CN115935690A - A method and system for dynamic analysis of carbon emissions in cogeneration systems - Google Patents

Abstract

The invention proposes a dynamic analysis method and system for carbon emission of a cogeneration system. Wherein, the method includes: inputting the boundary conditions of cogeneration system operation into the system simulation model to obtain system simulation output data; calculating the carbon emission of the cogeneration system according to the boundary conditions of operation; calculating the carbon emission of the cogeneration system according to the carbon emission, Calculate the cogeneration system evaluation index based on the operating boundary conditions and system simulation output data; apply the cogeneration system evaluation index and compare it with the standards established in the industry, if the cogeneration system evaluation index does not meet the standards established in the industry , then the combined heat and power system needs to be optimized; adjust the structure of the combined heat and power system or the boundary conditions of the system simulation model, repeat the above steps, and optimize the combined heat and power system. The solution proposed by the invention combines product carbon emission accounting with evaluation indicators to realize scientific judgment and analysis of carbon emission optimization routes.

Description

A method and system for dynamic analysis of carbon emissions from a combined heat and power system

Technical Field

The present invention belongs to the field of energy, and in particular relates to a method and system for dynamic analysis of carbon emissions from a cogeneration system.

Background Art

It is particularly important to accurately obtain carbon emission information during the consumption process. As the largest emission sector in my country, the power and energy supply industry has become one of the key emission reduction areas. The implicit carbon emissions in the power and energy supply industry have led to an underestimation of actual emissions. Moreover, the conventional carbon emission accounting cycle is calculated on an annual basis. It is impossible to actually analyze and diagnose the actual carbon emission level of the energy production system under different working conditions. Because the equipment efficiency of the energy production system under different working conditions varies greatly. At present, energy supply companies use electricity in the production process. There is great confusion about how to upgrade and optimize the carbon emission level of energy products such as steam to further meet the requirements of green supply chains and low-carbon products, and it is impossible to quickly meet the low-carbon requirements of the whole society.

The publication number of "A Carbon Footprint Accounting Model for a Product and a Method for Building a Service Platform" is CN114819997A, which discloses a carbon footprint accounting model for a product and a method for building a service platform, including: the platform inputs the product to be accounted for, as well as the field data and background data of the product at various stages through the data receiving end; relying on the carbon footprint accounting basic database in the green and low-carbon industry map, the various greenhouse gas emissions of the product throughout its life cycle are calculated; after the calculation is completed, the calculated field data and the collected background data are verified, and then the calculation process and the carbon footprint declaration report are reviewed; after the verification and review are passed, a carbon footprint declaration report and/or a carbon footprint certificate is issued.

At present, the design method of carbon emission calculation simulation platform mainly studies the current level of carbon footprint in the production process. For the energy supply system in the production link, only static data calculation is done, without in-depth analysis of its working principle and energy efficiency improvement space. Calculating the long-term carbon emission level based on the final energy consumption cannot reveal the most relevant problems in the system operation process.

Summary of the invention

In order to solve the above technical problems, the present invention proposes a technical solution of a dynamic analysis method of carbon emissions from a cogeneration system to solve the above technical problems.

The first aspect of the present invention discloses a method for dynamic analysis of carbon emissions from a cogeneration system, the method comprising:

Step S1, inputting the boundary conditions of the cogeneration system into the system simulation model to obtain system simulation output data;

Step S2, calculating the carbon emissions of the cogeneration system according to the boundary conditions of the operation;

Step S3, calculating the cogeneration system evaluation index according to the carbon emissions, operating boundary conditions and system simulation output data;

Step S4: Compare the cogeneration system evaluation index with the industry-developed standard. If the cogeneration system evaluation index does not meet the industry-developed standard, the cogeneration system needs to be optimized.

Step S5: adjust the cogeneration system structure or the boundary conditions of the system simulation model, and repeat steps S1 to S4 to optimize the cogeneration system.

According to the method of the first aspect of the present invention, in step S1, the boundary conditions of the operation include: fuel type, fuel composition, fuel price, fuel low calorific value, fuel unit calorific value carbon content, total fuel consumption and electric power;

The system simulation output data includes: net power output during the system simulation time, total effective heating during the system simulation time, total effective cooling during the system simulation time, and total gas consumption during the system simulation time.

According to the method of the first aspect of the present invention, in step S2, the method for calculating the carbon emissions of the cogeneration system according to the boundary conditions of the operation includes:

Among them, _CT is carbon emissions, _Ci is the cumulative carbon emissions of model i during the simulation time, _Ecombustion is the instantaneous carbon emissions of the model fossil fuel, and _{Epurchased electricity} is the instantaneous carbon emissions of the model electricity;

_Eburn = ∑ _i ∑ _j WC _{i, j ×} HU _i , _j × CC _j × α _j × ρ·ΔT;

Wherein, WC _i,j is the total fuel consumption of fossil fuel, HU _i,j is the fuel lower calorific value of fossil fuel j, CC _j is the carbon content of the fuel unit calorific value of fossil fuel j, α _j is the carbon oxidation rate of fossil fuel j, ρ is the ratio of the molecular weight of carbon dioxide to carbon, i is the unit process, j is the fuel type, and ΔT is the simulation unit step size;

E _{purchased electricity} = _PE × EF _electricity ·ΔT;

Among them, _PE is electric power and EF _is the electricity emission factor of the electricity consumption unit process.

According to the method of the first aspect of the present invention, in step S3, the evaluation indexes of the cogeneration system include: carbon emission per unit product, comprehensive energy utilization rate and operating cost per unit product.

According to the method of the first aspect of the present invention, in step S3, the method for calculating the carbon emissions per unit product according to the carbon emissions, the boundary conditions of the operation and the system simulation output data includes:

Carbon emissions per unit product include: carbon emissions per unit heat of the system, carbon emissions per unit power supply of the system, carbon emissions per unit cooling of the system, and carbon emissions per unit heating of the system;

The system's carbon emissions per unit heat

System unit power supply carbon emissions

Carbon emissions per unit of cooling system

Carbon emissions per unit of heating in the system

Among them, _WT is the system unit heat carbon emission, _WTE is the system unit power supply carbon emission, _WTC is the system unit cooling carbon emission, _WTH is the system unit heating carbon emission; _QE is the net output power of the system during the simulation time, _QC is the total effective heating amount during the simulation time, and _QH is the total effective cooling amount during the simulation time.

According to the method of the first aspect of the present invention, in step S3, the method for calculating the comprehensive energy utilization rate according to the carbon emissions, the operating boundary conditions and the system simulation output data includes:

Among them, η _T is the average comprehensive energy utilization rate of the system during the simulation period, η _Te is the power generation efficiency of the system during the simulation period, Q _E is the net output power of the system during the simulation time, Q _C is the total effective heating supply during the system simulation time, Q _H is the total effective cooling supply during the system simulation time, HU is the low calorific value of the fuel, and B is the total gas consumption during the system simulation time.

According to the method of the first aspect of the present invention, in step S3, the method for calculating the unit product operating cost according to the carbon emissions, operating boundary conditions and system simulation output data includes:

System unit heat cost

System unit power supply cost

System unit cooling cost

System unit heating cost

Among them, X _T is the unit heat cost of the system, X _TE is the unit power supply cost of the system, X _TC is the unit cooling cost of the system, X _TH is the unit heating cost of the system, Q _E is the net output power of the system during the simulation time, Q _C is the total effective heating amount during the simulation time, Q _H is the total effective cooling amount during the simulation time, and _PT is the system operation cost;

_PT = _PR + _PM ;

Among them, _PR is the fuel cost, _PM is the system maintenance cost;

Among them, _Qi is the total annual energy supply of the i-th equipment, and mc _i is the maintenance cost of the i-th equipment;

_PR = _Pgas + _PE + _PW ;

Among them, P _gas is the gas fee, _PE is the electricity fee, and P _W is the water fee.

The second aspect of the present invention discloses a carbon emission dynamic analysis system for a cogeneration system, the system comprising:

A first processing module is configured to input the boundary conditions of the operation consumed by the cogeneration system into the system simulation model to obtain system simulation output data;

A second processing module is configured to calculate the carbon emissions of the cogeneration system according to the boundary conditions of the operation;

A third processing module is configured to calculate a cogeneration system evaluation index according to the carbon emissions, the operating boundary conditions and the system simulation output data;

A fourth processing module is configured to compare the cogeneration system evaluation index with the industry-developed standard. If the cogeneration system evaluation index does not meet the industry-developed standard, the cogeneration system needs to be optimized.

The fifth processing module is configured to adjust the cogeneration system structure or the boundary conditions of the system simulation model, and repeat the first processing module to the fourth processing module to optimize the cogeneration system.

The third aspect of the present invention discloses an electronic device. The electronic device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps in any one of the methods for dynamic analysis of carbon emissions of a cogeneration system in the first aspect of the present disclosure are implemented.

The fourth aspect of the present invention discloses a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any one of the methods for dynamic analysis of carbon emissions of a cogeneration system in the first aspect of the present disclosure are implemented.

The solution proposed in this invention combines product carbon emission accounting with evaluation indicators to achieve scientific judgment and analysis of carbon emission optimization routes, and proposes an optimization iterative feedback mechanism based on system diagnosis results, which can establish a green and low-carbon development route based on feedback results. The simulation system is evaluated and diagnosed based on excellent cases and indicators in the industry. The simulation structure is optimized based on the evaluation and diagnosis suggestions.

BRIEF DESCRIPTION OF THE DRAWINGS

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

FIG1 is a flow chart of a method for dynamic analysis of carbon emissions from a cogeneration system according to an embodiment of the present invention;

FIG2 is a structural diagram of a carbon emission dynamic analysis system for a cogeneration system according to an embodiment of the present invention;

FIG. 3 is a structural diagram of an electronic device according to an embodiment of the present invention.

DETAILED DESCRIPTION

In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

The first aspect of the present invention discloses a method for dynamic analysis of carbon emissions from a cogeneration system. FIG1 is a flow chart of a method for dynamic analysis of carbon emissions from a cogeneration system according to an embodiment of the present invention. As shown in FIG1 , the method comprises:

Step S1, inputting the boundary conditions of the operation consumed by the cogeneration system into the system simulation model to obtain system simulation output data;

Step S2, calculating the carbon emissions of the cogeneration system according to the boundary conditions of the operation;

Step S3, calculating the cogeneration system evaluation index according to the carbon emissions, operating boundary conditions and system simulation output data;

Step S4: Compare the cogeneration system evaluation index with the industry-developed standard. If the cogeneration system evaluation index does not meet the industry-developed standard, the cogeneration system needs to be optimized.

Step S5: adjust the cogeneration system structure or the boundary conditions of the system simulation model, and repeat steps S1 to S4 to optimize the cogeneration system.

In step S1, the boundary conditions of the operation consumed by the cogeneration system are input into the system simulation model to obtain system simulation output data.

In some embodiments, in step S1, the boundary conditions of the operation include: fuel type, fuel composition, fuel price, fuel low calorific value, fuel unit calorific value carbon content, total fuel consumption and electric power;

The system simulation output data includes: net power output during the system simulation time, total effective heating during the system simulation time, total effective cooling during the system simulation time, and total gas consumption during the system simulation time.

In step S2, the carbon emissions of the cogeneration system are calculated according to the boundary conditions of the operation.

In some embodiments, in step S2, the carbon emissions of the cogeneration system are the sum of the carbon emissions of all models in the system. The carbon emissions of the cogeneration system include direct emissions from the combustion of fossil fuels in the system and indirect emissions from the purchase of electricity from the power grid, and the calculation methods of the two are respectively the total energy consumption multiplied by the corresponding emission factor. The default value of the carbon emission factor is the factor library of relevant national standards, and the specific value of the factor can also be modified according to the value obtained by direct measurement or calculated by energy balance, material balance and other methods.

The method for calculating the carbon emissions of the cogeneration system according to the boundary conditions of the operation includes:

Among them, _CT is carbon emission, in kilograms of carbon dioxide equivalent (kgCO2e); _Ci is the cumulative carbon emission of model i during the simulation time, in kilograms of carbon dioxide equivalent (kgCO2e); _Ecombustion is the instantaneous carbon emission of fossil fuels in the model, in tons of carbon dioxide equivalent (tCO2e); _{Epurchased electricity} is the instantaneous carbon emission of model electricity, in tons of carbon dioxide equivalent (tCO2e);

E _combustion =∑ _i ∑ _j WC _{i, j} ×HU _{i, j} ×CC _j ×α _j ×ρ·ΔT;

Wherein, WC _i,j is the total fuel consumption of fossil fuels, the unit for solid and liquid fuels is kilogram (kg/s), and the unit for gaseous fuels is standard cubic meter (Nm ³ /s); HU _i,j is the fuel lower calorific value of fossil fuel j, the unit for solid and liquid fuels is megajoule/kilogram (MJ/kg), and the unit for gaseous fuel is megajoule/ten thousand standard cubic meter (MJ/Nm ³ ); CC _j is the carbon content of the fuel unit calorific value of fossil fuel j, the unit is kilogram carbon/megajoule (kgC/MJ); α _j is the carbon oxidation rate of fossil fuel j, the unit is percentage (%); ρ is the ratio of the molecular weight of carbon dioxide to carbon, the value is 44/12; i is the unit process, j is the fuel type, ΔT is the simulation unit step;

E _{purchased electricity} = _PE × EF _electricity ·ΔT;

Where _PE is electric power in kilowatts (kW); EF _is the electricity emission factor for the electricity consumption unit process in kgCO2e/kWh.

In step S3, the evaluation index of the cogeneration system is calculated according to the carbon emissions, the operating boundary conditions and the system simulation output data.

In some embodiments, in step S3, the cogeneration system evaluation indicators include: carbon emissions per unit product, comprehensive energy utilization rate and unit product operating cost.

The method for calculating the carbon emissions per unit product according to the carbon emissions, the boundary conditions of the operation and the system simulation output data includes:

Carbon emissions per unit product include: carbon emissions per unit heat of the system, carbon emissions per unit power supply of the system, carbon emissions per unit cooling of the system, and carbon emissions per unit heating of the system;

The system's carbon emissions per unit heat

System unit power supply carbon emissions

Carbon emissions per unit of cooling system

Carbon emissions per unit of heating in the system

Among them, _WT is the system unit heat carbon emission, in kg/kWh; _WTE is the system unit power supply carbon emission, in kg/kWh; _WTC is the system unit cooling carbon emission, in kg/kWh; _WTH is the system unit heating carbon emission, in kg/kWh; _QE is the net output power of the system during the simulation time, in kWh; _QC is the total effective heating amount during the simulation time of the system, in kWh; _QH is the total effective cooling amount during the simulation time of the system, in kWh.

The method for calculating the comprehensive energy utilization rate according to the carbon emissions, the boundary conditions of the operation and the system simulation output data includes:

Among them, η _T is the average comprehensive energy utilization rate of the system during the simulation period, η _Te is the power generation efficiency of the system during the simulation period, Q _E is the net output power of the system during the simulation time, Q _C is the total effective heating supply during the system simulation time, Q _H is the total effective cooling supply during the system simulation time, HU is the low calorific value of the fuel, and B is the total gas consumption during the system simulation time.

The method for calculating the unit product operating cost according to the carbon emissions, operating boundary conditions and system simulation output data includes:

System unit heat cost

System unit power supply cost

System unit cooling cost

System unit heating cost

Among them, X _T is the unit heat cost of the system, X _TE is the unit power supply cost of the system, X _TC is the unit cooling cost of the system, X _TH is the unit heating cost of the system, Q _E is the net output power of the system during the simulation time, Q _C is the total effective heating amount during the simulation time, Q _H is the total effective cooling amount during the simulation time, and _PT is the system operation cost;

_PT = _PR + _PM ;

Among them, _PR is the fuel cost, _PM is the system maintenance cost;

Among them, _Qi is the total annual energy supply of the i-th equipment, and mc _i is the maintenance cost of the i-th equipment;

_PR = _{Pgas + PE} + _PW ;

Among them, P _gas is the gas fee, _PE is the electricity fee, and P _W is the water fee.

In some embodiments,

Among them, W _gas (t) is the hourly gas consumption, Nm ³ /s; f _g (t) is the gas price function, RMB/m ³ ; _PE (t) is the hourly electric power, kWh; P(i) is the electricity price at time i, RMB/kWh; W _w (t) is the hourly gas consumption, kg/s; f _w (t) is the water price function; ΔT is the simulation unit step.

Specific embodiments

Step S1: Input the boundary conditions of the operation of the cogeneration system into the system simulation model to obtain the system simulation output data, as shown in Table 1, where serial numbers 1-7 are the boundary conditions of the operation of the simulation system, and 8-17 are the output data of the simulation system. 18 and 19 maintenance fees are empirical values.

Table 1

Step S2, calculating the carbon emissions of the cogeneration system according to the boundary conditions of the operation;

C _{gas turbine} = WC _i,j × H _Ui,j × CC _j × α _j × ρ·ΔT + _PE × EF _electric ·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 _{waste heat steam boiler} = _PE × EF _electricity 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.

Step S3, calculating the cogeneration system evaluation index according to the carbon emissions, operating boundary conditions and system simulation output data;

The evaluation indicators of cogeneration system include: carbon emissions per unit product, comprehensive energy utilization rate and unit product operating cost.

System carbon emissions per unit heat:

System unit power supply carbon emissions:

kg CO ₂ /kWh

System unit heating carbon emissions:

kg CO ₂ /kWh

Average comprehensive energy utilization rate of the system during the simulation period:

Fuel costs include gas, electricity and water. The calculation formula is:

_PR = _Pgas + _PE + _PW = 1388.45 + 58.75 + 15.36 = 14.6255 million yuan

Among them, the gas fee is P _gas , the electricity fee is _PE , the water fee is Pw, and _PR is the total fuel cost.

Among them, _Qi is the total annual energy supply of the i-th equipment, and mc _i is the maintenance cost of the i-th equipment;

_PT = _PR + _PM = 1462.55 + 179.47 = 16420200 yuan

Among them, _PR is the fuel cost, _PM is the system maintenance cost;

The products of the cogeneration system are cooling, heating and electricity. The total energy generated by the system is equal to the sum of the heat of the three phases of cooling, heating and electricity supply.

System unit heat cost:

System unit power supply cost:

System unit heating cost:

Step S4: Compare the cogeneration system evaluation index with the industry-developed standard. If the cogeneration system evaluation index does not meet the industry-developed standard, the cogeneration system needs to be optimized.

Specifically, refer to the carbon emission benchmark for heating companies formulated by the Shanghai Ecology and Environment Bureau: the comprehensive heating capacity of gas units in cogeneration systems is 0.6885tCO2/GJ. The calculation result of this embodiment is 0.093tCO2/GJ, and the overall carbon emissions of the system are relatively high. The "Technical Code for Engineering of Distributed Energy Supply Systems" (DG/TJ08-115-2008) states that the total thermal efficiency of distributed energy supply systems should not be less than 70% per year. The calculation result of this embodiment is 62.56%, which is relatively low in efficiency. The cogeneration system needs to be optimized.

Step S5: adjust the cogeneration system structure or the boundary conditions of the system simulation model, repeat steps S1 to S4, simulate and verify the simulation system optimization scheme, and verify the carbon footprint optimization direction.

In summary, the solution proposed in this invention can combine product carbon emission accounting with evaluation indicators, realize scientific judgment and analysis of carbon emission optimization routes, and propose an optimization iterative feedback mechanism based on system diagnosis results, and establish a green and low-carbon development route based on feedback results. Evaluate and diagnose the simulation system based on excellent cases and indicators in the industry. Optimize the simulation structure based on evaluation and diagnosis suggestions.

The second aspect of the present invention discloses a dynamic analysis system for carbon emissions from a cogeneration system. FIG2 is a structural diagram of a dynamic analysis system for carbon emissions from a cogeneration system according to an embodiment of the present invention; as shown in FIG2 , the system 100 includes:

The first processing module 101 is configured to input the boundary conditions of the operation consumed by the cogeneration system into the system simulation model to obtain system simulation output data;

The second processing module 102 is configured to calculate the carbon emissions of the cogeneration system according to the boundary conditions of the operation;

The third processing module 103 is configured to calculate the cogeneration system evaluation index according to the carbon emissions, the operating boundary conditions and the system simulation output data;

The fourth processing module 104 is configured to compare the cogeneration system evaluation index with the industry-developed standard. If the cogeneration system evaluation index does not meet the industry-developed standard, the cogeneration system needs to be optimized.

The fifth processing module 105 is configured to adjust the cogeneration system structure or the boundary conditions of the system simulation model, and repeat the first processing module to the fourth processing module to optimize the cogeneration system.

According to the system of the second aspect of the present invention, the first processing module 101 is specifically configured such that the boundary conditions of the operation include: fuel type, fuel composition, fuel price, fuel low calorific value, fuel unit calorific value carbon content, total fuel consumption and electric power;

The system simulation output data includes: net power output during the system simulation time, total effective heating during the system simulation time, total effective cooling during the system simulation time, and total gas consumption during the system simulation time.

According to the system of the second aspect of the present invention, the second processing module 102 is specifically configured so that the carbon emissions of the cogeneration system are the sum of the carbon emissions of all models in the system. The carbon emissions of the cogeneration system include direct emissions generated by the combustion of fossil fuels in the system and indirect emissions generated by the purchase of electricity from the power grid, and the calculation methods of the two are respectively the total energy consumption multiplied by the corresponding emission factor. The default value of the carbon emission factor is the factor library of relevant national standards, and the specific value of the factor can also be modified according to the value obtained by direct measurement or calculated by energy balance, material balance and other methods.

The method for calculating the carbon emissions of the cogeneration system according to the boundary conditions of the operation includes:

Among them, _CT is carbon emissions, in kilograms of carbon dioxide equivalent (kgCO2e); _Ci is the cumulative carbon emissions of model i during the simulation time, in kilograms of carbon dioxide equivalent (kgCO2e); _Ecombustion is the instantaneous carbon emissions of model fossil fuels, in tons of carbon dioxide equivalent (tCO2e); _{Epurchased electricity} is the instantaneous carbon emissions of model electricity, in tons of carbon dioxide equivalent (tCO2e);

E _combustion =∑ _i ∑ _j WC _{i, j} ×HU _{i, j} ×CC _j ×α _j ×ρ·ΔT;

Wherein, WC _i,j is the total fuel consumption of fossil fuels, the unit for solid and liquid fuels is kilogram (kg/s), and the unit for gaseous fuels is standard cubic meter (Nm ³ /s); HU _i,j is the fuel lower calorific value of fossil fuel j, the unit for solid and liquid fuels is megajoule/kilogram (MJ/kg), and the unit for gaseous fuel is megajoule/ten thousand standard cubic meter (MJ/Nm ³ ); CC _j is the carbon content of the fuel unit calorific value of fossil fuel j, the unit is kilogram carbon/megajoule (kgC/MJ); α _j is the carbon oxidation rate of fossil fuel j, the unit is percentage (%); ρ is the ratio of the molecular weight of carbon dioxide to carbon, the value is 44/12; i is the unit process, j is the fuel type, ΔT is the simulation unit step;

E _{purchased electricity} = _PE × EF _electricity ·ΔT;

Where _PE is electric power in kilowatts (kW); EF _is the electricity emission factor for the electricity consumption unit process in kgCO2e/kWh.

According to the system of the second aspect of the present invention, the third processing module 103 is specifically configured such that the evaluation index of the cogeneration system includes: carbon emission per unit product, comprehensive energy utilization rate and operating cost per unit product.

The method for calculating the carbon emissions per unit product according to the carbon emissions, the boundary conditions of the operation and the system simulation output data includes:

Carbon emissions per unit product include: carbon emissions per unit heat of the system, carbon emissions per unit power supply of the system, carbon emissions per unit cooling of the system, and carbon emissions per unit heating of the system;

The system's carbon emissions per unit heat

System unit power supply carbon emissions

Carbon emissions per unit of cooling system

Carbon emissions per unit of heating in the system

Among them, _WT is the system unit heat carbon emission, in kg/kWh; _WTE is the system unit power supply carbon emission, in kg/kWh; _WTC is the system unit cooling carbon emission, in kg/kWh; _WTH is the system unit heating carbon emission, in kg/kWh; _QE is the net output power of the system during the simulation time, in kWh; _QC is the total effective heating amount during the simulation time of the system, in kWh; _QH is the total effective cooling amount during the simulation time of the system, in kWh.

The method for calculating the comprehensive energy utilization rate according to the carbon emissions, the boundary conditions of the operation and the system simulation output data includes:

Among them, η _T is the average comprehensive energy utilization rate of the system during the simulation period, η _Te is the power generation efficiency of the system during the simulation period, Q _E is the net output power of the system during the simulation time, Q _C is the total effective heating supply during the system simulation time, Q _H is the total effective cooling supply during the system simulation time, HU is the low calorific value of the fuel, and B is the total gas consumption during the system simulation time.

The method for calculating the unit product operating cost according to the carbon emissions, operating boundary conditions and system simulation output data includes:

System unit heat cost

System unit power supply cost

System unit cooling cost

System unit heating cost

Among them, X _T is the unit heat cost of the system, X _TE is the unit power supply cost of the system, X _TC is the unit cooling cost of the system, X _TH is the unit heating cost of the system, Q _E is the net output power of the system during the simulation time, Q _C is the total effective heating amount during the simulation time, Q _H is the total effective cooling amount during the simulation time, and _PT is the system operation cost;

_PT = _PR + PM;

Among them, _PR is the fuel cost, _PM is the system maintenance cost;

Among them, _Qi is the total annual energy supply of the i-th equipment, and mc _i is the maintenance cost of the i-th equipment;

_PR = _{Pgas + PE} + _PW ;

Among them, P _gas is the gas fee, _PE is the electricity fee, and P _w is the water fee.

In some embodiments,

Among them, W _gas (t) is the hourly gas consumption, Nm ³ /s; f _g (t) is the gas price function, RMB/m ³ ; _PE (t) is the hourly electric power, kWh; P(i) is the electricity price at time i, RMB/kWh; W _w (t) is the hourly gas consumption, kg/s; f _w (t) is the water price function; ΔT is the simulation unit step.

The third aspect of the present invention discloses an electronic device. The electronic device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps in the method for dynamic analysis of carbon emissions of a cogeneration system disclosed in any one of the first aspects of the present invention are implemented.

FIG3 is a block diagram of an electronic device according to an embodiment of the present invention. As shown in FIG3 , the electronic device includes a processor, a memory, a communication interface, a display screen, and an input device connected via a system bus. Among them, the processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile 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 operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the electronic device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, an operator network, near field communication (NFC) or other technologies. The display screen of the electronic device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the electronic device can be a touch layer covered on the display screen, or a key, trackball or touchpad provided on the housing of the electronic device, or an external keyboard, touchpad or mouse, etc.

Those skilled in the art will understand that the structure shown in FIG. 3 is merely a structural diagram of the portion related to the technical solution of the present disclosure, and does not constitute a limitation on the electronic device to which the technical solution of the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

The fourth aspect of the present invention discloses a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the method for dynamic analysis of carbon emissions of a cogeneration system disclosed in any one of the first aspects of the present invention are implemented.

Please note that the technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification. The above embodiments only express several implementation methods of the present application, and their descriptions are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that for ordinary technicians in this field, without departing from the concept of the present application, several variations and improvements can be made, which all belong to the scope of protection of the present application. Therefore, the scope of protection of the patent in this application shall be based on the attached 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:

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} ＝∑ _i ∑ _j 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

Carbon emission of said system unit power supply

Unit cooling carbon emission of the system

Carbon emission per unit heat supply of the system

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:

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

Cost of power supply per unit of system

System unit cooling cost

Cost of heat supply per unit of system

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;

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.

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