CN116630108B - Active building operation stage dynamic carbon emission factor measuring and calculating method - Google Patents
Active building operation stage dynamic carbon emission factor measuring and calculating method Download PDFInfo
- Publication number
- CN116630108B CN116630108B CN202310642986.1A CN202310642986A CN116630108B CN 116630108 B CN116630108 B CN 116630108B CN 202310642986 A CN202310642986 A CN 202310642986A CN 116630108 B CN116630108 B CN 116630108B
- Authority
- CN
- China
- Prior art keywords
- build
- building
- carbon emission
- gird
- cons
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 100
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 99
- 238000000034 method Methods 0.000 title claims abstract description 45
- 238000004364 calculation method Methods 0.000 claims abstract description 43
- 238000004146 energy storage Methods 0.000 claims abstract description 38
- 238000009826 distribution Methods 0.000 claims abstract description 33
- 238000005265 energy consumption Methods 0.000 claims abstract description 29
- 238000010248 power generation Methods 0.000 claims abstract description 17
- 230000008569 process Effects 0.000 claims description 16
- 238000010276 construction Methods 0.000 claims description 8
- 230000000694 effects Effects 0.000 description 3
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000000691 measurement method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 229910002092 carbon dioxide Inorganic materials 0.000 description 1
- 239000001569 carbon dioxide Substances 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000008094 contradictory effect Effects 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Social work or social welfare, e.g. community support activities or counselling services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/84—Greenhouse gas [GHG] management systems
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- Data Mining & Analysis (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Human Resources & Organizations (AREA)
- General Business, Economics & Management (AREA)
- General Health & Medical Sciences (AREA)
- Mathematical Physics (AREA)
- Mathematical Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Computational Mathematics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Water Supply & Treatment (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Public Health (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Child & Adolescent Psychology (AREA)
- Operations Research (AREA)
- Life Sciences & Earth Sciences (AREA)
- Algebra (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a method for measuring and calculating dynamic carbon emission factors in the operation stage of an active building, which comprises the steps of firstly measuring and collecting parameters of power generation, energy consumption and energy storage equipment of a user node building, wherein the parameters of the equipment comprise total building output P build,prod Building energy consumption P build,cons SOC, E b Renewable energy source output P renew And non-renewable energy source output P Non‑renew The method comprises the steps of carrying out a first treatment on the surface of the The building total output P is then calculated build,prod And building energy consumption P build,cons Comparing if P build,prod ≥P build,cons Step 3 is carried out; if P build,prod <P build,cons Step 4 is carried out; according to the invention, by acquiring the building power generation or energy consumption data and the power distribution network node data and combining the real-time carbon emission factors of the power distribution network according to the building operation condition, the building carbon emission factors are calculated, the unification of the calculation of the power distribution network and the building carbon emission factors is effectively realized, the index efficacy and the real utility of the obtained building carbon emission factors are ensured, and the method is suitable for being widely popularized and used.
Description
Technical Field
The invention relates to the technical field of building carbon emission factor measurement and calculation, in particular to a dynamic carbon emission factor measurement and calculation method in an active building operation stage.
Background
The carbon emission factor refers to the carbon dioxide emission produced by unit energy or unit activity, is used for measuring the contribution degree of different energy sources or activities to climate change, and is an important index for evaluating and comparing the carbon emission level. The building carbon emission factor is an important index for measuring the building carbon emission intensity and the energy-saving and low-carbon utility.
At present, the following two problems exist in the building carbon emission factor calculation method used in the existing building energy-saving control algorithm:
1. the calculation of the power distribution network and the construction carbon emission factors cannot be unified, the influence of the carbon potential of each node of the rest of the power distribution network on the construction carbon emission of the measuring node is not considered in the calculation of the construction carbon emission factors, and meanwhile, the influence of the construction carbon emission change of the measuring node on the distribution of the carbon flow of the rest of the nodes of the power distribution network is not considered; the method is characterized in that the calculation formulas of the distribution network and the building carbon emission factors are mutually independent, the method is not suitable for the current situation of high permeability of the distributed energy of the current distribution network, and the calculation of the renewable energy part cannot be self-consistent.
2. The repeated calculation problem exists when the building power generation and the user use energy are used for calculating the carbon emission of the energy, the building added with the distributed energy can possibly have the condition of pouring the distributed energy, and the node identity can be flexibly changed according to the power generation power and the power consumption power; the building can be a single consumer, a single producer and a production, so that the original building carbon emission factor calculation has defects, the consumer is not considered in the bearing of carbon emission responsibility, the building power generation internet surfing and the user energy consumption are not contradictory, and the original building carbon emission factor has a repeated calculation problem.
The problems can influence the accuracy of the carbon emission factors of the building, and influence the design and arrangement of energy-saving energy utilization strategies of the building; therefore, it is necessary to design a method for measuring and calculating the dynamic carbon emission factor in the operation phase of the active building.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides a dynamic carbon emission factor measuring and calculating method in the operation stage of an active building, which realizes the unification of the calculation of the carbon emission factors of the power distribution network and the building and ensures the index efficacy and the actual utility of the obtained carbon emission factors of the building, so as to better solve the problems that the unification of the calculation of the carbon emission factors of the power distribution network and the building cannot be realized at present and the repeated calculation exists when the energy carbon emission is calculated for the building power generation and the user.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
a method for measuring and calculating dynamic carbon emission factors in the operation stage of an active building comprises the following steps,
step (a)1, measuring and collecting parameters of user node building power generation, energy consumption and energy storage equipment, wherein the parameters of the equipment comprise building total output P build,prod Building energy consumption P build,cons SOC, E b Renewable energy source output P renew And non-renewable energy source output P Non-renew ；
Step 2, building total output P build,prod And building energy consumption P build,cons Comparing if P build,prod ≥P build,cons Step 3 is carried out; if P build,prod <P build,cons Step 4 is carried out;
step 3, the energy storage state of charge SOC and the energy storage state of charge upper limit SOC are obtained max Comparing if SOC<SOC max Step 5 is carried out; if SOC is greater than or equal to SOC max Step 6 is carried out;
step 4, the energy storage state of charge SOC and the energy storage state of charge lower limit SOC min Comparing if SOC>SOC min Step 7 is carried out; if SOC is less than or equal to SOC min Step 8 is carried out;
step 5, calculating the energy storage input power P ES,in Calculating the total building output P build,prod And building energy consumption P build,cons The difference and the stored energy input power P ES,in Comparing if P build,prod -P build,cons >P ES,in Step 9 is carried out; if P build,prod -P build,cons ≤P ES,in Step 10 is performed;
step 6, calculating the total building output P build,prod And building energy consumption P build,cons The difference is further based on P gird ＝P build,prod -P build,cons Calculating node grid-connected power P gird And setting a node grid-connected carbon emission factor e gird,connect =0, followed by step 13;
step 7, calculating the energy storage output power P ES,out Then calculate the building energy consumption P build,cons Total building output P build,prod And the difference is combined with the energy storage output power P ES,out A comparison is made with respect to the number of the cells,if P build,cons -P build,prod >P ES,out Step 11 is performed; if P build,cons -P build,prod ≤P ES,out Step 12 is performed;
step 8, calculating the total building output P build,prod And building energy consumption P build,cons And according to P gird ＝-(P build,prod -P build,cons ) Calculating node grid-connected power P gird Recalculating node grid-connected carbon emission factor e gird,connect Step 13 is then carried out;
step 9, calculating node grid-connected power P gird Resetting node grid-connected carbon emission factor e gird,connect =0, followed by step 13;
step 10, setting node grid-connected power P gird =0 and node grid-connected carbon emission factor e gird,connect =0, followed by step 13;
step 11, calculating node grid-connected power P gird Recalculating node grid-connected carbon emission factor e gird,connect Step 13 is then carried out;
step 12, setting node grid-connected power P gird =0, recalculate node grid-connected carbon emission factor e gird,connect Step 13 is then carried out;
and 13, calculating the CEF of the building carbon emission factor, and finishing the operation of calculating the building carbon emission factor.
The method for measuring and calculating the dynamic carbon emission factor in the operation stage of the active building comprises the step 5 of storing energy input power P ES,in The calculation process of (1) is shown in the formula (1),
wherein,and delta t is the charging time, which is the maximum input power of the energy storage device.
An active building operation as described abovePhase dynamic carbon emission factor measuring and calculating method, and energy storage output power P in step 7 ES,out The calculation process of (2) is shown in the formula,
wherein,and delta t is discharge time, which is the maximum output power of the energy storage device.
The method for measuring and calculating the dynamic carbon emission factor in the operation stage of the active building comprises the steps of 8, 11 and 12, wherein the node is connected with the carbon emission factor e gird,connect The calculation process is shown in the formula (3),
wherein a is the number of all renewable energy generators in the power distribution network, b is the number of all non-renewable energy generators in the power distribution network, c is the number of user nodes in the power distribution network, e Province To save carbon emission factor, P blance Node power is balanced for the first of the distribution network.
The method for measuring and calculating the dynamic carbon emission factor in the operation stage of the active building comprises the step 9 of node grid-connected power P gird The calculation process is shown in the formula (4),
wherein,allowing nodes to send the upper power limit back to the distribution network.
The method for measuring and calculating the dynamic carbon emission factor in the operation stage of the active building comprises the step 11 of node grid-connected power P gird The calculation process is shown in the formula (5),
P gird ＝P build,cons -P build,prod -P ES,out (5)。
in the method for measuring and calculating the dynamic carbon emission factor in the operation stage of the active building, the calculation process of the CEF of the building carbon emission factor in the step 13 is shown in a formula (6),
wherein n is the number of renewable energy generators of a certain node, and m is the number of non-renewable energy generators of a certain node.
The beneficial effects of the invention are as follows:
(1) The invention realizes the unification of calculation of the power distribution network and the building carbon emission factor, and the self-consistency of calculation after the renewable energy part is on line is realized because the new energy/non-new energy power generation on line affects the whole carbon emission factor of the power distribution network at the moment and the whole carbon emission factor of the power distribution network affects the building carbon emission factor using the commercial power.
(2) The invention solves the problem that repeated calculation exists when building power generation and Internet surfing and users can calculate energy carbon emission, and the identity real-time conversion of the building added with distributed energy in a power distribution network can be fully considered through judging the running condition of the building, and the corresponding parameter calculation formula and parameter setting are corrected, so that the carbon emission responsibility is born by the building of a consumer rather than the building of a producer, the problem that the repeated calculation exists in the original building carbon emission factor is solved, and the index efficacy and the actual utility of the building carbon emission factor obtained by using the building carbon emission factor calculation method are ensured.
Drawings
FIG. 1 is an overall flow chart of the present invention;
FIG. 2 is a schematic diagram of the construction carbon emission factor CEF calculation principle of the present invention;
FIG. 3 is a graph showing the comparison of the measurement results of the method for measuring and calculating the carbon emission factor of the building according to the present invention with those of other conventional methods for measuring and calculating the carbon emission factor.
Detailed Description
The invention will be further described with reference to the drawings.
As shown in fig. 1 and 2, the method for measuring and calculating the dynamic carbon emission factor in the operation phase of the active building according to the present invention comprises the following steps,
step 1, measuring and collecting parameters of power generation, energy consumption and energy storage equipment of a user node building, wherein the parameters of the equipment comprise total building output P build,prod Building energy consumption P build,cons SOC, E b Renewable energy source output P renew And non-renewable energy source output P Non-renew ；
Step 2, building total output P build,prod And building energy consumption P build,cons Comparing if P build,prod ≥P build,cons Step 3 is carried out; if P build,prod <P build,cons Step 4 is carried out;
step 3, the energy storage state of charge SOC and the energy storage state of charge upper limit SOC are obtained max Comparing if SOC<SOC max Step 5 is carried out; if SOC is greater than or equal to SOC max Step 6 is carried out;
step 4, the energy storage state of charge SOC and the energy storage state of charge lower limit SOC min Comparing if SOC>SOC min Step 7 is carried out; if SOC is less than or equal to SOC min Step 8 is carried out;
step 5, calculating the energy storage input power P ES,in Calculating the total building output P build,prod And building energy consumption P build,cons The difference and the stored energy input power P ES,in Comparing if P build,prod -P build,cons >P ES,in Step 9 is carried out; if P build,prod -P build,cons ≤P ES,in Step 10 is performed;
in step 5, the energy storage input power P ES,in The calculation process of (1) is shown in the formula (1),
wherein,and delta t is the charging time, which is the maximum input power of the energy storage device.
Step 6, calculating the total building output P build,prod And building energy consumption P build,cons The difference is further based on P gird ＝P build,prod -P build,cons Calculating node grid-connected power P gird And setting a node grid-connected carbon emission factor e gird,connect =0, followed by step 13;
step 7, calculating the energy storage output power P ES,out Then calculate the building energy consumption P build,cons Total building output P build,prod And the difference is combined with the energy storage output power P ES,out Comparing if P build,cons -P build,prod >P ES,out Step 11 is performed; if P build,cons -P build,prod ≤P ES,out Step 12 is performed;
energy storage output power P in step 7 ES,out The calculation process of (2) is shown in the formula,
wherein,and delta t is discharge time, which is the maximum output power of the energy storage device.
Step 8, calculating the total building output P build,prod And building energy consumption P build,cons And according to P gird ＝-(P build,prod -P build,cons ) Calculating node grid-connected power P gird Recalculating node grid-connected carbon emission factor e gird,connect Step 13 is then carried out;
step 8, step 11 and step 12 node grid-connected carbon emission factor e gird,connect The calculation process is as formula%3) As shown in the drawing,
wherein a is the number of all renewable energy generators in the power distribution network, b is the number of all non-renewable energy generators in the power distribution network, c is the number of user nodes in the power distribution network, e Province To save carbon emission factor, P blance Node power is balanced for the first of the distribution network.
Step 9, calculating node grid-connected power P gird Resetting node grid-connected carbon emission factor e gird,connect =0, followed by step 13;
in step 9, node grid-connected power P gird The calculation process is shown in the formula (4),
wherein,allowing nodes to send the upper power limit back to the distribution network.
Step 10, setting node grid-connected power P gird =0 and node grid-connected carbon emission factor e gird,connect =0, followed by step 13;
step 11, calculating node grid-connected power P gird Recalculating node grid-connected carbon emission factor e gird,connect Step 13 is then carried out;
node grid-connected power P in step 11 gird The calculation process is shown in the formula (5),
P gird ＝P build,cons -P build,prod -P ES,out (5)。
step 12, setting node grid-connected power P gird =0, recalculate node grid-connected carbon emission factor e gird,connect Step 13 is then carried out;
and 13, calculating the CEF of the building carbon emission factor, and finishing the operation of calculating the building carbon emission factor.
The construction carbon emission factor CEF calculation in step 13 is shown in formula (6),
wherein n is the number of renewable energy generators of a certain node, and m is the number of non-renewable energy generators of a certain node.
To better illustrate the effect of the present invention, a specific embodiment of the present invention is described below;
the embodiment selects the power generation and utilization data of a building, the building is provided with photovoltaic power generation equipment and energy storage equipment, and the parameters of the power generation, the energy utilization and the energy storage equipment of the building are measured and collected, wherein the parameters of the equipment comprise the total output P of the building build,prod Building energy consumption P build,cons SOC, E b Non-renewable energy source output P renew And renewable energy source output P Non-renew 。
As shown in fig. 3, a graph is shown comparing the calculation results of the construction carbon emission measurement method according to the present invention with those of other methods. From comparison results, the carbon emission factor calculation method adopted by the invention considers the influence of new energy power generation in the building more reasonably, and the carbon emission factor obtained by the invention does not have a negative value in the new energy output peak period.
In summary, according to the method for measuring and calculating the dynamic carbon emission factor in the active building operation stage, the building power generation or energy consumption data and the power data of the balance nodes of the power distribution network are obtained, the real-time carbon emission factor of the power distribution network is combined according to the building operation condition, and then the building carbon emission factor is calculated, so that the unification of calculation of the power distribution network and the building carbon emission factor is effectively realized, the problem that the repeated calculation exists when the building power generation is connected with the Internet and the energy consumption of a user is used for calculating the energy carbon emission is solved, and the index efficacy and the actual utility of the obtained building carbon emission factor are ensured.
The foregoing has outlined and described the basic principles, features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (5)
1. A method for measuring and calculating dynamic carbon emission factors in the operation stage of an active building is characterized by comprising the following steps of: comprises the steps of,
step 1, measuring and collecting parameters of power generation, energy consumption and energy storage equipment of a user node building, wherein the parameters of the equipment comprise total building output P build,prod Building energy consumption P build,cons SOC, E b Renewable energy source output P renew And non-renewable energy source output P Non-renew ；
Step 2, building total output P build,prod And building energy consumption P build,cons Comparing if P build,prod ≥P build,cons Step 3 is carried out; if P build,prod <P build,cons Step 4 is carried out;
step 3, the energy storage state of charge SOC and the energy storage state of charge upper limit SOC are obtained max Comparing if SOC<SOC max Step 5 is carried out; if SOC is greater than or equal to SOC max Step 6 is carried out;
step 4, the energy storage state of charge SOC and the energy storage state of charge lower limit SOC min Comparing if SOC>SOC min Step 7 is carried out; if SOC is less than or equal to SOC min Step 8 is carried out;
step 5, calculating the energy storage input power P ES,in Calculating the total building output P build,prod And building energy consumption P build,cons The difference and the stored energy input power P ES,in Comparing if P build,prod -P build,cons >P ES,in Step 9 is carried out; if P build,prod -P build,cons ≤P ES,in Step 10 is performed;
step 6, calculating the total building output P build,prod And building energy consumption P build,cons The difference is further based on P gird ＝P build,prod -P build,cons Calculating node grid-connected power P gird And setting a node grid-connected carbon emission factor e gird,connect =0, followed by step 13;
step 7, calculating the energy storage output power P ES,out Then calculate the building energy consumption P build,cons Total building output P build,prod And the difference is combined with the energy storage output power P ES,out Comparing if P build,cons -P build,prod >P ES,out Step 11 is performed; if P build,cons -P build,prod ≤P ES,out Step 12 is performed;
step 8, calculating the total building output P build,prod And building energy consumption P build,cons And according to P gird ＝-(P build,pr o d -P build,c o ns ) Calculating node grid-connected power P gird Recalculating node grid-connected carbon emission factor e gird,connect Step 13 is then carried out;
step 9, calculating node grid-connected power P gird Resetting node grid-connected carbon emission factor e gird,connect =0, followed by step 13;
step 10, setting node grid-connected power P gird =0 and node grid-connected carbon emission factor e gird,connect =0, followed by step 13;
step 11, calculating node grid-connected power P gird Recalculating node grid-connected carbon emission factor e gird,connect Step 13 is then carried out;
step 12, setting node grid-connected power P gird =0, recalculate node grid-connected carbon emission factor e gird,connect Step 13 is then carried out;
step 13, calculating a building carbon emission factor CEF, and finishing the operation of calculating the building carbon emission factor;
step 8, step 11 and step 12 node grid-connected carbon emission factor e gird,connect The calculation process is shown in the formula (3),
wherein a is the number of all renewable energy generators in the power distribution network, b is the number of all non-renewable energy generators in the power distribution network, c is the number of user nodes in the power distribution network, e Province To save carbon emission factor, P blance Balancing node power for the first power distribution network;
the construction carbon emission factor CEF calculation in step 13 is shown in formula (6),
wherein n is the number of renewable energy generators of a certain node, and m is the number of non-renewable energy generators of a certain node.
2. The method for measuring and calculating the dynamic carbon emission factor in the operation phase of an active building according to claim 1, wherein the method comprises the following steps: in step 5, the energy storage input power P ES,in The calculation process of (1) is shown in the formula (1),
wherein,and delta t is the charging time, which is the maximum input power of the energy storage device.
3. The method for measuring and calculating the dynamic carbon emission factor in the operation phase of an active building according to claim 1, wherein the method comprises the following steps: energy storage output power P in step 7 ES,out The calculation process of (2) is shown in the formula,
wherein,and delta t is discharge time, which is the maximum output power of the energy storage device.
4. The method for measuring and calculating the dynamic carbon emission factor in the operation phase of an active building according to claim 1, wherein the method comprises the following steps: in step 9, node grid-connected power P gird The calculation process is shown in the formula (4),
wherein,allowing nodes to send the upper power limit back to the distribution network.
5. The method for measuring and calculating the dynamic carbon emission factor in the operation phase of an active building according to claim 1, wherein the method comprises the following steps: node grid-connected power P in step 11 gird The calculation process is shown in the formula (5),
P gird ＝P build,cons -P build,prod -P ES,out (5)。
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310642986.1A CN116630108B (en) | 2023-06-01 | 2023-06-01 | Active building operation stage dynamic carbon emission factor measuring and calculating method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310642986.1A CN116630108B (en) | 2023-06-01 | 2023-06-01 | Active building operation stage dynamic carbon emission factor measuring and calculating method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116630108A CN116630108A (en) | 2023-08-22 |
| CN116630108B true CN116630108B (en) | 2023-11-14 |
Family
ID=87621076
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310642986.1A Active CN116630108B (en) | 2023-06-01 | 2023-06-01 | Active building operation stage dynamic carbon emission factor measuring and calculating method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116630108B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108233412A (en) * | 2018-01-11 | 2018-06-29 | 国网电力科学研究院武汉南瑞有限责任公司 | A kind of low-carbon builds system optimized operation method of providing multiple forms of energy to complement each other |
| CN114723175A (en) * | 2022-05-09 | 2022-07-08 | 东南大学 | Method for calculating energy flow and carbon flow distribution of comprehensive energy system |
| WO2022206354A1 (en) * | 2021-04-02 | 2022-10-06 | 广东工业大学 | Carbon emission measurement and calculation method for process-level, working condition-level, and project-level highway construction activities |
| CN116826752A (en) * | 2023-05-08 | 2023-09-29 | 国网山西省电力公司营销服务中心 | Multi-objective low-carbon loss reduction optimization scheduling strategy method for energy consumption of transformer area |
-
2023
- 2023-06-01 CN CN202310642986.1A patent/CN116630108B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108233412A (en) * | 2018-01-11 | 2018-06-29 | 国网电力科学研究院武汉南瑞有限责任公司 | A kind of low-carbon builds system optimized operation method of providing multiple forms of energy to complement each other |
| WO2022206354A1 (en) * | 2021-04-02 | 2022-10-06 | 广东工业大学 | Carbon emission measurement and calculation method for process-level, working condition-level, and project-level highway construction activities |
| CN114723175A (en) * | 2022-05-09 | 2022-07-08 | 东南大学 | Method for calculating energy flow and carbon flow distribution of comprehensive energy system |
| CN116826752A (en) * | 2023-05-08 | 2023-09-29 | 国网山西省电力公司营销服务中心 | Multi-objective low-carbon loss reduction optimization scheduling strategy method for energy consumption of transformer area |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116630108A (en) | 2023-08-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107732949B (en) | Energy storage, distribution and constant volume method integrating multi-season characteristics of wind power all year round | |
| CN110797896A (en) | Hybrid energy storage capacity optimal configuration method in micro-grid wind and solar energy storage system | |
| CN107732958B (en) | Independent micro-grid black start optimization method considering source-load cooperative recovery | |
| CN102738817B (en) | Method for carrying out self-adaptive smoothing treatment on wind power by battery energy storage system | |
| CN114726009B (en) | Wind power plant group reactive power hierarchical optimization control method and system considering power prediction | |
| CN115065053B (en) | Station area harmonic responsibility qualitative assessment method and system based on source-load equivalent admittance | |
| CN116031887B (en) | Power grid simulation analysis calculation data generation method, system, equipment and medium | |
| CN113852135A (en) | Virtual power plant energy scheduling method, device, storage medium and platform | |
| CN110661250B (en) | Reliability evaluation method and system for wind-solar energy storage and power generation power transmission system | |
| CN116630108B (en) | Active building operation stage dynamic carbon emission factor measuring and calculating method | |
| CN108695893A (en) | A kind of provincial power network new energy abandons electricity influence factor decomposition method | |
| CN117559546A (en) | Hybrid energy storage optimal configuration strategy of low-voltage distribution network considering excitation type demand response | |
| CN114006392B (en) | Energy storage node capacity demand estimation system of distributed power system | |
| CN110098618B (en) | Automatic power flow adjusting method and system | |
| CN109004642A (en) | For stabilizing the distribution distributed energy storage evaluation method of distributed generation resource power swing | |
| CN112134303B (en) | Dead-beat current control method based on hexagonal converter wind power generation system | |
| CN113746120A (en) | Energy storage system optimal configuration method based on GA | |
| CN113013909A (en) | Energy storage capacity improvement method based on stabilizing traction | |
| CN105140940B (en) | It is a kind of to determine the method that independent new energy resources system accesses capacity of energy storing device | |
| Zhang et al. | Research on Energy Storage Capacity Configuration Method and Performance Evaluation in New Energy Base | |
| CN106295915B (en) | The method of optimal dispatch containing clean energy resource with the constraint of maximum capacity criterion | |
| CN110932312A (en) | Reliability evaluation method for wind-solar storage micro-grid system | |
| CN104485685A (en) | Solar and storage integrated self-balancing control method and system applicable to distribution network | |
| CN115563815B (en) | Method and device for simulating and calculating space-time evolution of carbon emission flow of double-high power system | |
| CN111130101B (en) | Multi-scenario capacity configuration optimization method for multi-port energy router |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |