CN117688277B - Electric energy and heat energy carbon flow distribution calculation method and device for cogeneration system - Google Patents

Electric energy and heat energy carbon flow distribution calculation method and device for cogeneration system Download PDF

Info

Publication number
CN117688277B
CN117688277B CN202410134369.5A CN202410134369A CN117688277B CN 117688277 B CN117688277 B CN 117688277B CN 202410134369 A CN202410134369 A CN 202410134369A CN 117688277 B CN117688277 B CN 117688277B
Authority
CN
China
Prior art keywords
energy
cogeneration system
carbon
flow
carbon emission
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202410134369.5A
Other languages
Chinese (zh)
Other versions
CN117688277A (en
Inventor
马韵婷
张智慧
吕志鹏
宋振浩
宋天琦
杨飞
史超
周珊
薛琳
刘锋
李�昊
朱越
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Online Shanghai Energy Internet Research Institute Co ltd
Original Assignee
China Online Shanghai Energy Internet Research Institute Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Online Shanghai Energy Internet Research Institute Co ltd filed Critical China Online Shanghai Energy Internet Research Institute Co ltd
Priority to CN202410134369.5A priority Critical patent/CN117688277B/en
Publication of CN117688277A publication Critical patent/CN117688277A/en
Application granted granted Critical
Publication of CN117688277B publication Critical patent/CN117688277B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Control Of Eletrric Generators (AREA)
  • Fuel Cell (AREA)

Abstract

The invention relates to a method and a device for calculating electric energy and heat energy carbon flow distribution of a cogeneration system, wherein the method comprises the following steps: establishing a carbon emission balance model of the cogeneration system based on an energy balance principle and a carbon balance principle of the comprehensive energy cogeneration system; based on the carbon emission balance model, establishing a carbon flow distribution model of the cogeneration system according to the relationship between the carbon emission intensity of the electric output port and the heat output port of the cogeneration system and the corresponding energy conversion efficiency; and acquiring the carbon emission intensity of the electric energy flow and the heat energy flow based on the carbon flow distribution model of the cogeneration system according to the energy flow relation. The invention can evaluate the energy activity per se in the system and the greenhouse gas emission directly generated by the energy resource.

Description

Electric energy and heat energy carbon flow distribution calculation method and device for cogeneration system
Technical Field
The invention relates to the technical field of cogeneration, in particular to a method and a device for calculating electric energy and heat energy carbon flow distribution of a cogeneration system.
Background
The life cycle evaluation method (LIFE CYCLE ASSESSMENT, LCA) is mainly applied as an evaluation tool for evaluating and accounting the whole life cycle process of products or services, namely the energy consumption and environmental impact from cradle to tomb. From cradle to tomb generally refers to the collection of raw materials from the product to production, transportation, consumer use and final waste disposal. According to the system boundary setting and model principle of the method, the life cycle evaluation methods which are relatively commonly used at present can be divided into the following three types: process lifecycle evaluation, input-output lifecycle evaluation, and hybrid lifecycle evaluation.
For integrated energy systems, lifecycle energy chain carbon emission analysis methods are typically employed, taking into account the direct impact of energy activity and evaluating the concomitant impact indirectly related to energy activity. For a comprehensive energy system comprising five parts of sources, networks, energy exchange, storage and charge, classifying all energy chains contained in the system, fully considering a carbon track of each energy chain from a production source to a load demand side by using a life cycle evaluation method, comprehensively considering the working characteristics of each unit in the system aiming at a typical integrated terminal containing electric heating (cooling) gas load demand, analyzing carbon emission generated in migration and conversion processes of different energy chains in the comprehensive energy system, and constructing the life cycle energy chain evaluation method to obtain the carbon emission coefficient after normalization.
The prior patent document CN117096864A discloses a game optimization scheduling method of a regional comprehensive energy system-main power distribution network, wherein a life cycle evaluation method LCA is adopted to obtain the actual carbon emission and carbon emission limit, and a reward and punishment ladder-type carbon transaction cost model is established. The existing lifecycle assessment method cannot determine the carbon emissions corresponding to the energy use from a consumer perspective.
Disclosure of Invention
The invention aims to solve the technical problem of providing a comprehensive energy cogeneration system electric energy and heat energy carbon flow distribution calculation method and device, which can evaluate the energy activity per se in the system and the greenhouse gas emission directly generated by energy resources.
The technical scheme adopted for solving the technical problems is as follows: the utility model provides a cogeneration system electric energy and heat energy carbon flow distribution calculation method, which comprises the following steps:
establishing a carbon emission balance model of the cogeneration system based on an energy balance principle and a carbon balance principle of the comprehensive energy cogeneration system;
Based on the carbon emission balance model, establishing a carbon flow distribution model of the cogeneration system according to the relationship between the carbon emission intensity of the electric output port and the heat output port of the cogeneration system and the corresponding energy conversion efficiency;
and calculating the carbon emission intensity of the electric energy flow and the heat energy flow based on the carbon flow distribution model of the cogeneration system according to the energy flow relation.
The energy balance principle of the comprehensive energy cogeneration system is energy conservation of equipment input and output, and the energy conservation principle is expressed as follows: Wherein,/> represents the energy flow of the energy bf input by the device Eq after the time period t n is over; the expression/> indicates the energy flow of the energy af output by the device Eq after the end of the period t n; the term/> denotes the energy conversion efficiency of the device Eq to convert energy bf into energy af.
The carbon balance principle of the comprehensive energy cogeneration system is the conservation of carbon flow of equipment input and output, and is expressed as: Wherein,/> is the carbon emission of the energy bf input by the equipment Eq after the time period t n is ended, and the carbon emission is expressed as: a/> , wherein, a/> represents energy flow of the energy bf input by the equipment Eq after the time period of t n is ended, and a/> is carbon emission intensity of the energy bf input by the equipment Eq after the time period of t n is ended; after the time period of t n, where/() is t n, the carbon emission amount of the energy af output by the device Eq is expressed as: a/> , wherein, a/> represents an energy flow of the energy af output by the device Eq after the time period t n is ended, and a/> is a carbon emission intensity of the energy af output by the device Eq after the time period t n is ended; and/> denotes the energy-to-carbon split ratio of the device Eq.
The carbon emission balance model of the cogeneration system is as follows: Wherein,/> is the electrical energy output of the cogeneration system,/> is the thermal energy output of the cogeneration system,/> is the electrical energy conversion efficiency of the cogeneration system,/> is the thermal energy conversion efficiency of the cogeneration system,/> is the carbon emission intensity of the electrical energy stream output by the cogeneration system,/> is the carbon emission intensity of the thermal energy stream output by the cogeneration system,/> is the gas energy input of the cogeneration system, and/> is the carbon emission intensity of the gas energy stream input by the cogeneration system.
The carbon flow of the cogeneration system is obtained by establishing an energy-flow relation distribution model under the condition that the carbon emission intensity and the electric energy conversion efficiency of an electric output port of the cogeneration system are inversely proportional, and the heat output port and the heat energy conversion efficiency of the cogeneration system are inversely proportional, and the carbon flow is expressed as: .
The technical scheme adopted for solving the technical problems is as follows: provided is a cogeneration system electric energy and thermal energy carbon flow distribution computing device, comprising:
the first building module is used for building a carbon emission balance model of the cogeneration system based on an energy balance principle and a carbon balance principle of the comprehensive energy cogeneration system;
The second building module is used for building a carbon flow distribution model of the cogeneration system according to the relationship between the carbon emission intensity of the electric output port and the thermal output port of the cogeneration system and the corresponding energy conversion efficiency based on the carbon emission balance model;
and the acquisition module is used for calculating the carbon emission intensity of the electric energy flow and the heat energy flow according to the energy flow relation distribution model based on the carbon flow of the cogeneration system.
The energy balance principle of the comprehensive energy cogeneration system is energy conservation of equipment input and output, and the energy conservation principle is expressed as follows: Wherein,/> represents the energy flow of the energy bf input by the device Eq after the time period t n is over; the expression/> indicates the energy flow of the energy af output by the device Eq after the end of the period t n; the term/> denotes the energy conversion efficiency of the device Eq to convert energy bf into energy af.
The carbon balance principle of the comprehensive energy cogeneration system is the conservation of carbon flow of equipment input and output, and is expressed as: Wherein,/> is the carbon emission of the energy bf input by the equipment Eq after the time period t n is ended, and the carbon emission is expressed as: a/> , wherein, a/> represents energy flow of the energy bf input by the equipment Eq after the time period of t n is ended, and a/> is carbon emission intensity of the energy bf input by the equipment Eq after the time period of t n is ended; after the time period of t n, where/() is t n, the carbon emission amount of the energy af output by the device Eq is expressed as: a/> , wherein, a/> represents an energy flow of the energy af output by the device Eq after the time period t n is ended, and a/> is a carbon emission intensity of the energy af output by the device Eq after the time period t n is ended; and/> denotes the energy-to-carbon split ratio of the device Eq.
The carbon emission balance model of the cogeneration system established by the first establishing module is as follows: Wherein,/> is the electrical energy output of the cogeneration system,/> is the thermal energy output of the cogeneration system,/> is the electrical energy conversion efficiency of the cogeneration system,/> is the thermal energy conversion efficiency of the cogeneration system,/> is the carbon emission intensity of the electrical energy stream output by the cogeneration system,/> is the carbon emission intensity of the thermal energy stream output by the cogeneration system,/> is the gas energy input of the cogeneration system, and/> is the carbon emission intensity of the gas energy stream input by the cogeneration system.
The second building module builds a carbon flow distribution model of the cogeneration system according to the energy flow relation under the condition that the carbon emission intensity and the electric energy conversion efficiency of an electric output port of the cogeneration system are inversely proportional and the heat output port and the heat energy conversion efficiency of the cogeneration system are inversely proportional, and the carbon flow distribution model of the cogeneration system according to the energy flow relation is as follows: .
The technical scheme adopted for solving the technical problems is as follows: an electronic device is provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned combined heat and power system electric energy and thermal energy carbon flow distribution calculation method when executing the computer program.
The technical scheme adopted for solving the technical problems is as follows: there is provided a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the cogeneration system electrical and thermal energy carbon stream distribution calculation method described above.
Advantageous effects
Due to the adoption of the technical scheme, compared with the prior art, the invention has the following advantages and positive effects: according to the method for calculating the carbon emission metering distribution of the electric energy and the heat energy in the cogeneration system, the energy activities and the greenhouse gas emissions directly generated by the energy resources in the comprehensive energy system can be evaluated, and the related energy-carbon accompanying effects in the various energy conversion and transmission processes in the system operation process can be evaluated.
Drawings
FIG. 1 is a flow chart of a method for calculating distribution of electric energy and thermal energy carbon flow in a cogeneration system according to a first embodiment of the invention;
Fig. 2 is a schematic diagram of a cogeneration system according to a first embodiment of the invention.
Detailed Description
The application will be further illustrated with reference to specific examples. It is to be understood that these examples are illustrative of the present application and are not intended to limit the scope of the present application. Furthermore, it should be understood that various changes and modifications can be made by one skilled in the art after reading the teachings of the present application, and such equivalents are intended to fall within the scope of the application as defined in the appended claims.
The first embodiment of the invention relates to a method for calculating electric energy and heat energy carbon flow distribution of a cogeneration system. In this embodiment, a multi-energy coupled cogeneration (Cogeneration, combined heat and power, CHP) device is taken as an example, and a carbon emission stream distribution calculation method accompanied by multiple energy streams is proposed in the multi-energy coupling process. As shown in fig. 1, the method specifically comprises the following steps:
And step 1, establishing a carbon emission balance model of the cogeneration system based on an energy balance principle and a carbon balance principle of the comprehensive energy cogeneration system.
The carbon emission balance model for building the cogeneration system, which is built in the step, mainly focuses on modeling the carbon emission of the energy conversion equipment of the system in the energy balance of each part of the system, and focuses on the condition that specific equipment can be coupled with carbon, and in the modeling process, mainly considers the following basic principles:
The energy balance principle is that an energy flow model of equipment in the system meets the energy conservation of input and output of the equipment.
The carbon balance principle is followed by a carbon emission conservation principle in the system, namely, a carbon flow model of the equipment meets the carbon flow conservation of the input and output of the equipment.
Wherein the energy balance during energy conversion can be expressed as:
(1)
wherein represents the energy flow of the energy bf input by the equipment Eq after the time period t n is finished; the expression/> indicates the energy flow of the energy af output by the device Eq after the end of the period t n; the term/> denotes the energy conversion efficiency of the device Eq to convert energy bf into energy af.
Energy confluence and diversion occur in the energy hub, and energy balance of the energy hub can be expressed as follows by taking energy confluence as an example:
(2)
Wherein represents the total amount of x energy which is collected into the energy hub EH after the time period t n is over; the term/> denotes the energy x flowing from the k module to the energy hub EH after the time period t n has ended; x k represents the energy x from the k module.
Similarly, carbon balance and energy carbon coupling can be expressed as:
(3)
,/> (4)
Wherein represents the energy-carbon split ratio of the device Eq, where/() and/> are respectively the carbon emission intensity of the input energy bf and the output energy af of the device Eq after the time period of t n is over, that is, the carbon emission corresponding to the unit energy input/output is given by kgCO 2/kJ./> and/> respectively as the carbon emission amount of the input energy bf and the carbon emission amount of the output energy af of the device Eq after the time period of t n is over, and kgCO 2 is given by unit.
Based on the above, the power output and the heat output distribution of the cogeneration system are proportional to the gas input, expressed as:
(5)
(6)
Wherein is the electric energy output of the cogeneration system,/> is the heat energy output of the cogeneration system,/> is the electric energy conversion efficiency of the cogeneration system, and/> is the heat energy conversion efficiency of the cogeneration system.
As shown in fig. 2, there are again following principles according to the carbon emission balance:
(7)
Wherein is the carbon emission intensity of the electric energy flow output by the cogeneration system,/> is the carbon emission intensity of the heat energy flow output by the cogeneration system,/> is the gas energy input of the cogeneration system, and/> is the carbon emission intensity of the gas energy flow input by the cogeneration system.
Therefore, the carbon emission balance model of the cogeneration system established in the step is as follows: .
And 2, based on the carbon emission balance model, establishing a carbon flow distribution model of the cogeneration system according to the relation between the carbon emission intensity of the electric output port and the thermal output port of the cogeneration system and the corresponding energy conversion efficiency.
Since the higher the cogeneration system efficiency is, the less energy is consumed for unit energy output and the lower the carbon emission is, the present embodiment makes the carbon emission intensity of the electric output port and the thermal output port inversely proportional to the corresponding energy efficiency, that is:
(8)
Then according to formulas (5), (6) and (7), the distribution model of the carbon flow of the CHP cogeneration system according to the energy flow relation is obtained as follows:
(9)
And step 3, calculating the carbon emission intensity of the electric energy flow and the heat energy flow based on the carbon flow distribution model of the cogeneration system according to the energy flow relation.
It is not difficult to find that the method in the embodiment can analyze and calculate the carbon emission intensity caused by different energies in the integrated energy system, can be applied to the integrated energy carbon flow analysis field, can consider different transmission losses caused by different energy characteristics, topological structures, transmission technologies and operation modes of electric energy and heat energy, can better analyze the energy consumption behavior and the corresponding bearing carbon emission amount from the energy consumption side, can intuitively observe, calculate and analyze the carbon emission and source in the electric and heat energy network and the distribution characteristics related to each afflux node and the flow direction, can track the complete carbon footprint of the energy consumption, and can analyze the carbon emission from the consumption angle and distribute the corresponding bearing carbon emission according to the actual energy consumption behavior of a consumption unit.
A second embodiment of the present invention relates to a cogeneration system electric energy and thermal energy carbon flow distribution calculation device, comprising:
the first building module is used for building a carbon emission balance model of the cogeneration system based on an energy balance principle and a carbon balance principle of the comprehensive energy cogeneration system;
The second building module is used for building a carbon flow distribution model of the cogeneration system according to the relationship between the carbon emission intensity of the electric output port and the thermal output port of the cogeneration system and the corresponding energy conversion efficiency based on the carbon emission balance model;
and the acquisition module is used for calculating the carbon emission intensity of the electric energy flow and the heat energy flow according to the energy flow relation distribution model based on the carbon flow of the cogeneration system.
The energy balance principle of the comprehensive energy cogeneration system is energy conservation of equipment input and output, and the energy conservation principle is expressed as follows: Wherein,/> represents the energy flow of the energy bf input by the device Eq after the time period t n is over; After the time period t n is finished, the energy flow of the energy af output by the equipment Eq is represented; the term/> denotes the energy conversion efficiency of the device Eq to convert energy bf into energy af.
The carbon balance principle of the comprehensive energy cogeneration system is the conservation of carbon flow of equipment input and output, and is expressed as: Wherein,/> is the carbon emission of the energy bf input by the equipment Eq after the time period t n is ended, and the carbon emission is expressed as: a/> , wherein, a/> represents energy flow of the energy bf input by the equipment Eq after the time period of t n is ended, and a/> is carbon emission intensity of the energy bf input by the equipment Eq after the time period of t n is ended; after the time period of t n, where/() is t n, the carbon emission amount of the energy af output by the device Eq is expressed as: a/> , wherein, a/> represents an energy flow of the energy af output by the device Eq after the time period t n is ended, and a/> is a carbon emission intensity of the energy af output by the device Eq after the time period t n is ended; and/> denotes the energy-to-carbon split ratio of the device Eq.
The carbon emission balance model of the cogeneration system established by the first establishing module is as follows: Wherein,/> is the electrical energy output of the cogeneration system,/> is the thermal energy output of the cogeneration system,/> is the electrical energy conversion efficiency of the cogeneration system,/> is the thermal energy conversion efficiency of the cogeneration system,/> is the carbon emission intensity of the electrical energy stream output by the cogeneration system,/> is the carbon emission intensity of the thermal energy stream output by the cogeneration system,/> is the gas energy input of the cogeneration system, and/> is the carbon emission intensity of the gas energy stream input by the cogeneration system.
The second building module builds a carbon flow distribution model of the cogeneration system according to the energy flow relation under the condition that the carbon emission intensity and the electric energy conversion efficiency of an electric output port of the cogeneration system are inversely proportional and the heat output port and the heat energy conversion efficiency of the cogeneration system are inversely proportional, and the carbon flow distribution model of the cogeneration system according to the energy flow relation is as follows: .
A third embodiment of the present invention is directed to an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the cogeneration system power and thermal energy carbon stream distribution calculation method of the first embodiment when executing the computer program.
A fourth embodiment of the present invention relates to a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the cogeneration system electric power and thermal energy carbon stream distribution calculation method of the first embodiment.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (8)

1. The electric energy and heat energy carbon flow distribution calculation method of the cogeneration system is characterized by comprising the following steps of:
establishing a carbon emission balance model of the cogeneration system based on an energy balance principle and a carbon balance principle of the comprehensive energy cogeneration system; the carbon emission balance model of the cogeneration system is as follows:
Wherein is the electrical energy output of the cogeneration system,/> is the thermal energy output of the cogeneration system, # E is the electrical energy conversion efficiency of the cogeneration system, # H is the thermal energy conversion efficiency of the cogeneration system,/> is the carbon emission intensity of the electrical energy stream output by the cogeneration system,/> is the carbon emission intensity of the thermal energy stream output by the cogeneration system,
The method is characterized in that the method comprises the steps of inputting gas energy of a cogeneration system, wherein/() is the carbon emission intensity of the gas energy flow input by the cogeneration system;
Based on the carbon emission balance model, establishing a carbon flow distribution model of the cogeneration system according to the relationship between the carbon emission intensity of the electric output port and the heat output port of the cogeneration system and the corresponding energy conversion efficiency; the carbon flow of the cogeneration system is obtained by establishing an energy-flow relation distribution model under the condition that the carbon emission intensity and the electric energy conversion efficiency of an electric output port of the cogeneration system are inversely proportional, and the heat output port and the heat energy conversion efficiency of the cogeneration system are inversely proportional, and the carbon flow is expressed as:
And acquiring the carbon emission intensity of the electric energy flow and the heat energy flow based on the carbon flow distribution model of the cogeneration system according to the energy flow relation.
2. The method for calculating the distribution of electric energy and thermal energy carbon flow of the cogeneration system according to claim 1, wherein the energy balance principle of the integrated energy cogeneration system is the conservation of energy input and output by the equipment, and the energy conservation is expressed as:
Wherein,/> represents the energy flow of the energy bf input by the equipment Eq after the time period t n is finished; After the time period t n is finished, the energy flow of the energy af output by the equipment Eq is represented; the term/> denotes the energy conversion efficiency of the device Eq to convert energy bf into energy af.
3. The method for calculating the distribution of electric energy and heat energy carbon flow of the cogeneration system according to claim 1, wherein the carbon balance principle of the integrated energy cogeneration system is the conservation of the carbon flow of the input and output of the equipment, and is expressed as:
Wherein,/> is the carbon emission of the energy bf input by the equipment Eq after the time period t n is ended, and the carbon emission is expressed as: wherein,/> , where,/> represents the energy flow of the energy bf input by the device Eq after the time period t n is ended, and,/> is the carbon emission intensity of the energy bf input by the device Eq after the time period t n is ended; after the time period of t n, where/() is t n, the carbon emission amount of the energy af output by the device Eq is expressed as:
Wherein,/> indicates the energy flow of the energy af output by the device Eq after the time period t n is over, and,/> is the carbon emission intensity of the energy af output by the device Eq after the time period t n is over; and/> denotes the energy-to-carbon split ratio of the device Eq.
4. A cogeneration system electric energy and thermal energy carbon stream distribution computing device, comprising:
The first building module is used for building a carbon emission balance model of the cogeneration system based on an energy balance principle and a carbon balance principle of the comprehensive energy cogeneration system; the carbon emission balance model of the cogeneration system established by the first establishing module is as follows: Wherein,/> is the electrical energy output of the cogeneration system,
For the heat energy output of the cogeneration system, eta E is the electric energy conversion efficiency of the cogeneration system, eta H is the heat energy conversion efficiency of the cogeneration system, and/ is the carbon emission intensity of the electric energy flow output by the cogeneration system, and/ is the carbon emission intensity of the heat energy flow output by the cogeneration system, and/ is the gas energy input of the cogeneration system, and/
The carbon emission intensity of the gas energy flow input into the cogeneration system;
The second building module is used for building a carbon flow distribution model of the cogeneration system according to the relationship between the carbon emission intensity of the electric output port and the thermal output port of the cogeneration system and the corresponding energy conversion efficiency based on the carbon emission balance model; the second building module builds a carbon flow distribution model of the cogeneration system according to the energy flow relation under the condition that the carbon emission intensity and the electric energy conversion efficiency of an electric output port of the cogeneration system are inversely proportional and the heat output port and the heat energy conversion efficiency of the cogeneration system are inversely proportional, and the carbon flow distribution model of the cogeneration system according to the energy flow relation is as follows:
And the acquisition module is used for acquiring the carbon emission intensity of the electric energy flow and the heat energy flow according to the energy flow relation distribution model based on the carbon flow of the cogeneration system.
5. The cogeneration system electric energy and thermal energy carbon flow distribution computing device of claim 4 wherein the energy balance principle of the integrated energy cogeneration system is the conservation of energy of the device inputs and outputs, expressed as:
Wherein,/> represents the energy flow of the energy bf input by the equipment Eq after the time period t n is finished; After the time period t n is finished, the energy flow of the energy af output by the equipment Eq is represented; the term/> denotes the energy conversion efficiency of the device Eq to convert energy bf into energy af.
6. The cogeneration system electric energy and thermal energy carbon flow distribution computing device of claim 4 wherein the carbon balance principle of the integrated energy cogeneration system is the conservation of carbon flow of the equipment input and output, expressed as:
Wherein,/> is the carbon emission of the energy bf input by the equipment Eq after the time period t n is ended, and the carbon emission is expressed as: wherein,/> , where,/> represents the energy flow of the energy bf input by the device Eq after the time period t n is ended, and,/> is the carbon emission intensity of the energy bf input by the device Eq after the time period t n is ended; after the time period of t n, where/() is t n, the carbon emission amount of the energy af output by the device Eq is expressed as:
Wherein,/> indicates the energy flow of the energy af output by the device Eq after the time period t n is over, and,/> is the carbon emission intensity of the energy af output by the device Eq after the time period t n is over; and/> denotes the energy-to-carbon split ratio of the device Eq.
7. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor, when executing the computer program, implements the steps of the cogeneration system electric energy and thermal energy carbon flow distribution calculation method of any one of claims 1-3.
8. A computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor performs the steps of the cogeneration system electrical and thermal energy carbon stream distribution calculation method of any one of claims 1-3.
CN202410134369.5A 2024-01-31 2024-01-31 Electric energy and heat energy carbon flow distribution calculation method and device for cogeneration system Active CN117688277B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202410134369.5A CN117688277B (en) 2024-01-31 2024-01-31 Electric energy and heat energy carbon flow distribution calculation method and device for cogeneration system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202410134369.5A CN117688277B (en) 2024-01-31 2024-01-31 Electric energy and heat energy carbon flow distribution calculation method and device for cogeneration system

Publications (2)

Publication Number Publication Date
CN117688277A CN117688277A (en) 2024-03-12
CN117688277B true CN117688277B (en) 2024-04-16

Family

ID=90133720

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202410134369.5A Active CN117688277B (en) 2024-01-31 2024-01-31 Electric energy and heat energy carbon flow distribution calculation method and device for cogeneration system

Country Status (1)

Country Link
CN (1) CN117688277B (en)

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109978625A (en) * 2019-03-28 2019-07-05 河海大学 It is a kind of meter and electric heating gas network integrated energy system multiple target running optimizatin method
CN112560221A (en) * 2020-11-13 2021-03-26 清华大学 Capacity distribution method and device for facility agriculture energy network containing enhanced geothermal system
CN114091913A (en) * 2021-11-19 2022-02-25 云南电网有限责任公司电力科学研究院 Low-carbon economic dispatching method considering heat supply network and P2G multi-park comprehensive energy system
CN114357782A (en) * 2022-01-06 2022-04-15 南京邮电大学 Comprehensive energy system optimization scheduling method considering carbon source sink effect
CN114547894A (en) * 2022-02-24 2022-05-27 清华大学 Regional comprehensive energy system-oriented carbon emission flow calculation method and device
CN114723175A (en) * 2022-05-09 2022-07-08 东南大学 Method for calculating energy flow and carbon flow distribution of comprehensive energy system
CN115935690A (en) * 2022-12-27 2023-04-07 中能融合智慧科技有限公司 Method and system for dynamically analyzing carbon emission of cogeneration system
CN116911876A (en) * 2023-07-11 2023-10-20 国网江西省电力有限公司九江供电分公司 Regional multi-user distributed green electricity tracing calculation method and device
CN117096864A (en) * 2023-08-23 2023-11-21 南京工程学院 Game optimization scheduling method for regional comprehensive energy system-main power distribution network

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20230122675A1 (en) * 2021-10-19 2023-04-20 Yidi Wang Estimation and ranking method for carbon emission of individual life

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109978625A (en) * 2019-03-28 2019-07-05 河海大学 It is a kind of meter and electric heating gas network integrated energy system multiple target running optimizatin method
CN112560221A (en) * 2020-11-13 2021-03-26 清华大学 Capacity distribution method and device for facility agriculture energy network containing enhanced geothermal system
CN114091913A (en) * 2021-11-19 2022-02-25 云南电网有限责任公司电力科学研究院 Low-carbon economic dispatching method considering heat supply network and P2G multi-park comprehensive energy system
CN114357782A (en) * 2022-01-06 2022-04-15 南京邮电大学 Comprehensive energy system optimization scheduling method considering carbon source sink effect
CN114547894A (en) * 2022-02-24 2022-05-27 清华大学 Regional comprehensive energy system-oriented carbon emission flow calculation method and device
CN114723175A (en) * 2022-05-09 2022-07-08 东南大学 Method for calculating energy flow and carbon flow distribution of comprehensive energy system
CN115935690A (en) * 2022-12-27 2023-04-07 中能融合智慧科技有限公司 Method and system for dynamically analyzing carbon emission of cogeneration system
CN116911876A (en) * 2023-07-11 2023-10-20 国网江西省电力有限公司九江供电分公司 Regional multi-user distributed green electricity tracing calculation method and device
CN117096864A (en) * 2023-08-23 2023-11-21 南京工程学院 Game optimization scheduling method for regional comprehensive energy system-main power distribution network

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
Fuel and Carbon Dioxide Emissions Savings Calculation Methodology for Combined Heat and Power Systems;Combined Heat and Power Partnership;U.S. Environmental Protection Agency;20210630;第1-44页 *
Research and Development of AC/DC Power Electronics Energy Router with Multi-scenarios and Multi-modes;Yunting Ma等;The 6th IEEE Conference on Energy Internet and Energy System Integration;20221231;第2266-2271页 *
基于园区IES购电方案优化的低碳运行模型;王常乐等;高压电技术;20230430;第1441-1454页 *
基于随机动态规划的多能联供系统冷热电经济分配模型;王亚楠等;电力自动化设备;20190715;第21-26页 *
考虑电网电压调节的区域综合能源系统协调优化运行研究;沈璐;万方学位论文;20230822;第1-124页 *
考虑碳捕集技术的热电联供型微电网低碳运行研究;李思颖等;武汉大学学报(工学版);20231130;第1358-1367页 *

Also Published As

Publication number Publication date
CN117688277A (en) 2024-03-12

Similar Documents

Publication Publication Date Title
Liu et al. Intelligent modeling and optimization for smart energy hub
CN103632045B (en) A kind of computational methods for assessing provincial power network power generation dispatching ideality
CN111177128B (en) Metering big data batch processing method and system based on improved outlier detection algorithm
CN114548797A (en) Thermal power generating unit carbon emission index accounting method, system, equipment and medium
Yang et al. The optimal investment strategy of P2G based on real option theory
CN117688277B (en) Electric energy and heat energy carbon flow distribution calculation method and device for cogeneration system
CN113205208B (en) An efficiency and energy efficiency evaluation method of a comprehensive energy system accounting for primary energy permeability, wherein the efficiency and energy efficiency evaluation method comprises 15794
CN105825348A (en) Method for quantitatively analyzing influence exerted by bilateral trade on power grid power transmission cost
CN105700987B (en) Energy consumption system energy consumption simulation and energy-saving diagnosis method and platform based on cloud technology
CN116933952B (en) Park low-carbon energy scheduling system based on visualization of Internet of things
CN116542430B (en) Multi-dimensional water carbon emission intelligent analysis method and system
CN105162143A (en) Method for determining optimal trading capacity between large regional grids
CN104935004B (en) Based on many microgrids polymerization coordination optimization operation method that panorama is theoretical
CN113078647B (en) Climbing capacity assessment method for flexible power load cluster
Nasiri et al. Energy optimization of multi-carrier energy systems to achieve a low carbon community
CN102520273B (en) Energy-saving detection method of large generator set
Sankaranarayanan et al. Evaluation of Influence of Principles Involved in Industry 4.0 Over Coal Industries Using TISM
Yazdani et al. Multi-objective process and production planning integration in reconfigurable manufacturing environment: augmented ε-constraint based approach
CN109032075A (en) A kind of intelligence steel construction stock method and system
Huang An Analysis of Artificial Intelligence Engineering Cost Information Management Platform
He et al. Multi-energy conversion based on game theory in the industrial interconnection
US20240097444A1 (en) Hybrid system and method for distributed virtual power plants integrated intelligent net zero
Yanala et al. Evaluation of flexibility assessment indices upon flexible loading of thermal power plants with high penetration of renewables
CN116050711A (en) Carbon emission identification system for construction period of power transmission and transformation construction project
Luo et al. Semantic Modeling of Building Construction Emission Knowledge

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant