CN115935690A - Method and system for dynamically analyzing carbon emission of cogeneration system - Google Patents

Method and system for dynamically analyzing carbon emission of cogeneration system Download PDF

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CN115935690A
CN115935690A CN202211691274.0A CN202211691274A CN115935690A CN 115935690 A CN115935690 A CN 115935690A CN 202211691274 A CN202211691274 A CN 202211691274A CN 115935690 A CN115935690 A CN 115935690A
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carbon
unit
carbon emission
cogeneration
cost
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胡泊
苏玉鑫
楼炜
袁野
张兵涛
尉迟军
黄忠斌
赵静微
汪越
吴琦
郭晓慧
高洪玲
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Zhongneng Integrated Smart Energy Technology Co Ltd
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Abstract

The invention provides a dynamic analysis method and system for carbon emission of a cogeneration system. The method comprises the following steps: inputting boundary conditions of operation of the cogeneration system into a system simulation model to obtain system simulation output data; calculating the carbon emission of the cogeneration system according to the operating boundary conditions; calculating an evaluation index of the cogeneration system according to the carbon emission, the running boundary condition and system simulation output data; comparing the evaluation index of the cogeneration system with a standard established in the industry, and if the evaluation index of the cogeneration system does not meet the standard established in the industry, optimizing the cogeneration system; and adjusting the structure of the cogeneration system or the boundary conditions of the system simulation model, repeating the steps, and optimizing the cogeneration system. The scheme provided by the invention combines the product carbon emission accounting with the evaluation index, and realizes scientific judgment and analysis of the carbon emission optimization route.

Description

Method and system for dynamically analyzing carbon emission of cogeneration system
Technical Field
The invention belongs to the field of energy, and particularly relates to a method and a system for dynamically analyzing carbon emission of a cogeneration system.
Background
Accurate acquisition of carbon emission information is particularly important in the consumption process. The power and energy supply industry becomes one of the key emission reduction departments in China as the biggest emission department, and the hidden carbon emission in the power and energy supply industry causes the underestimation of actual emission. And the conventional carbon emission accounting period is accounted in units of years. The real carbon emission level of the energy production system under different working conditions cannot be actually analyzed and diagnosed. Because the equipment efficiency of the energy production system under different working conditions is greatly different. Currently, energy supply enterprises are charging electricity during the production process. How to upgrade and optimize the carbon emission level of energy products such as steam and the like, further meeting the requirements of a green supply chain and low-carbon products is greatly confused, and the requirements of low carbon in the whole society cannot be quickly met.
A method for building a carbon footprint accounting model and a service platform of a product is disclosed in publication No. CN114819997A, and discloses a method for building a carbon footprint accounting model and a service platform of a product, which comprises the following steps: the platform inputs a product to be checked and the field data and background data of the product at each stage through a data receiving end; the emission of various greenhouse gases of the product in the whole life cycle is measured and calculated by relying on a carbon footprint accounting basic database in a green low-carbon industrial map; after the measurement and calculation are finished, checking the field data of the accounting and the collected background data, and then examining the calculation process and the carbon footprint statement report; upon passing the verification and audit, a carbon footprint statement report and/or a carbon footprint certificate is issued.
At present, a design method of a carbon emission calculation simulation platform is mainly used for researching the current carbon footprint level in the production process, wherein only static data calculation is performed on an energy supply system in a production link, and the working principle and the energy efficiency improvement space of the energy supply system are not deeply analyzed. Calculating the carbon emission level for a long period of time in terms of final energy consumption does not yield the most appropriate problem for the system during operation.
Disclosure of Invention
In order to solve the technical problems, the invention provides a technical scheme of a carbon emission dynamic analysis method of a cogeneration system, so as to solve the technical problems.
The invention discloses a method for dynamically analyzing carbon emission of a combined heat and power generation system in a first aspect, which comprises the following steps:
s1, inputting boundary conditions of operation of a cogeneration system into a system simulation model to obtain system simulation output data;
s2, calculating the carbon emission of the cogeneration system according to the running boundary condition;
s3, calculating an evaluation index of the cogeneration system according to the carbon emission, the running boundary condition and system simulation output data;
s4, comparing the evaluation index of the cogeneration system with a standard established in the industry, and if the evaluation index of the cogeneration system does not meet the standard established in the industry, optimizing the cogeneration system;
and S5, adjusting the structure of the cogeneration system or the boundary conditions of the system simulation model, and repeating the steps S1 to S4 to optimize the cogeneration system.
According to the method of the first aspect of the present invention, in the step S1, the operational boundary conditions include: fuel type, fuel composition, fuel price, fuel lower heating value, carbon content per unit heating value of fuel, total fuel consumption and electric power;
the system simulation output data comprises: net output electric quantity in system simulation time, effective heat supply total quantity in system simulation time, effective cold supply total quantity in system simulation time and total gas consumption in system simulation time.
According to the method of the first aspect of the invention, in the step S2, the method of calculating the carbon emission amount of the cogeneration system according to the boundary condition of operation includes:
Figure SMS_1
Figure SMS_2
wherein, C T To carbon emission, C i Cumulative carbon emissions for model i over simulation time, E Burning of For modeling the instantaneous carbon emissions of fossil fuels, E Outsourcing power The model electric instantaneous carbon emission;
E burning of =∑ ij WC i,j× HU ij ×CC j ×α j ×ρ·ΔT;
Wherein WC i,j HU being the total fuel consumption of fossil fuels i,j Fuel low calorific value, CC, for fossil fuel j j Carbon content per unit calorific value, alpha, of fossil fuel j j The carbon oxidation rate of fossil fuel j is shown, rho is the ratio of carbon dioxide to the molecular weight of carbon, i is a unit process, j is a fuel type, and delta T is a simulation unit step length;
E outsourcing power =P E ×EF Electric power ·ΔT;
Wherein, P E To be electrical power, EF Electric power Is the power drain factor of the power consuming unit process.
According to the method of the first aspect of the invention, in the step S3, the cogeneration system evaluation index includes: carbon emission of unit product, comprehensive utilization rate of energy and operation cost of unit product.
According to the method of the first aspect of the present invention, in the step S3, the method of calculating the carbon emission of the unit product based on the carbon emission, the boundary conditions of the operation and the system simulation output data includes:
carbon emissions per unit product include: the method comprises the following steps of (1) system unit heat carbon emission, system unit power supply carbon emission, system unit cold supply carbon emission and system unit heat supply carbon emission;
carbon emission per unit heat of the system
Figure SMS_3
Carbon emission per unit power supply of the system
Figure SMS_4
Unit cooling carbon emission of the system
Figure SMS_5
Carbon emission per unit heat supply of the system
Figure SMS_6
Wherein, W T Unit heat of systemCarbon emission, W TE Supply of carbon emissions, W, to system units TC For cooling carbon emission of the system unit, W TH Supplying heat and carbon emission to a system unit; q E For net output of electrical quantity, Q, in system simulation time C For the total amount of heat supplied, Q, in the system simulation time H The total amount of effective cooling in the system simulation time is obtained.
According to the method of the first aspect of the present invention, in the step S3, the method for calculating the energy comprehensive utilization rate according to the carbon emission, the operation boundary conditions and the system simulation output data includes:
Figure SMS_7
Figure SMS_8
wherein eta is T The average energy comprehensive utilization rate, eta, of the simulation time period system Te For simulating the power generation efficiency of the time slot system, Q E For net output of electrical quantity, Q, in system simulation time C For the total amount of heat supplied, Q, in the system simulation time H The total amount of effective cooling in the system simulation time, HU is the low-level heating value of the fuel, and B is the total consumption of the gas in the system simulation time.
According to the method of the first aspect of the present invention, in the step S3, the method of calculating the operation cost per unit product based on the carbon emission, the boundary conditions of the operation, and the system simulation output data includes:
unit heat cost of system
Figure SMS_9
Cost of power supply per unit of system
Figure SMS_10
System unit cooling cost
Figure SMS_11
Cost of heat supply per unit of system
Figure SMS_12
Wherein X T For the unit heat cost of the system, X TE Cost of power supply to the system unit, X TC For the cooling cost of the system unit, X TH For the unit heating cost of the system, Q E Net output of electrical quantity, Q, in system simulation time C For the total amount of effective heat supply, Q, in the system simulation time H For the total amount of available cooling, P, in the system simulation time T The system operating cost;
P T =P R +P M
wherein, P R As a cost of fuel, P M Cost for system maintenance;
Figure SMS_13
wherein Q is i Total energy supply for the ith equipment year, mc i Maintenance cost for the ith equipment;
P R =P gas +P E +P W
wherein, P gas For gas costs, P E For the electricity charge, P W Is a water charge.
The invention discloses a carbon emission dynamic analysis system of a combined heat and power generation system in a second aspect, which comprises:
a first processing module configured to input boundary conditions of operation consumed by the cogeneration system into the system simulation model to obtain system simulation output data;
a second processing module configured to calculate carbon emissions of the cogeneration system according to the boundary conditions of operation;
the third processing module is configured to calculate a cogeneration system evaluation index according to the carbon emission, the running boundary condition and system simulation output data;
a fourth processing module, configured to apply the co-generation system evaluation index to compare with a standard established in the industry, and if the co-generation system evaluation index does not meet the standard established in the industry, the co-generation system needs to be optimized;
and the fifth processing module is configured to adjust boundary conditions of a combined heat and power generation system structure or a system simulation model, repeat the first processing module to the fourth processing module and optimize the combined heat and power generation system.
A third aspect of the invention discloses an electronic device. The electronic device comprises a memory and a processor, the memory stores a computer program, and the processor realizes the steps of the method for dynamically analyzing the carbon emission of the cogeneration system in the first aspect of the disclosure when executing the computer program.
A fourth aspect of the invention discloses a computer-readable storage medium. The computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps in a method for dynamically analyzing carbon emissions of a cogeneration system according to any one of the first aspects of the disclosure.
According to the scheme provided by the invention, the carbon emission accounting and the evaluation index of the product are combined, scientific judgment and analysis of the carbon emission optimization route are realized, an optimization iteration feedback mechanism based on the system diagnosis result is provided, and a green low-carbon development route can be established according to the feedback result. And evaluating and diagnosing the simulation system according to excellent cases and indexes in the industry. And optimizing the simulation structure according to the evaluation and diagnosis suggestion.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for dynamically analyzing carbon emissions of a cogeneration system, according to an embodiment of the invention;
fig. 2 is a structural diagram of a carbon emission dynamic analysis system of a cogeneration system according to an embodiment of the invention;
fig. 3 is a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The invention discloses a method for dynamically analyzing carbon emission of a cogeneration system in a first aspect. Fig. 1 is a flowchart of a method for dynamically analyzing carbon emissions of a cogeneration system, according to an embodiment of the invention, as shown in fig. 1, the method includes:
step S1, inputting operation boundary conditions consumed by a combined heat and power generation system into a system simulation model to obtain system simulation output data;
s2, calculating the carbon emission of the cogeneration system according to the running boundary condition;
s3, calculating an evaluation index of the cogeneration system according to the carbon emission, the running boundary condition and system simulation output data;
s4, comparing the evaluation index of the cogeneration system with a standard established in the industry, and if the evaluation index of the cogeneration system does not meet the standard established in the industry, optimizing the cogeneration system;
and S5, adjusting the structure of the cogeneration system or the boundary conditions of the system simulation model, and repeating the steps S1 to S4 to optimize the cogeneration system.
In step S1, boundary conditions of operation consumed by the cogeneration system are input to the system simulation model to obtain system simulation output data.
In some embodiments, in the step S1, the operational boundary conditions include: fuel type, fuel composition, fuel price, fuel lower heating value, carbon content per unit heating value of fuel, total fuel consumption and electric power;
the system simulation output data comprises: net output electric quantity in system simulation time, effective heat supply total quantity in system simulation time, effective cold supply total quantity in system simulation time and total gas consumption in system simulation time.
In step S2, the carbon emission of the cogeneration system is calculated based on the boundary conditions of operation.
In some embodiments, in said step S2, the carbon emission of the cogeneration system is the sum of all model carbon emissions in the system. The carbon emission of the cogeneration system comprises direct emission generated by burning fossil fuel of the system and indirect emission generated by purchasing electric power from a power grid, and the calculation methods of the direct emission and the indirect emission are respectively the total energy consumption multiplied by corresponding emission factors. The default value of the carbon emission factor is a factor library of national relevant standards, and the specific numerical value of the factor can be modified according to the numerical value obtained by direct measurement or measured and calculated by methods such as energy balance, material balance and the like.
The method for calculating the carbon emission of the cogeneration system according to the boundary conditions of operation comprises the following steps:
Figure SMS_14
Figure SMS_15
wherein, C T Carbon emissions in kilograms of carbon dioxide equivalent (kgCO 2 e); c i Accumulating carbon emission for the model i in simulation time, wherein the unit is kilogram equivalent of carbon dioxide (kgCO 2 e); e Burning of The instantaneous carbon emission of the model fossil fuel is expressed in ton carbon dioxide equivalent (tCO 2 e); e Outsourcing power The instantaneous carbon emission of the model power is expressed in ton carbon dioxide equivalent (tCO 2 e);
E burning of =∑ ij WC i,j ×HU i,j ×CC j ×α j ×ρ·ΔT;
Wherein WC i,j The unit of solid and liquid fuel is kilogram (kg/s) and the unit of gas fuel is standard cubic meter (Nm) for the total fuel consumption of fossil fuel 3 /s);HU i,j The fuel low calorific value of fossil fuel j, the unit of solid and liquid fuel is megajoules per kilogram (MJ/kg), the unit of gaseous fuel is megajoules per ten thousand standard cubic meters (MJ/Nm) 3 );CC j The carbon content of the fuel unit heat value of the fossil fuel j is shown as kilogram carbon/megacoke (kgC/MJ); alpha (alpha) ("alpha") j Carbon oxidation rate of fossil fuel j in percent (%); rho is the ratio of the molecular weight of carbon dioxide to the molecular weight of carbon, and the value is 44/12; i is a unit process, j is a fuel type, and delta T is a simulation unit step length;
E outsourcing power =P E ×EF Electric power ·ΔT;
Wherein, P E Is electrical power in units of kilowatts (kW); EF Electricity Is the power emission factor of a power consuming unit process, in units of carbon dioxide equivalents per kilowatt-hour (kgCO 2 e/kWh).
And S3, calculating an evaluation index of the cogeneration system according to the carbon emission, the running boundary condition and the system simulation output data.
In some embodiments, in the step S3, the cogeneration system evaluation index includes: carbon emission of unit product, comprehensive utilization rate of energy and operation cost of unit product.
The method for calculating the carbon emission of the unit product according to the carbon emission, the running boundary condition and the system simulation output data comprises the following steps:
carbon emissions per unit product include: the method comprises the following steps of (1) system unit heat carbon emission, system unit power supply carbon emission, system unit cold supply carbon emission and system unit heat supply carbon emission;
specific heat carbon of the systemDischarging
Figure SMS_16
Carbon emission per unit power supply of the system
Figure SMS_17
The system unit supplies cold carbon emission
Figure SMS_18
Carbon emission per unit heat supply of the system
Figure SMS_19
Wherein, W T The unit heat carbon emission of the system is kg/kWh; w is a group of TE Supplying power and carbon emission to a system unit in kg/kWh; w TC The unit of the system is the discharge of cooling carbon, and the unit is kg/kWh; w is a group of TH The unit of heat supply carbon emission for the system unit is kg/kWh; q E The unit is the net output electric quantity in the system simulation time and is kWh; q C The unit of the total effective heat supply in the system simulation time is kWh; q H The total amount of effective cooling in the system simulation time is expressed in kWh.
The method for calculating the comprehensive utilization rate of the energy according to the carbon emission, the running boundary condition and the system simulation output data comprises the following steps:
Figure SMS_20
Figure SMS_21
wherein eta is T The average energy comprehensive utilization rate, eta, of the simulation time period system Te For simulating the power generation efficiency of the time slot system, Q E Net output of electrical quantity, Q, in system simulation time C For the total amount of effective heat supply, Q, in the system simulation time H For the total amount of effective cooling in the system simulation time, HU is combustionThe calorific value of the fuel at a low position, and B is the total consumption of the fuel gas in the system simulation time.
The method for calculating the unit product operation cost according to the carbon emission, the operation boundary condition and the system simulation output data comprises the following steps:
unit heat cost of system
Figure SMS_22
Cost of power supply per unit of system
Figure SMS_23
Cost of cooling system unit
Figure SMS_24
Cost of heat supply per unit of system
Figure SMS_25
Wherein, X T Is the unit heat cost of the system, X TE Cost of power supply to the system unit, X TC For the cooling cost of the system unit, X TH For the unit heating cost of the system, Q E Net output of electrical quantity, Q, in system simulation time C For the total amount of heat supplied, Q, in the system simulation time H For the total amount of effective cooling, P, in the system simulation time T The system operating cost;
P T =P R +P M
wherein, P R As a cost of fuel, P M A cost for system maintenance;
Figure SMS_26
wherein Q is i Total energy supply for the ith equipment year, mc i (ii) equipment maintenance costs for the ith category;
P R =P gas+P E+P W
wherein, P gas For gas costs, P E As a charge of electricity,P W The cost of water is.
In some embodiments of the present invention, the,
Figure SMS_27
Figure SMS_28
Figure SMS_29
wherein, W gas (t) hourly gas consumption, nm 3 /s;f g (t) is a gas price function, yuan/m 3 ;P E (t) hourly electric power, kWh; p (i) is the electricity price at time i, yuan/kWh; w w (t) hourly gas consumption, kg/s; f. of w (t) is a water price function; and delta T is a simulation unit step size.
DETAILED DESCRIPTION OF EMBODIMENT (S) OF INVENTION
Step S1, inputting the boundary conditions of operation consumed by the cogeneration system into a system simulation model to obtain system simulation output data, wherein the sequence numbers 1-7 are the boundary conditions of operation of the simulation system, and 8-17 are the output data of the simulation system, as shown in Table 1. 18. The 19 maintenance fee is an empirical value.
TABLE 1
Figure SMS_30
Figure SMS_31
S2, calculating the carbon emission of the cogeneration system according to the running boundary condition;
C gas turbine =WC i,j ×H Ui,j ×CC j ×α j ×ρ·ΔT+P E ×EF Electricity ·ΔT
C Gas turbine =2868.7×35.998×0.0153×0.99×44÷12×2000
383.74×0.5810·2000=1.1917×10 7 kg
C Steam boiler using waste heat =P E ×EF Electric power ·ΔT=90×0.5810×2000=1.0458×10 5 kg
C T =C Gas turbine +C Waste heat steam boiler =1.1917×10 7 +1.048×10 5 =1.202
10 7 kg。
S3, calculating an evaluation index of the cogeneration system according to the carbon emission, the running boundary condition and system simulation output data;
the evaluation indexes of the cogeneration system include: carbon emission of unit product, comprehensive utilization rate of energy and operation cost of unit product.
Carbon emission of unit heat of the system:
Figure SMS_32
carbon emission of system unit power supply:
Figure SMS_33
kg CO 2 /kWh
and (3) system unit heat supply carbon emission:
Figure SMS_34
kg CO 2 /kWh
the average energy comprehensive utilization rate of the simulation time period system is as follows:
Figure SMS_35
Figure SMS_36
the fuel costs include gas, electricity and water costs. The calculation formula is
Figure SMS_37
Figure SMS_38
Figure SMS_39
P R =P gas +P E +P W =1388.45+58.75+15.36=1462.55 ten thousand yuan
Wherein the gas cost is P gas And the electricity charge is P E Water charge Pw, P R As a total fuel cost.
Figure SMS_40
Wherein Q is i Total energy supply for the ith equipment year, mc i (ii) equipment maintenance costs for the ith category;
P T =P R +P M =1462.55+179.47=1642.02 ten thousand yuan
Wherein, P R As a cost of fuel, P M A cost for system maintenance;
the products of the cogeneration system are cold, heat and electricity, and the total energy generated by the system is equal to the sum of the heat of the three phases of cold supply, heat supply and power supply.
System unit heat cost:
Figure SMS_41
the power supply cost of a system unit:
Figure SMS_42
the heat supply cost of a system unit:
Figure SMS_43
s4, comparing the evaluation index of the cogeneration system with a standard established in the industry, wherein if the evaluation index of the cogeneration system does not meet the standard established in the industry, the cogeneration system needs to be optimized;
specifically, the carbon emission standard of a heat supply enterprise, which is set by the ecological environment bureau of Shanghai City, is referred to: the unit comprehensive heat supply amount of a gas unit in the cogeneration system is 0.6885tCO2/GJ. The calculation result of the embodiment is 0.093tCO2/GJ, and the whole carbon emission of the system is higher. The technical code of distributed energy supply system engineering (DG/TJ 08-115-2008) indicates that the total thermal efficiency of the distributed energy supply system is not less than 70% every year, and the calculation result of the embodiment is 62.56%, and the efficiency is low. The cogeneration system needs to be optimized
And S5, adjusting the structure of the cogeneration system or the boundary conditions of the system simulation model, repeating the steps S1 to S4, performing simulation verification on the simulation system optimization scheme, and verifying the carbon footprint optimization direction.
In conclusion, the scheme provided by the invention can combine product carbon emission accounting with evaluation indexes, realize scientific judgment and analysis of the carbon emission optimization route, provide an optimization iteration feedback mechanism based on a system diagnosis result, and establish a green low-carbon development route according to the feedback result. And evaluating and diagnosing the simulation system according to excellent cases and indexes in the industry. And optimizing the simulation structure according to the evaluation and diagnosis suggestion.
The invention discloses a carbon emission dynamic analysis system of a combined heat and power generation system in a second aspect. Fig. 2 is a structural diagram of a carbon emission dynamic analysis system of a cogeneration system according to an embodiment of the present invention; as shown in fig. 2, the system 100 includes:
a first processing module 101 configured to input boundary conditions of operation consumed by the cogeneration system into the system simulation model to obtain system simulation output data;
a second processing module 102 configured to calculate carbon emissions of the cogeneration system according to the boundary conditions of operation;
a third processing module 103 configured to calculate a cogeneration system evaluation index from the carbon emissions, operational boundary conditions, and system simulation output data;
a fourth processing module 104 configured to apply the cogeneration system evaluation index against a standard established in the industry, if the cogeneration system evaluation index does not meet the standard established in the industry, the cogeneration system needs to be optimized;
and a fifth processing module 105 configured to adjust boundary conditions of a cogeneration system structure or a system simulation model, and optimize the cogeneration system by repeating the first to fourth processing modules.
According to the system of the second aspect of the present invention, the first processing module 101 is specifically configured to, the boundary conditions of the operation include: fuel type, fuel composition, fuel price, fuel lower heating value, carbon content per unit heating value of fuel, total fuel consumption and electric power;
the system simulation output data comprises: net output electric quantity in system simulation time, effective heat supply total quantity in system simulation time, effective cold supply total quantity in system simulation time and total gas consumption in system simulation time.
The system according to the second aspect of the present invention, the second processing module 102 is specifically configured such that the carbon emissions of the cogeneration system is the sum of all model carbon emissions in the system. The carbon emission of the cogeneration system comprises direct emission generated by burning fossil fuel of the system and indirect emission generated by purchasing electric power from a power grid, and the calculation methods of the direct emission and the indirect emission are respectively the total energy consumption multiplied by corresponding emission factors. The default value of the carbon emission factor is a factor library of national relevant standards, and the specific value of the factor can be modified according to the value obtained by direct measurement or calculation by methods such as energy balance and material balance.
The method for calculating the carbon emission of the cogeneration system according to the boundary conditions of operation comprises the following steps:
Figure SMS_44
Figure SMS_45
wherein, C T Carbon emissions in kilograms of carbon dioxide equivalent (kgCO 2 e); c i Accumulating carbon emission for the model i in simulation time, wherein the unit is kilogram equivalent of carbon dioxide (kgCO 2 e); e Burning of The instantaneous carbon emission of the model fossil fuel is expressed in ton carbon dioxide equivalent (tCO 2 e); e Outsourcing power The instantaneous carbon emission of the model power is expressed in the unit of ton carbon dioxide equivalent (tCO 2 e);
E burning of =∑ ij WC i,j ×HU i,j ×CC j ×α j ×ρ·ΔT;
Wherein, WC i,j The unit of solid and liquid fuel is kilogram (kg/s) and the unit of gas fuel is standard cubic meter (Nm) for the total fuel consumption of fossil fuel 3 /s);HU i,j The fuel low calorific value of fossil fuel j, the unit of solid and liquid fuel is megajoules per kilogram (MJ/kg), the unit of gaseous fuel is megajoules per ten thousand standard cubic meters (MJ/Nm) 3 );CC j The carbon content of the fuel unit calorific value of the fossil fuel j is the unit kilogram carbon/megacoke (kgC/MJ); alpha (alpha) ("alpha") j Carbon oxidation rate of fossil fuel j in percent (%); rho is the ratio of the molecular weight of carbon dioxide to the molecular weight of carbon, and the value is 44/12; i is a unit process, j is a fuel type, and delta T is a simulation unit step length;
E outsourcing power =P E ×EF Electricity ·ΔT;
Wherein, P E Is electrical power in units of kilowatts (kW); EF Electric power Power discharge for power consuming unit processesFactor, in units of carbon dioxide equivalent per kilowatt-hour (kgCO 2 e/kWh).
According to the system of the second aspect of the present invention, the third processing module 103 is specifically configured to determine the co-generation system evaluation index by: carbon emission of unit product, comprehensive utilization rate of energy and operation cost of unit product.
The method for calculating the carbon emission of the unit product according to the carbon emission, the running boundary condition and the system simulation output data comprises the following steps:
carbon emissions per unit product include: the method comprises the following steps of (1) system unit heat carbon emission, system unit power supply carbon emission, system unit cold supply carbon emission and system unit heat supply carbon emission;
carbon emission per unit heat of the system
Figure SMS_46
Carbon emission per unit power supply of the system
Figure SMS_47
Unit cooling carbon emission of the system
Figure SMS_48
Carbon emission per unit heat supply of the system
Figure SMS_49
Wherein, W T The unit heat carbon emission of the system is kg/kWh; w TE Supplying power and carbon emission to a system unit in kg/kWh; w is a group of TC The unit of the system is the discharge of cooling carbon, and the unit is kg/kWh; w TH The unit of heat supply carbon emission for the system unit is kg/kWh; q E The unit of net output electric quantity in system simulation time is kWh; q C The total amount of effective heat supply in the system simulation time is expressed in kWh; q H The total amount of effective cooling in the system simulation time is expressed in kWh.
The method for calculating the comprehensive utilization rate of the energy according to the carbon emission, the running boundary condition and the system simulation output data comprises the following steps:
Figure SMS_50
Figure SMS_51
wherein eta is T The average energy comprehensive utilization rate, eta, of the simulation time period system Te For simulating the generating efficiency of the time quantum system, Q E For net output of electrical quantity, Q, in system simulation time C For the total amount of effective heat supply, Q, in the system simulation time H The total amount of effective cooling in the system simulation time, HU is the low-level heating value of the fuel, and B is the total consumption of the gas in the system simulation time.
The method for calculating the unit product operation cost according to the carbon emission, the operation boundary condition and the system simulation output data comprises the following steps:
system unit heat cost
Figure SMS_52
Cost of power supply per unit of system
Figure SMS_53
System unit cooling cost
Figure SMS_54
Cost of heat supply per unit of system
Figure SMS_55
Wherein, X T For the unit heat cost of the system, X TE Cost of power supply to the system unit, X TC For the cooling cost of the system unit, X TH For the unit heating cost of the system, Q E Net output of electrical quantity, Q, in system simulation time C For the total amount of effective heat supply, Q, in the system simulation time H For the total amount of effective cooling, P, in the system simulation time T To be aSystem operating costs;
P T =P R +PM;
wherein, P R As a cost of fuel, P M A cost for system maintenance;
Figure SMS_56
wherein Q is i Total energy supply for the ith equipment year, mc i (ii) equipment maintenance costs for the ith category;
P R =P gas+P E+P W
wherein, P gas For gas costs, P E For the electricity charge, P w The cost of water is.
In some embodiments of the present invention, the,
Figure SMS_57
Figure SMS_58
Figure SMS_59
wherein, W gas (t) hourly gas consumption, nm 3 /s;f g (t) is the gas price function, yuan/m 3 ;P E (t) hourly electric power, kWh; p (i) is the electricity price at time i, yuan/kWh; w w (t) time-by-time gas consumption, kg/s; f. of w (t) is a water price function; and delta T is a simulation unit step size.
A third aspect of the invention discloses an electronic device. The electronic equipment comprises a memory and a processor, the memory stores a computer program, and the processor executes the computer program to realize the steps of the method for dynamically analyzing the carbon emission of the cogeneration system in any one of the first aspects of the disclosure.
Fig. 3 is a block diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 3, the electronic device includes a processor, a memory, a communication interface, a display screen, and an input device, which are connected by a system bus. Wherein the processor of the electronic device is configured to provide computing and control capabilities. The memory of the electronic equipment comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operating system and the computer program to run on the non-volatile storage medium. The communication interface of the electronic device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, an operator network, near Field Communication (NFC) or other technologies. The display screen of the electronic equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the electronic equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the electronic equipment, an external keyboard, a touch pad or a mouse and the like.
It will be understood by those skilled in the art that the structure shown in fig. 3 is only a partial block diagram related to the technical solution of the present disclosure, and does not constitute a limitation of the electronic device to which the solution of the present application is applied, and a specific electronic device may include more or less components than those shown in the drawings, or combine some components, or have a different arrangement of components.
A fourth aspect of the invention discloses a computer-readable storage medium. The computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the steps in a method for dynamically analyzing carbon emissions of a cogeneration system according to any one of the first aspects of the disclosure.
It should be noted that the technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, however, as long as there is no contradiction between the combinations of the technical features, the scope of the present description should be considered. The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not to be construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, and these are all within the scope of protection of the present application. Therefore, the protection scope of the present patent application shall be subject to the appended claims.

Claims (10)

1. A method for dynamically analyzing carbon emissions of a cogeneration system, the method comprising:
s1, inputting boundary conditions of operation of a cogeneration system into a system simulation model to obtain system simulation output data;
s2, calculating the carbon emission of the cogeneration system according to the running boundary condition;
s3, calculating an evaluation index of the cogeneration system according to the carbon emission, the running boundary condition and system simulation output data;
s4, comparing the evaluation index of the cogeneration system with a standard established in the industry, and if the evaluation index of the cogeneration system does not meet the standard established in the industry, optimizing the cogeneration system;
and S5, adjusting the boundary condition of the combined heat and power generation system structure or the system simulation model, and repeating the steps S1 to S4 to optimize the combined heat and power generation system.
2. The method for dynamically analyzing carbon emissions of a cogeneration system according to claim 1, wherein in said step S1, said operational boundary conditions comprise: fuel type, fuel composition, fuel price, fuel lower heating value, carbon content per unit heating value of fuel, total fuel consumption and electric power;
the system simulation output data comprises: net output electric quantity in system simulation time, effective heat supply total quantity in system simulation time, effective cold supply total quantity in system simulation time and total gas consumption in system simulation time.
3. The method for dynamically analyzing carbon emissions of a cogeneration system according to claim 2, wherein in step S2, the method for calculating carbon emissions of a cogeneration system according to the boundary conditions of operation comprises:
Figure FDA0004021200010000011
Figure FDA0004021200010000012
wherein, C T To carbon emission, C i Cumulative carbon emissions for model i over simulation time, E Burning of For modeling the instantaneous carbon emissions of fossil fuels, E Outsourcing power The model electric instantaneous carbon emission;
E burning of =∑ ij WC i,j ×HU i,j ×CC j ×α j ×ρ·ΔT;
Wherein, WC i,j HU being the total fuel consumption of fossil fuels i,j Fuel low calorific value, CC, of fossil fuel j j Carbon content per unit calorific value, alpha, of fossil fuel j j The carbon oxidation rate of fossil fuel j is shown, rho is the ratio of carbon dioxide to the molecular weight of carbon, i is a unit process, j is a fuel type, and delta T is a simulation unit step length;
E outsourcing power =P E ×EF Electricity ·ΔT;
Wherein, P E To be electrical power, EF Electric power Is the power dissipation factor of the power consuming unit process.
4. The method for dynamically analyzing carbon emissions of a cogeneration system according to claim 3, wherein in said step S3, said cogeneration system evaluation index comprises: carbon emission of unit product, comprehensive utilization rate of energy and operation cost of unit product.
5. The method for dynamically analyzing carbon emissions of a cogeneration system according to claim 4, wherein in said step S3, the method for calculating carbon emissions per unit product based on said carbon emissions, operational boundary conditions and system simulation output data comprises:
carbon emissions per unit product include: the method comprises the following steps of (1) carbon emission of system unit heat, carbon emission of system unit power supply, carbon emission of system unit cold supply and carbon emission of system unit heat supply;
carbon emission per unit heat of the system
Figure FDA0004021200010000021
Carbon emission of said system unit power supply
Figure FDA0004021200010000022
Unit cooling carbon emission of the system
Figure FDA0004021200010000023
Carbon emission per unit heat supply of the system
Figure FDA0004021200010000024
Wherein, W T Carbon emission per unit heat of the system, W TE Supply of carbon emissions, W, to system units TC For the system unit cooling carbon emission, W TH Supplying heat and carbon emission to a system unit; q E For net output of electrical quantity, Q, in system simulation time C For the total amount of effective heat supply, Q, in the system simulation time H The total amount of effective cooling in the system simulation time is obtained.
6. The method for dynamically analyzing carbon emissions of a cogeneration system according to claim 4, wherein in said step S3, the method for calculating the energy integrated utilization based on said carbon emissions, operational boundary conditions and system simulation output data comprises:
Figure FDA0004021200010000031
Figure FDA0004021200010000032
wherein eta is T The average energy comprehensive utilization rate, eta, of the simulation time period system Te For simulating the power generation efficiency of the time slot system, Q E For net output of electrical quantity, Q, in system simulation time C For the total amount of effective heat supply, Q, in the system simulation time H The total amount of effective cooling in the system simulation time, HU is the low-level heating value of the fuel, and B is the total gas consumption in the system simulation time.
7. The method for dynamically analyzing carbon emissions of a cogeneration system according to claim 4, wherein in said step S3, the method for calculating the operating cost per product based on said carbon emissions, operating boundary conditions and system simulation output data comprises:
unit heat cost of system
Figure FDA0004021200010000033
Cost of power supply per unit of system
Figure FDA0004021200010000034
System unit cooling cost
Figure FDA0004021200010000035
Cost of heat supply per unit of system
Figure FDA0004021200010000036
Wherein,X T For the unit heat cost of the system, X TE Cost of power supply to the system unit, X TC Cost of cooling for the system unit, X TH For the unit heating cost of the system, Q E For net output of electrical quantity, Q, in system simulation time c For the total amount of heat supplied, Q, in the system simulation time H For the total amount of available cooling, P, in the system simulation time T The system operating cost;
P T =P R +P M
wherein, P R As a cost of fuel, P M A cost for system maintenance;
Figure FDA0004021200010000037
wherein Q is i Total energy supply for the ith equipment year, mc i Maintenance cost for the ith equipment;
P R =P gas +P E +P W
wherein, P gas For gas costs, P E For electricity charge, P w The cost of water is.
8. A carbon emission dynamic analysis system for a cogeneration system, the system comprising:
a first processing module configured to input boundary conditions of operation consumed by the cogeneration system into the system simulation model to obtain system simulation output data;
a second processing module configured to calculate carbon emissions of the cogeneration system according to the operational boundary conditions;
the third processing module is configured to calculate a cogeneration system evaluation index according to the carbon emission, the running boundary condition and system simulation output data;
a fourth processing module, configured to apply the co-generation system evaluation index to compare with a standard established in the industry, and if the co-generation system evaluation index does not meet the standard established in the industry, the co-generation system needs to be optimized;
and the fifth processing module is configured to adjust the boundary conditions of the cogeneration system structure or the system simulation model, repeat the first processing module to the fourth processing module, and optimize the cogeneration system.
9. An electronic device, comprising a memory storing a computer program and a processor, wherein the processor implements the steps of the method for dynamically analyzing carbon emissions of a cogeneration system of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when being executed by a processor, the computer program implements the steps of the method for dynamically analyzing carbon emissions of a cogeneration system of any one of claims 1 to 7.
CN202211691274.0A 2022-12-27 2022-12-27 Method and system for dynamically analyzing carbon emission of cogeneration system Pending CN115935690A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117408435A (en) * 2023-11-29 2024-01-16 浙江浙能兴源节能科技有限公司 Full life cycle carbon footprint accounting method for sludge cogeneration
CN117688277A (en) * 2024-01-31 2024-03-12 国网上海能源互联网研究院有限公司 Electric energy and heat energy carbon flow distribution calculation method and device for cogeneration system

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117408435A (en) * 2023-11-29 2024-01-16 浙江浙能兴源节能科技有限公司 Full life cycle carbon footprint accounting method for sludge cogeneration
CN117408435B (en) * 2023-11-29 2024-03-12 浙江浙能兴源节能科技有限公司 Full life cycle carbon footprint accounting method for sludge cogeneration
CN117688277A (en) * 2024-01-31 2024-03-12 国网上海能源互联网研究院有限公司 Electric energy and heat energy carbon flow distribution calculation method and device for cogeneration system
CN117688277B (en) * 2024-01-31 2024-04-16 国网上海能源互联网研究院有限公司 Electric energy and heat energy carbon flow distribution calculation method and device for cogeneration system

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