CN116226600A - Carbon bank calculation method, storage medium and equipment based on building industry energy structure - Google Patents
Carbon bank calculation method, storage medium and equipment based on building industry energy structure Download PDFInfo
- Publication number
- CN116226600A CN116226600A CN202310090057.4A CN202310090057A CN116226600A CN 116226600 A CN116226600 A CN 116226600A CN 202310090057 A CN202310090057 A CN 202310090057A CN 116226600 A CN116226600 A CN 116226600A
- Authority
- CN
- China
- Prior art keywords
- carbon
- carbon emission
- industry
- emission
- current building
- 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.)
- Pending
Links
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 317
- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 317
- 238000004364 calculation method Methods 0.000 title claims abstract description 26
- 238000003860 storage Methods 0.000 title claims abstract description 12
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 67
- 238000000034 method Methods 0.000 claims abstract description 43
- 238000005265 energy consumption Methods 0.000 claims description 69
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims description 16
- 230000015654 memory Effects 0.000 claims description 12
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 12
- 238000010276 construction Methods 0.000 claims description 11
- 229910002092 carbon dioxide Inorganic materials 0.000 claims description 8
- 238000010438 heat treatment Methods 0.000 claims description 8
- 238000004590 computer program Methods 0.000 claims description 7
- 230000006870 function Effects 0.000 claims description 7
- 239000003502 gasoline Substances 0.000 claims description 7
- 239000001569 carbon dioxide Substances 0.000 claims description 6
- 239000003245 coal Substances 0.000 claims description 6
- 239000002283 diesel fuel Substances 0.000 claims description 6
- 239000003345 natural gas Substances 0.000 claims description 6
- 239000000571 coke Substances 0.000 claims description 5
- 239000010779 crude oil Substances 0.000 claims description 5
- 238000001514 detection method Methods 0.000 claims description 5
- 239000000295 fuel oil Substances 0.000 claims description 5
- 239000003350 kerosene Substances 0.000 claims description 5
- 230000000737 periodic effect Effects 0.000 claims description 5
- 230000008569 process Effects 0.000 description 6
- 238000004891 communication Methods 0.000 description 5
- 238000004519 manufacturing process Methods 0.000 description 4
- 239000002803 fossil fuel Substances 0.000 description 3
- 238000004088 simulation Methods 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- BVKZGUZCCUSVTD-UHFFFAOYSA-L Carbonate Chemical compound [O-]C([O-])=O BVKZGUZCCUSVTD-UHFFFAOYSA-L 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000002485 combustion reaction Methods 0.000 description 2
- 230000006378 damage Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 239000010842 industrial wastewater Substances 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000011084 recovery Methods 0.000 description 2
- 238000004064 recycling Methods 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 239000006229 carbon black Substances 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 239000000470 constituent Substances 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000005206 flow analysis Methods 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000005406 washing Methods 0.000 description 1
Images
Classifications
-
- 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
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
-
- 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
-
- 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
- G06Q50/26—Government or public services
-
- 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)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Computational Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Analysis (AREA)
- Economics (AREA)
- Primary Health Care (AREA)
- Human Resources & Organizations (AREA)
- General Engineering & Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Mathematical Optimization (AREA)
- Mathematical Physics (AREA)
- Probability & Statistics with Applications (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Software Systems (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Algebra (AREA)
- Operations Research (AREA)
- Life Sciences & Earth Sciences (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to a carbon bank calculation method, a storage medium and equipment based on an energy structure of building industry, wherein the method comprises the following steps: determining the industrial type of the current building according to the application of the current building; configuring an industry database corresponding to the industry type according to the industry type of the current building and a carbon accounting database to generate a carbon-exclusion factor algorithm model; the method comprises the steps of acquiring historical carbon emission data of a current building, estimating the carbon emission of the current building according to the historical carbon emission data and a carbon emission factor algorithm model, and establishing different carbon emission factor algorithm models for buildings of different industry types, so that the carbon emission of the building is estimated according to the industry types of the building, and the accuracy of carbon emission calculation of the buildings of different industry types is improved.
Description
Technical Field
The invention relates to the technical field of carbon emission measurement and calculation, in particular to a carbon emission calculation method, a storage medium and equipment based on an energy structure of the building industry.
Background
The carbon emission in the building field exceeds 50% of the total national carbon emission, and is a key field for achieving the national double carbon target.
At present, in a carbon check stage of building operation maintenance, in the prior art, the accounting is mainly evaluated through energy consumption of building operation or carbon emission items in areas, but buildings have different industrial types, energy consumption is also different, and the produced carbon emission accounting standards are also different, so how to evaluate the carbon emission of the buildings in different industrial types is a problem to be solved urgently.
Disclosure of Invention
The invention discloses a carbon emission calculation method, a storage medium and equipment based on an energy structure of building industry, which are used for establishing different carbon emission factor algorithm models aiming at buildings of different industry types, so as to estimate the carbon emission of the building according to the industry types of the building, improve the accuracy of carbon emission calculation of the buildings of different industry types, and specifically adopt the following scheme:
in a first aspect, a method for calculating a carbon number based on an energy structure of an architectural industry is provided, the method comprising:
determining the industrial type of the current building according to the application of the current building;
configuring an industry database corresponding to the industry type according to the industry type of the current building, and generating a carbon factor algorithm model by using the carbon factor algorithm database;
and acquiring historical carbon emission data of the current building, and estimating the carbon emission of the current building according to the historical carbon emission data and the carbon emission factor algorithm model.
Further, the configuring an industry database corresponding to the industry type and a carbon accounting database according to the industry type of the current building to generate a carbon factoring algorithm model includes:
configuring a corresponding industry database according to the industry type of the current building, wherein the industry database comprises energy consumption attributes corresponding to the industry type and an energy consumption structure, and the energy consumption structure comprises different types of consumed energy sources;
the current building is configured with different statistical calibers, the historical carbon emission data of the current building industry is counted according to the statistical calibers, carbon emission types corresponding to the statistical calibers are obtained, the different statistical calibers correspond to different emission types, and the emission types correspond to the energy consumption attributes in the industry database one by one, so that the configuration of the carbon accounting database is realized;
and correlating the industry database with the carbon accounting database according to the energy consumption attribute to generate the carbon factor algorithm model of the current building.
Further, the method further comprises:
and configuring the statistical caliber according to record data related to carbon emission of enterprises in the current building, wherein the record data comprises an original record of energy consumption, a statistical standing book and periodic detection values of the enterprises.
Further, the associating the industry database with the carbon accounting database according to the energy consumption attribute to generate the carbon emission factor algorithm model of the current building includes:
converting the carbon emission amount corresponding to the emission type in the carbon accounting database into consumption amounts of different energy sources in the energy consumption structure corresponding to the energy consumption attribute in the industry database;
and establishing a carbon factor algorithm formula according to the consumption of different energy sources in the energy consumption structure corresponding to all emission types in the carbon accounting database.
Further, the carbon factor algorithm formula is:
wherein C is the carbon emission, j represents an energy variety, and the energy variety comprises coal, coke, crude oil, gasoline, kerosene, diesel oil, fuel oil and natural gas; e (E) j The consumption of j energy sources; w (W) j The average low-order heating value of j energy sources; f (F) j Carbon dioxide emission factor for j energy sources.
Further, the obtaining the historical carbon emission data of the current building, and estimating the carbon emission of the current building according to the historical carbon emission data and the carbon emission factor algorithm model includes:
calculating the carbon emission corresponding to each statistical caliber according to the historical carbon emission data and the carbon emission factor algorithm model;
and adding the carbon emission corresponding to all the statistical calibers to obtain the total carbon emission.
Further, the method further comprises:
dividing the current building into different functional areas according to functions;
and configuring the corresponding statistical caliber according to the functional area, and counting the historical carbon emission data of the current building industry according to the statistical caliber to obtain the carbon emission of each functional area.
Further, the method further comprises:
and comparing the carbon emission with the historical carbon emission data, displaying the data of the carbon emission beyond the expected range, generating alarm information, and generating a corresponding energy-saving and emission-reduction strategy.
Further, the method further comprises:
the configuration of the industry database and the carbon accounting database is adjusted until the carbon emissions are within an expected range.
In a second aspect, a computer readable storage medium is provided, on which a computer program is stored which, when executed by a processor, implements a carbon number calculation method based on a construction industry energy structure as described above.
In a third aspect, there is provided an apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing a carbon number calculation method based on a construction industry energy structure as described above when executing the program.
According to the invention, the industrial type of the current building is determined according to the application of the current building, the industrial database corresponding to the industrial type and the carbon accounting database are configured according to the industrial type of the current building so as to generate the carbon emission factor algorithm model, the historical carbon emission data of the current building is obtained, the carbon emission quantity of the current building is estimated according to the historical carbon emission data and the carbon emission factor algorithm model, and different carbon emission factor algorithm models are built for the buildings of different industrial types, so that the carbon emission quantity of the building is estimated according to the industrial type of the building, and the accuracy of carbon emission calculation of the buildings of different industrial types is improved. Further, if the carbon emission exceeds the standard, the industrial database and the carbon accounting database are configured, so that the carbon emission factor algorithm model is re-established, and in the process, the carbon emission factor algorithm model meeting the carbon emission is iterated by continuously configuring corresponding energy consumption attributes, energy consumption structures and statistical apertures, so that the carbon emission of the current building in a future time period is within an expected range, and energy conservation and emission reduction are achieved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a carbon bank calculation method based on an energy structure of the building industry according to a first embodiment of the present invention;
FIG. 2 is a flow chart of a carbon bank calculation method based on an energy structure of the building industry in a second embodiment of the invention;
fig. 3 is a schematic diagram of a carbon bank computing device based on an energy structure of the building industry according to a third embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Throughout the specification, references to "one embodiment," "one example," or "an example" mean: a particular feature, structure, or characteristic described in connection with the embodiment or example is included within at least one embodiment of the invention. Thus, the appearances of the phrases "in one embodiment," "in an embodiment," "one example," or "an example" in various places throughout this specification are not necessarily all referring to the same embodiment or example. Furthermore, the particular features, structures, or characteristics may be combined in any suitable combination and/or sub-combination in one or more embodiments or examples.
According to the invention, the industrial type of the current building is determined according to the application of the current building, the industrial database corresponding to the industrial type and the carbon accounting database are configured according to the industrial type of the current building so as to generate the carbon emission factor algorithm model, the historical carbon emission data of the current building is obtained, the carbon emission quantity of the current building is estimated according to the historical carbon emission data and the carbon emission factor algorithm model, and different carbon emission factor algorithm models are built for the buildings of different industrial types, so that the carbon emission quantity of the building is estimated according to the industrial type of the building, and the accuracy of carbon emission calculation of the buildings of different industrial types is improved.
Example 1
As shown in fig. 1, the present embodiment provides a carbon bank calculating method based on an energy structure of the building industry, which includes:
s101, determining the industrial type of the current building according to the application of the current building.
In this step, the applications after construction of the building are different, and the corresponding operation emphasis points of different buildings are different according to the industrial application, so that the types of carbon emission are also different, and the buildings are divided into four major categories according to the application presets: industrial areas, office areas, residential areas, municipal areas, and the like, and the industrial type is determined for the purposes of the current building, so that the carbon emission of the buildings with different purposes can be simulated.
S102, configuring an industry database corresponding to the industry type according to the industry type of the current building and generating a carbon factor algorithm model by the carbon accounting database.
In this step, the industrial database and the carbon accounting database configured for different industrial types are different, and the configuration of the industrial database mainly configures energy consumption attributes and energy consumption structures thereof, specifically, the industrial database is provided with corresponding energy consumption attributes and energy consumption structures according to the application of the building industry, and can be edited and adjusted according to the application of the new building industry. The energy consumption attributes in the industry database include: electric power, heating, process, water supply/drainage/water supply, road, air conditioner, gas fuel, vehicle; the energy structure in the industry database comprises: coal, gasoline, diesel, solar energy, wind energy, biological geothermal energy and natural gas.
In this step, the carbon accounting database is configured, mainly to configure an accounting path and an accounting method for historical carbon emission data applied in the carbon accounting process, so that after the accounting path and the accounting method are determined, a carbon factor algorithm model is established according to the industry database and the carbon accounting database.
S103, acquiring historical carbon emission data of the current building, and estimating the carbon emission of the current building according to the historical carbon emission data and a carbon emission factor algorithm model.
In this step, the historical carbon emission data is data based on electricity meter readings or enterprise energy consumption accounts or statistics of the enterprises and the grid companies in the current building, specifically, the historical carbon emission data is historical carbon emission data within a period of time before the current estimated time, and may be, for example, historical carbon emission data within several years or historical carbon emission data within several months. After the historical carbon emission data of the current building is obtained, the carbon emission of the current building is estimated according to the historical carbon emission data and the carbon emission factor algorithm model, and illustratively, the historical carbon emission data of the current year can be estimated according to the historical carbon emission data of the last year, so that the estimated carbon emission data can be compared with the expected carbon emission data or the historical carbon emission data to determine which aspects of the current year can reduce the carbon emission.
In this embodiment, the industry type of the current building is determined according to the use of the current building, the industry database corresponding to the industry type and the carbon accounting database are configured according to the industry type of the current building so as to generate a carbon emission factor algorithm model, historical carbon emission data of the current building is obtained, the carbon emission quantity of the current building is estimated according to the historical carbon emission data and the carbon emission factor algorithm model, different carbon emission factor algorithm models are built for buildings of different industry types, and therefore the carbon emission quantity of the building is estimated according to the industry type of the building, and accuracy of carbon emission calculation of buildings of different industry types is improved.
Further, S102, configuring an industry database corresponding to the industry type according to the industry type of the current building, thereby generating a carbon factor algorithm model includes:
configuring a corresponding industry database according to the industry type of the current building, wherein the industry database comprises energy consumption attributes and energy consumption structures corresponding to the industry type, and the energy consumption structures comprise different types of consumed energy sources;
different statistical calibers are configured for the current building, historical carbon emission data of the current building industry are counted according to the statistical calibers, carbon emission types corresponding to the statistical calibers are obtained, different statistical calibers correspond to different emission types, and the emission types correspond to energy consumption attributes in an industry database one by one, so that the configuration of a carbon accounting database is realized;
and correlating the industrial database with the carbon accounting database according to the energy consumption attribute to generate a carbon ranking factor algorithm model of the current building.
Further, the method further comprises: and configuring a statistical caliber according to recorded data related to carbon emission of enterprises in the current building, wherein the recorded data comprise an original record of energy consumption, a statistical standing book and periodic detection values of the enterprises.
In the present embodiment, an industrial database of a building of an industrial area, which corresponds to energy consumption properties and energy structures, is exemplarily shown in table 1 as follows:
TABLE 1
In this embodiment, the statistical caliber in the carbon accounting database is mainly configured according to the record data related to the carbon emission of the enterprise in the current building, where the record data includes an original energy consumption record, a statistics ledger, and periodic detection values of the enterprise, and when the statistical caliber is configured, different statistical calibers correspond to different emission types, and the emission types are in one-to-one correspondence with the energy consumption attributes in the industry database, so that when the carbon accounting database is associated with the industry database, the corresponding emission types can be obtained from the statistical calibers in the carbon accounting database, and further the corresponding energy consumption attributes can be obtained, and further the corresponding energy consumption structure is obtained, and illustratively, taking the building of the industry area as an example, the configured statistical calibers are as shown in the following table 2:
TABLE 2
In particular, for carbonate usage process CO in statistical reports 2 The sources of emissions are mainly:
TABLE 3 Table 3
In particular, for fossil fuel combustion CO in a checklist 2 The sources of emissions are mainly:
TABLE 4 Table 4
Specifically, for industrial wastewater anaerobic treatment CH in energy consumption records 4 The sources of (a) are mainly as follows:
TABLE 5
In particular for CH in energy consumption records 4 The sources of the recovery and destruction amount mainly include:
TABLE 6
In particular for CO in energy consumption records 2 The recycling amount mainly comprises the following sources:
TABLE 7
Specifically, CO implicit to enterprise net purchase power in energy consumption records 2 The sources of emissions are mainly:
TABLE 8
In particular, thermally implicit CO is purchased for the net of an enterprise in an energy consumption record 2 The sources of emissions are mainly:
TABLE 9
Further, associating the industry database with the carbon accounting database according to the energy consumption attribute to generate a carbon factor algorithm model of the current building further comprises:
converting the carbon emission amount corresponding to the emission type in the carbon accounting database into the consumption amount of different energy sources in the energy consumption structure corresponding to the energy consumption attribute in the industry database;
and establishing a carbon factor algorithm formula according to the consumption of different energy sources in the energy consumption structure corresponding to all emission types in the carbon accounting database.
Further, the carbon factor algorithm formula is:
wherein C is carbon emission, j represents energy varieties including coal, coke, crude oil, gasoline, kerosene, diesel oil, fuel oil and natural gas; e (E) j The consumption of j energy sources; w (W) j The average low-order heating value of j energy sources; f (F) j Carbon dioxide emission factor for j energy sources.
In this embodiment, when the carbon factor algorithm model is built, the carbon emission amount corresponding to the emission type in the carbon accounting database is converted into the energy consumption structure corresponding to the energy consumption attribute in the industry database, and a carbon factor algorithm formula is built according to the consumption amounts of different energy sources in the energy consumption structure corresponding to all the emission types in the carbon accounting database, wherein in the carbon factor algorithm formula, E j 、W j Can be calculated according to the historical carbon emission data, F j The method can be set according to actual conditions, so that after historical carbon emission data are obtained, historical carbon emission data corresponding to different apertures can be obtained according to the statistical apertures, an energy consumption mechanism corresponding to the statistical apertures is determined according to the corresponding relation between a carbon accounting database and an industrial database, corresponding energy varieties are obtained, consumption and average low-level heating value corresponding to the energy varieties are obtained through conversion according to the historical carbon emission data, and the carbon emission corresponding to the statistical apertures is finally obtained according to configured carbon dioxide emission factors.
Further, S103, obtaining historical carbon emission data of the current building, and estimating the carbon emission of the current building according to the historical carbon emission data and the carbon emission factor algorithm model includes:
calculating the carbon emission corresponding to each statistical caliber according to the historical carbon emission data and the carbon emission factor algorithm model;
and adding the carbon emission corresponding to all the statistical calibers to obtain the total carbon emission.
In this embodiment, the total carbon emission is obtained by adding the carbon emissions corresponding to all the statistical apertures, and the total carbon emission is calculated according to different statistical apertures, so that the carbon emission corresponding to each statistical aperture can be obtained, specifically, the total carbon emission is calculated by adopting the following formula:
C total (S) J represents an energy source variety for total carbon emission, wherein the energy source variety comprises coal, coke, crude oil, gasoline, kerosene, diesel oil, fuel oil and natural gas; e (E) j The consumption of j energy sources; w (W) j The average low-order heating value of j energy sources; f (F) j Carbon dioxide emission factor for j energy sources.
After the carbon emission of each statistical caliber is obtained, the carbon emission of each statistical caliber can be displayed to a user or an administrator, so that the user or the administrator can conveniently manage after the carbon emission of a certain statistical caliber exceeds the standard.
Further, the method further comprises:
dividing the current building into different functional areas according to functions;
and configuring corresponding statistical apertures according to the functional areas, and carrying out statistics on historical carbon emission data of the current building industry according to the statistical apertures to obtain the carbon emission of each functional area.
In this embodiment, the current building may be divided into a production facility area and a public area according to different functions, for example, the main functions of the production facility area are production, the main functions of the public area are common areas of the current building for different enterprises, such as a corridor and a restaurant, so that the carbon emission amount corresponding to each statistical caliber of each functional area can be calculated by using the carbon emission factor algorithm model in this embodiment, and the carbon emission amounts corresponding to all statistical calibers of all functional areas are added to obtain a total carbon emission amount, and the carbon emission amount under each functional area can be displayed to a user or an administrator through calculation of the carbon emission amounts of the different functional areas, so that the user or the administrator is convenient to manage after the carbon emission amount of a certain statistical caliber exceeds the standard.
For the construction industry of industrial areas, for example, different statistical apertures may be set for common areas of the construction of industrial areas, in addition to the statistical apertures configured for the production facility areas of the construction of industrial areas, in table 2, which may be referred to the settings of table 2, and for common areas, the sources of fossil fuel combustion CO2 emissions may be referred to table 4, carbonate usage CO 2 The discharge can be referred to Table 3, the anaerobic treatment of industrial wastewater CH 4 The source of (C) can be referred to in Table 5, CH 4 The sources of recovery and destruction amounts can be referred to in Table 6, CO 2 The recycling amount can be referred to in Table 7, and the enterprise can only purchase CO hidden in the electric power 2 The source of emissions can be referred to in Table 8, where the enterprise is clean to purchase CO implied by the heating power 2 The emissions may be referred to in table 9.
Further, the method further comprises:
and comparing the carbon emission with historical carbon emission data, displaying data of which the carbon emission exceeds an expected range, generating alarm information, and generating a corresponding energy-saving and emission-reduction strategy.
In this embodiment, after the historical carbon emission data of the building is obtained, a carbon emission numerical simulation based on a carbon arrival peak-TIME (TIME model, which is called as a MARKAL-EFOM System integrated model (The Integrated MARKAL-EFOM System) in full), is adopted, a bottom-up energy optimization model developed by the MARKAL model and the EFOM model is integrated, and in the process, a carbon emission factor algorithm model obtained according to a configured industrial database and a carbon accounting database is adopted, so that the carbon emission amount corresponding to each statistical caliber can be obtained, the carbon emission amount of each functional area, the carbon emission amount of each statistical caliber and the total carbon emission amount of each functional area are compared with an expected range, so that whether abnormal data of carbon emission exists or not can be determined, if so, alarm information is displayed and a corresponding energy saving and emission reduction strategy is generated, and if the carbon emission data of the historical area exceeds the carbon emission data, or the carbon emission data is increased by a certain proportion each year, and the carbon emission data of the current carbon emission area exceeds the corresponding energy saving and emission strategy is generated by the corresponding energy saving and emission strategy is not required to be turned off when the air conditioner is in a corresponding energy saving and emission strategy is not required to be turned off at 20, such as a cold air conditioner; the energy-saving fluorescent lamp is used for illumination; when the room is free of people, turning off the lamp at any time; the temperature of the water heater is set at the lowest; the temperature of the refrigerator varies with seasons; the switching times of the refrigerator are reduced; putting together as much as possible when washing clothes; when the electric appliance is not used, the plug is pulled out; when buying an electric appliance, the energy-saving commodity is selected.
In this embodiment, the TIMES simulation model obtains an energy service demand prediction model through the socioeconomic state of development, and obtains an energy consumption system module according to the prediction model, and finally obtains a CO2 carbon emission model. Social and economic development constituent elements: GDP, industry structure, population, urban rate, energy service demand prediction model: dynamic material flow analysis, a metering economic method, an industrial life cycle curve, an elasticity coefficient method, a split-mode traffic energy service demand prediction method based on a GCAM (Global Change Assessment Model, global change assessment) model, a resident energy service demand prediction method based on energy consumption intensity, an original data background and industrial data. An energy consumption system module: energy supply and demand, energy resource constraint, energy import and export and non-fossil energy utilization, and energy consumption value CO is obtained through prediction of elasticity coefficient and energy service demand 2 Carbon emission model: the three dimensions of activity level, carbon rejection factor, emission constraint form a carbon emission path, resulting in a carbon rejection peak path and peak level.
In this embodiment, the carbon emission and the historical carbon emission data of the carbon emission can be intuitively displayed for comparison by using the card factor algorithm model and the BIM (Building Information Modeling, building information model) +GIS (Geographic Information System ) +IOT (Internet of Things, internet of things) technology.
In this embodiment, the industry type is an example of alarm information of an industrial area: alarming when exceeding standard, and exceeding the annual limit value of the total carbon emission of the building; abnormal emission alarm, when the emission detail is lower than the normal value, alarm; and alarming by a threshold value, and alarming that the carbon emission exceeds a set emission value (the threshold value setting standard is carbon emission statistical result information of the last year of the building in historical carbon emission data).
Further, the method further comprises:
the configuration of the industry database and the carbon accounting database is adjusted until the carbon emissions are within the expected range.
In this embodiment, a corresponding evaluation report is generated after the overall carbon emission of the current building is evaluated, and the building industry in the industrial area is taken as an example, and a report sample is shown in table 10.
Configuring the industry database and the carbon accounting database when the carbon emission exceeds the standard, thereby reestablishing a carbon emission factor algorithm model, and iterating the carbon emission factor algorithm model meeting the carbon emission by continuously configuring corresponding energy consumption attributes, energy consumption structures and statistical apertures in the process so that the carbon emission of the current building in a future time period is within an expected range, as shown in table 10, for example, if the fossil fuel burns CO 2 If the emission exceeds the expected emission, the consumption of gasoline and diesel oil burned by warehouse, transportation and factory powered vehicles needs to be reduced, so that the carbon emission corresponding to the statistical caliber of the settlement list is reduced.
Table 10
Example two
As shown in fig. 2, the present embodiment provides a carbon bank calculating method based on an energy structure of the building industry, which includes:
s201, determining the industry type of the current building;
s202, establishing a carbon ranking factor algorithm model through a configured industry database and a carbon accounting database;
s203, performing simulation calculation according to the historical carbon emission data and the carbon emission factor algorithm model;
s204, calculating the carbon emission amount;
s205, judging whether the carbon emission amount is in an expected range;
s206; if not, the configuration of the industry database and the carbon accounting database is adjusted.
Example III
As shown in fig. 3, the present embodiment provides a carbon-emission calculating device based on an energy structure of the building industry, the device including:
an industry type determining module 301, configured to determine an industry type of the current building according to the use of the current building;
the carbon-exclusion factor algorithm model determining module 302 is configured to configure an industry database corresponding to the industry type and a carbon accounting database according to the industry type of the current building so as to generate a carbon-exclusion factor algorithm model;
the carbon emission calculation module 303 is configured to obtain historical carbon emission data of the current building, and estimate the carbon emission of the current building according to the historical carbon emission data and the carbon emission factor algorithm model.
Further, the carbon number factor algorithm model determination module 302 further includes:
the industrial database configuration unit is used for configuring a corresponding industrial database according to the industrial type of the current building, wherein the industrial database comprises energy consumption attributes corresponding to the industrial type and an energy consumption structure, and the energy consumption structure comprises different types of consumed energy sources;
the carbon accounting database configuration unit is used for configuring different statistical calibers for the current building, counting historical carbon emission data of the current building industry according to the statistical calibers to obtain carbon emission types corresponding to the statistical calibers, wherein the different statistical calibers correspond to different emission types, and the emission types correspond to the energy consumption attributes in the industry database one by one, so that the configuration of the carbon accounting database is realized;
and the carbon factor algorithm unit is used for correlating the industrial database with the carbon accounting database according to the energy consumption attribute to generate a carbon factor algorithm model of the current building.
Further, the carbon accounting database configuration unit is further used for configuring the statistical caliber according to record data related to carbon emission of enterprises in the current building, wherein the record data comprises an original record of energy consumption, a statistical ledger and periodic detection values of the enterprises.
Further, the carbon emission factor algorithm unit is further used for converting carbon emission corresponding to the emission type in the carbon accounting database into consumption of different energy sources in the energy consumption structure corresponding to the energy consumption attribute in the industry database;
and establishing a carbon factor algorithm formula according to the consumption of different energy sources in the energy consumption structure corresponding to all emission types in the carbon accounting database.
Further, the carbon factor algorithm formula is:
wherein C is carbon emission, j represents energy varieties including coal, coke, crude oil, gasoline, kerosene, diesel oil, fuel oil and natural gas; e (E) j The consumption of j energy sources; w (W) j The average low-order heating value of j energy sources; f (F) j Carbon dioxide emission factor for j energy sources.
Further, the carbon emission amount calculation module 303 is further configured to calculate a carbon emission amount corresponding to each statistical caliber according to the historical carbon emission data and the carbon emission factor algorithm model;
and adding the carbon emission corresponding to all the statistical calibers to obtain the total carbon emission.
Further, the carbon accounting database configuration unit is further used for dividing the current building into different functional areas according to functions;
the carbon emission amount calculation module 303 is further configured to configure a corresponding statistical caliber according to the functional area, and calculate historical carbon emission data of the current building industry according to the statistical caliber to obtain the carbon emission amount of each functional area.
Further, the system also comprises a comparison module for comparing the carbon emission with the historical carbon emission data, displaying the data of the carbon emission beyond the expected range, generating alarm information and generating a corresponding energy-saving and emission-reduction strategy.
Further, the carbon black algorithm model determination module 302 is also configured to adjust the configuration of the industry database and the carbon accounting database until the carbon emissions are within the expected range.
Example IV
The present embodiment provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the carbon emission calculation method based on the construction industry energy structure as described in the first embodiment.
Example five
The embodiment provides an apparatus, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the carbon bank calculation method based on the construction industry energy structure according to the embodiment when executing the program.
The device of the invention comprises: a Processor (Processor), a communication interface (Communications Interface), a Memory (Memory) and a communication bus, wherein the Processor, the communication interface, and the Memory communicate with each other via the communication bus. The processor may invoke logic instructions in the memory to perform any of the previously described methods of carbon bank calculation based on the construction industry energy architecture.
Further, the logic instructions in the above-described memories may be implemented in the form of software functional units and may be stored in a certain machine-readable storage medium when sold or used as a separate product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a determiner device (which may be a personal determiner, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the above technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a determiner-readable storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., comprising several instructions for causing a determiner device (which may be a personal determiner, a server, a network device, etc.) to perform the embodiments or the methods described by some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (11)
1. A carbon-emission calculation method based on an energy structure of the building industry, the method comprising:
determining the industrial type of the current building according to the application of the current building;
configuring an industry database corresponding to the industry type according to the industry type of the current building, and generating a carbon factor algorithm model by using the carbon factor algorithm database;
and acquiring historical carbon emission data of the current building, and estimating the carbon emission of the current building according to the historical carbon emission data and the carbon emission factor algorithm model.
2. The method of claim 1, wherein the configuring an industry database corresponding to an industry type and a carbon accounting database according to the industry type of the current building to generate a carbon back-up factor algorithm model comprises:
configuring a corresponding industry database according to the industry type of the current building, wherein the industry database comprises energy consumption attributes corresponding to the industry type and an energy consumption structure, and the energy consumption structure comprises different types of consumed energy sources;
the current building is configured with different statistical calibers, the historical carbon emission data of the current building industry is counted according to the statistical calibers, carbon emission types corresponding to the statistical calibers are obtained, the different statistical calibers correspond to different emission types, and the emission types correspond to the energy consumption attributes in the industry database one by one, so that the configuration of the carbon accounting database is realized;
and correlating the industry database with the carbon accounting database according to the energy consumption attribute to generate the carbon factor algorithm model of the current building.
3. The method of claim 2, wherein the method further comprises:
and configuring the statistical caliber according to record data related to carbon emission of enterprises in the current building, wherein the record data comprises an original record of energy consumption, a statistical standing book and periodic detection values of the enterprises.
4. The method of claim 2, wherein the correlating the industry database with the carbon accounting database to generate the carbon back-up factor algorithm model for the current building according to the energy consumption attribute comprises:
converting the carbon emission amount corresponding to the emission type in the carbon accounting database into consumption amounts of different energy sources in the energy consumption structure corresponding to the energy consumption attribute in the industry database;
and establishing a carbon factor algorithm formula according to the consumption of different energy sources in the energy consumption structure corresponding to all emission types in the carbon accounting database.
5. The method of claim 2, wherein the carbon factor algorithm formula is:
wherein C is the carbon emission, j represents an energy variety, and the energy variety comprises coal, coke, crude oil, gasoline, kerosene, diesel oil, fuel oil and natural gas; e (E) j The consumption of j energy sources; w (W) j The average low-order heating value of j energy sources; f (F) j Carbon dioxide emission factor for j energy sources.
6. The method of claim 2, wherein the obtaining historical carbon emission data for the current building and estimating the carbon emissions for the current building based on the historical carbon emission data and the carbon emission factor algorithm model comprises:
calculating the carbon emission corresponding to each statistical caliber according to the historical carbon emission data and the carbon emission factor algorithm model;
and adding the carbon emission corresponding to all the statistical calibers to obtain the total carbon emission.
7. The method of claim 6, wherein the method further comprises:
dividing the current building into different functional areas according to functions;
and configuring the corresponding statistical caliber according to the functional area, and counting the historical carbon emission data of the current building industry according to the statistical caliber to obtain the carbon emission of each functional area.
8. The method of claim 1, wherein the method further comprises:
and comparing the carbon emission with the historical carbon emission data, displaying the data of the carbon emission beyond the expected range, generating alarm information, and generating a corresponding energy-saving and emission-reduction strategy.
9. The method of claim 1, wherein the method further comprises:
the configuration of the industry database and the carbon accounting database is adjusted until the carbon emissions are within an expected range.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the carbon-emission calculation method based on the construction industry energy structure according to any one of claims 1 to 9.
11. An apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the carbon number calculation method based on the construction industry energy structure of any one of claims 1 to 9 when the program is executed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310090057.4A CN116226600A (en) | 2023-01-19 | 2023-01-19 | Carbon bank calculation method, storage medium and equipment based on building industry energy structure |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310090057.4A CN116226600A (en) | 2023-01-19 | 2023-01-19 | Carbon bank calculation method, storage medium and equipment based on building industry energy structure |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116226600A true CN116226600A (en) | 2023-06-06 |
Family
ID=86574346
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310090057.4A Pending CN116226600A (en) | 2023-01-19 | 2023-01-19 | Carbon bank calculation method, storage medium and equipment based on building industry energy structure |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116226600A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117196918A (en) * | 2023-09-21 | 2023-12-08 | 国家电网有限公司大数据中心 | Building carbon emission determining method, device, equipment and storage medium |
| CN117556526A (en) * | 2024-01-12 | 2024-02-13 | 国网北京市电力公司 | Method and device for identifying architectural carbon portrait, storage medium and electronic equipment |
-
2023
- 2023-01-19 CN CN202310090057.4A patent/CN116226600A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117196918A (en) * | 2023-09-21 | 2023-12-08 | 国家电网有限公司大数据中心 | Building carbon emission determining method, device, equipment and storage medium |
| CN117196918B (en) * | 2023-09-21 | 2024-06-07 | 国家电网有限公司大数据中心 | Building carbon emission determining method, device, equipment and storage medium |
| CN117556526A (en) * | 2024-01-12 | 2024-02-13 | 国网北京市电力公司 | Method and device for identifying architectural carbon portrait, storage medium and electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Zhao et al. | Can renewable generation, energy storage and energy efficient technologies enable carbon neutral energy transition? | |
| Christensen et al. | Decomposing the wedge between projected and realized returns in energy efficiency programs | |
| Heeren et al. | A component based bottom-up building stock model for comprehensive environmental impact assessment and target control | |
| CN116226600A (en) | Carbon bank calculation method, storage medium and equipment based on building industry energy structure | |
| Mac Uidhir et al. | Improving energy savings from a residential retrofit policy: A new model to inform better retrofit decisions | |
| Farzaneh et al. | An integrated supply-demand model for the optimization of energy flow in the urban system | |
| Jennings et al. | Modelling and optimization of retrofitting residential energy systems at the urban scale | |
| Alfawzan et al. | Wind energy assessment for NEOM city, Saudi Arabia | |
| Vieira et al. | An assessment of CO2 emissions avoided by energy-efficiency programs: A general methodology and a case study in Brazil | |
| Wood et al. | Impact of oil prices, economic diversification policies and energy conservation programs on the electricity and water demands in Kuwait | |
| Liu et al. | The life cycle rebound effect of air-conditioner consumption in China | |
| Balezentis et al. | Stakeholder involvement for sustainable energy development based on uncertain group decision making: prioritizing the renewable energy heating technologies and the BWM-WASPAS-IN approach | |
| Rosato et al. | Dynamic performance assessment of a residential building-integrated cogeneration system under different boundary conditions. Part II: Environmental and economic analyses | |
| Artur et al. | Domestic hot water technology transition for solar thermal systems: An assessment for the urban areas of Maputo city, Mozambique | |
| Chen et al. | AI-Assisted approach for building energy and carbon footprint modeling | |
| Kim et al. | Measuring the rebound effect: A case study of residential photovoltaic systems in San Diego | |
| Pout | N-DEEM: the national nondomestic buildings energy and emissions model | |
| Qiu et al. | Grid impact of non-residential distributed solar energy and reduced air emissions: Empirical evidence from individual-consumer-level smart meter data | |
| Abulibdeh | Geospatial assessment of the carbon footprint of water and electricity consumption in residential buildings in Doha, Qatar | |
| Amusan et al. | Techno-economic analysis of hybrid solar-biomass-wind for water pumping considering carbon tax and renewable energy rebate | |
| Hong et al. | Assessing multidimensional energy poverty and its economic impact on N11 Countries: mediating role of energy efficiency | |
| CN104915900A (en) | Loading-zone-block-based site selection and volume determination method of distributed power supply | |
| Fakehi Khorasani et al. | The impact of energy conservation policies on the projection of future energy demand | |
| Antoniucci et al. | Urban density and household-electricity consumption: an analysis of the Italian residential building stock | |
| Alazmi et al. | Kuwait household water demand in 2050: Spatial microsimulation and impact appraisal |
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 |