Capacity configuration method and device for coal chemical coupling new energy methanol preparation system

Abstract

The invention provides a capacity configuration method and device of a coal chemical coupling new energy methanol preparation system. The capacity configuration method comprises the following steps: determining the yield of green methanol in methanol prepared by the coal chemical coupling new energy methanol preparation system; according to the green methanol yield and the production and operation data of the coal chemical industry methanol preparation system, initial capacity configuration of a new energy power generation system, a waste heat power generation system and a hydrogen production system and an operation control strategy of the coal chemical industry coupling new energy methanol preparation system are determined; the coal chemical coupling new energy methanol preparation system is operated in a simulated mode through the operation control strategy, and a capacity configuration model with the highest overall benefit of the coal chemical coupling new energy methanol preparation system operated in a simulated mode as a target function is established; and calculating and solving the capacity configuration model by taking the initial capacity configuration as an initial value to obtain the optimal capacity configuration of the coal chemical coupling new energy methanol preparation system. According to the invention, the capacity optimization configuration of new energy coupling coal chemical methanol preparation can be realized.

Description

Technical Field

[0001] The present disclosure generally relates to the chemical industry field, and more specifically, to a method and device for capacity configuration of a coal chemical industry coupled with a new energy methanol production system. Background Art

[0002] As an important basic chemical raw material, methanol produced from coal is an important part of the carbon reduction process in the coal chemical industry. Therefore, it is necessary to analyze the coal chemical industry to achieve carbon reduction and greening of the coal chemical industry.

[0003] The production of methanol from coal chemical industry can stably produce methanol, but a large amount of carbon dioxide is emitted during the production process, which does not conform to the current global carbon reduction development trend. It is urgent to find a process route that can achieve carbon reduction in the coal chemical industry.

[0004] The production of green hydrogen from new energy is considered to be an important path for future new energy consumption and the green development of hydrogen energy. However, at the current technical level, the production economy of green hydrogen is poor and the reliability of continuous production is insufficient. At present, the path of producing green methanol from new energy-produced green hydrogen still needs to be further improved in terms of technical economy. The traditional methanol production plan from coal chemical industry has a stable production process and relatively high production reliability, but also has a high carbon emission.

[0005] The green hydrogen path and the coal chemical hydrogen production path have good complementarity. However, there are few studies on how to comprehensively consider economy, reliability, and environmental protection to achieve overall benefits at the same time. The existing research is still in the stage of recognizing the basis for the coupling of new energy and coal chemical industry, and has not fully utilized the regulation capabilities of each link of the whole system to provide a capacity configuration plan that comprehensively considers reliability, economy, and environmental protection.

[0006] Therefore, it is urgent to start from a global perspective to study the optimization configuration plan of coal chemical industry coupled with new energy methanol production, and on the basis of ensuring the safe and reliable operation of the system, improve the economy and environmental protection of the project. Summary of the Invention

[0007] One of the objectives of the exemplary embodiments of the present disclosure is to optimize the capacity configuration of a coal chemical industry coupled with a new energy methanol production system.

[0008] According to a first aspect of the present disclosure, a method for capacity configuration of a coal chemical industry coupled with new energy for methanol production system is provided. The coal chemical industry coupled with new energy for methanol production system includes a coal chemical methanol preparation system for manufacturing methanol, a new energy power generation system, a waste heat power generation system for generating electricity by using the waste heat of the coal chemical methanol preparation system, and a hydrogen production system. The capacity configuration method includes: determining the green methanol output in the methanol prepared by the coal chemical industry coupled with new energy for methanol production system; determining the preliminary capacity configuration of the new energy power generation system, the waste heat power generation system, and the hydrogen production system and the operation control strategy of the coal chemical industry coupled with new energy for methanol production system according to the green methanol output and the production and operation data of the coal chemical methanol preparation system; enabling the coal chemical industry coupled with new energy for methanol production system to simulate operation with the operation control strategy and establishing a capacity configuration model with the highest overall benefit of the simulated operation of the coal chemical industry coupled with new energy for methanol production system as the objective function; and calculating and solving the capacity configuration model with the preliminary capacity configuration as the initial value to obtain the optimal capacity configuration of the coal chemical industry coupled with new energy for methanol production system.

[0009] Optionally, the step of calculating and solving the capacity configuration model with the preliminary capacity configuration as the initial value to obtain the optimal capacity configuration of the coal chemical industry coupled with new energy for methanol production system may include: using a fuzzy adaptive algorithm to iteratively solve the capacity configuration model with the preliminary capacity configuration as the initial value to obtain the optimal capacity configuration of the coal chemical industry coupled with new energy for methanol production system.

[0010] Optionally, the step of using a fuzzy adaptive algorithm to iteratively solve the capacity configuration model with the preliminary capacity configuration as the initial value to obtain the optimal capacity configuration of the coal chemical industry coupled with new energy for methanol production system may include: performing PI regulation on the initial capacity configuration to obtain the optimal capacity configuration of the new energy power generation system, the waste heat power generation system, and the hydrogen production system. During the PI regulation process, a fuzzy mathematics algorithm is used to calculate the power difference and the rate of change of the power difference between the predicted power value and the actual power value of the new energy power generation system to obtain the optimal PI coefficient, and the optimal capacity configuration of the new energy power generation system, the waste heat power generation system, and the hydrogen production system is determined according to the optimal PI coefficient.

[0011] Optionally, the optimal capacity configuration of the new energy power generation system may include the rated output power of the new energy power generation system, the optimal capacity configuration of the waste heat power generation system may include the maximum output power of the waste heat power generation system, and the optimal capacity configuration of the hydrogen production system includes the maximum power of the hydrogen production system.

[0012] Optionally, the steps of determining the preliminary capacity configuration of the new energy power generation system, the waste heat power generation system, and the hydrogen production system according to the green methanol production and the production and operation data of the coal chemical methanol preparation system may include: determining the initial capacity configuration of the waste heat power generation system based on the production and operation data of the coal chemical methanol preparation system; determining the initial capacity configuration of the new energy power generation system according to the wind resources at the location of the coal chemical coupling new energy methanol production system and the annual on-grid power limit of the coal chemical coupling new energy methanol production system; determining the initial capacity configuration of the hydrogen production system based on the initial capacity configuration of the waste heat power generation system and the initial capacity configuration of the new energy power generation system.

[0013] Optionally, the steps of determining the green methanol production in the methanol produced by the coal chemical coupling new energy methanol production system may include: determining the methanol production according to the methanol demand and the historical methanol sales curve; determining the proportion of green methanol according to the pre-determined carbon emission requirements; determining the green methanol production based on the methanol production and the proportion of green methanol.

[0014] Optionally, the objective function is constrained by the sum of the output power of the waste heat power generation system, the output power of the new energy power generation system, and a pre-determined off-grid power upper limit value being greater than the power demands of the hydrogen production system and the coal chemical methanol preparation system.

[0015] Optionally, the coal chemical coupling new energy methanol production system may be an on-grid coal chemical coupling new energy methanol production system.

[0016] Optionally, the operation control strategy may include: in response to the power generation power of the new energy power generation system at its initial capacity configuration being greater than the power upper limit value of the hydrogen production system at its initial capacity configuration, controlling the hydrogen production system to operate at the power upper limit; in response to the power generation power of the new energy power generation system at its initial capacity configuration being less than or equal to the power upper limit value of the hydrogen production system at its initial capacity configuration and the power generation power of the new energy power generation system at its initial capacity configuration being greater than or equal to the power lower limit value of the hydrogen production system at its initial capacity configuration, controlling the hydrogen production system to operate at the power generation power of the new energy power generation system at its initial capacity configuration.

[0017] Optionally, the operation control strategy may further include: in response to the power generation power of the new energy power generation system under its initial capacity configuration being greater than the power upper limit value of the hydrogen production system under its initial capacity configuration and the power difference between the power generation power of the new energy power generation system under its initial capacity configuration and the power upper limit value of the hydrogen production system under its initial capacity configuration being greater than the power upper limit value of the coal chemical methanol preparation system, controlling the coal chemical methanol preparation system to operate at the power upper limit value; in response to the power generation power of the new energy power generation system under its initial capacity configuration being greater than the power upper limit value of the hydrogen production system under its initial capacity configuration, the power difference between the power generation power of the new energy power generation system under its initial capacity configuration and the power upper limit value of the hydrogen production system under its initial capacity configuration being less than or equal to the power upper limit value of the coal chemical methanol preparation system and greater than or equal to the power lower limit value of the coal chemical methanol preparation system, controlling the coal chemical methanol preparation system to operate at the power difference.

[0018] According to a second aspect of the present disclosure, there is provided a capacity configuration device for a coal chemical coupled new energy methanol production system. The coal chemical coupled new energy methanol production system includes a coal chemical methanol preparation system for manufacturing methanol, a new energy power generation system, a waste heat power generation system for generating electricity using the waste heat of the coal chemical methanol preparation system, and a hydrogen production system. The capacity configuration device includes: a first determination unit for determining the green methanol production in the methanol prepared by the coal chemical coupled new energy methanol production system; a second determination unit for determining the preliminary capacity configuration of the new energy power generation system, the waste heat power generation system, and the hydrogen production system and the operation control strategy of the coal chemical coupled new energy methanol production system according to the green methanol production and the production and operation data of the coal chemical methanol preparation system; a modeling unit for simulating the operation of the coal chemical coupled new energy methanol production system with the operation control strategy and establishing a capacity configuration model with the overall benefit of the simulated operation of the coal chemical coupled new energy methanol production system being the objective function; and a solving unit for calculating and solving the capacity configuration model with the preliminary capacity configuration as the initial value to obtain the optimal capacity configuration of the coal chemical coupled new energy methanol production system.

[0019] Optionally, the solving unit may be configured to: perform PI adjustment on the initial capacity configuration to obtain the optimal capacity configuration of the new energy power generation system, the optimal capacity configuration of the waste heat power generation system, and the optimal capacity configuration of the hydrogen production system. During the PI adjustment process, the fuzzy mathematics algorithm is used to calculate the power difference and the rate of change of the power difference between the predicted power value and the actual power value of the new energy power generation system to obtain the optimal PI coefficient, and the optimal capacity configuration of the new energy power generation system, the optimal capacity configuration of the waste heat power generation system, and the optimal capacity configuration of the hydrogen production system are determined according to the optimal PI coefficient.

[0020] According to a third aspect of the present disclosure, there is provided a computer-readable storage medium storing a program or instructions, which, when executed by a processor, implement the capacity configuration method of the above-mentioned coal chemical industry coupled with new energy to produce methanol system.

[0021] According to a fourth aspect of the present disclosure, there is provided a coal chemical industry coupled with new energy to produce methanol system, and the construction capacity of the coal chemical industry coupled with new energy to produce methanol system is determined by the above-mentioned capacity configuration method. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Through the following description with reference to the drawings of exemplary embodiments, the above and other objects and features of the exemplary embodiments of the present disclosure will become clearer, wherein:

[0023] Figure 1 is a schematic diagram showing a coal chemical industry coupled with new energy to produce methanol system according to an embodiment of the present disclosure;

[0024] Figure 2 is a flowchart showing the capacity configuration method according to the first embodiment of the present disclosure;

[0025] Figure 3 is a flowchart showing the capacity configuration method according to the second embodiment of the present disclosure;

[0026] Figure 4 is a flowchart showing the capacity configuration method according to the third embodiment of the present disclosure;

[0027] Figure 5 is a flowchart showing the operation control strategy according to an embodiment of the present disclosure; and

[0028] Figure 6 is a block diagram showing the capacity configuration device according to an embodiment of the present disclosure. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0029] The following detailed description is used to help obtain a comprehensive understanding of the methods, devices, and / or systems described herein. However, the order of operations described herein is merely an example and is not limited to those set forth herein. That is, equivalent substitutions or changes can be made except for operations that must occur or be performed in a specific order. In addition, for greater clarity and conciseness, the description of well-known content in the art will be omitted or simplified.

[0030] Unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains after understanding this disclosure. Unless explicitly defined herein, terms (such as those defined in a general dictionary) shall be interpreted as having a meaning consistent with their meaning in the context of the relevant art and this disclosure, and shall not be interpreted in an idealized or overly formal manner.

[0031] Unless otherwise specified, the same reference numerals generally refer to the same elements (e.g., components, steps, and methods). Reference numerals that have appeared in previous embodiments and reappear in subsequent embodiments may be omitted. Additionally, the technical features described in different or the same embodiments can be combined in any manner, as long as the combined embodiment or technical solution is complete and can solve the technical problems of this application or achieve the technical effects described or not described in this application but determinable based on the above complete technical solution.

[0032] Embodiments of the present disclosure can achieve an optimized capacity configuration for the coupling of new energy and coal chemical industry to produce methanol under high uncertainty.

[0033] Embodiments of the present disclosure make full use of the waste heat utilization scale of the coal chemical methanol preparation system and fully consider the methanol production volume and the overall benefits of the system. On the premise of considering the safety of methanol production, the strategy of using new energy to produce hydrogen and then methanol reduces the carbon emissions of the system and improves the environmental friendliness of the system.

[0034] In addition, embodiments of the present disclosure make full use of the thermal regulation capabilities of the methanol section, the regulation capabilities of the hydrogen storage and methanol storage tank sections, optimize the capacity configuration of the coupling of new energy and coal chemical industry to produce methanol, realize the environmental friendliness and reliability of the operation of the new energy-coupled coal chemical methanol production system, and solve the problems of high carbon emissions in coal chemical industry and instability in new energy production of methanol. The embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings.

[0035] Figure 1 is a schematic diagram showing a coal chemical industry-coupled new energy methanol production system according to an embodiment of the present disclosure.

[0036] The coal chemical industry-coupled new energy methanol production system according to an embodiment of the present disclosure includes a coal chemical methanol preparation system for manufacturing methanol and the systems required for its coupling with new energy, such as a new energy power generation system, a waste heat power generation system for generating electricity using the waste heat of the coal chemical methanol preparation system, and a hydrogen production system (including a hydrogen storage system), etc. As an example, the coal chemical industry-coupled new energy methanol production system according to an embodiment of the present disclosure may not include an energy storage system.

[0037] Specifically, reference may be made to Figure 1The block diagram of the methanol synthesis principle. The coal chemical methanol preparation system may include a coal slurry preparation system, a coal gasification system, a carbon monoxide conversion system (CO conversion), a low-temperature methanol wash desulfurization system, a sulfur recovery system, a syngas compression system, a methanol synthesis system, a methanol rectification system, a methanol storage tank, etc. The coal chemical methanol preparation system can produce hydrogen, carbon dioxide, etc. required for methanol synthesis. The systems required for coupling with new energy may include a new energy power generation system, a waste heat power generation system, a hydrogen production system, etc.

[0038] That is to say, the capacity configuration method according to the embodiments of the present disclosure can determine the capacity configuration of the systems required for coupling with new energy based on the scale of the coal chemical methanol preparation system, methanol production, etc. The capacity configuration of each subsystem of the coal chemical coupling new energy methanol production system can also be determined according to traditional methanol demand, green methanol demand, etc.

[0039] Refer to Figure 1 , the coal chemical coupling new energy methanol production system may include a coal slurry preparation system, a coal gasification system, a carbon monoxide conversion system (CO conversion), a low-temperature methanol wash desulfurization system, a sulfur recovery system, a syngas compression system, a waste heat utilization power generation system, a new energy power generation system (wind power system, photovoltaic system, wind-solar hybrid system, etc.), an electrolytic water hydrogen production system, a hydrogen storage system, a power grid system, a methanol synthesis system, a methanol rectification system, a methanol storage tank, a purge gas recovery system, etc.

[0040] The new energy power generation system here can be a power generation system that uses wind turbines, solar photovoltaic cells, etc. to convert renewable energy such as wind energy and solar energy into electric energy, and may include a wind power generation system, a photovoltaic power generation system, etc. The waste heat power generation system may include a thermoelectric generator that converts heat into electric energy.

[0041] It should be noted that the coal chemical coupling new energy methanol production system of the present disclosure can draw power from the power grid or supply excess power to the power grid according to the upper and lower grid limits when needed. That is to say, the coal chemical coupling new energy methanol production system of the present disclosure can be an on-grid type coal chemical coupling new energy methanol production system.

[0042] Refer to Figure 1 , the electric power provided by the new energy power generation system, the waste heat power generation system, and the power grid can be supplied to the hydrogen production system, each power-consuming system in the coal chemical methanol preparation system, etc. The hydrogen production system (for example, the electrolytic water hydrogen production system) can obtain hydrogen by electrolyzing water. The hydrogen production system may also include a hydrogen storage system required for storing hydrogen. The methanol synthesis system can use the hydrogen produced by the hydrogen production system and the hydrogen and carbon dioxide produced by the coal chemical methanol preparation system as raw materials to prepare methanol. Therefore, the methanol synthesis system can include a traditional methanol synthesis system and a green methanol synthesis system. According to the system structure and different division methods, the methanol synthesis system may include a methanol storage system.

[0043] Referring to Figure 1 , the methanol preparation process of the coal chemical industry coupling new energy methanol production system of the present disclosure is as follows: The electricity generated by the waste heat power generation system and the new energy power generation system is supplied to the hydrogen production system and the coal slurry preparation system. The electrolytic water system of the hydrogen production system generates hydrogen and stores it in the hydrogen storage system of the hydrogen production system. The hydrogen storage system supplies hydrogen to the methanol synthesis system. The coal slurry preparation system prepares coal gas, and the coal gas is successively subjected to CO conversion and low-temperature methanol washing desulfurization and then supplies carbon dioxide to the methanol synthesis system. The methanol synthesis system synthesizes crude methanol, and the crude methanol is distilled to obtain methanol products. The methanol products are stored in the methanol storage tank. The methanol products are recycled through the purge gas to obtain hydrogen, which is stored in the hydrogen storage system. In addition, heat can be generated during the preparation of coal gas, synthesis gas compression, and methanol distillation processes, and the waste heat power generation system can utilize this part of the heat to generate electric energy. Although not described in detail, the methanol preparation of the coal chemical industry coupling new energy methanol production system of the present disclosure may also include processes such as distillation separation. The embodiments of the present disclosure can realize the capacity optimization configuration of the new energy coupling coal chemical industry methanol production system.

[0044] Figure 2 is a flowchart showing a capacity configuration method according to a first embodiment of the present disclosure, Figure 3 is a flowchart showing a capacity configuration method according to a second embodiment of the present disclosure, Figure 4 is a flowchart showing a capacity configuration method according to a third embodiment of the present disclosure.

[0045] Referring to Figure 2 , the capacity configuration method according to the embodiment of the present disclosure may include step S210, step S220, step S230, and step S240.

[0046] In step S210, determine the green methanol output in the methanol prepared by the coal chemical industry coupling new energy methanol production system. As an example, the green methanol output (i.e., the planned production volume) can be determined according to the methanol demand.

[0047] Specifically, referring to Figure 3 , the step of determining the green methanol output in the methanol prepared by the coal chemical industry coupling new energy methanol production system may include step S211, step S212, and step S213.

[0048] In step S211, determine the methanol output according to the methanol demand.

[0049] The methanol demand here can be the methanol demand converted to each day based on the annual methanol demand plan, and the methanol output can be determined according to the daily methanol demand (for example, the daily methanol output).

[0050] In step S212, determine the proportion of green methanol according to the pre-determined carbon emission requirements.

[0051] In the field of coal chemical industry coupled with new energy, the proportion of green methanol can be determined in advance considering energy conservation and environmental protection. The proportion of green methanol refers to the proportion of green methanol in all the methanol produced.

[0052] In step S213, the green methanol production is determined based on the methanol production and the proportion of green methanol. Here, both the methanol production and the green methanol production can be the daily methanol production (e.g., tons / day).

[0053] As an example, the proportion of green methanol can satisfy the following formula: LJC ZB =(C PZ -C CJ ) / (C LJC -C PZ ), where LJC ZB is the proportion of green methanol, C LCJ is the carbon emission value of green methanol, C CJ is the carbon emission value of traditional methanol, and C PZ is the total methanol emission value. The carbon emission value of green methanol, the carbon emission value of traditional methanol, and the total methanol emission value can all be determined in advance. The green methanol production can be the product of the methanol production and the proportion of green methanol.

[0054] In step S220, based on the green methanol production and the production data of the coal chemical methanol preparation system, the preliminary capacity configuration of the new energy power generation system, the waste heat power generation system, and the hydrogen production system, as well as the operation control strategy of the coal chemical industry coupled with new energy to produce methanol system, are determined.

[0055] The production data of the coal chemical methanol preparation system can include various data information in each subsystem, such as resource data, the adjustment range of the methanol synthesis system, and the adjustment range of the methanol storage tank system.

[0056] Referring to Figure 4 , the steps of determining the preliminary capacity configuration of the new energy power generation system, the waste heat power generation system, and the hydrogen production system, as well as the operation control strategy of the coal chemical industry coupled with new energy to produce methanol system, based on the green methanol production and the production data of the coal chemical methanol preparation system, can include step S221, step S222, and step S223.

[0057] In step S221, the initial capacity configuration of the waste heat power generation system is determined based on the production data of the coal chemical methanol preparation system.

[0058] The production and operation data of the coal chemical methanol preparation system may include the production data of the coal chemical methanol preparation system (e.g., the daily output of traditional methanol, etc.) and the production data of each subsystem in the coal chemical methanol preparation system (e.g., the power consumption, output power, etc. of each subsystem). The scale of waste heat utilization can be determined based on the above data of the coal chemical methanol preparation system (for determining the power generation capacity of the waste heat power generation system, and accordingly, the initial capacity configuration of the waste heat power generation system can be determined (e.g., the power generation power or output power), the methanol production curve, etc.).

[0059] In step S222, the initial capacity configuration of the new energy power generation system is determined according to the wind resources at the location of the coal chemical coupled with new energy to produce methanol system and the annual grid connection power limit of the coal chemical coupled with new energy to produce methanol system.

[0060] Based on the wind resources at the location of the coal chemical coupled with new energy to produce methanol system, the wind resources can be measured at this location in advance. For example, the measurement can be carried out at this location for half a year to measure the number of hours when the wind speed exceeds the preset threshold. As an example, it can also be estimated based on the historically recorded wind speed data.

[0061] Here, the initial capacity configuration of the new energy power generation system can be the initial capacity information or initial construction capacity of each subsystem of the new energy power generation system. The initial capacity information or initial construction capacity of each subsystem can include the initial rated output power of the new energy power generation system. For example, the initial rated output power of the photovoltaic power generation system, the initial rated output power of the wind power generation system. The initial capacity information of the hydrogen production system can include the initial maximum power of the hydrogen production system, etc. As mentioned above, for the convenience of calculation, the relevant capacity configuration or capacity information is converted into power information (e.g., converting the number of electrolyzers of the hydrogen production system into power).

[0062] In step S223, the initial capacity configuration of the hydrogen production system is determined based on the initial capacity configuration of the waste heat power generation system and the initial capacity configuration of the new energy power generation system.

[0063] In the present disclosure, the electric energy of the coal chemical coupled with new energy to produce methanol system mainly comes from the new energy power generation system and the waste heat power generation system. The initial capacity configuration of the hydrogen production system can be determined based on the waste heat power generation system and the new energy power generation system. The initial capacity configuration does not need to be accurately determined and can be adjusted according to the economy of the whole system later. The initial capacity configuration of the hydrogen production system can include the initial maximum power of the hydrogen production system, the gas storage tank capacity of the hydrogen production system, etc.

[0064] According to the green methanol production and the production data of the coal chemical methanol preparation system, the operation control strategy of the coal chemical coupled with new energy methanol production system can also be determined. Here, the operation control strategy is the production simulation operation control strategy, that is, each subsystem prepared by the coal chemical coupled with new energy methanol production system is built with the initial capacity configuration, and under the determined operation control strategy (energy control strategy), the production data of methanol is obtained to provide a basis for further optimization of the capacity configuration.

[0065] In step S230, the coal chemical coupled with new energy methanol production system is simulated to operate with the operation control strategy, and a capacity configuration model is established with the overall benefit of the simulated coal chemical coupled with new energy methanol production system being the highest as the objective function. Here, the overall benefit can comprehensively consider system carbon emissions, energy utilization rate, etc.

[0066] In addition, when calculating or solving the capacity configuration model, the objective function needs to meet certain constraint conditions:

[0067] For the new energy power generation system, calculating the power generation power of the new energy power generation system based on wind speed data and solar irradiance can be calculated by the following formulas (1), (2), (3), and (4):

[0068]

[0069]

[0070]

[0071]

[0072] S pv is the predicted value of solar irradiance, with the unit of W / ㎡; S r is the rated value of solar irradiance, with the unit of W / ㎡; α PV is the power temperature coefficient of the photovoltaic power generation system; T PV is the actual working temperature of the photovoltaic power generation system, with the unit of ℃; T r is the rated working temperature of the photovoltaic power generation system, with the unit of ℃; ν pv is the predicted speed of the wind turbine of the wind power generation system, m / s; is the cut-off speed of the wind turbine of the wind power generation system, m / s; is the cut-in speed of the wind turbine of the wind power generation system, m / s; ν r is the rated speed of the wind turbine of the wind power generation system, m / s; is the output power of the photovoltaic power generation system, with the unit of kW; P PV-max is the rated output power of the photovoltaic power generation system, with the unit of kW; is the output power of the wind power generation system, with the unit of kW; is the rated output power of the wind power generation system, with the unit of kW; is the power generation of the clean energy power generation station, with the unit of kW; T is the time period divided into 8760 in a year; E Energy is the total power generation of the new energy power station (including wind power and photovoltaic), with the unit of kWh. η PV is the power generation efficiency of the photovoltaic power generation system. The above model of the new energy power generation system is only an example, and the specific model can vary according to the type of the new energy power generation system, etc. The power generation of the new energy power generation system under the initial capacity configuration and the power generation of the new energy power generation system under the adjusted capacity configuration can both be calculated in the above manner.

[0073] The power generation (or adjustment range) of the waste heat power generation system can satisfy Equation (5):

[0074] P yr.min ≤P yr (t)≤P yr.max , (5)

[0075] Among them, P yr.min is the lower limit of the power generation of the waste heat power generation system, and P yr.max is the upper limit of the power generation of the waste heat power generation system. The power generation of the waste heat power generation system can be between the upper and lower limits of the power generation of the waste heat power generation system. Both the upper and lower limits of the power generation of the waste heat power generation system can be determined in advance according to the capacity configuration of each system of the coal chemical methanol preparation system.

[0076] The output power range (i.e., the adjustment range) of the hydrogen production system (electrolytic water hydrogen production system) can satisfy Equation (6):

[0077] P djs.min ≤P djs (t)≤P djs.max , (6)

[0078] Among them, P djs.min is the lower limit of the power of the hydrogen production system, and P djs.max is the upper limit of the power of the hydrogen production system.

[0079] The adjustment range of the green methanol synthesis system can satisfy Equation (7):

[0080] P Ljc.min ≤P Ljc (t)≤P Ljc.max , (7)

[0081] Among them, P Ljc.min is the lower adjustment limit of the green methanol synthesis system, and P Ljc.maxis the upper adjustment limit of the methanol synthesis system. As described above, for the convenience of calculation and illustration, the adjustment range of each system is based on power. For example, the daily hydrogen production (t) of the hydrogen production system is converted into the daily power consumption. Although the specific calculation method is not given, the green methanol synthesis system, hydrogen storage system, etc. can be converted in a similar way, and their adjustment ranges are set between the upper and lower power limits.

[0082] In addition, the maximum acceptable proportion range of the exchanged electricity in the area can satisfy Equation (8):

[0083] P jhdl.xw ≤P jhdl (t)≤P jhdl.sw , (8)

[0084] where P jhdl.xw is the lower grid power limit in the exchanged electricity, and P jhdl.sw is the upper grid power limit in the exchanged electricity.

[0085] The electricity demand range for methanol production from coal chemical industry can satisfy Equation (9):

[0086] P mzjc.min ≤P mzjc (t)≤P mzjc.max , (9)

[0087] where P mzjc.min is the lower limit of the electricity demand for methanol production from coal chemical industry, and P mzjc.max is the upper limit of the electricity demand for methanol production from coal chemical industry.

[0088] In addition, the objective function can also be constrained by the sum of the output power of the waste heat power generation system, the output power of the new energy power generation system, and a pre-determined upper limit value of the lower grid power being greater than the power demands of the hydrogen production system and the coal chemical methanol preparation system.

[0089] The methanol demand can be determined according to the annual methanol production to be supplied. For example, it is determined according to the annual methanol supply quantity required by the methanol supply agreement signed with the methanol demand side. The annual methanol production capacity constraint condition is satisfied: S jc ≥XQ jc.min , where S jc is the total annual methanol supply quantity, and XQ jc.min is the minimum demand for methanol synthesis.

[0090] The daily methanol production curve compiled according to the annual methanol supply quantity combined with the methanol price curve is the methanol production. The green methanol production demand curve (green methanol production) is the product of the methanol production demand curve (methanol production) and the proportion of green methanol.

[0091] The hydrogen demand curve is the daily hydrogen supply demand curve determined according to the daily demand curve of green methanol production. The correspondence between green methanol and hydrogen satisfies P qgj (t) = P ljcgj (t) / k ljc-q , where P qgj (t) is the hydrogen supply demand, P ljcgj (t) is the green methanol production demand, and k ljc-q is the conversion coefficient of green methanol and hydrogen production.

[0092] In step S240, the capacity configuration model is calculated and solved with the preliminary capacity configuration as the initial value to obtain the optimal capacity configuration of the coal chemical industry coupled with new energy methanol production system.

[0093] The steps of calculating and solving the capacity configuration model with the preliminary capacity configuration as the initial value to obtain the optimal capacity configuration of the coal chemical industry coupled with new energy methanol production system may include: using the fuzzy adaptive algorithm to iteratively solve the capacity configuration model with the preliminary capacity configuration as the initial value to obtain the optimal capacity configuration of the coal chemical industry coupled with new energy methanol production system.

[0094] Here, the optimal capacity configuration of the new energy power generation system includes the rated output power of the new energy power generation system, the optimal capacity configuration of the waste heat power generation system includes the maximum output power of the waste heat power generation system, and the optimal capacity configuration of the hydrogen production system includes the maximum power of the hydrogen production system.

[0095] The safety and economic boundaries of the coal chemical industry coupled with new energy methanol production system conflict with each other. And due to the inaccuracy of new energy prediction, if safety is improved, a margin needs to be increased (increase the capacity configuration of the corresponding system), thus reducing economy. If economy is improved, the safety margin will be reduced to a certain extent (reduce the capacity configuration of the corresponding system).

[0096] According to the embodiments of the present disclosure, when solving the capacity configuration model, a fuzzy algorithm (for example, fuzzy PID algorithm) can be selected. After considering the fluctuations of the new energy power generation system, optimization is carried out within the fluctuation range, converting the original multi-objective optimization problem into a single-objective optimization problem, so as to more easily obtain a better capacity ratio.

[0097] Specifically, the steps of using the fuzzy adaptive algorithm to iteratively solve the capacity configuration model with the preliminary capacity configuration as the initial value to obtain the optimal capacity configuration of the coal chemical industry coupled with new energy to produce methanol system include: performing PI regulation on the initial capacity configuration to obtain the optimal capacity configuration of the new energy power generation system, the optimal capacity configuration of the waste heat power generation system, and the optimal capacity configuration of the hydrogen production system. Among them, during the PI regulation process, the fuzzy mathematics algorithm is used to calculate the power difference and the power difference change rate between the predicted power value and the actual power value of the new energy power generation system to obtain the optimal PI coefficient, and the optimal capacity configuration of the new energy power generation system, the optimal capacity configuration of the waste heat power generation system, and the optimal capacity configuration of the hydrogen production system are determined according to the optimal PI coefficient.

[0098] According to an embodiment of the present disclosure, the uncertain quantity mainly calculated by the fuzzy algorithm is the power generation amount of the new energy power generation system. In the fuzzy mathematics inference system, there are two input variables and one output variable. Assuming that the measurement vector is two-dimensional (for example, the new energy power generation system includes a photovoltaic power generation system and a wind power generation system), the input variables are the error value P′ W (k) of the wind (light) power and the change rate of the wind (light) power error (ΔP′ 1W and ΔP′ 2W ).

[0099] The error value of the wind (light) power

[0100]

[0101]

[0102]

[0103]

[0104] Among them, y 1 (k), y 2 (k) and are respectively the measured value of the power generation of the wind power generation system, the predicted value of the power generation of the wind power generation system, the power measurement value of the photovoltaic power generation system, and the power prediction value of the photovoltaic power generation system. P′ 1W 、P′ 2W 、ΔP′ 1W 、ΔP′ 2w are the measured values and the measured value change rates of each component, and the value range is [-1, 1]. P 1W (k) is the power generation of the wind power generation system at time k, and P 2W (k) is the power generation of the photovoltaic power generation system at time k. P′ 1W 、ΔP′1W , P' 2W , ΔP' 2W The fuzzy sets of are LP, MP, SP, and ZE, which are large value, medium value, small value, and zero value respectively. The membership function is calculated using the trapezoidal function. However, the calculation method of the membership function is not limited to this. The output variable is the proportional coefficient of [0, 1] (i.e., obtaining the optimal PI coefficient). By adjusting the proportional coefficient, the positive and negative accelerations are adjusted. That is to say, the fuzzy PID algorithm of the present disclosure can adaptively adjust the system parameters of the "current" model using the measured new value and the change rate of the measured new value, the maximum maneuvering acceleration α max and the maximum maneuvering acceleration α -max so as to indirectly achieve the purpose of real-time adjusting the system variance.

[0105] The membership function of the output variable can be calculated using the triangular function. However, this is only an example, and the calculation method of the membership function is not limited to this. The fuzzy sets of the output variable include EP, VP, LP, MP, SP, and ZE, which are maximum value, particularly large value, large value, medium value, small value, and zero value respectively.

[0106] By adjusting the positive and negative accelerations, the adjustment accuracy and response speed are adjusted. The following fuzzy relation table is obtained:

[0107] <![CDATA[ΔP′ 1W > ZE SP MP LP <![CDATA[P′ 1W > ZE VP SP EP EP SP LP LP VP VP MP EP VP MP MP LP VP ZE MP EP

[0108] After determining the fuzzy relation table, through PI tracking, the optimal capacity configuration of the new energy power generation system, the optimal capacity configuration of the waste heat power generation system, and the optimal capacity configuration of the hydrogen production system are calculated.

[0109] The objective function (overall benefit) in the capacity configuration model as described above can be determined according to the following formulas (15), (16), (17), (18), (19), and (20).

[0110] Taking hours as the scheduling period and aiming at the maximum comprehensive benefit in the whole life cycle, the calculation formula is as follows:

[0111] S = max(S YY + S CZ + S CP - S CT - S YW ) (15)

[0112] Among them, S YY is the system operation income, S CZ is the system residual value income, S CP is the carbon emission income, S CT is the initial investment, S YW is the operation and maintenance expenditure.

[0113] The initial investment calculation method is as follows:

[0114]

[0115] Among them, S i.CT is the initial investment of 15 parts including the coal slurry preparation system, coal gasification system, carbon monoxide conversion system (CO conversion), low-temperature methanol wash desulfurization system, sulfur recovery system, syngas compression system, waste heat utilization power generation system, new energy power generation system (wind power system, photovoltaic system, wind-solar hybrid system, etc.), electrolyzed water hydrogen production system, hydrogen storage system, power grid system, methanol synthesis system, methanol rectification system, methanol storage tank, and purge gas recovery system. k is the discount rate, and n is the number of operating hours of the system.

[0116] The operation and maintenance costs need to consider expenses such as materials, operation, and labor. The operation and maintenance cost calculation is as follows:

[0117]

[0118] Among them, YW i is the operation and maintenance costs of 15 parts including the coal slurry preparation system, coal gasification system, carbon monoxide conversion system (CO conversion), low-temperature methanol wash desulfurization system, sulfur recovery system, syngas compression system, waste heat utilization power generation system, new energy power generation system (wind power system, photovoltaic system, wind-solar hybrid system, etc.), electrolyzed water hydrogen production system, hydrogen storage system, power grid system, methanol synthesis system, methanol rectification system, methanol storage tank, and purge gas recovery system.

[0119] (4) The operating income considers the income from selling and purchasing electricity, hydrogen, and methanol, as well as the capacity fee generated from interacting with the power grid. The calculation formula is:

[0120]

[0121] Among them, S i.jz is the sales income of electricity, hydrogen, and methanol, S i.cz is the purchase cost of electricity, hydrogen, and carbon dioxide, S tj is the cost generated from connecting to the grid, S br is the standby capacity cost generated from disconnecting from the grid.

[0122] (5) The salvage value income is the salvage value generated by the system. The calculation method is:

[0123]

[0124] Among them, S i.CzThe residual value of 15 parts including the coal slurry preparation system, coal gasification system, carbon monoxide conversion system (CO conversion), low-temperature methanol washing desulfurization system, sulfur recovery system, syngas compression system, waste heat utilization power generation system, new energy power generation system (wind power system, photovoltaic system, wind-solar complementary system, etc.), electrolyzed water hydrogen production system, hydrogen storage system, power grid system, methanol synthesis system, methanol rectification system, methanol storage tank, and purge gas recovery system.

[0125] (6) The carbon emission income is the carbon emission income generated by green methanol and green hydrogen, and the calculation method is:

[0126] S CP =S CP.ljc +S CP.lq (20)

[0127] Among them, S CP.ljc is the carbon emission income obtained from green methanol, and S CP.lq is the carbon emission income generated by green hydrogen. Thus, the overall benefit (i.e., operation input + residual value income + carbon emission income - initial investment - operation and maintenance cost) can be determined according to the above formulas (15) to (20).

[0128] It should be noted that the above calculation method of the overall benefit is only an example, and the calculation method of the overall benefit can be variously changed or simplified under the consideration of different influencing factors.

[0129] During the simulation operation, reasonable operation control strategies (energy control strategies) can be adopted to control each subsystem of the coal chemical coupling new energy methanol production system to obtain the maximum benefit while ensuring safety.

[0130] As an example, the operation control strategy may include: in response to the power generation power of the new energy power generation system under its initial capacity configuration being greater than the power upper limit value of the hydrogen production system under its initial capacity configuration, controlling the hydrogen production system to operate at the power upper limit;

[0131] In response to the power generation power of the new energy power generation system under its initial capacity configuration being less than or equal to the power upper limit value of the hydrogen production system under its initial capacity configuration and the power generation power of the new energy power generation system under its initial capacity configuration being greater than or equal to the power lower limit value of the hydrogen production system under its initial capacity configuration, controlling the hydrogen production system to operate at the power generation power of the new energy power generation system under its initial capacity configuration.

[0132] In response to the power generation power of the new energy power generation system under its initial capacity configuration being greater than the upper power limit value of the hydrogen production system under its initial capacity configuration and the power difference between the power generation power of the new energy power generation system under its initial capacity configuration and the upper power limit value of the hydrogen production system under its initial capacity configuration being greater than the upper power limit value of the coal chemical methanol production system, control the methanol production system to operate at the upper power limit value.

[0133] In response to the power generation power of the new energy power generation system under its initial capacity configuration being greater than the upper power limit value of the hydrogen production system under its initial capacity configuration, the power difference between the power generation power of the new energy power generation system under its initial capacity configuration and the upper power limit value of the hydrogen production system under its initial capacity configuration being less than or equal to the upper power limit value of the coal chemical methanol production system and greater than or equal to the lower power limit value of the coal chemical methanol production system, control the coal chemical methanol production system to operate at the power difference.

[0134] According to an embodiment of the present disclosure, in the case of the intermediate capacity configuration obtained during the iterative solution process, the relevant subsystems can also be controlled to operate in a similar manner. The following will be combined with Figure 5 Describe this in detail.

[0135] Figure 5 It is a flowchart showing the operation control strategy according to an embodiment of the present disclosure.

[0136] The operation control strategy according to an embodiment of the present disclosure may include step S510, step S520, step S530, step S540, step S550, step S560, step S570, step S580, step S581, step S582, step S583, step S584, step S585, step S586, step S587, step S588, step S589, step S590, step S591, step S592, step S593, step S594, and step S595. In addition, the operation control strategy according to an embodiment of the present disclosure may further include obtaining the upper limit power P of the hydrogen production system zqxq.max and the lower limit power P zqxq.min , the power generation power P of the new energy power generation system xny (t), etc.

[0137] As described above, the production data of green methanol and traditional methanol can be determined according to the methanol production demand (from which the corresponding production volume can be determined), the power generation power of the waste heat power generation system can be determined based on the production data of traditional methanol, and the power generation power P of the new energy power generation system can be calculated using data such as wind speed and sunlight xny (t).

[0138] Specifically, in step S510, it is judged whether the power generation power of the new energy power generation system is greater than the upper limit power of the hydrogen production system (P xny(t) > P zqxq.max ?)。

[0139] In response to the power generation power of the new energy power generation system being greater than the upper limit power of the hydrogen production system, in step S520, it is judged whether the remaining power P syl (t) is greater than the upper limit of the power demand of the coal chemical methanol preparation system P mhg.max (i.e., P syl (t) > P mhg.max ?). Wherein, P syl (t) = P xny (t) - P zqxq.max 。

[0140] If the remaining power P syl (t) is greater than the upper limit of the power demand of the coal chemical methanol preparation system P mhg.max , then in step S530, the relevant systems are controlled according to the following power.

[0141] P mhg (t) = P mhg.max

[0142] P syl (t) = P xny (t) - P zqxq.max

[0143] P sw (t) = P syl (t) - P mhg.max

[0144] P zq (t) = P zqxq.max

[0145] Wherein, P zq (t) is the power of the hydrogen production system, and P sw (t) is the power of the electricity fed into the grid.

[0146] If the remaining power P syl (t) is not greater than the upper limit of the power demand of the coal chemical methanol preparation system P mhg.max , then in step S540, the relevant systems are controlled according to the following power:

[0147] P mhg (t) = P syl (t)

[0148] P syl (t) = P xny (t) - P zqxq.max

[0149] P zq (t) = P zqxq.max

[0150] In step S550, it is further determined whether the power generation power of the new energy power generation system is less than or equal to the upper limit power of the hydrogen production system and greater than the lower limit power of the hydrogen production system (i.e., P zqxq.min ≤P xny (t)≤P zqxq.max ). If the power generation power of the new energy power generation system is less than or equal to the upper limit power of the hydrogen production system and greater than the lower limit power of the hydrogen production system, then in step S560, the relevant systems are controlled according to the following power:

[0151] P sw (t) = 0

[0152] P zq (t) = P xny (t)

[0153] If the power generation power of the new energy power generation system is less than the lower limit power of the hydrogen production system, then in step S570, it is further determined whether the sum of the power generation power P yr (t) of the waste heat power generation system and P xny (t) of the new energy power generation system is less than the lower limit power of the hydrogen production capacity (P yr (t) + P xny (t) < P zqxq.min ?).

[0154] If the sum of the power generation power P yr (t) of the waste heat power generation system and P xny (t) of the new energy power generation system is less than the lower limit power of the hydrogen production capacity, then in step S580, the relevant systems are controlled according to the following power:

[0155] P sw (t) = P xny (t)

[0156] P zq (t) = 0

[0157] If the sum of the power generation power P yr (t) of the waste heat power generation system and P xny (t) of the new energy power generation system is not less than the lower limit power of the hydrogen production capacity, then in step S581, the relevant systems are controlled according to the following power: P zq (t) = P yr (t) + P xny (t), in step S582, the relevant systems are controlled according to the following power: P swz (t) = P swz (t - 1) + P sw (t), where P swz (t), P swz(t - 1) are the cumulative grid-connected power at the current moment and the previous moment respectively.

[0158] In step S583, it is judged whether the cumulative grid-connected power P swz (t) at the current moment is greater than the upper limit value P jhdl.sw of the grid-connected power. (That is, P swz (t) > P jhdl.sw ?)

[0159] If the cumulative grid-connected power P swz (t) at the current moment is not greater than the upper limit value P jhdl.sw of the grid-connected power, then in step S585, the relevant system controls according to the following power:

[0160] P sw (t) = P swz (t)

[0161] If the cumulative grid-connected power P swz (t) at the current moment is greater than the upper limit value P jhdl.sw of the grid-connected power, then in step S584, power curtailment is required, and the relevant system controls according to the following power:

[0162] P qdl (t) = max(P swz (t) - P jhdl.sw , 0)

[0163] Among them, P qdl (t) is the power curtailment amount at the current moment.

[0164] In step S586, it is judged whether the hydrogen demand q xq (t) is greater than the hydrogen supply capacity q gy (t) (that is, q xq (t) > q gy (t)?).

[0165] If q gy (t) > q xq (t), in step S587, it is judged whether the hydrogen storage amount q cq (t) in the hydrogen storage system is greater than the hydrogen balance q ce (t) (that is, q cq (t) > q ce (t)?). If it is greater, then in step S588, the hydrogen storage system is controlled in the following manner:

[0166] q ce (t) = q xq (t) - q gy (t)

[0167] qcq (t + 1)= q cq (t)- q ce (t)

[0168] If q cq (t)≤ q ce (t), in step S589, the hydrogen storage system is controlled as follows:

[0169] q qs (t)= q ce (t)- q cq (t)

[0170] q cq (t)= 0

[0171] Where q qs (t) is the recorded default value, that is, all hydrogen cannot meet the hydrogen demand, and the default value of hydrogen is recorded.

[0172] If q xq (t)≤ q gy (t), then in step S590, the hydrogen storage system is controlled as follows:

[0173] q cq (t)= q gy (t)- q xq (t).

[0174] In step S591, further determine whether the methanol demand C xq (t) is greater than the methanol production capacity C gy (t), (that is, C xq (t)> C gy (t)?).

[0175] If C xq (t)> C gy (t), then in step S592, further determine whether the methanol storage amount C cq (t) is greater than the methanol difference C ce (t) (that is, C cq (t)> C ce (t)?), where the methanol difference is the difference between the methanol demand and the methanol production capacity.

[0176] If C cq (t)> C ce (t), then in step S593, the methanol synthesis system and the methanol storage system are controlled as follows:

[0177] c ce (t)= c xq (t)- c gy(t)

[0178] c cq (t + 1)= c cq (t)- c ce (t)

[0179] If C cq (t)≤ C ce (t), then in step S594, the methanol synthesis system and the methanol storage system are controlled as follows:

[0180] c qs (t)= c ce (t)- c cq (t)

[0181] c cq (t)= 0

[0182] If C xq (t)≤ C gy (t), then in step S595, the methanol synthesis system and the methanol storage system are controlled as follows:

[0183] c cq (t)= c gy (t)- c xq (t)

[0184] As an example, the operation control strategy according to the embodiments of the present disclosure may omit or simplify at least one of the above steps.

[0185] Figure 6 is a block diagram showing a capacity configuration device according to an embodiment of the present disclosure.

[0186] Referring to Figure 6 , the capacity configuration device 600 according to an embodiment of the present disclosure may include a first determination unit 610, a second determination unit 620, a modeling unit 630, and a solving unit 640.

[0187] The first determination unit 610 may determine the green methanol output in the methanol prepared by the coal chemical industry coupled with new energy methanol production system.

[0188] For example, the methanol output (including traditional methanol output and green methanol output) may be determined according to the methanol demand.

[0189] The second determination unit 620 may determine the preliminary capacity configuration of the new energy power generation system, the waste heat power generation system, and the hydrogen production system, and the operation control strategy of the coal chemical industry coupled with new energy methanol production system according to the green methanol output and the production data of the coal chemical methanol production system.

[0190] The modeling unit 630 can run a control strategy to simulate the operation of the coal chemical industry coupled with a new energy methanol production system and establish a capacity configuration model with the overall benefit maximization of the simulated coal chemical industry coupled with a new energy methanol production system as the objective function.

[0191] The solving unit 640 can calculate and solve the capacity configuration model with the preliminary capacity configuration as the initial value to obtain the optimal capacity configuration of the coal chemical industry coupled with a new energy methanol production system.

[0192] As shown above, the fuzzy PID algorithm can be used to determine the optimal capacity configuration of the coal chemical industry coupled with a new energy methanol production system. The solving unit can perform PI regulation on the initial capacity configuration to obtain the optimal capacity configuration of the new energy power generation system, the optimal capacity configuration of the waste heat power generation system, and the optimal capacity configuration of the hydrogen production system. Among them, during the PI regulation process, the fuzzy mathematics algorithm is used to calculate the power difference and the rate of change of the power difference between the predicted power value and the actual power value of the new energy power generation system to obtain the optimal PI coefficient, and the optimal capacity configuration of the new energy power generation system, the optimal capacity configuration of the waste heat power generation system, and the optimal capacity configuration of the hydrogen production system are determined according to the optimal PI coefficient.

[0193] Specifically, the solving unit 640 can execute the solving step S240. In addition to step S240, the solving unit 640 can also execute at least one of the above steps, which will not be elaborated here.

[0194] It should be understood that the above has been referred to Figures 1 to 6 The control methods and devices and the like according to the embodiments of the present disclosure have been described. However, it should be understood that the devices and each unit of the devices shown in the drawings can be respectively configured as software, hardware, firmware, or any combination of the above items that perform specific functions. For example, these systems and devices can correspond to application-specific integrated circuits, or pure software codes, or modules combining software and hardware. In addition, one or more functions implemented by these systems or devices can also be uniformly executed by components in a physical entity device (such as a processor, a client, or a server, etc.).

[0195] The instructions stored in the above computer-readable storage medium can run in an environment deployed in computer devices such as clients, hosts, proxy devices, servers, etc. It should be noted that the instructions can also be used to execute additional steps other than the above steps or perform more specific processing when executing the above steps. The content of these additional steps and further processing has been mentioned in the description of the related devices and methods with reference to Figures 1 to 5 Therefore, in order to avoid repetition, it will not be elaborated here.

[0196] It should be noted that the capacity configuration method and device according to the embodiments of the present disclosure can fully rely on the operation of computer programs or instructions to implement corresponding functions, that is, each device corresponds to each step in the functional architecture of the computer program, so that the entire system is called through a dedicated software package (for example, lib library) to implement corresponding functions.

[0197] On the other hand, when Figure 6 the device shown is implemented in software, firmware, middleware or microcode, the program code or code segment for performing corresponding operations can be stored in a computer-readable medium such as a storage medium, so that at least one processor or at least one computing device can execute corresponding operations by reading and running the corresponding program code or code segment. Additionally, when the computer-readable medium or storage medium is executed by the processor, the processor is prompted to execute the above-mentioned capacity configuration method.

[0198] For example, according to an exemplary embodiment of the present disclosure, a computer device including a readable medium storing computer program instructions may be provided, wherein when the instructions are run by at least one computing device, at least one computing device is prompted to execute at least one of the above steps.

[0199] According to an embodiment of the present disclosure, a computer-readable storage medium stores a program or instructions, and when the program or instructions are executed by a processor, the capacity configuration method of the above-mentioned coal chemical industry coupled with new energy to produce methanol system is implemented.

[0200] The capacity configuration or construction capacity of the coal chemical industry coupled with new energy to produce methanol system according to the embodiment of the present disclosure is determined by the above-mentioned capacity configuration method.

[0201] In addition, the capacity configuration method and device according to the embodiments of the present disclosure can realize the optimal configuration of the coal chemical industry coupled with new energy to produce methanol system.

[0202] The capacity configuration method and device according to the embodiments of the present disclosure can, on the premise of considering the safety of methanol production, use new energy to produce hydrogen and then produce methanol strategies to reduce the carbon emissions of the system.

[0203] In addition, the capacity configuration method and device according to the embodiments of the present disclosure simultaneously consider making full use of the system regulation ability, making full use of the thermal regulation ability of the methanol link, etc., optimize the configuration mode of new energy coupled with coal chemical industry to produce methanol, realize the benefits, environmental protection and reliability of the operation of the new energy coupled with coal chemical industry to produce methanol system, solve the problems of high carbon emissions in coal chemical industry and unstable production of new energy to produce methanol, and realize the capacity optimization configuration of new energy coupled with coal chemical industry to produce methanol under high uncertainty.

[0204] Although some exemplary embodiments of the present disclosure have been shown and described, those skilled in the art should understand that these embodiments can be modified without departing from the principles and spirit of the present disclosure as defined by the claims and their equivalents. For example, the technical features of different embodiments can be combined.

Claims

1. A capacity configuration method for a coal chemical industry coupled with a new energy methanol production system, characterized in that: The coal chemical industry coupled with new energy methanol production system comprises a coal chemical methanol preparation system for producing methanol, a new energy power generation system, a waste heat power generation system for generating electricity using waste heat from the coal chemical methanol preparation system, and a hydrogen production system. The capacity configuration method comprises: Determine the green methanol output in the methanol produced by the coal chemical industry coupled with new energy methanol production system; According to the green methanol output and the production and operation data of the coal chemical methanol preparation system, determine the preliminary capacity configuration of the new energy power generation system, the waste heat power generation system and the hydrogen production system, and the operation control strategy of the coal chemical coupled new energy methanol production system; The coal chemical industry coupled with new energy to produce methanol system is simulated to operate by using the operation control strategy and a capacity configuration model is established with the overall benefit of the simulated operation of the coal chemical industry coupled with new energy to produce methanol system being maximized as the objective function; The capacity configuration model is calculated and solved with the preliminary capacity configuration as an initial value to obtain the optimal capacity configuration of the coal chemical industry coupled with new energy methanol production system.

2. The capacity configuration method of the coal chemical industry coupled with new energy methanol production system according to claim 1 is characterized in that: The step of calculating and solving the capacity configuration model with the preliminary capacity configuration as the initial value to obtain the optimal capacity configuration of the coal chemical industry coupled with new energy methanol production system includes: using a fuzzy adaptive algorithm to iteratively solve the capacity configuration model with the preliminary capacity configuration as the initial value to obtain the optimal capacity configuration of the coal chemical industry coupled with new energy methanol production system.

3. The capacity configuration method of the coal chemical industry coupled with new energy methanol production system according to claim 2 is characterized in that: The step of iteratively solving the capacity configuration model with the preliminary capacity configuration as the initial value by using a fuzzy adaptive algorithm to obtain the optimal capacity configuration of the coal chemical industry coupled with new energy methanol production system includes: performing PI adjustment on the initial capacity configuration to obtain the optimal capacity configuration of the new energy power generation system, the optimal capacity configuration of the waste heat power generation system and the optimal capacity configuration of the hydrogen production system, wherein, in the process of the PI adjustment, a fuzzy mathematical algorithm is used to calculate the power difference between the predicted power value and the actual power value of the new energy power generation system and the rate of change of the power difference to obtain the optimal PI coefficient, and the optimal capacity configuration of the new energy power generation system, the optimal capacity configuration of the waste heat power generation system and the optimal capacity configuration of the hydrogen production system are determined according to the optimal PI coefficient.

4. The capacity configuration method of the coal chemical industry coupled with new energy methanol production system according to claim 3 is characterized in that: The optimal capacity configuration of the new energy power generation system includes the rated output power of the new energy power generation system, the optimal capacity configuration of the waste heat power generation system includes the maximum output power of the waste heat power generation system, and the optimal capacity configuration of the hydrogen production system includes the maximum power of the hydrogen production system.

5. The capacity configuration method of the coal chemical industry coupled with new energy methanol production system according to claim 1 is characterized in that: The steps of determining the preliminary capacity configuration of the new energy power generation system, the waste heat power generation system and the hydrogen production system according to the green methanol output and the production and operation data of the coal chemical methanol preparation system include: Determining the initial capacity configuration of the waste heat power generation system based on the production and operation data of the coal chemical methanol preparation system; Determine the initial capacity configuration of the new energy power generation system according to the wind resources at the location of the coal chemical industry coupled with new energy methanol production system and the annual grid-connected power limit of the coal chemical industry coupled with new energy methanol production system; The initial capacity configuration of the hydrogen production system is determined based on the initial capacity configuration of the waste heat power generation system and the initial capacity configuration of the new energy power generation system.

6. The capacity configuration method of the coal chemical industry coupled with new energy methanol production system according to claim 1 is characterized in that: The step of determining the green methanol output in the methanol produced by the coal chemical industry coupled with new energy methanol production system comprises: Determine methanol production based on methanol demand and historical methanol sales curve; Determine the proportion of green methanol based on predetermined carbon emission requirements; The production plan of green methanol is determined based on the methanol output and the proportion of green methanol.

7. The capacity configuration method of the coal chemical industry coupled with new energy methanol production system according to claim 1 is characterized in that: The objective function is constrained by the sum of the output power of the waste heat power generation system, the output power of the new energy power generation system and a predetermined upper limit of the off-grid power being greater than the power requirements of both the hydrogen production system and the coal chemical methanol preparation system.

8. The capacity configuration method of a coal chemical industry coupled with a new energy methanol production system according to any one of claims 1 to 7, characterized in that: The coal chemical industry coupled with new energy to produce methanol system is a grid-based coal chemical industry coupled with new energy to produce methanol system.

9. The capacity configuration method of a coal chemical industry coupled with a new energy methanol production system according to any one of claims 1 to 7, characterized in that: The operation control strategy includes: In response to the power generated by the new energy power generation system at its initial capacity configuration being greater than the power upper limit value of the hydrogen production system at its initial capacity configuration, controlling the hydrogen production system to operate at the power upper limit; In response to the fact that the power generation power of the new energy power generation system at its initial capacity configuration is less than or equal to the upper power limit value of the hydrogen production system at its initial capacity configuration and the power generation power of the new energy power generation system at its initial capacity configuration is greater than or equal to the lower power limit value of the hydrogen production system at its initial capacity configuration, the hydrogen production system is controlled to operate with the power generation power of the new energy power generation system at its initial capacity configuration.

10. The capacity configuration method of the coal chemical industry coupled with new energy methanol production system according to claim 9, characterized in that: The operation control strategy also includes: In response to the fact that the power generation power of the new energy power generation system at its initial capacity configuration is greater than the power upper limit value of the hydrogen production system at its initial capacity configuration and the power difference between the power generation power of the new energy power generation system at its initial capacity configuration and the power upper limit value of the hydrogen production system at its initial capacity configuration is greater than the power upper limit value of the coal chemical methanol production system, controlling the coal chemical methanol production system to operate at the power upper limit value; In response to the fact that the power generation power of the new energy power generation system at its initial capacity configuration is greater than the power upper limit value of the hydrogen production system at its initial capacity configuration, and the power difference between the power generation power of the new energy power generation system at its initial capacity configuration and the power upper limit value of the hydrogen production system at its initial capacity configuration is less than or equal to the power upper limit value of the coal chemical methanol production system and greater than or equal to the power lower limit value of the coal chemical methanol production system, the coal chemical methanol production system is controlled to operate at the power difference.

11. A capacity configuration device for a coal chemical industry coupled with a new energy methanol production system, characterized in that: The coal chemical industry coupled with new energy methanol production system comprises a coal chemical industry methanol production system for producing methanol, a new energy power generation system, a waste heat power generation system for generating electricity using waste heat from the coal chemical industry methanol production system, and a hydrogen production system. The capacity configuration device comprises: A first determination unit determines the output of green methanol in the methanol produced by the coal chemical industry coupled with new energy methanol production system; The second determination unit determines the preliminary capacity configuration of the new energy power generation system, the waste heat power generation system and the hydrogen production system and the operation control strategy of the coal chemical coupled new energy methanol production system according to the green methanol output and the production and operation data of the coal chemical methanol production system; A modeling unit, which simulates the operation of the coal chemical industry coupled with new energy to produce methanol system by using the operation control strategy and establishes a capacity configuration model with the overall benefit of the simulated operation of the coal chemical industry coupled with new energy to produce methanol system as the objective function; A solving unit calculates and solves the capacity configuration model with the preliminary capacity configuration as an initial value to obtain the optimal capacity configuration of the coal chemical industry coupled with new energy methanol production system.

12. The capacity configuration device of the coal chemical industry coupled with new energy to methanol system according to claim 11, characterized in that: The solving unit is configured as follows: The initial capacity configuration is PI-adjusted to obtain the optimal capacity configuration of the new energy power generation system, the optimal capacity configuration of the waste heat power generation system, and the optimal capacity configuration of the hydrogen production system, wherein, during the PI adjustment process, a fuzzy mathematical algorithm is used to calculate the power difference between the predicted power value and the actual power value of the new energy power generation system and the rate of change of the power difference to obtain an optimal PI coefficient, and the optimal capacity configuration of the new energy power generation system, the optimal capacity configuration of the waste heat power generation system, and the optimal capacity configuration of the hydrogen production system are determined according to the optimal PI coefficient.

13. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a program or instruction, and when the program or instruction is executed by a processor, a capacity configuration method for a coal chemical industry coupled with new energy to produce methanol system according to any one of claims 1 to 11 is implemented.

14. A coal chemical industry coupled with new energy to produce methanol system, characterized in that: The construction capacity of the coal chemical industry coupled with new energy methanol production system is determined by the capacity configuration method according to any one of claims 1-10.

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