Carbon footprint evaluation method and silicon-aluminum cementing material

Abstract

The invention relates to the technical field of building materials, and discloses a carbon footprint evaluation method and a silicon-aluminum cementing material. The method comprises the following steps: dividing the production life cycle of the silicon-aluminum cementing material into a plurality of preset stages, wherein the plurality of preset stages comprise a raw material acquisition stage, a raw material transportation stage and a silicon-aluminum cementing material production stage; obtaining accounting data corresponding to each preset stage; the accounting data comprises primary activity level data and secondary activity level data; and calculating the carbon emission corresponding to each preset stage according to the accounting data corresponding to each preset stage, and further determining the carbon emission corresponding to the production life cycle of the silicon-aluminum cementing material. Based on the technical scheme of the invention, the production life cycle of the silicon-aluminum cementing material is divided into a plurality of preset stages, and the carbon footprint evaluation of the silicon-aluminum cementing material is ensured to cover the whole life cycle from raw material acquisition to product production, so that the accuracy of carbon emission data is improved.

Description

Technical Field

[0001] The invention relates to the technical field of building materials, and in particular to a carbon footprint evaluation method and a silicon-aluminum gelling material. Background Art

[0002] Since my country's cement production ranked first in the world in 1984, it has grown rapidly and now accounts for more than 50% of the world's total production. In 2011, my country's cement production exceeded 2 billion tons for the first time, and has remained at a high production level of more than 2 billion tons for more than ten years. According to the calculation of 550 kg of carbon emissions per ton of cement, my country's cement industry has emitted more than 1.1 billion tons of carbon per year in the past decade, and the total amount of carbon emissions is huge. As consumers' awareness of environmental protection and energy conservation continues to increase, the demand for low-carbon, environmentally friendly and energy-saving products is also increasing. Therefore, the carbon footprint evaluation of the cement industry has become an important issue currently facing us.

[0003] Currently, carbon footprint is usually assessed by analyzing the input-output relationship between different sectors in the economic system. However, the above method usually does not take into account changes in technological progress and production efficiency, which may lead to inaccurate assessment results.

[0004] Therefore, there is an urgent need for a carbon footprint evaluation method that can improve the accuracy of carbon footprint assessment. Summary of the invention

[0005] Therefore, the technical problem to be solved by the present invention is to overcome the problem of low accuracy of carbon footprint assessment in the related art.

[0006] In order to solve the above technical problems, the present invention provides a carbon footprint evaluation method, which comprises:

[0007] Dividing the production life cycle of the silica-alumina gelling material into a plurality of preset stages, wherein the plurality of preset stages include: a raw material acquisition stage, a raw material transportation stage and a silica-alumina gelling material production stage;

[0008] Obtaining calculation data corresponding to each preset stage; the calculation data includes primary activity level data and secondary activity level data; wherein the secondary activity level data is used as the primary activity level data when the primary activity level data is missing;

[0009] Calculate the carbon emissions corresponding to each preset stage according to the accounting data corresponding to each preset stage;

[0010] The carbon emissions corresponding to the production life cycle of the silicon-alumina cementitious material are determined based on the carbon emissions corresponding to each preset stage.

[0011] In an optional implementation, the step of calculating the carbon emissions corresponding to each preset stage according to the accounting data corresponding to each preset stage includes:

[0012] Calculate the carbon emissions corresponding to the raw material acquisition stage according to the consumption of various raw materials in the raw material acquisition stage and the emission factors corresponding to various raw materials;

[0013] Calculate the carbon emissions corresponding to the raw material transportation stage according to the number of transportation trips and transportation distances corresponding to various types of vehicles in the raw material transportation stage, the corresponding consumption of various fuels, emission factors and low calorific value;

[0014] The carbon emissions corresponding to the silicon-aluminum cementitious material production stage are calculated based on the carbon emissions corresponding to the fossil fuels consumed in the silicon-aluminum cementitious material production stage and the carbon emissions corresponding to the electricity consumption.

[0015] In an optional implementation, the step of calculating the carbon emissions corresponding to the raw material acquisition stage according to the consumption of each type of raw materials in the raw material acquisition stage and the emission factors corresponding to each type of raw materials includes:

[0016]

[0017] Among them, GHG MR represents the carbon emissions corresponding to the raw material acquisition stage, A j represents the primary activity level data of the jth raw material, B j represents the emission factor corresponding to the jth type of raw material, GWP j Represents the global warming potential value corresponding to the jth type of raw materials, j = 1, 2, 3…k.

[0018] In an optional embodiment, the carbon emissions corresponding to the raw material transportation stage are calculated according to the number of transportation trips and transportation distances corresponding to various types of vehicles in the raw material transportation stage, the consumption, emission factors and low calorific value of various fuels, including:

[0019] GHG TR =∑ i N t ×D t ×F t ×NCV TR,i ×EF TR,i ;

[0020] Among them, GHG TR Represents the carbon emissions corresponding to the raw material transportation stage, N t represents the number of transport trips corresponding to the vehicle of model t, D t F represents the transportation distance corresponding to the vehicle of model t, t NCV represents the consumption of the i-th type of fuel corresponding to the vehicle model t. TR,iThe lower calorific value of the i-th type of fuel corresponding to the vehicle model t, EF TR,i It represents the emission factor corresponding to the i-th fuel of vehicle model t.

[0021] In an optional embodiment, the carbon emissions corresponding to the silicon-aluminum gelling material production stage are calculated according to the carbon emissions corresponding to the fossil fuels consumed in the silicon-aluminum gelling material production stage and the carbon emissions corresponding to the electricity consumption, including:

[0022] GHG PR =GHG FC +GHG EL ;

[0023] Among them, GHG PR Represents the carbon emissions corresponding to the production stage of silicon-alumina cementitious materials, GHG FC Represents the carbon emissions corresponding to the fossil fuels consumed in the production stage of silica-alumina cementitious materials, GHG EL Represents the carbon emissions corresponding to the electricity consumption in the production stage of silica-alumina cementitious materials.

[0024] In a second aspect, the present invention provides a silicon-alumina gelling material, wherein the silicon-alumina gelling material comprises:

[0025] Base material and alkaline activator;

[0026] The base material includes at least one of red mud and slag, and the alkaline activator includes at least one of sodium carbonate, sodium silicate and sodium hydroxide.

[0027] In an optional embodiment, the alkaline activator is sodium carbonate.

[0028] In an optional embodiment, the mass content of the alkaline activator in the base material is 1-10%.

[0029] In an optional embodiment, the mass content of the alkaline activator in the base material is 5.0-6.0%; and / or the solid content of the alkaline activator is 95-100%.

[0030] In an optional embodiment, the red mud is Bayer process red mud with a water content of 30%, and the slag is water-quenched slag or air-cooled granulated blast furnace slag.

[0031] In a third aspect, the present invention provides a carbon footprint assessment device, the carbon footprint assessment device comprising:

[0032] The first processing module is used to divide the production life cycle of the silicon-aluminum gelling material into a plurality of preset stages, wherein the plurality of preset stages include: a raw material acquisition stage, a raw material transportation stage and a silicon-aluminum gelling material production stage;

[0033] A second processing module is used to obtain the calculation data corresponding to each preset stage; the calculation data includes primary activity level data and secondary activity level data; wherein the secondary activity level data is used as the primary activity level data when the primary activity level data is missing;

[0034] The third processing module is used to calculate the carbon emissions corresponding to each preset stage according to the accounting data corresponding to each preset stage;

[0035] The fourth processing module is used to determine the carbon emissions corresponding to the production life cycle of the silicon-aluminum cementitious material according to the carbon emissions corresponding to each preset stage.

[0036] In a fourth aspect, the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the carbon footprint assessment method of the first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0037] In a fifth aspect, the present invention provides a computer-readable storage medium, on which a single computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the carbon footprint assessment method of the first aspect or any corresponding embodiment thereof.

[0038] In a sixth aspect, the present invention provides a computer program product, comprising computer instructions for causing a computer to execute the carbon footprint assessment method of the first aspect or any corresponding embodiment thereof.

[0039] The technical solution provided by the present invention has the following technical effects:

[0040] The technical solution of the embodiment of the present invention is a carbon footprint evaluation method for materials such as silicon-aluminum cementitious materials, which fills a gap and has great application value. In the embodiment of the present invention, the production life cycle of silicon-aluminum cementitious materials is divided into a raw material acquisition stage, a raw material transportation stage and a silicon-aluminum cementitious materials production stage, and the accounting data corresponding to each preset stage is obtained. The carbon emissions corresponding to each preset stage are calculated according to the accounting data corresponding to each preset stage, and the carbon emissions corresponding to the production life cycle of silicon-aluminum cementitious materials are determined according to the carbon emissions corresponding to each preset stage. By dividing the production life cycle of silicon-aluminum cementitious materials into multiple preset stages, it is ensured that the carbon footprint evaluation of silicon-aluminum cementitious materials covers the entire life cycle from raw material acquisition to product production, thereby improving the accuracy of carbon emission data. Separately calculating the carbon emissions of each preset stage helps to identify the stage with the largest emissions and provide a basis for formulating emission reduction strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 is a flow chart of a carbon footprint assessment method according to an embodiment of the present invention;

[0043] Figure 2 is a schematic diagram of the system boundary of a carbon emission accounting framework according to an embodiment of the present invention;

[0044] Figure 3 is a flow chart of another carbon footprint assessment method according to an embodiment of the present invention;

[0045] Figure 4 is a structural schematic diagram of a carbon footprint assessment device according to an embodiment of the present invention;

[0046] Figure 5 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0048] The embodiment of the present invention provides a carbon footprint evaluation method and a silicon-aluminum gelling material to solve the problem of low accuracy of carbon footprint evaluation in related technologies.

[0049] According to an embodiment of the present invention, a carbon footprint assessment method embodiment is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer device such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0050] Figure 1 4 is a flow chart of a carbon footprint evaluation method according to an embodiment of the present invention.

[0051] like Figure 1As shown, an embodiment of the present invention provides a carbon footprint evaluation method, which is applied to the production life cycle of silicon-aluminum cementitious materials. The carbon footprint evaluation method includes:

[0052] S101: Divide the production life cycle of silica-alumina cementitious materials into a number of preset stages.

[0053] In this embodiment, the plurality of preset stages include: a raw material acquisition stage, a raw material transportation stage and a silicon-alumina gelling material production stage.

[0054] In this embodiment, a carbon emission accounting framework can be established based on multiple preset stages of the production life cycle of the silicon-aluminum cementitious material. The carbon emission accounting framework includes: product composition, functional units and system boundaries.

[0055] In this embodiment, the product composition includes: a base material and an alkaline activator. The base material includes at least one of red mud and slag, and the alkaline activator includes at least one of sodium carbonate, sodium silicate, and sodium hydroxide. Preferably, the alkaline activator is sodium carbonate. The mass content of the alkaline activator in the base material is 1-10%. Preferably, the mass content of the alkaline activator in the base material is 5.0-6.0%. And / or, the solid content of the alkaline activator is 95-100%. The red mud is Bayer red mud with a water content of 30%, and the slag is water-quenched slag or air-cooled granulated blast furnace slag. The carbon footprint evaluation method is applied to the silica-alumina cementitious material prepared from the above product composition.

[0056] In this embodiment, the functional unit is 1 ton of silicon-aluminum gelling material. As an example, the carbon emission corresponding to one ton of silicon-aluminum gelling material can be calculated, and then the carbon emission corresponding to the total mass of silicon-aluminum gelling material can be obtained according to the total mass of silicon-aluminum gelling material and the carbon emission corresponding to one ton of silicon-aluminum gelling material.

[0057] In this embodiment, if Figure 2 The system boundary shown includes: multiple preset stages, which is equivalent to the system boundary including the raw material acquisition stage, the raw material transportation stage and the silica-alumina gelling material production stage.

[0058] S102: Obtain accounting data corresponding to each preset stage.

[0059] In this embodiment, the accounting data includes primary activity level data and secondary activity level data. The secondary activity level data is used as the primary activity level data when the primary activity level data is missing. The accounting data corresponding to each preset stage can be obtained based on the carbon emission accounting framework.

[0060] In this embodiment, the primary activity level data and secondary activity level data corresponding to each preset stage are determined and obtained. The primary activity level data includes directly emitted activity data or data obtained from a specific site, and may also include data allocation values ​​in the corresponding process of the product. The primary activity level data can be obtained through measurement or modeling, and the result is a specific value in the product production life cycle. The primary activity level data is obtained directly from actual production activities or operations, reflecting the actual energy consumption and materials in the production process. For example: the actual amount of electricity consumed in the production process of silicon-alumina cementitious materials (kWh), the directly measured amount of raw materials (such as sodium carbonate) extracted, and the amount of greenhouse gases emitted by the factory obtained through on-site monitoring equipment.

[0061] Secondary activity data are not obtained directly from the production activities of a specific product, but are obtained from other sources (e.g., life cycle databases, industry associations and supplier reports, or another process or activity within the organization, such as primary activity data for the same or similar products) and are used to estimate or supplement primary activity data.

[0062] In this embodiment, secondary activity data are used to supplement the deficiencies of primary activity data, especially when primary activity data are difficult to obtain or the cost is too high. The combination of the two can provide a more comprehensive and accurate environmental impact assessment. When performing carbon footprint accounting, primary activity data are preferred because they provide the most direct and accurate information. When primary activity data are not available, secondary activity data can serve as an effective supplement to ensure the integrity and continuity of the assessment.

[0063] In this embodiment, the production life cycle of silica-alumina cementitious materials is divided into the raw material acquisition stage, the raw material transportation stage and the silica-alumina cementitious materials production stage based on the difficulty of obtaining accounting data, the relevance to the production process, and the different characteristics of the impact on the environment. The production life cycle of silica-alumina cementitious materials is divided into the above three stages, which helps to more accurately evaluate and manage the environmental impact of the entire production process. These three stages generally cover the greatest environmental impacts in the production process of silica-alumina cementitious materials, including energy consumption, greenhouse gas emissions and resource use.

[0064] In this embodiment, based on the difficulty of obtaining accounting data, those stages where accurate and reliable accounting data can be obtained are selected to conduct effective carbon footprint assessment. The data of the above three stages are usually well recorded and monitored, and it is easy to obtain the accounting data of the above three stages, and the reliability is high. The above three stages are directly related to the production process. The raw material acquisition stage may involve the environmental impact of mining and resource extraction, the raw material transportation stage may involve the energy consumption of transportation vehicles during operation, and the production stage may involve energy consumption and waste emissions. The above three stages have different characteristics of environmental impact.

[0065] S103: Calculate the carbon emissions corresponding to each preset stage according to the accounting data corresponding to each preset stage.

[0066] In this embodiment, the carbon emissions corresponding to the raw material acquisition stage can be calculated based on the accounting data corresponding to the raw material acquisition stage. The carbon emissions corresponding to the raw material acquisition stage include the carbon emissions generated during the mining and production process of the raw materials.

[0067] In this embodiment, the carbon emissions corresponding to the raw material transportation stage can be calculated based on the accounting data corresponding to the raw material transportation stage. The carbon emissions corresponding to the raw material transportation stage include the carbon emissions generated by the transportation distance, transportation vehicle, fuel type and usage.

[0068] In this embodiment, the carbon emissions corresponding to the production stage of the silicon-alumina gelling material can be calculated according to the accounting data corresponding to the production stage of the silicon-alumina gelling material. The carbon emissions corresponding to the production stage of the silicon-alumina gelling material include the carbon emissions generated by the energy consumption of the production process such as raw material homogenization, drying, grinding, activation, transportation, and product packaging.

[0069] S104: Determine the carbon emissions corresponding to the production life cycle of the silicon-alumina cementitious material according to the carbon emissions corresponding to each preset stage.

[0070] In this embodiment, the sum of the carbon emissions corresponding to the various preset stages can be determined as the carbon emissions corresponding to the production life cycle of the silicon-aluminum cementitious material.

[0071] According to an embodiment of the present invention, another embodiment of a carbon footprint assessment method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer device such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0072] Figure 3 4 is a flow chart of another carbon footprint assessment method according to an embodiment of the present invention.

[0073] like Figure 3 As shown, another carbon footprint evaluation method is provided in an embodiment of the present invention, and the carbon footprint evaluation method includes:

[0074] S201: Divide the production life cycle of the silicon-aluminum gelling material into a plurality of preset stages. For details, refer to the relevant description of S101, which will not be described in detail here.

[0075] S202: Obtaining the accounting data corresponding to each preset stage. For details, refer to the relevant description of S102, which will not be repeated here.

[0076] S203: Calculate the carbon emissions corresponding to the raw material acquisition stage according to the consumption of various raw materials in the raw material acquisition stage and the emission factors corresponding to various raw materials.

[0077] In this embodiment, the accounting data corresponding to the raw material acquisition stage includes the consumption of various types of raw materials and the emission factors corresponding to various types of raw materials.

[0078] The above S203 calculates the carbon emissions corresponding to the raw material acquisition stage according to the consumption of various raw materials in the raw material acquisition stage and the emission factors corresponding to various raw materials. The calculation formula is:

[0079]

[0080] Among them, GHG MR represents the carbon emissions corresponding to the raw material acquisition stage, A j represents the consumption of the jth type of raw material, B j represents the emission factor corresponding to the jth type of raw material, GWP j Represents the global warming potential value corresponding to the jth type of raw materials, j = 1, 2, 3…k.

[0081] S204: Calculate the carbon emissions corresponding to the raw material transportation stage according to the number of transportation trips and transportation distances corresponding to various types of vehicles in the raw material transportation stage, the corresponding consumption of various fuels, emission factors and low calorific value.

[0082] In this embodiment, the accounting data corresponding to the raw material transportation stage includes the number of transportation trips and transportation distances corresponding to various types of vehicles, the consumption, emission factors and low calorific value of various fuels.

[0083] The above S204 calculates the carbon emissions corresponding to the raw material transportation stage according to the number of transportation trips and transportation distances corresponding to various types of vehicles in the raw material transportation stage, the consumption of various fuels, emission factors and low calorific value. The calculation formula is:

[0084] GHG TR =∑ i Nt ×D t ×F t ×NCV TR,i ×EF TR,i .

[0085] Among them, GHG TR Represents the carbon emissions corresponding to the raw material transportation stage, N t represents the number of transport trips corresponding to the vehicle of model t, D t represents the transport distance (km) corresponding to the vehicle model t, F t NCV represents the consumption of the i-th type of fuel corresponding to the vehicle model t. TR,i Indicates the lower calorific value of the i-th type of fuel corresponding to the vehicle model t (solid or liquid fuel GJ / t, gas fuel GJ / 104Nm3), EF TR,i It represents the emission factor (kgCO2 / GJ) corresponding to the i-th type of fuel corresponding to the vehicle of model t, t represents the model of the vehicle, and i represents the type of fuel used by the vehicle.

[0086] In this embodiment, D t Indicates the transportation distance corresponding to the vehicle model t, specifically the average distance (km) that the vehicle model t uses to transport raw materials. Emission factor EF corresponding to the i-th fuel TR,i The corresponding calculation formula is:

[0087]

[0088] Among them, CC i Indicates the carbon content per unit calorific value of the i-th type of fuel (kgC / GJ), OF i = represents the carbon oxidation rate (%) of the i-th type of fuel. As an example, using a heavy diesel truck for transportation (load 46 t) and a transportation distance of 100 km, GHGTR = 5.7 kgCO2 / t cementitious material can be obtained.

[0089] S205: Calculate the carbon emissions corresponding to the silicon-aluminum cementitious material production stage according to the carbon emissions corresponding to the fossil fuels consumed in the silicon-aluminum cementitious material production stage and the carbon emissions corresponding to the electricity consumption.

[0090] In this embodiment, the accounting data corresponding to the production stage of silica-alumina cementitious materials include the activity levels of various fossil fuels, the carbon dioxide emission factors of various fossil fuels, the average lower calorific value of various fossil fuels, the net consumption of various fossil fuels, and the electricity consumption (electricity consumption) and the emission factors of electricity.

[0091] The above S205 calculates the carbon emissions corresponding to the silicon-aluminum cementitious material production stage according to the carbon emissions corresponding to the fossil fuels consumed in the silicon-aluminum cementitious material production stage and the carbon emissions corresponding to the electricity consumption. The calculation formula corresponding to the carbon emissions corresponding to the silicon-aluminum cementitious material production stage is:

[0092] GHG PR =GHG fC +GHG EL .

[0093] Among them, GHG PR It indicates the carbon emission corresponding to the production stage of silicon-alumina cementitious materials, in kilograms of carbon dioxide equivalent (kgCO2e), GHG EC It indicates the carbon emission corresponding to the fossil fuel consumed in the production stage of silica-alumina cementitious materials, in kilograms of carbon dioxide equivalent (kgCO2e), GHG EL It represents the carbon emissions corresponding to the electricity consumption in the production stage of silica-alumina cementitious materials, in kilograms of carbon dioxide equivalent (kgCO2e).

[0094] In this embodiment, the specific calculation formula for the carbon emissions corresponding to fossil fuels is:

[0095] GHG FC =AD FC,i ×EF FC,i , A.D. FC,i =NCV FC,i ×FC i .

[0096] Among them, AD FC,i represents the activity level of the i-th fossil fuel consumed in the production of silica-alumina cementitious materials (GJ), EF FC,i NCV is the carbon dioxide emission factor (kg CO2 / GJ) of the i-th fossil fuel consumed in the production of silica-alumina cementitious materials. FC,i represents the average lower calorific value of the i-th fossil fuel consumed in the production of silica-alumina cementitious materials (solid or liquid fuel GJ / t, gas fuel GJ / 104Nm3), FC i It represents the net consumption of the i-th fossil fuel consumed in the production of silica-alumina cementitious materials (solid or liquid fuel t, gas fuel 10,000 Nm3).

[0097] In this embodiment, the specific calculation formula for the carbon emissions corresponding to the electricity consumption is:

[0098] GHG EL =EC EL ×EF EL .

[0099] Among them, EC EL Indicates the electricity consumption (MWh) of the production of silica-alumina cementitious materials, EFEL Express the emission factor for electricity (kg CO2 / MWh).

[0100] S206: Determine the carbon emission corresponding to the production life cycle of the silicon-aluminum cementitious material according to the carbon emission corresponding to each preset stage. For details, refer to the relevant description of S104, which will not be repeated here.

[0101] Silica-alumina cementitious materials use red mud, mineral powder, steel slag, fly ash and other solid waste as main raw materials, and do not require high-temperature calcination. They produce gelling properties under the action of activators such as alkali metal compounds and sulfates. They are a new type of low-carbon cement with significant low-carbon characteristics. Its production and application involve the fields of multidisciplinary intersection and multi-technical integration. In order to standardize the production and use of this material, the present invention not only provides the above technical solution to evaluate the carbon footprint of the production life cycle of silica-alumina cementitious materials, but also provides a silica-alumina cementitious material.

[0102] The silica-alumina gelling material comprises:

[0103] Base material and alkaline activator.

[0104] The base material includes at least one of red mud and slag, and the alkaline activator includes at least one of sodium carbonate, sodium silicate and sodium hydroxide.

[0105] In this embodiment, the use of industrial byproducts red mud and slag as base materials helps reduce the environmental impact of waste, reduces carbon emissions, and can achieve resource recycling. The use of alkaline activators reduces the reliance on high energy consumption and high emissions in traditional cement production, helping to reduce overall carbon emissions.

[0106] In an alternative embodiment, the alkaline activator is sodium carbonate.

[0107] In an optional embodiment, the mass content of the alkaline activator in the base material is 1-10% (calculated as sodium carbonate).

[0108] In an optional embodiment, the mass content of the alkaline activator in the base material is 5.0-6.0% (calculated as sodium carbonate), and / or the solid content of the alkaline activator is 95-100%.

[0109] In an optional embodiment, the red mud is Bayer process red mud with a moisture content of 30%, and the slag is water-quenched slag or air-cooled granulated blast furnace slag.

[0110] In this embodiment, Bayer red mud is a byproduct produced during the Bayer process of producing alumina in the aluminum industry, and usually contains a large amount of fine particles and alkaline substances. Using Bayer red mud as a base material for silica-alumina gelling materials has the following advantages:

[0111] The use of Bayer red mud as the base material of silica-alumina cementitious materials reduces the accumulation of industrial waste and environmental impact, and realizes the resource utilization of waste. Reducing the stacking and landfill of red mud reduces the occupation of land resources and the damage to the ecosystem. Converting red mud into valuable products reduces the cost of raw materials and improves economic benefits. The silicon, aluminum, iron and other components contained in red mud can be used as active components of cementitious materials, which helps to improve the performance of silica-alumina cementitious materials. The fine particle characteristics of red mud can improve the density and uniformity of silica-alumina cementitious materials, thereby improving the mechanical properties and durability of silica-alumina cementitious materials. The use of red mud reduces the energy consumption in the production process of traditional cementitious materials and helps to achieve low-carbon production. Converting red mud into useful building materials and using red mud to replace some traditional raw materials reduces the exploitation and consumption of natural resources.

[0112] In this embodiment, the alkaline activator is also solid, and the water contained is mainly crystal water and chemically bound water / hydroxyl group, and the amount used is also very low, and there is no need to control water. Since the water contained in the alkaline activator is mainly crystal water and chemically bound water / hydroxyl group, there is no need to control the water content during the production process, which simplifies the production process. This embodiment not only improves the performance of the silicon-aluminum gelling material by optimizing the material ratio and utilizing industrial by-products, but also helps to reduce carbon emissions and production costs.

[0113] The formula of silicon-aluminum gelling material is shown in Table 1:

[0114] Table 1 Formula of silicon-alumina gelling material

[0115] Mineral powder Red Mud Sodium carbonate Sodium hydroxide Sodium silicate Example 1 60 40 1.7 0 0 Example 2 60 40 5.0 0 0 Example 3 60 40 8.7 0 0 Example 4 60 40 10.4 0 0 Example 5 60 40 17 0 0 Example 6 60 40 0 1.3 0 Example 7 60 40 0 5.0 0 Example 8 60 40 0 6.6 0 Example 9 60 40 0 8.0 0 Example 10 60 40 0 13.3 0 Embodiment 11 60 40 0 0 2.9 Example 12 60 40 0 0 8.0 Embodiment 13 60 40 0 0 14.6 Embodiment 14 60 40 0 0 17.6 Embodiment 15 60 40 0 0 29 Comparative Example 1 60 40 1.0 0 0 Comparative Example 2 60 40 0 1.0 0 Comparative Example 3 60 40 0 0 1.0

[0116] The present invention also provides a method for preparing a silicoalumina gelling material, which comprises: using a multi-component composite excitation method, through the reasonable use of red mud and granulated blast furnace slag, and utilizing the organic coordination of multiple chemical auxiliary excitation agents to prepare the silicoalumina gelling material.

[0117] In the present invention, the carbon footprint of the production process can be quantitatively calculated by the proposed life cycle carbon footprint evaluation method.

[0118] The carbon emission data of the silicon-alumina gelling material prepared by the present invention are shown in Tables 2 to 4, wherein A in Tables 2 to 4 represents the red mud content by weight, and B represents the activator content by weight:

[0119] Table 2 Carbon emission of alkali activated cementitious materials when Na2CO3 is used as the activator (kgCO2 / t cementitious material)

[0120]

[0121] Table 3 Carbon emissions of alkali activated cementitious materials when NaOH is used as the activator (kgCO2 / t cementitious material)

[0122]

[0123]

[0124] Table 4 Carbon emission of alkali activated cementitious materials when Na2O·2SiO2 is used as the activator (kgCO2 / t cementitious material)

[0125]

[0126] The silicon-alumina cementitious materials prepared according to Examples 1-15 in Table 1 were mixed and formed according to the provisions of GB / T17671-1999 "Test Method for Strength of Cement Mortar (ISO Method)", and cured in water: the mortar specimens were demolded after being cured in a curing box at 20℃±2℃ and a relative humidity of not less than 90% for 1 day, and the demolded specimens were placed in water at 20℃±1℃ for curing for 28 days to test the compressive strength.

[0127] The compressive strength of the silica-alumina cementitious material mortar obtained in Examples 1-15 after molding and curing is shown in Table 5.

[0128] Table 5 Compressive strength of mortar corresponding to Examples 1-15 and Comparative Examples 1-3

[0129] Compressive strength 3d / MPa 28d / MPa Example 1 14.0 35.0 Example 2 20.0 43.9 Example 3 33.5 58.6 Example 4 33.8 59.1 Example 5 35.0 55.3 Example 6 13.9 31.2 Example 7 21.2 40.3 Example 8 34.2 59.8 Example 9 34.6 60.2 Example 10 36.3 58.9 Embodiment 11 15.2 33.8 Example 12 21.5 44.6 Embodiment 13 36.3 61.6 Embodiment 14 37.1 62.1 Embodiment 15 36.0 60.1 Comparative Example 1 3.9 8.2 Comparative Example 2 4.6 10.2 Comparative Example 3 5.9 12.9

[0130] It can be seen from the above data that the silicon-alumina cementitious material prepared in the embodiment of the present invention has a compressive strength of >30.0 MPa after curing in water for 3 days, a compressive strength of >37.0 MPa after 7 days, and a compressive strength of >44.0 MPa after 28 days.

[0131] Combined with the experimental results, it can be seen that when the amount of alkaline activator exceeds 10%, the carbon emissions are high and the strength increase is not obvious. When the amount of alkaline activator is less than 1%, the strength of the cementitious material is too low. Considering both strength and carbon emissions, an alkaline activator amount of 5.0-6.0% is optimal. From the carbon emission results of three alkaline activators (sodium carbonate, sodium silicate, and sodium hydroxide), the carbon emission is the lowest when sodium carbonate is used as an alkaline activator. Therefore, in the present invention, an alkaline activator amount of 5.0-6.0% is preferably used, and the alkaline activator is sodium carbonate. The use of 5.0-6.0% sodium carbonate as an alkaline activator can reduce carbon emissions while better promoting the reaction between cementitious components, further improving the flexural strength and compressive strength of the silica-alumina cementitious material (cement).

[0132] The present invention provides a silica-alumina cementitious material and a preparation method, which not only provides a high value-added resource utilization method for industrial by-product red mud, but also provides a carbon footprint evaluation method based on the production life cycle of the silica-alumina cementitious material. The carbon footprint evaluation method quantitatively calculates the carbon footprint of the silica-alumina cementitious material production process, provides a method for carbon emission accounting of such materials, fills a gap, and has great application value.

[0133] The carbon footprint evaluation method provided by the present invention is simple, and the consumption of the preparation process of the silicon-aluminum gelling material is low. The silicon-aluminum gelling material hardens quickly, has high strength, and has a wide range of applications. From the perspectives of technology, economy, and environmental protection, the present invention will have significant social, economic, and environmental benefits, is highly practical, and is suitable for popularization and use.

[0134] It should be noted that the contents not described in detail in the specification of the present invention belong to the common knowledge of those skilled in the art.

[0135] The present invention also provides a carbon footprint assessment device, a single device is used to implement the above-mentioned embodiments and optional implementations, which have been described and will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0136] Figure 4 Schematic diagram of the structure of a carbon footprint assessment device according to an embodiment of the present invention.

[0137] The present invention provides a carbon footprint assessment device, such as Figure 4 As shown, the carbon footprint assessment device comprises:

[0138] The first processing module 11 is used to divide the production life cycle of the silicon-aluminum gelling material into a plurality of preset stages, which include: a raw material acquisition stage, a raw material transportation stage and a silicon-aluminum gelling material production stage.

[0139] The second processing module 12 is used to obtain the calculation data corresponding to each preset stage. The calculation data includes primary activity level data and secondary activity level data. Among them, the secondary activity level data is used as the primary activity level data when the primary activity level data is missing.

[0140] The third processing module 13 is used to calculate the carbon emission corresponding to each preset stage according to the accounting data corresponding to each preset stage.

[0141] The fourth processing module 14 is used to determine the carbon emissions corresponding to the production life cycle of the silicon-aluminum cementitious material according to the carbon emissions corresponding to each preset stage.

[0142] In an optional implementation, the third processing module 13 includes:

[0143] The first processing unit is used to calculate the carbon emissions corresponding to the raw material acquisition stage according to the consumption of various raw materials in the raw material acquisition stage and the emission factors corresponding to various raw materials.

[0144] The second processing unit is used to calculate the carbon emissions corresponding to the raw material transportation stage according to the number of transportation trips and transportation distances corresponding to various types of vehicles in the raw material transportation stage, the corresponding consumption of various fuels, emission factors and low calorific value.

[0145] The third processing unit is used to calculate the carbon emissions corresponding to the silicon-aluminum cementitious material production stage according to the carbon emissions corresponding to the fossil fuels consumed in the silicon-aluminum cementitious material production stage and the carbon emissions corresponding to the electricity consumption.

[0146] In an optional implementation, the first processing unit is specifically configured to calculate the carbon emissions corresponding to the raw material acquisition stage according to the following formula:

[0147]

[0148] Among them, GHG Mr represents the carbon emissions corresponding to the raw material acquisition stage, A j represents the primary activity level data of the jth raw material, B j represents the emission factor corresponding to the jth type of raw material, GWP j Represents the global warming potential value corresponding to the jth type of raw materials, j = 1, 2, 3…k.

[0149] In an optional implementation, the second processing unit is specifically configured to calculate the carbon emissions corresponding to the raw material transportation stage according to the following formula:

[0150] GHG TR =∑ i N t ×D t ×F t ×NCV TR,i ×EF TR,i .

[0151] Among them, GHG TR Represents the carbon emissions corresponding to the raw material transportation stage, N t represents the number of transport trips corresponding to the vehicle of model t, D t F represents the transportation distance corresponding to the vehicle of model t, t NCV represents the consumption of the i-th type of fuel corresponding to the vehicle model t. TR,iThe lower calorific value of the i-th type of fuel corresponding to the vehicle model t, EF TR,i It represents the emission factor corresponding to the i-th fuel of vehicle model t.

[0152] In an optional implementation, the third processing unit is specifically used to calculate the carbon emissions corresponding to the production stage of the silicon-alumina cementitious material according to the following formula:

[0153] GHG PR =GHG FC +GHG EL .

[0154] Among them, GHG PR Represents the carbon emissions corresponding to the production stage of silicon-alumina cementitious materials, GHG FC Represents the carbon emissions corresponding to the fossil fuels consumed in the production stage of silica-alumina cementitious materials, GHG EL Represents the carbon emissions corresponding to the electricity consumption in the production stage of silica-alumina cementitious materials.

[0155] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0156] The carbon footprint assessment device in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0157] The embodiment of the present invention also provides a computer device having the above Figure 4 The carbon footprint assessment device shown.

[0158] See also Figure 5 , Figure 5 Schematic diagram of the hardware structure of the computer device according to the embodiment of the present invention. Figure 5As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In an optional embodiment, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor device). Figure 5 A processor 10 is taken as an example.

[0159] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0160] The memory 20 stores instructions executable by at least one processor 10, so that at least one processor 10 executes the method shown in the above embodiment.

[0161] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating device, an application required for at least one function. The data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage devices. In an optional embodiment, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0162] The memory 20 may include a volatile memory, such as a random access memory. The memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive. The memory 20 may also include a combination of the above-mentioned types of memory.

[0163] The computer device further comprises a communication interface 30 for the computer device to communicate with other devices or a communication network.

[0164] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc. Further, the storage medium can also include a combination of the above-mentioned types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0165] A part of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the existence of the computer program instruction in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc., and accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium accessible to the computer.

[0166] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A carbon footprint assessment method, characterized in that: include: Dividing the production life cycle of the silica-alumina gelling material into a plurality of preset stages, wherein the plurality of preset stages include: a raw material acquisition stage, a raw material transportation stage and a silica-alumina gelling material production stage; Obtaining calculation data corresponding to each preset stage; the calculation data includes primary activity level data and secondary activity level data; wherein the secondary activity level data is used as the primary activity level data when the primary activity level data is missing; Calculate the carbon emissions corresponding to each preset stage according to the accounting data corresponding to each preset stage; The carbon emissions corresponding to the production life cycle of the silicon-alumina cementitious material are determined based on the carbon emissions corresponding to each preset stage.

2. The method according to claim 1, characterized in that The calculating of the carbon emissions corresponding to each preset stage according to the accounting data corresponding to each preset stage includes: Calculate the carbon emissions corresponding to the raw material acquisition stage according to the consumption of various raw materials in the raw material acquisition stage and the emission factors corresponding to various raw materials; Calculate the carbon emissions corresponding to the raw material transportation stage according to the number of transportation trips and transportation distances corresponding to various types of vehicles in the raw material transportation stage, the corresponding consumption of various fuels, emission factors and low calorific value; The carbon emissions corresponding to the silicon-aluminum cementitious material production stage are calculated based on the carbon emissions corresponding to the fossil fuels consumed in the silicon-aluminum cementitious material production stage and the carbon emissions corresponding to the electricity consumption.

3. The method according to claim 2, characterized in that The calculating of the carbon emissions corresponding to the raw material acquisition stage according to the consumption of various raw materials in the raw material acquisition stage and the emission factors corresponding to various raw materials includes: Among them, GHG MR represents the carbon emissions corresponding to the raw material acquisition stage, A j represents the primary activity level data of the jth raw material, B j Indicates the emission factor corresponding to the jth type of raw material, GWP j Represents the global warming potential value corresponding to the jth type of raw materials, j = 1, 2, 3…k.

4. The method according to claim 2, characterized in that: The carbon emissions corresponding to the raw material transportation stage are calculated according to the number of transportation trips and transportation distances corresponding to various types of vehicles in the raw material transportation stage, the consumption of various fuels, emission factors and low calorific value, including: GHG TR =∑ i N t ×D t ×F t ×NCV TR,i ×EF TR,i ; Among them, GHG TR Represents the carbon emissions corresponding to the raw material transportation stage, N t represents the number of transport trips corresponding to the vehicle of model t, D t F represents the transportation distance corresponding to the vehicle of model t, t NCV represents the consumption of the i-th type of fuel corresponding to the vehicle model t. TR,i The lower calorific value of the i-th type of fuel corresponding to the vehicle model t, EF TR,i It represents the emission factor corresponding to the i-th fuel of vehicle model t.

5. The method according to claim 2, characterized in that: The carbon emission corresponding to the production stage of the silicon-aluminum gelling material is calculated according to the carbon emission corresponding to the fossil fuel consumed in the production stage of the silicon-aluminum gelling material and the carbon emission corresponding to the electricity consumption, including: GHG PR =GHG FC +GHG EL ; Among them, GHG PR Represents the carbon emissions corresponding to the production stage of silicon-alumina cementitious materials, GHG FC Represents the carbon emissions corresponding to the fossil fuels consumed in the production stage of silica-alumina cementitious materials, GHG EL Represents the carbon emissions corresponding to the electricity consumption in the production stage of silica-alumina cementitious materials.

6. A silicon-alumina gelling material, characterized in that: include: Base material and alkaline activator; The base material includes at least one of red mud and slag, and the alkaline activator includes at least one of sodium carbonate, sodium silicate and sodium hydroxide.

7. The silicon-alumina gelling material according to claim 6, characterized in that: The alkaline activator is sodium carbonate.

8. The silicon-alumina gelling material according to claim 7, characterized in that: The mass content of the alkaline activator in the base material is 1-10%.

9. The silicon-alumina gelling material according to claim 8, characterized in that: The mass content of the alkaline activator in the base material is 5.0-6.0%; and / or the solid content of the alkaline activator is 95-100%.

10. The silicon-alumina gel material according to claim 6, characterized in that: The red mud is Bayer red mud with a water content of 30%, and the slag is water-quenched slag or air-cooled granulated blast furnace slag.

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