CN117911055A - Carbon emission optimizing system based on regional comprehensive energy coupling characteristics - Google Patents
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- 238000005859 coupling reaction Methods 0.000 title claims abstract description 46
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 43
- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 43
- 230000005611 electricity Effects 0.000 claims abstract description 24
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Abstract
The invention provides a carbon emission optimization system based on regional comprehensive energy coupling characteristics, which relates to the technical field of carbon emission, wherein a system structure consists of an energy supply module, a coupling module and a user module, energy sources in all energy supply modules in the region where the system is located are coupled through the coupling module, the energy sources are used for setting priority, power supply is distributed according to the requirements of the user module, and the inside of the user module is partitioned, so that the energy sources in living areas, office areas and industrial areas can be mutually supplied, the reasonable distribution of the energy sources is realized, the waste of the energy sources is reduced, the energy utilization rate is improved, the carbon emission optimization is realized, the energy supply to electricity, heat, cold and air is realized, two groups of combined function modes of more than two groups of energy sources are arranged on each function structure, the energy sources can be distributed for use in green energy sources according to requirements, and the standby, green and safe energy supply can be realized in an emergency state, and the energy supply efficiency is high.
Description
Technical Field
The invention relates to the technical field of carbon emission, in particular to a carbon emission optimization system based on regional comprehensive energy coupling characteristics.
Background
According to the method for optimizing the multi-level of the comprehensive energy system, disclosed in the Chinese patent No. CN112116131B, which takes carbon emission into account, the method comprises the following steps: dividing the comprehensive energy system into three layers of a regional layer, a block layer and a local layer according to the node type, wherein the local layer is positioned at the bottom layer, the block layer is positioned at the middle layer, and the regional layer is positioned at the top layer; establishing an optimal configuration model objective function of each level of the comprehensive energy system; establishing optimization configuration model constraints of each level of the comprehensive energy system, wherein the optimization configuration model constraints comprise energy network tide constraints, energy coupling constraints and carbon emission constraints; and optimizing the comprehensive energy system based on a genetic algorithm according to the objective function and the constraint of the optimal configuration model of each level to obtain the optimal configuration result of each level of the system. The invention can realize the collaborative planning of the centralized energy supply and the distributed energy supply in the comprehensive energy system, and meet the flexible design requirement of the comprehensive energy system.
According to the method and the device for calculating the carbon emission flow of the regional comprehensive energy system disclosed in the Chinese patent number CN114547894A, the method comprises the following steps: modeling the carbon emission of the single-input single-output conversion equipment and the single-input multi-output conversion equipment respectively, establishing a single-period steady-state carbon emission flow model of the energy conversion equipment, obtaining a matrix expression of carbon emission flow based on the single-period steady-state carbon emission flow model of the energy conversion equipment, establishing a single-period steady-state carbon emission flow model of the regional comprehensive energy system, combining the steady-state carbon emission flow model of the energy storage equipment, which is coupled in multiple periods, and establishing a multi-period carbon emission flow standardization model of the regional comprehensive energy system to solve the multi-period carbon emission flow standardization model, so as to obtain the actual carbon emission flow of the regional comprehensive energy system. Therefore, the problems that the related technology is disjointed with the actual physical characteristics of the energy system, the space-time transfer mechanism of carbon emission in the energy system cannot be clarified, the guidance on the energy system optimization decision is limited and the like are solved.
The above patent document and the prior art have the following technical problems when in use:
Firstly, when planning and using the energy in the area, a certain amount of energy is generally supplied directly, and the energy utilization rate is low because the energy consumption of different areas is different and the phenomena of insufficient energy supply and interference of energy supply are easy to occur during energy supply aiming at the fact that the user side does not conduct partition;
Secondly, when aiming at carbon discharge treatment, consumption of carbon dioxide in a partial area is generally adopted, the whole area environment range cannot be covered, the carbon discharge is increased, and reasonable optimization cannot be carried out;
And thirdly, when energy is supplied, a single channel is generally adopted for supplying, so that emergency supply cannot be performed in time when the channel is interrupted, and meanwhile, reasonable energy distribution cannot be performed by single energy supply, so that the method is not beneficial to actual use.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a carbon emission optimization system based on regional comprehensive energy coupling characteristics, which solves the following problems:
1. the energy resource distribution suitability of the user side is insufficient, so that energy resource waste is caused, and the problem of reduced utilization rate is generated;
2. insufficient coverage during carbon displacement treatment;
3. the energy source supply source is single, and the emergency and reasonable distribution can not be realized.
In order to achieve the above purpose, the invention is realized by the following technical scheme: carbon emission optimizing system based on regional comprehensive energy coupling characteristic, the system structure comprises energy supply module, coupling module and user module, wherein:
the energy supply module is used for providing energy supply for the area where the system is located and comprises a solar generator set, a wind generator set, a photo-thermal power station, natural gas, fossil energy and an energy storage device, wherein the energy supply module is internally provided with a power supply priority, and the energy supply module sequentially comprises solar energy, wind energy, the photo-thermal power station, the energy storage device and the fossil energy from high to low according to the priority;
The coupling module is used for coupling and transmitting each energy source in the system energy supply module through connection among all the devices in the system energy supply module, and classifying and supplying cold, heat, electricity and gas required by the user module;
The user module is used for consuming energy in the energy supply module after being transmitted by the coupling module, the user module is divided into a living area, an office area and an industrial area according to the internal working conditions, and the living area, the office area and the industrial area are mutually supplied with energy.
Preferably, the photo-thermal power station mainly comprises a heat collecting system, a heat storage system and a power generation system, wherein the heat collecting system collects solar heat and transmits the heat to a heat conducting medium, the heat conducting medium heats water to form steam to push a steam turbine to generate power, a heat storage device is arranged in the photo-thermal power station and is used for carrying out heat storage or heat release on the balance of the thermoelectric process in each period,
The electric power model of the photo-thermal power station generator is as follows:
①
the model of the photo-thermal power station heat storage device is as follows:
②
In the above-mentioned method, the step of, And/>Output electric power and input thermal power of the photo-thermal power station respectively in t period,/>For thermoelectric conversion efficiency,/>For the heat storage quantity of the heat storage device at the time t,/>Is the self-loss rate of the heat storage device,/>And/>Heat storage power and heat release power of the heat storage device in t period respectively,/>And/>Heat storage efficiency and heat release efficiency of the heat storage device respectively,/>For a scheduling period.
Preferably, the energy storage device is mainly used for storing electric energy, and the energy storage device charges or discharges according to the electric power balance condition of the system and the electricity price of the power grid, wherein,
③
In the above-mentioned method, the step of,For the electricity storage capacity of the heat storage device at the time t,/>Is the self-loss rate of the electricity storage device,/>AndCharging power and discharging power of the electricity storage device in t period respectively,/>And/>The charging efficiency and the discharging efficiency of the electricity storage device are respectively.
Preferably, the energy processing module inside the coupling module is composed of a mains supply, a gas boiler, a waste heat boiler, P2G equipment, an electric refrigerating unit and an absorption refrigerating unit, the mains supply is connected with fossil energy, the P2G equipment is connected with a carbon-emission distribution module and an electric energy distribution module in the energy distribution module, the P2G equipment is matched with natural gas to supply air for the user module, the electric refrigerating unit and the absorption refrigerating unit are used for cooling the user module, the gas boiler and the waste heat boiler are matched with a photo-thermal power station to supply heat for the user module, and the photo-thermal power station, the solar power generating unit, the wind power generating unit, the fossil energy and the energy storage device are used for the whole system to supply power stably.
Preferably, after the P2G device is powered on, the P2G device is configured to electrolyze water into oxygen and hydrogen, and receive carbon dioxide distributed by the carbon-emission distribution module to react to generate methane, where a natural gas amount calculation expression generated by the P2G device is as follows:
④
In the above-mentioned method, the step of, For the natural gas produced by P2G,/>Setting the consumed electric quantity as the total power accessed by P2G equipment in the system for the electric quantity consumed in the P2G process,/>For the conversion efficiency of P2G procedure,/>Is the low temperature heat value of natural gas.
Preferably, the electric energy distribution module is used for storing and distributing electric energy generated by the power supply module, the electric energy in the electric energy distribution module is destined for the user module, the electric refrigerating unit, the P2G device, the gas boiler, the waste heat boiler and self-storage, the carbon emission distribution module is used for collecting and distributing carbon dioxide generated in the system, the collected sources come from the user module, the gas boiler, the waste heat boiler and fossil energy, and the distributed destination is the P2G device.
Preferably, the waste heat boiler provides a heat source for the absorption refrigeration unit to perform conversion refrigeration, the refrigeration capacity of the electric refrigeration unit is in direct proportion to the electric energy input by the system, and when the electric refrigeration unit performs cold load output, the mathematical model is as follows:
⑤
In the above formula: For the output of the cold load of the electric refrigerating unit at the moment t,/> Input quantity of electric load at t moment of electric refrigerating unit,/>The electric cooling conversion coefficient of the electric refrigerating unit;
The absorption refrigerating unit is used for recycling low-quality heat energy in the system and converting the low-quality heat energy into usable cold energy, and a mathematical model is as follows:
⑥
In the above formula: For cold output power of absorption refrigeration unit,/> Power input for waste heat of absorption refrigerating unit,/>For the heat recovery ratio of absorption refrigeration units,/>Is the refrigerating coefficient of the unit.
Preferably, in the user module, the living area and the office area are mainly consumed aiming at electric power consumption, night wind energy power supply and daytime photovoltaic power supply are adopted, mains supply is used for supplying power in the case of insufficient power supply, the industrial area is mainly combined with consumption and functions, and a large amount of mains supply is added for supplying power for use on the basis of power supply of the living area and the office area, and surplus heat sources in the office area in the user module are supplied to the industrial area for use aiming at consumption of heat sources, cold sources and natural gas.
The invention provides a carbon emission optimization system based on regional comprehensive energy coupling characteristics. The beneficial effects are as follows:
1. The invention adopts the energy supply module, the coupling module and the user module to form the whole system structure, the coupling module is used for coupling energy sources in the energy supply modules in the area where the system is positioned, the priority is set for the use of the energy sources, the power supply is distributed according to the requirements of the user module, and the user module is partitioned, so that the energy sources in the living area, the office area and the industrial area can be mutually supplied, the reasonable distribution of the energy sources is realized, the waste of the energy sources is reduced, the energy source utilization rate is improved, and the carbon emission optimization is realized.
2. According to the invention, the P2G equipment is arranged in the coupling module to absorb and convert carbon dioxide generated by the user module and the coupling module in the system into methane for gas supply of the system, and the carbon dioxide is absorbed, stored and guided and distributed for consumption by the carbon-emission distribution module arranged in the coupling module, so that the carbon discharge in the area of the system is fundamentally reduced, and the environment-friendly energy supply and energy consumption are realized.
3. The invention adopts the system to supply power to electricity, heat, cold and gas, and sets two groups and more than two groups of combined functional modes on each functional structure, supplies power through solar energy, wind energy, mains supply and photo-heat, supplies heat through a photo-heat matching gas boiler and a waste heat boiler, supplies gas through P2G equipment matching natural gas, supplies cold through an electric refrigerating unit and an absorption refrigerating unit, can distribute and use green energy sources of electricity, heat, cold and gas according to requirements, can realize standby energy supply in an emergency state, is green and safe, and has high energy supply efficiency.
Drawings
FIG. 1 is a diagram of a system power supply architecture of the present invention;
FIG. 2 is a block diagram of a photo-thermal power station of the present invention;
FIG. 3 is a flow chart of power usage priority according to the present invention;
FIG. 4 is a schematic diagram of the result of optimizing the thermal power in the living area during the simulation experiment of the present invention;
FIG. 5 is a schematic diagram of the results of optimizing the thermal power of the office area in the simulation experiment of the present invention;
FIG. 6 is a schematic diagram of the results of thermal power optimization in the industrial area during the simulation experiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
First embodiment:
as shown in fig. 1-3, the system structure of the carbon emission optimization system based on the regional comprehensive energy coupling characteristics comprises an energy supply module, a coupling module and a user module, wherein:
The energy supply module is used for supplying energy to the area where the system is located, and comprises a solar generator set, a wind generator set, a photo-thermal power station, natural gas, fossil energy and an energy storage device, wherein the energy supply module is internally provided with a power supply priority, and the energy supply module is sequentially solar energy, wind energy, the photo-thermal power station, the energy storage device and fossil energy according to the priority from high to low;
The coupling module is used for coupling and transmitting each energy source in the system energy supply module through connection among all the devices in the coupling module, classifying and supplying cold, heat, electricity and gas required by the user module, and an energy source processing module and an energy source distribution module are arranged in the coupling module, the energy source processing module is connected with the energy supply module, the energy source distribution module is connected with the energy source processing module and the user module, and the energy source distribution module is composed of an electric energy distribution module and a carbon row distribution module;
The user module is used for consuming energy in the energy supply module after being transmitted by the coupling module, the user module is divided into a living area, an office area and an industrial area according to the internal working condition, and the living area, the office area and the industrial area are mutually supplied with energy.
The photo-thermal power station mainly comprises a heat collecting system, a heat storage system and a power generation system, wherein the heat collecting system collects solar heat and transmits the heat to a heat conducting medium, the heat conducting medium heats water to form steam to push a steam turbine to generate power, a heat storage device is arranged in the photo-thermal power station and is used for carrying out heat storage or heat release on the balance of the thermoelectric process in each period,
The electric power model of the photo-thermal power station generator is as follows:
①
the model of the photo-thermal power station heat storage device is as follows:
②
In the above-mentioned method, the step of, And/>Output electric power and input thermal power of the photo-thermal power station respectively in t period,/>For thermoelectric conversion efficiency,/>For the heat storage quantity of the heat storage device at the time t,/>Is the self-loss rate of the heat storage device,/>And/>Heat storage power and heat release power of the heat storage device in t period respectively,/>And/>Heat storage efficiency and heat release efficiency of the heat storage device respectively,/>For a scheduling period.
The energy storage device is mainly used for storing electric energy, and charges or discharges according to the electric power balance condition of the system and the electricity price of the power grid, wherein,
③
In the above-mentioned method, the step of,For the electricity storage capacity of the heat storage device at the time t,/>Is the self-loss rate of the electricity storage device,/>AndCharging power and discharging power of the electricity storage device in t period respectively,/>And/>The charging efficiency and the discharging efficiency of the electricity storage device are respectively.
Specific embodiment II:
As shown in fig. 1-3, the energy processing module inside the coupling module is composed of a mains supply, a gas boiler, a waste heat boiler, P2G equipment, an electric refrigerating unit and an absorption refrigerating unit, the mains supply is connected with fossil energy, the P2G equipment is connected with a carbon-emission distribution module and an electric energy distribution module in the energy distribution module, the P2G equipment is matched with natural gas to supply air to the user module, the electric refrigerating unit and the absorption refrigerating unit are used for cooling the user module, the gas boiler and the waste heat boiler are matched with a photo-thermal power station to supply heat to the user module, the photo-thermal power station, a solar power generator set, a wind energy generating unit, fossil energy and an energy storage device are used for the whole system to supply power stably, the P2G equipment is arranged inside the coupling module to absorb and convert carbon dioxide generated by the user module and the coupling module into methane for supplying air to the system, and the carbon-emission distribution module is arranged inside the coupling module to absorb and store the carbon dioxide and guide and distribute and consume the carbon dioxide, so that the carbon emission in the area where the system is located is fundamentally reduced, and green energy supply and energy consumption are realized.
The P2G equipment is used for electrolyzing water into oxygen and hydrogen after being powered on, and receiving carbon dioxide distributed by the carbon row distribution module to react to generate methane, wherein the natural gas quantity calculation expression generated by the P2G equipment is as follows:
④
In the above-mentioned method, the step of, For the natural gas produced by P2G,/>Setting the consumed electric quantity as the total power accessed by P2G equipment in the system for the electric quantity consumed in the P2G process,/>For the conversion efficiency of P2G procedure,/>Is the low temperature heat value of natural gas.
The electric energy distribution module is used for storing and distributing electric energy generated by the power supply module, the electric energy in the electric energy distribution module is destined for the user module, the electric refrigerating unit, the P2G device, the gas boiler, the waste heat boiler and self storage, the carbon dioxide distribution module is used for collecting and distributing carbon dioxide generated in the system, the source of the collection is from the user module, the gas boiler, the waste heat boiler and fossil energy, and the distributed destination is the P2G device.
The waste heat boiler provides a heat source for the absorption type refrigerating unit to carry out conversion refrigeration, the refrigerating capacity of the electric refrigerating unit is in direct proportion to the electric energy input by the system, and when the electricity price benefit is higher, the waste heat boiler carries out cold load output, so that the whole economic operation level of the system is improved, and the mathematical model is as follows:
⑤
In the above formula: For the output of the cold load of the electric refrigerating unit at the moment t,/> Input quantity of electric load at t moment of electric refrigerating unit,/>The electric cooling conversion coefficient of the electric refrigerating unit;
The absorption refrigerating unit is used for recycling low-quality heat energy in the system and converting the low-quality heat energy into usable cold energy, and a mathematical model is as follows:
⑥
In the above formula: For cold output power of absorption refrigeration unit,/> Power input for waste heat of absorption refrigerating unit,/>For the heat recovery ratio of absorption refrigeration units,/>Is the refrigerating coefficient of the unit.
Third embodiment:
As shown in fig. 1-3, for each of the living area, the office area and the industrial area in the user module, CCHP systems are provided and connected through an area heat supply network to form a multi-park IES, in the user module, for power consumption, the living area and the office area are mainly consumed, night wind power supply and daytime photovoltaic power supply are adopted, mains supply is used for supplementing when the power supply is insufficient, the industrial area is mainly consumed and combined with functions, and on the basis of the power supply of the living area and the office area, the mains supply is greatly added for use, and the cold source supply of the user module is generally directly supplied through cold sources generated by an electric refrigerating unit and an absorption refrigerating unit.
When the heat source is supplied and used, simulation experiments are carried out on heat supply equipment of a living area, and the experimental results are shown in fig. 4-6, because the heat source is mainly supplied from a gas boiler, a waste heat boiler and heat supply network interaction power, when the heat supply network interaction power is positive, the user module is used for absorbing heat from the system, when the heat supply network interaction power is negative, the user module is provided with redundant heat sources which are injected into the system, the heat demand of the living area is supplied by the waste heat filtration and the gas boiler, the load thermoelectric of an office area is lower, redundant heat energy can be transmitted to an industrial area through the heat supply network, the load thermoelectric of the industrial area is higher, more heat is absorbed, and the office area transmits the redundant heat energy to the industrial area through the regional heat supply network as a whole, so that the coordinated distribution of the heat energy utilization efficiency of each park is realized, and the carbon dioxide emission is also indirectly reduced.
Fourth embodiment:
As shown in fig. 1-3, in actual use, besides the above-mentioned equipment for processing electricity, heat, cold and gas, the energy processing module inside the coupling module is internally provided with a separate circuit processing element for processing the aluminum foil, voltage stabilization, voltage reduction conversion and the like of electricity in the energy supply module when the energy processing module is connected with the power supply module, so that stable electric energy is received in the electric energy distribution module when the energy processing module is connected with the electric energy distribution module, current or voltage fluctuation is prevented from occurring during connection, and stability of power supply of the system is increased.
When the energy processing module is used for receiving and processing electric energy in the functional module, the fossil energy is stable through a mains supply and the electric energy voltage and current which are accessed, so that excessive processing is not needed, solar energy and wind energy generated by the solar generator set and the wind energy generator set are low in stability and large in fluctuation, secondary processing is needed, the electric energy generated by the photo-thermal power station is stable between the mains supply and the solar energy and wind energy, at least four groups of electric energy processing modules are arranged in an energy storage device in the energy supply module and are respectively used for storing the solar energy and the wind energy after the stable processing, storing the electric energy of the photo-thermal power station after the stable processing and storing the electric energy by interference, the module where the solar energy and the wind energy are arranged is a first priority when the module where the electric energy is used, the module where the electric energy is used is a second priority, the interference storing power is used for storing the surplus electric energy after the conversion of the solar energy, the wind energy and the photo-thermal power station module is a third priority, and the mains supply is a fourth priority, and the electric energy is sequentially supplied by the energy processing modules, so that reasonable distribution of the electric energy is realized, and the electric energy consumption is prevented.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a reference structure" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. Carbon emission optimizing system based on regional comprehensive energy coupling characteristic, its characterized in that: the system structure comprises energy supply module, coupling module and user module, wherein:
the energy supply module is used for providing energy supply for the area where the system is located and comprises a solar generator set, a wind generator set, a photo-thermal power station, natural gas, fossil energy and an energy storage device, wherein the energy supply module is internally provided with a power supply priority, and the energy supply module sequentially comprises solar energy, wind energy, the photo-thermal power station, the energy storage device and the fossil energy from high to low according to the priority;
The coupling module is used for coupling and transmitting each energy source in the system energy supply module through connection among all the devices in the system energy supply module, and classifying and supplying cold, heat, electricity and gas required by the user module;
The user module is used for consuming energy in the energy supply module after being transmitted by the coupling module, the user module is divided into a living area, an office area and an industrial area according to the internal working conditions, and the living area, the office area and the industrial area are mutually supplied with energy.
2. The carbon emission optimization system based on regional integrated energy coupling characteristics of claim 1, wherein: the photo-thermal power station mainly comprises a heat collecting system, a heat storage system and a power generation system, wherein the heat collecting system collects solar heat and transmits the heat to a heat conducting medium, the heat conducting medium heats water to form steam to push a steam turbine to generate power, a heat storage device is arranged in the photo-thermal power station and is used for carrying out heat storage or heat release on the balance of the thermoelectric process in each period,
The electric power model of the photo-thermal power station generator is as follows:
①
the model of the photo-thermal power station heat storage device is as follows:
②
In the above-mentioned method, the step of, And/>Output electric power and input thermal power of the photo-thermal power station respectively in t period,/>For thermoelectric conversion efficiency,/>For the heat storage quantity of the heat storage device at the time t,/>Is the self-loss rate of the heat storage device,/>And/>Heat storage power and heat release power of the heat storage device in t period respectively,/>And/>Heat storage efficiency and heat release efficiency of the heat storage device respectively,/>For a scheduling period.
3. The carbon emission optimization system based on regional integrated energy coupling characteristics of claim 1, wherein: the energy storage device is mainly used for storing electric energy, and the energy storage device charges or discharges according to the electric power balance condition of the system and the electricity price of the power grid, wherein,
③
In the above-mentioned method, the step of,For the electricity storage capacity of the heat storage device at the time t,/>Is the self-loss rate of the electricity storage device,/>And/>Charging power and discharging power of the electricity storage device in t period respectively,/>And/>The charging efficiency and the discharging efficiency of the electricity storage device are respectively.
4. The carbon emission optimization system based on regional integrated energy coupling characteristics of claim 1, wherein: the energy treatment module inside the coupling module consists of a mains supply, a gas boiler, a waste heat boiler, P2G equipment, an electric refrigerating unit and an absorption refrigerating unit, wherein the mains supply is connected with fossil energy, the P2G equipment is connected with a carbon-emission distribution module and an electric energy distribution module in the energy distribution module, the P2G equipment is matched with natural gas to supply air for a user module, the electric refrigerating unit and the absorption refrigerating unit are used for cooling the user module, the gas boiler and the waste heat boiler are matched with a photo-thermal power station to supply heat for the user module, and the photo-thermal power station, the solar power generating unit, the wind power generating unit, the fossil energy and the energy storage device are used for stably supplying power to the whole system.
5. The carbon emission optimization system based on regional integrated energy coupling characteristics of claim 4, wherein: the P2G equipment is used for electrolyzing water into oxygen and hydrogen after being powered on, and receiving carbon dioxide distributed by the carbon row distribution module to react to generate methane, wherein the natural gas quantity calculation expression generated by the P2G equipment is as follows:
④
In the above-mentioned method, the step of, For the natural gas produced by P2G,/>Setting the consumed electric quantity as the total power accessed by P2G equipment in the system for the electric quantity consumed in the P2G process,/>For the conversion efficiency of P2G procedure,/>Is the low temperature heat value of natural gas.
6. The carbon emission optimization system based on regional integrated energy coupling characteristics of claim 1, wherein: the electric energy distribution module is used for storing and distributing electric quantity generated by the power supply module, the electric quantity in the electric energy distribution module is destined for the user module, the electric refrigerating unit, the P2G equipment, the gas boiler, the waste heat boiler and the self storage, the carbon emission distribution module is used for collecting and distributing carbon dioxide generated in the system, the collected source is from the user module, the gas boiler, the waste heat boiler and the fossil energy, and the distributed destination is the P2G equipment.
7. The carbon emission optimization system based on regional integrated energy coupling characteristics of claim 6, wherein: the waste heat boiler provides a heat source for the absorption refrigerating unit to perform conversion refrigeration, the refrigerating capacity of the electric refrigerating unit is in direct proportion to the electric energy input by the system, and when the electric refrigerating unit performs cold load output, the mathematical model is as follows:
⑤
In the above formula: For the output of the cold load of the electric refrigerating unit at the moment t,/> Input quantity of electric load at t moment of electric refrigerating unit,/>The electric cooling conversion coefficient of the electric refrigerating unit;
The absorption refrigerating unit is used for recycling low-quality heat energy in the system and converting the low-quality heat energy into usable cold energy, and a mathematical model is as follows:
⑥
In the above formula: For cold output power of absorption refrigeration unit,/> Power input for waste heat of absorption refrigerating unit,/>For the heat recovery ratio of absorption refrigeration units,/>Is the refrigerating coefficient of the unit.
8. The carbon emission optimization system based on regional integrated energy coupling characteristics of claim 1, wherein: in the user module, the living area and the office area are mainly consumed aiming at electric power consumption, night wind energy power supply and daytime photovoltaic power supply are adopted, commercial power supply is used for supplementing when power supply is insufficient, the industrial area is mainly combined with consumption and functions, a large amount of commercial power supply is added for use on the basis of power supply of the living area and the office area, and surplus heat sources in the office area in the user module are supplied to the industrial area for use aiming at heat source, cold source and natural gas consumption.
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113507138A (en) * | 2021-07-16 | 2021-10-15 | 国网江苏省电力有限公司仪征市供电分公司 | Mobile-based comprehensive energy system and scheduling method |
CN114580746A (en) * | 2022-03-04 | 2022-06-03 | 无锡机电高等职业技术学校 | Comprehensive energy station composite energy storage configuration optimization method based on low-carbon economic benefit quantification |
CN114818269A (en) * | 2022-03-23 | 2022-07-29 | 燕山大学 | Industrial park comprehensive energy system and factory production plan collaborative optimization method |
CN116542370A (en) * | 2023-04-23 | 2023-08-04 | 华北电力大学 | Park low-carbon economic operation method considering carbon capture and carbon transaction |
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CN114580746A (en) * | 2022-03-04 | 2022-06-03 | 无锡机电高等职业技术学校 | Comprehensive energy station composite energy storage configuration optimization method based on low-carbon economic benefit quantification |
CN114818269A (en) * | 2022-03-23 | 2022-07-29 | 燕山大学 | Industrial park comprehensive energy system and factory production plan collaborative optimization method |
CN116542370A (en) * | 2023-04-23 | 2023-08-04 | 华北电力大学 | Park low-carbon economic operation method considering carbon capture and carbon transaction |
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