148] The blending profile of Fig. 7a illustrates the syngas stream components AM1 -5 of the mixture on the x-axis and the quantity of the respective component as fraction in weight-%. The blending profile of Fig. 7b illustrates the syngas stream components AM1-AM3, the fossil material component(s) FM1 and the compound-specific dilutant component(s) CD1 of the mixture on the x-axis and the quantity of the respective component as fraction in weight-%. Other profiles may show the property contributions per component for one or more selected properties. Yet other profiles may show the syngas stream contributions and the fossil material contributions per industrial operation.
[0149] Fig. 8 illustrates schematically a decentral network including a syngas mixture generator service implemented by a node associated with an industrial operation performer. The decentral network may include the industrial 240694
[0150] 22 operation node(s) implementing the syngas mixture generator and syngas stream provider node(s) implementing syngas stream data providing services.
[0151] The syngas mixture generator may be configured to access target syngas mixture data and syngas stream data or other data packages e.g. as described in the context of Figs. 2-5. The syngas mixture generator may be configured to access target syngas mixture data and syngas stream data in a central network e.g. as described in the context of Fig. 5 or an at least partially decentral network as shown in Fig. 8.
[0152] Fig. 5 illustrates the central network architecture by way of example for a node associated with the industrial operation. In the central network setup, the syngas mixture generator may be configured to access a database storing the target syngas mixture data and the syngas stream data. The syngas mixture generator may be configured to generate mixture data as described for example in the context of Figs. 2-4. The syngas mixture generator may be configured to provide the mixture data for blending or monitoring and / or controlling the feed to the specific industrial operation the mixture is generated for. The syngas mixture generator may be configured to generate environmental property data as described for example in the context of Fig. 2. The syngas mixture generator may be configured to provide the environmental property data for linking a digital asset to the prepared syngas mixture.
[0153] The decentral network environment may include one or more network node(s) associated with the upstream production of two or more syngas streams, the industrial operation using the two or more syngas streams, the intermediate storage of the two or more syngas streams and / or the transport of the two or more syngas streams. Fig. 8 illustrates one network node per player type participating via the decentral network. This is only illustrative and more player types or multiple network nodes of one player type may be present in decentral network.
[0154] In the example of Fig. 8, the network node(s) associated with the production of syngas stream(s) may be configured to provide syngas stream data. The network node(s) associated with the storage or transport syngas stream(s) may be configured to provide syngas stream data. The network node(s) associated with the industrial operation(s) may be configured to retrieve syngas stream data, to generate mixture data and to provide such mixture data for preparing the syngas stream mixture to be fed to the specific industrial operation or monitoring and / or controlling the feed to the specific industrial operation the mixture is generated for. The network node(s) associated with the industrial operation(s) may further be configured to generate environmental property data based on the generated mixture data and the retrieved syngas stream data and to provide such environmental property data for linking a digital asset to the prepared syngas mixture.
[0155] For communication, particularly peer-to-peer communication, the network node(s) may be associated with data providing service(s) comprising computer-executable instructions for providing and / or processing data to be transferred the data consuming service of a network node requesting access to the data. For communication, particularly peer-to-peer communication, the network node(s) may be associated with one or more data 240694
[0156] 23 consuming service(s) comprising computer-executable instructions for accessing and / or processing data provided by a network node associated with the data provider or generating. The data generating node may be coupled to the data owner or the entity owning or producing physical products from or for which data is generated. The data may be generated by a third-party entity on behalf of the entity owning or producing physical products from or for which data is generated. The data generating node for the syngas stream data may be associated with the syngas stream producer or the syngas stream produced. The syngas stream producer may in this example be associated with the syngas stream producer producing the respective syngas stream. The data generating node for the target syngas mixture data may be associated with the industrial operation using the syngas stream. The industrial operation may in this example be associated with the industrial operation performer. The data generating node for the mixture data may be associated with the industrial operation using the syngas stream. The industrial operation using the syngas stream may in this example be associated with the industrial operation performer storing, transporting and / or using the syngas stream. Storing, transporting and / or using the syngas stream may include storing the syngas stream to be blended, storing the blended syngas mixture, transporting the syngas stream to be blended, transporting the blended syngas mixture, using the syngas stream to be blended and / or using the blended syngas mixture.
[0157] In the decentral setup, the syngas mixture generator may be configured to access the target syngas mixture data and / or the syngas stream data via a decentral network protocol. The syngas mixture generator may be configured to access the target syngas mixture data and / or the syngas stream data by way of a peer-to-peer communication based on authentication and / or authorization mechanisms. In one example the peer-to-peer communication may be implemented based on the IDSA Reference Architecture model, version 4.0 published 2022 and the IDSA Rulebook, version 2 published 2023. The international data space (IDS) framework is only one example framework for a peer-to-peer communication protocol. Many other examples exist that may or may not use distributed ledger technology and may or may not use smart contract implementations running on the distributed ledger. Distributed ledger technologies include, but are not limited to, technology stacks like Bitcoin (see e.g. Bitcoin documentation of November 11 , 2022 published https: / / en.bitcoin.it / wiki / Protocol_documentation), Ethereum (see e.g. Ethereum documentation of August 15, 2022 published on https: / / ethereum.org / en / developers / docs / ), Solana (see e.g. Solana documentation of November 11 , 2022 published on https: / / spl.solana.com / ), Polygon (see e.g. Polygon documentation of November 11 , 2022 published https: / / wiki. polygon. technology / ) or other implementations with varying degree of data transactions performed on the distributed ledger. The description of the example framework is only for illustrative purposes and shall not be considered limiting.
[0158] The gist of data providing, data consuming and decentral applications in decentral networks may be implemented on any technology stack forming a decentral network including e.g. peer-to-peer communication based on authentication and / or authorization mechanisms. 24
[0159] The decentral network protocol may be configured to establish a peer-to-peer communication between network nodes. For accessing data packages via the decentral network, a network node implementing a data consuming service may provide a request including at least one decentral identifier associated with the data package requested.
[0160] The at least one decentral identifier may be uniquely associated with the data package requested. The at least one decentral identifier may be connected to at least one digital representation of the data package. The at least one digital representation may include a representation for accessing the data package or parts thereof. The at least one decentral identifier may include a Universally Unique Identifier (UUID) or a Digital Identifier (DID). The at least one decentral identifier may include any unique identifier uniquely associated with the target syngas mixture data, the syngas stream data, the data owner, the material, the mixture data generation and / or the industrial operation storing, transporting and / or using the syngas stream. Via the at least one decentral identifier and its unique association with the target syngas mixture data, the syngas stream data, the data owner, the material, the digital asset, the mixture data generation and / or the industrial operation storing, transporting and / or using the syngas stream access to the data package may be controlled by the network node or data owner. The at least one decentral identifier may further relate to authentication and / or authorization information linked or related to the data package. The authentication and / or authorization information may be provided for authentication and / or authorization of the data providing and / or data consuming service.
[0161] The request by the data consuming service may be authenticated and / or authorized to access the data package associated with the at least one decentral identifier via the data providing service and / or vice versa. Based on successful authorization and / or authentication access to the data package or parts thereof may be granted. For access the at least one decentral identifier may be provided to the data providing service. The data providing service may use the received decentral identifier to retrieve the data package or parts thereof from the data base associated with or accessible by the data providing service. The data base associated with or accessible by the data providing service may include a data base related to the data providing service, such as a backend data base solely accessible by the data providing service or accessible by the data providing service and not the data consuming service. The data base associated with or accessible by the data providing service may be included or connected to the network node the data providing service is associated with, such as a backend data base associated with the network node the data providing service is associated with. The data package or parts thereof may be provided to the data consuming service requesting the data. The data package or parts thereof may be transferred from the data providing service to the data consuming service. Through the decentral network the data package or parts thereof may be transferred between network nodes e.g. of the producer of the syngas stream to the industrial operation performer and / or the mixture data generator. This way the data packages required for mixture data generation can be shared without central intermediary directly between the network node(s). This allows for transparency of syngas stream data, syngas stream availability and more efficient use of two or more syngas streams by industrial operation performers. 25
[0162] The syngas stream data may be provided by one or more network node(s) associated with the production of the syngas stream(s), e.g. through peer-to-peer communication via the decentral network. The network node configured to generate the mixture data may be associated with the industrial operation performer storing, transporting and / or using the syngas stream. In other words, the syngas mixture generator may be provided by the network node associated with the industrial operation performer storing, transporting and / or using. In the example of Fig. 8 the network node configured to generate the mixture data may be associated with the industrial operation node using the two or more syngas streams e.g. for chemical production or for plane filling.
[0163] The syngas mixture generator may be configured to generate the mixture data e.g. as lined out in the context of Figs. 2-7. The syngas mixture generator may be configured to provide the generated mixture data for preparing the syngas stream(s) mixture. Providing the mixture data may include providing a request to one or more network node(s) associated with the production of the syngas stream(s) and triggering the providing of syngas stream to the industrial operation storing, transporting and / or using the syngas stream(s). Providing the mixture data may include providing monitoring and / or control instructions to prepare the syngas stream(s) mixture. The mixture data may be provided to an operator e.g. via a display for monitoring and / or controlling the feed to the industrial operation or an associated storage tank. The mixture data may be provided to a monitoring and / or controlling interface of the feed to the industrial operation or an associated storage tank. The mixture data may include monitoring and / or controlling instructions that specify the feed operation to prepare the mixture on feeding the two or more syngas streams to the industrial operation.
[0164] The syngas mixture generator may be configured to generate the environmental property data e.g. as lined out in the context of Figs. 2-5. The syngas mixture generator may be configured to provide the generated environmental property data for linking a digital asset to the prepared syngas mixture. The digital asset may be stored in a database associated with or under control of the entity producing the syngas mixture.
[0165] Fig. 9 illustrates schematically a decentral network including a syngas mixture generator service implemented by the node associated with the syngas stream producer or provider. The decentral network may include the industrial operation node(s) implementing a target syngas mixture data providing service and a mixture data for blending consuming service. The syngas stream provider node(s) may implement the syngas mixture generator, a target syngas mixture data consuming service and / or the mixture data for blending providing for blending service.
[0166] The syngas stream data may be provided by a data base associated with the network node(s) associated with syngas stream provider or producer. The mixture data generator may be associated with the network node(s) associated with syngas stream provider or producer. The syngas stream data may be provided to the mixture data generator. 240694
[0167] 26
[0168] The target syngas mixture data may be requested by the network node(s) associated with syngas stream provider or producer. The target syngas mixture data may be requested from the network node(s) associated with industrial operation using one or more syngas stream(s) or the syngas stream mixture(s). The network node(s) associated with syngas stream provider(s) or producer(s) may implement a target syngas mixture data consuming service requesting access and / or transfer of target syngas mixture data from data consuming service implemented by network node(s) associated with syngas stream provider or producer(s).
[0169] Based on the syngas stream data and the target syngas mixture data, the syngas mixture generator may be configured to generate the mixture data for blending e.g. as lined out in the context of Figs. 2-7. The syngas mixture generator may be configured to provide the generated mixture data for preparing the syngas stream(s) mixture to the data consuming service associated with industrial operation. Providing the mixture data may include providing a request to one or more network node(s) associated with the production of the syngas stream(s) and triggering the providing of syngas stream to the industrial operation storing, transporting and / or using the syngas stream(s). Providing the mixture data may include providing monitoring and / or control instructions to prepare the syngas stream(s) mixture. The mixture data may be provided to an operator e.g. via a display for monitoring and / or controlling the feed to the associated operation or associated storage tank. The mixture data may be provided to a monitoring and / or controlling interface of the feed to the industrial operation or an associated storage tank. The mixture data may include monitoring and / or controlling instructions that specify the feed operation to prepare the mixture on feeding the two or more syngas streams to the industrial operation.
[0170] Based on the mixture data, the mixture data generator may be configured to generate environmental property data associated with the syngas mixture, for example as described in the context of Fig. 2. The mixture data generator may be configured to provide the environmental property data associated with the syngas mixture for linking a digital asset to the prepared syngas mixture. The environmental property data may be provided to a monitoring and / or controlling interface of the feed to the industrial operation.
[0171] In other words, the target syngas mixture data may be provided by one or more network node(s) associated with one or more industrial operation(s) using one or more syngas stream(s) or the syngas stream mixture(s), e.g. through peer-to-peer communication via the decentral network. The network node associated with the syngas stream provider(s) or producer(s) may be configured to generate the mixture data. The syngas mixture generator may hence be associated with the syngas stream provider or producer. The syngas mixture generator may be provided by the network node implementing a mixture data generation service. The node or the syngas mixture generator may be configured to provide the generated mixture data for blending via the decentral network. The node or the syngas mixture generator may be configured to provide and / or transfer the generated mixture data for blending to the node associated with the industrial operation storing, transporting and / or using the two or more syngas streams. The mixture data may be provided e.g. as described above. The node or the syngas mixture generator may be configured to provide and / or transfer the generated environmental property data for 240694
[0172] 27 linking a digital asset to the prepared syngas mixture to the node associated with the industrial operation storing, transporting and / or using the two or more syngas streams.
[0173] Fig. 10 illustrates schematically a decentral network including industrial operation node(s), syngas stream provider node(s) and an additional node implementing the syngas mixture generator service.
[0174] The syngas mixture generator may be provided by the network node implementing a mixture data generation service. The syngas mixture generator may be configured to request syngas stream data and / or target syngas mixture data from respective nodes providing such data packages. The syngas mixture generator may be configured to generate mixture data for blending based on the received syngas stream data and the target syngas mixture data e.g. as lined out in the context of Figs. 2-7. The syngas mixture generator may be configured to provide the generated mixture data for blending via the decentral network. The syngas mixture generator may be configured to provide and / or transfer the generated mixture data for blending to the node associated with the industrial operation storing, transporting and / or using the two or more syngas streams. Providing the mixture data may include providing a request to one or more network node(s) associated with the production of the syngas stream(s) and triggering the providing of syngas stream to the industrial operation storing, transporting and / or using the syngas stream(s). Providing the mixture data may include providing monitoring and / or control instructions to prepare the syngas stream(s) mixture. The mixture data may be provided to an operator e.g. via a display for monitoring and / or controlling the feed to the industrial operation or an associated storage tank. The mixture data may be provided to a monitoring and / or controlling interface of the feed to the industrial operation or an associated storage tank. The mixture data may include monitoring and / or controlling instructions that specify the feed operation to prepare the mixture on feeding the two or more syngas streams to the industrial operation.
[0175] The syngas mixture generator may be configured to generate environmental property data for linking a digital asset to the prepared syngas mixture based on the received syngas stream data and the generated mixture data e.g. as lined out in the context of Fig. 2. The syngas mixture generator may be configured to provide the generated environmental property data for linking via the decentral network. The syngas mixture generator may be configured to provide and / or transfer the generated environmental property data for linking to the node associated with the industrial operation storing, transporting and / or using the two or more syngas streams.
[0176] In other words, the syngas stream data and the target syngas mixture data may be provided to the network node configured to generate the mixture data and the environmental property data associated with the input material. The network node configured to generate the mixture data may be associated with a service node implementing the syngas mixture generator service. The syngas mixture generator may be provided by the network node implementing a mixture data generation service. The syngas mixture generator may be configured to provide the generated mixture data for blending and the environmental property data for linking via the decentral network. The syngas mixture generator may be configured to provide and / or transfer the generated mixture data 240694
[0177] 28 for blending to the node associated with the industrial operation storing, transporting and / or using the two or more syngas streams. The syngas mixture generator may be configured to provide and / or transfer the generated environmental property data for linking to the node associated with the industrial operation storing, transporting and / or using the two or more syngas streams. The mixture data and environmental property data may be provided e.g. as described in the context of Figs. 8 and 9.
[0178] Fig. 11 illustrates schematically an example protocol for peer-to-peer communication between different nodes of the decentral network.
[0179] The data consuming service implemented by node 103.1 may comprise computer-executable instructions for accessing and / or processing data, such as syngas stream data, target syngas mixture data and / or mixture data, associated with the data owner. The data providing service implemented by node 103.6 may comprise computerexecutable instructions for providing and / or processing data, such as syngas stream data, target syngas mixture data and / or mixture data, associated with the data owner for accessing and / or processing by the data consuming service implementing node 103.1. Fig. 11 illustrates the communication protocol based on one example transaction between the decentral network node associated with syngas stream producer 103.6 and the decentral network node associated with mixture data generator 103.1.
[0180] The two or more syngas streams available through participants of the decentral network may be made discoverable to participants of the decentral network e.g. though a decentral network data base 910. The identifier per syngas stream available and the representation relating to the syngas stream may be provided by the data base 910. Multiple syngas stream producers and / or providers may in this way offer their two or more syngas streams to the market.
[0181] The syngas stream users or services generating mixture data may access such syngas stream identifiers. Based on the received syngas stream identifier a request to access the syngas stream data may be triggered by the data consuming service implemented by node 103.1 as signified by arrow 912. The syngas stream identifier may be provided to the data providing service implemented by node 103.6 associated with or of the syngas stream producer or provider. In addition, authentication and / or authorization information may be provided. The request may be authenticated and / or authorized to access the syngas stream data related to the syngas stream identifier. Based on successful authorization and / or authentication access to the syngas stream data related to the syngas stream identifier may be granted.
[0182] For access the syngas stream identifier may be provided to the data providing service implemented by node 103.6 as signified by arrow 912. The data providing service implemented by node 103.6 may use the received syngas stream identifier to retrieve the syngas stream data associated with the syngas stream from a dedicated storage 902 as signified by arrows 918 and 920. The syngas stream data associated with the syngas stream 904 provided to the data providing service implemented by node 103.6 may be provided to the data consuming service implemented by node 103.1 as signified by arrow 916. The syngas stream data associated with the syngas stream may be stored in the dedicated storage or data base 908 associated with the syngas mixture material generator as signified by arrow 922.
[0183] Through the syngas stream identifier or decentral identifier, the syngas stream data can be uniquely associated with the syngas stream and the mixture. Through the decentral network the syngas stream data may be transferred between the producer of the syngas stream and the user of the syngas stream. This way the syngas stream data can be shared with unique association to the syngas stream and without central intermediary directly between the players of the decentral network. Similarly, the target syngas mixture data may be provided for access by the data providing service associated with the industrial operation and the mixture data may be provided to the data consuming service associated with the industrial operation. Other data transfers as e.g. described in Figs. 5, 8-11 may follow the principles of the communication protocol described above. Other communication protocols that allow for decentral data exchange may similarly applicable. This allows for controlled transparency of syngas stream data to optimize mixtures to industrial operations.
[0184] The invention relates to the field of sustainable industrialization, particularly the blending, controlling and / or monitoring of two or more syngas streams as feedstock for industrial manufacturing processes. Production networks undergo dynamic change to reduce environmental impact. Industrial operations are hence exposed to dynamic changes on the input materials fed to such operations. The methods disclosed herein allow for reliable and effective use of alternative input materials. In addition, the decentral network setup allows for more efficient handling and monitoring across industrial operation performers and syngas stream producers.
[0185] The present disclosure has been described in conjunction with preferred embodiments and examples as well. However, other variations can be understood and effected by those persons skilled in the art and practicing the claimed invention, from the studies of the drawings, this dis-closure and the claims.
[0186] Any steps presented herein can be performed in any order. The methods disclosed herein are not limited to a specific order of these steps. It is also not required that the different steps are per-formed at a certain place or in a certain computing node of a distributed system, i.e. each of the steps may be performed at different computing nodes using different equipment / data processing.
[0187] As used herein ..determining" also includes ..initiating or causing to determine", "generating" also includes ..initiating and / or causing to generate" and "providing” also includes "initiating or causing to determine, generate, select, send and / or receive”. "Initiating or causing to perform an action” includes any processing signal that triggers a computing node or device to perform the respective action.
[0188] In the claims as well as in the description the word "comprising” or "including” or similar wording does not exclude other elements or steps and shall not be construed limiting to the elements or steps lined out. The 240694
[0189] 30 indefinite article "a” or "an” does not exclude a plurality. A single element or other unit may fulfill the functions of several entities or items recited in the claims. The mere fact that certain measures are recited in the mutual different dependent claims does not indicate that a combination of these measures cannot be used in an advantageous implementation or further elements may be included.
[0190] Providing in the scope of this disclosure may include any interface configured to provide data. This may include an application programming interface, a human-machine interface such as a display and / or a software module interface. Providing may include communication of data or submission of data to the interface, in particular display to a user or use of the data by the receiving entity.
[0191] Any disclosure and embodiments described herein relate to methods, systems, apparatuses, devices, chemicals, materials, services, uses, computer program elements lined out above and vice versa. Advantageously, the benefits provided by any of the embodiments and examples equally apply to all other embodiments and examples and vice versa.
[0192] All terms and definitions used herein are understood broadly and have their general meaning.
[0193] As used herein "determining” also includes "initiating or causing to determine”, "generating” also includes "initiating and / or causing to generate” and "providing” also includes "initiating or causing to determine, generate, select, send and / or receive”. "Initiating or causing to perform an action” includes any processing signal that triggers a computing node or device to perform the respective action.
[0194] In the claims as well as in the description the word "comprising” or "including”, or similar wording does not exclude other elements or steps and shall not be construed limiting to the elements or steps lined out. The indefinite article "a” or "an” does not exclude a plurality. A single element or other unit may fulfill the functions of several entities or items recited in the claims. The mere fact that certain measures are recited in the mutual different dependent claims does not indicate that a combination of these measures cannot be used in an advantageous implementation, or further elements may be included.
[0195] Providing in the scope of this disclosure may include any interface configured to provide data. This may include an application programming interface, a human-machine interface such as a display and / or a software module interface. Providing may include communication of data or submission of data to the interface, in particular display to a user or use of the data by the receiving entity.
Claims
24069431CLAIMS1. A method, in particular a computer-implemented method, for generating syngas mixture data associated with instructions for preparing a syngas mixture for one or more industrial operation(s), wherein the syngas mixture is prepared by mixing two or more syngas streams and the prepared syngas mixture is provided to the one or more industrial operation(s), the method comprising:- providing - from one or more databases - target syngas mixture data including target syngas mixture identifier(s), the target syngas mixture data being associated with a composition of a syngas mixture associated with one or more target syngas properties;- providing one or more syngas stream data including syngas stream identifier(s), each of the one or more syngas stream data being associated with a composition of a syngas stream;- generating, based on the provided target syngas mixture data and the provided one or more syngas stream data, a syngas mixture data specifying proportions of two or more syngas streams to be mixed and provided to the one or more industrial operation(s);- providing the syngas mixture data for preparing the syngas mixture for the one or more industrial operation(s) and optionally linking a digital asset to an identifier of the prepared syngas mixture.
2. The method of claim 1, wherein the provided one or more syngas stream data includes one or more environmental properties specified for each of the one or more syngas stream(s), the method comprising:- generating, based on the generated syngas mixture data and the one or more environmental properties, environmental property data associated with the syngas stream;- providing the environmental property data associated with the syngas composition for linking the digital asset to the identifier of the prepared syngas mixture.
3. The method of the preceding claim, wherein the syngas mixture data is generated based on the provided target syngas mixture data, the provided one or more syngas stream data and the provided environmental property data.
4. The method of claim 2, wherein provided target syngas mixture data includes one or more target environmental property data associated with target environmental properties of the composition of the syngas mixture, the method comprising generating the syngas mixture data based on the provided target syngas mixture data, the provided one or more syngas stream data and the provided environmental property data.
5. The method of any of the preceding claims, wherein the provided one or more target syngas mixture data includes one or more target environmental properties, the method comprising: generating, based on the provided target syngas mixture data and the provided one or more syngas stream data, a syngas mixture24069432 data specifying proportions of two or more syngas streams to be mixed and provided to the one or more industrial operation(s) having the one or more target environmental properties.
6. The method of any of the preceding claims, wherein the provided target syngas mixture data is provided by one or more node(s) of a decentral network associated with the one or more industrial operation(s), wherein the target syngas mixture data is provided to one or more node(s) of the decentral network associated with a syngas stream provider or producer.
7. The method of any of the preceding claims, wherein the syngas mixture data is provided by one or more node(s) of a decentral network associated with a syngas stream provider or producer, wherein a syngas mixture generation service may be implemented by one or more node(s) of the decentral network associated with the one or more industrial operation(s) and / or the syngas stream producer.
8. The method of any of the preceding claims, wherein the syngas mixture data is provided by one or more node(s) of a decentral network associated with a syngas stream provider or producer, wherein the syngas mixture data is provided to one or more node(s) of the decentral network associated with the syngas mixture generation or the one or more industrial operation(s).
9. The method of any of the preceding claims, wherein a mixture generation service is implemented by one or more mixture generation node(s) of the decentral network, wherein the target syngas mixture data and / or the syngas mixture data are provided to the one or more mixture generation node(s) by one or more node(s) associated with the one or more industrial operation(s) and / or syngas stream provider or producer.
10. The method of any of the preceding claims, wherein syngas stream data relates to- a quantity of each of the one or more syngas stream(s) accessible for use by the one or more industrial operation(s); and / or- type of each of the one or more syngas stream(s) such as syngas producing recycled, bio-based, renewable and / or waste material(s); and / or- properties of each of the one or more syngas stream(s) including composition properties and / or operation properties associated with one or more syngas stream characteristics critical to processing the syngas stream to prepare the syngas mixture for the one or more industrial operation(s).
11. An apparatus for generating syngas mixture data associated with instructions for preparing a syngas mixture for one or more industrial operation(s), wherein the syngas mixture is prepared by mixing two or more syngas streams and the prepared syngas mixture is provided to the one or more industrial operation(s), the method comprising:24069433- a target syngas mixture data providing interface configured to provide target syngas mixture data including target syngas mixture identifier(s), the target syngas mixture data being associated composition of a syngas composition associated with one or more target syngas properties;- a syngas stream data providing interface configured to provide syngas stream data including syngas stream identifier(s), each of the one or more syngas stream data being associated with a composition of a syngas stream;- a syngas mixture data generator configured to generate, based on the target syngas mixture data and the one or more syngas stream data, a syngas mixture data specifying proportions of two or more syngas streams to be mixed and provided to the one or more industrial operation(s);- a syngas mixture data providing interface configured to provide the syngas mixture data for preparing the syngas mixture for the one or more industrial operation(s) and optionally linking a digital asset to an identifier of the prepared syngas mixture.
12. The apparatus of the preceding claim, wherein the syngas stream data providing interface is configured to provide the one or more syngas stream data including one or more environmental properties specified for each of the one or more syngas stream(s), the syngas stream data providing interface being configure to- generate, based on the generated syngas mixture data and the one or more environmental properties, environmental property data associated with the syngas stream;- provide the environmental property data associated with the syngas composition for linking the digital asset to the identifier of the prepared syngas mixture.
13. A syngas mixture prepared according to syngas mixture data as generated according to the method of any of claims 1 to 10 or by the apparatus of claims 1 1 to 12.
14. The syngas mixture of the preceding claim, wherein the syngas mixture is associated with a digital asset relating to the environmental property data as generated according to the method of any of claims 2 to 5 or by the apparatus of claim 12.
15. Use of syngas mixture data as generated according to the method of any of claims 1 to 10 or by the apparatus of claims 1 1 to 12 for preparing the syngas mixture for one or more industrial operation(s).