CN113705936A - Energy configuration method and device based on carbon cycle and storage medium - Google Patents

Energy configuration method and device based on carbon cycle and storage medium Download PDF

Info

Publication number
CN113705936A
CN113705936A CN202111250606.7A CN202111250606A CN113705936A CN 113705936 A CN113705936 A CN 113705936A CN 202111250606 A CN202111250606 A CN 202111250606A CN 113705936 A CN113705936 A CN 113705936A
Authority
CN
China
Prior art keywords
carbon
time period
efficiency
preset time
value
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.)
Granted
Application number
CN202111250606.7A
Other languages
Chinese (zh)
Other versions
CN113705936B (en
Inventor
郑斌
李熊
严华江
王伟峰
王龙
谷泓杰
张旭
汪一帆
方舟
何韵
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Zhejiang Electric Power Co Ltd
Marketing Service Center of State Grid Zhejiang Electric Power Co Ltd
Original Assignee
State Grid Zhejiang Electric Power Co Ltd
Marketing Service Center of State Grid Zhejiang Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Zhejiang Electric Power Co Ltd, Marketing Service Center of State Grid Zhejiang Electric Power Co Ltd filed Critical State Grid Zhejiang Electric Power Co Ltd
Priority to CN202111250606.7A priority Critical patent/CN113705936B/en
Publication of CN113705936A publication Critical patent/CN113705936A/en
Application granted granted Critical
Publication of CN113705936B publication Critical patent/CN113705936B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

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
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
    • 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
    • G06Q50/04—Manufacturing
    • 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
    • Y02P80/00—Climate change mitigation technologies for sector-wide applications
    • Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
    • 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
    • Y02P90/30—Computing systems specially adapted for manufacturing
    • 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

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Tourism & Hospitality (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Development Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Educational Administration (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Data Mining & Analysis (AREA)
  • Manufacturing & Machinery (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention provides an energy configuration method, an energy configuration device and a storage medium based on carbon cycle, wherein the energy configuration method comprises the following steps: acquiring a first carbon value which is allowed to be released in a carbon cycle of an enterprise in a first preset time period in the future; generating historical carbon utilization efficiency based on the historical carbon quantity value in the previous second preset time period and the length value of the second preset time period, wherein the historical carbon quantity value is stored in a database; comparing the production efficiency in the first preset time period with the production efficiency in the second preset time period to obtain a production comparison value, and calculating to obtain predicted carbon utilization efficiency, wherein the predicted carbon utilization efficiency is the predicted carbon utilization efficiency in the first preset time period in the future; obtaining the allowed carbon utilization efficiency based on the first carbon quantity value and a first preset time period, and calculating the difference value of the allowed carbon utilization efficiency and the predicted carbon utilization efficiency to obtain the energy-removing and carbon-supplementing efficiency; and the third selected time period is a selected time period in the first preset time period, and the clean energy allocation amount in the third selected time period is generated based on the third selected time period and the energy clearing and carbon supplementing efficiency.

Description

Energy configuration method and device based on carbon cycle and storage medium
Technical Field
The present invention relates to energy allocation technologies, and in particular, to a method, an apparatus, and a storage medium for energy allocation based on carbon cycle.
Background
Carbon cycle refers to the phenomenon that carbon elements are exchanged in the biosphere, the rock circle, the water circle and the atmosphere on the earth and circulate along with the movement of the earth. The carbon cycle in the biosphere is mainly represented by the fact that green plants absorb carbon dioxide from the atmosphere, the carbon dioxide is converted into glucose through photosynthesis under the participation of water, oxygen is released, and organisms synthesize other organic compounds by utilizing the glucose.
The rate at which carbon is taken up by plants, photosynthetic microorganisms, from the atmosphere by photosynthesis is substantially equal to the rate at which carbon is released into the atmosphere by respiration of the organisms, and therefore the carbon dioxide content of the atmosphere is fairly constant until it is disturbed by human activity.
It can be understood that the carbon cycle is a step of carbon release, carbon fixation and carbon release, the value of carbon fixation (carbon absorption) is generally fixed, when the carbon dioxide emission is too much, the carbon release is more, so that a large amount of carbon dioxide cannot be consumed in the carbon cycle process, and at the same time, the carbon dioxide in the atmosphere is increased, which causes some hazards such as greenhouse effect.
In the current time, in order to reduce carbon emission, requirements such as production limit and electricity limit are adopted for a plurality of enterprises, and the purpose of production limit and electricity limit is to reduce the overall carbon emission. When the clean energy is adopted to realize production, corresponding 'carbon emission' cannot be generated, for example, electric energy obtained by adopting a solar power generation mode is clean energy, and compared with electric energy of a coal power generation mode, zero carbon dioxide emission or little carbon dioxide emission is achieved, so that different carbon emissions of different companies need to be determined according to production conditions of the different companies, the clean energy is encouraged to be used for production, and the carbon emission is reduced. However, in the actual production process of an enterprise, how much clean energy is needed for production cannot be mastered so as to meet the requirement of carbon emission.
Disclosure of Invention
The embodiment of the invention provides an energy configuration method, an energy configuration device and a storage medium based on carbon cycle, so that an enterprise can obtain the quantity of clean energy required to be used according to the carbon emission quota, the production condition and the production efficiency of the next time period, and the normal production of the enterprise is ensured.
In a first aspect of embodiments of the present invention, a method for configuring energy based on carbon cycle is provided, including:
acquiring a first carbon value which is allowed to be released in a carbon cycle of an enterprise within a first preset time period in the future based on a data acquisition terminal arranged at the enterprise;
generating historical carbon utilization efficiency based on a historical carbon quantity value in a previous second preset time period and a length value of the second preset time period, wherein the historical carbon quantity value is stored in a database;
comparing the production efficiency in a first preset time period with the production efficiency in a second preset time period to obtain a production comparison value, and calculating to obtain carbon efficiency for prediction based on the production comparison value and historical carbon efficiency, wherein the carbon efficiency for prediction is the carbon efficiency for prediction in a first preset time period in the future;
obtaining an allowed carbon utilization efficiency based on the first carbon quantity value and a first preset time period, and calculating a difference value between the allowed carbon utilization efficiency and a predicted carbon utilization efficiency to obtain an energy-clearing carbon-supplementing efficiency;
and receiving a third selected time period based on an input device, wherein the third selected time period is a selected time period in the first preset time period, and generating a clean energy configuration amount in the third selected time period based on the third selected time period and the energy and carbon removal and supplement efficiency.
Optionally, in a possible implementation manner of the first aspect, the obtaining, based on a data collection end provided at the enterprise, a first carbon amount value that the enterprise is allowed to release in a carbon cycle within a first preset time period in the future includes:
receiving a carbon quota set by a monitoring department on an enterprise in a first preset time period, wherein the carbon quota at least comprises a first carbon quantity value.
Optionally, in a possible implementation manner of the first aspect, the generating the historical carbon efficiency based on the historical carbon amount value in the previous second preset time period and the length value of the second preset time period includes:
acquiring the carbon emission amount of an enterprise every day, and generating a carbon emission set according to a time sequence, wherein the carbon emission amount of each day in the carbon emission set is sorted according to the time sequence;
receiving first selected information of a user, wherein the first selected information comprises a first selected time point and a second selected time point, and a time period between the first selected time point and the second selected time point is a second preset time period;
determining a first carbon emission amount at a corresponding first selected time point and a second carbon emission amount at a second selected time point in a set of carbon emissions based on the first selected time point and the second selected time point, respectively;
historical carbon quantity values are derived based on the first carbon emissions, the second carbon emissions, and carbon emissions per day between the first selected point in time and the second selected point in time.
Optionally, in one possible implementation manner of the first aspect, obtaining the historical carbon amount value based on the first carbon emission amount, the second carbon emission amount, and the carbon emission amount per day between the first selected time point and the second selected time point comprises:
the carbon emission is integrated into
Figure 790648DEST_PATH_IMAGE001
,
Figure 826737DEST_PATH_IMAGE002
Is the first carbon emission for the day corresponding to the first selected time point,
Figure 921732DEST_PATH_IMAGE003
a second carbon emission for a day corresponding to a second selected time point;
the historical carbon efficiency was calculated by the following formula,
Figure 308851DEST_PATH_IMAGE004
，
wherein S is2In order to use the carbon efficiency for the history,
Figure 288440DEST_PATH_IMAGE005
is as followsiThe amount of carbon emissions per day is,pfor the first selected point in time, the time of day,nfor the second selected point in time, the time of day,
Figure 179035DEST_PATH_IMAGE006
the number of days from the first selected time point to the second selected time point is the number of days of the second preset time period.
Optionally, in a possible implementation manner of the first aspect, comparing the production efficiency in the first preset time period with the production efficiency in the second preset time period to obtain a production comparison value, and calculating the predicted carbon efficiency based on the production comparison value and the historical carbon efficiency includes:
obtaining the production efficiency of the first preset time period based on the acquired time day information and the production output value information in the first preset time period;
obtaining the production efficiency of the second preset time period based on the acquired time day information and the production output value information in the second preset time period;
and receiving the configured prediction weight value, and obtaining the carbon efficiency for prediction based on the production efficiency of the first preset time period, the production efficiency of the second preset time period, the prediction weight value and the carbon efficiency for history.
Optionally, in a possible implementation manner of the first aspect, the receiving a configured predicted weight value, and obtaining the carbon efficiency for prediction based on the production efficiency of the first preset time period, the production efficiency of the second preset time period, the predicted weight value, and the carbon efficiency for history includes:
the carbon efficiency for prediction was calculated by the following formula,
Figure 710511DEST_PATH_IMAGE007
wherein,S 1 in order to predict the efficiency of the carbon used,
Figure 319346DEST_PATH_IMAGE005
is as followsiThe amount of carbon emissions per day is,pfor the first selected point in time, the time of day,nfor the second selected point in time, the time of day,N 2 the number of days for the second preset period of time,N 1 the number of days for the first preset period of time,
Figure 227260DEST_PATH_IMAGE008
for the production efficiency of the first preset time period,
Figure 972362DEST_PATH_IMAGE009
for the production efficiency of the second preset time period,
Figure 940318DEST_PATH_IMAGE010
for a first predetermined period of timeThe information of the production value is obtained,
Figure 895504DEST_PATH_IMAGE011
is the production value information of the second preset time period,hare predicted weight values.
Optionally, in a possible implementation manner of the first aspect, obtaining the allowed carbon use efficiency based on the first carbon amount value and a first preset time period, and calculating the difference between the allowed carbon use efficiency and the predicted carbon use efficiency to obtain the energy removal and carbon supplement efficiency includes:
judging that the allowable carbon utilization efficiency is greater than or equal to the predicted carbon utilization efficiency, and then the energy-removing and carbon-supplementing efficiency is 0;
judging that the allowable carbon efficiency is smaller than the predicted carbon efficiency, calculating an energy removal and replenishment efficiency by the following formula,
Figure 607108DEST_PATH_IMAGE012
，
wherein S is3To supplement carbon with energy, G1Is a first amount of carbon, and is,
Figure 206717DEST_PATH_IMAGE013
to allow for carbon efficiencies.
Optionally, in one possible implementation manner of the first aspect, the generating the configured amount of clean energy in the third selected time period based on the third selected time period and the carbon sequestration efficiency includes:
receiving second selected information of a user, wherein the second selected information comprises a third selected time point and a fourth selected time point, and a time period between the third selected time point and the fourth selected time point is a third preset time period;
extracting information of the number of days between the third selected time point and a fourth selected time point;
and obtaining the clean energy allocation amount based on the information of the number of days between the third selected time point and the fourth selected time point and the energy and carbon clearing efficiency.
In a second aspect of the embodiments of the present invention, there is provided an energy configuration apparatus based on carbon cycle, including:
the first acquisition module is used for acquiring a first carbon value which is allowed to be released by the enterprise in a carbon cycle within a first preset time period in the future based on a data acquisition terminal arranged at the enterprise;
the first generation module is used for generating historical carbon utilization efficiency based on a historical carbon quantity value in a previous second preset time period and a length value of the second preset time period, and the historical carbon quantity value is stored in a database;
the first calculation module is used for comparing the production efficiency in a first preset time period with the production efficiency in a second preset time period to obtain a production comparison value, and calculating to obtain carbon efficiency for prediction based on the production comparison value and historical carbon efficiency, wherein the carbon efficiency for prediction is the carbon efficiency for prediction in the first preset time period in the future;
the second calculation module is used for obtaining the allowed carbon utilization efficiency based on the first carbon quantity value and a first preset time period, and calculating the difference value of the allowed carbon utilization efficiency and the predicted carbon utilization efficiency to obtain the energy clearing and carbon supplementing efficiency;
and the second generation module is used for receiving a third selection time period based on an input device, wherein the third selection time period is a time period selected in the first preset time period, and generating the configuration amount of the clean energy in the third selection time period based on the third selection time period and the energy and carbon removing efficiency.
In a third aspect of the embodiments of the present invention, a storage medium is provided, in which a computer program is stored, which, when being executed by a processor, is adapted to implement the method according to the first aspect of the present invention and various possible designs of the first aspect of the present invention.
According to the energy allocation method, the device and the storage medium based on the carbon cycle, provided by the invention, the clean energy allocation amount of an enterprise in any future time period can be obtained by combining the historical carbon emission data of the enterprise, the first carbon amount value allowed to be emitted in the next time period and the production condition (production efficiency) of the next time period, and the clean energy allocation amount of the enterprise in any future time period is guided by the enterprise, so that the condition that the carbon emission exceeds the standard in the production of the enterprise in any future time period can not occur. The technical scheme of the invention can control and allocate the carbon release process in the carbon cycle, so that enterprises can properly use clean energy according to the carbon quota and reduce the carbon release.
The method obtains the carbon efficiency for prediction by the production efficiency of the first preset time period, the production efficiency of the second preset time period, the prediction weight value and the carbon efficiency for history, namely, the carbon efficiency for prediction is predicted by combining the production efficiency for history and the production efficiency for the next time period, so that the carbon efficiency for prediction is more accurate, the prediction weight value is introduced when the carbon efficiency for prediction is calculated, the prediction weight value can be adjusted according to the actual efficiency improvement condition of an enterprise, the obtained carbon efficiency for prediction can take the actual production condition of the enterprise into consideration, and the accuracy of the carbon efficiency for prediction is guaranteed.
The method can obtain the allowed carbon utilization efficiency by breaking the whole of the first carbon value allowed to be released in the carbon cycle in the first preset time period into zero, can determine the carbon utilization condition in unit time according to the predicted carbon utilization efficiency and the allowed carbon utilization efficiency so as to obtain the energy clearing and carbon supplementing efficiency in unit time, and can calculate the clean energy allocation amount in any time period in the first preset time period, thereby facilitating enterprises to set short-term clean energy allocation amount targets, calculating the clean energy allocation amount in sections and the like.
Drawings
FIG. 1 is a flow diagram of a first embodiment of a method for carbon cycle based energy configuration;
FIG. 2 is a flow diagram of a second embodiment of a method for carbon cycle based energy configuration;
fig. 3 is a block diagram of a first embodiment of an energy distribution apparatus based on a carbon cycle.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the internal logic of the processes, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
It should be understood that in the present application, "comprising" and "having" and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that, in the present invention, "a plurality" means two or more. "and/or" is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "comprises A, B and C" and "comprises A, B, C" means that all three of A, B, C comprise, "comprises A, B or C" means that one of A, B, C comprises, "comprises A, B and/or C" means that any 1 or any 2 or 3 of A, B, C comprises.
It should be understood that in the present invention, "B corresponding to a", "a corresponds to B", or "B corresponds to a" means that B is associated with a, and B can be determined from a. Determining B from a does not mean determining B from a alone, but may be determined from a and/or other information. And the matching of A and B means that the similarity of A and B is greater than or equal to a preset threshold value.
As used herein, "if" may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
As shown in fig. 1, the present invention provides a method for configuring energy based on carbon cycle, which specifically includes:
step S110, acquiring a first carbon quantity value which is allowed to be released by the enterprise in a carbon cycle within a first preset time period in the future based on a data acquisition terminal arranged at the enterprise. The first predetermined time period may be a year, a quarter, a month, etc., and each enterprise may be preset with a value of carbon dioxide that can be released during the predetermined time period, which is the first carbon value. In the invention, a receiving end can be set for an enterprise, and the receiving end can be a computer end or a mobile end. A sender (quota) may be set up in the authority, and each enterprise may receive the first carbon number value through the receiver. The first carbon value received by the receiving end of each enterprise is captured through the data acquisition end, and the data acquisition end can be an intelligent terminal with a data acquisition function, a data processing function and a data storage function.
Wherein, step S110 specifically includes:
receiving a carbon quota set by a monitoring department on an enterprise in a first preset time period, wherein the carbon quota at least comprises a first carbon quantity value. In actual life and production, the carbon quota on the carbon emission is usually configured for each enterprise actively by organizations and monitoring departments such as governments, and may also be obtained by the enterprise in an auction manner, and the source of the carbon quota is not limited in any way. The carbon quota may be a first carbon amount value over a certain period of time, for example, 1000000KG of carbon dioxide emitted over a year.
And step S120, generating the carbon efficiency for the history based on the historical carbon value in the previous second preset time period and the length value of the second preset time period. The second preset time period is a historical time, for example, the current time is 31 days 12 and 31 months in 2020, and the second preset time period may be 1 day 1 month in 2020 to 30 days 12 and 30 months in 2020. Each enterprise is pre-configured with a database, and the database is used for storing production and operation data of the enterprise by taking time as a unit. The historical carbon value can be extracted from a database, and each enterprise records the carbon value used every day, every week and every month through the database.
The first predetermined time period is a future time, and the first predetermined time period may be 1/2021 to 12/31/2021. The invention is provided with input equipment, the input equipment can be a mouse, a keyboard and other devices, and the first preset time period can be acquired based on the input equipment and can be actively input by an administrator and a worker.
As shown in fig. 2, step S120 specifically includes:
and step S1201, acquiring the daily carbon emission of the enterprise, and generating a carbon emission set according to a time sequence, wherein the daily carbon emission in the carbon emission set is sorted according to the time sequence. The technical scheme of the invention can calculate the daily carbon emission of an enterprise, and the technical modes of the carbon emission include various ways, for example, electricity, gas and water can be used in the production of an enterprise, the daily carbon emission is (electricity quantity per day, electricity conversion coefficient, gas quantity per day, gas conversion coefficient, water quantity per day and water conversion coefficient), the electricity conversion coefficient is the amount of carbon dioxide generated per degree of electricity, and the like, so that the gas conversion coefficient, the water conversion coefficient and the like are obtained. For example, the daily electric quantity can be obtained through an electric meter, the daily gas quantity can be obtained through a gas meter, and the daily water quantity can be obtained through a water meter.
Step S1202, receiving first selected information of a user, where the first selected information includes a first selected time point and a second selected time point, and a time period between the first selected time point and the second selected time point is a second preset time period. The user may actively select the second predetermined time period, for example, the user wants to obtain the carbon emission corresponding to the time period from 6/1/2020 to 9/1/2020, because the enterprise may be in normal production during this time period, the second predetermined time period is from 6/1/2020 to 9/1/2020, the first selected time point is 6/1/2020, and the second selected time point is 9/1/2020.
Step S1203, determining a first carbon emission amount at a first selected time point and a second carbon emission amount at a second selected time point in the carbon emission set respectively based on the first selected time point and the second selected time point. The present invention first determines a first carbon emission at a first selected time point and a second carbon emission at a second selected time point, for example, the first carbon emission at the first selected time point is 20 tons of carbon emission at 6/1/2020, and the second carbon emission at the second selected time point is 22 tons of carbon emission at 9/1/2020.
And step S1204, obtaining a historical carbon quantity value based on the first carbon emission amount, the second carbon emission amount and the carbon emission amount of each day between the first selected time point and the second selected time point. The invention can count the carbon emission of each day in the period of 2020, 6, 1, 2020, 9, 1 and obtain the total historical carbon value of the second time period.
In one possible embodiment, deriving the historical carbon amount value based on the first carbon emissions, the second carbon emissions, and the carbon emissions per day between the first selected point in time and the second selected point in time comprises:
the carbon emission is integrated into
Figure 79995DEST_PATH_IMAGE014
,
Figure 663423DEST_PATH_IMAGE002
Is the first carbon emission for the day corresponding to the first selected time point,
Figure 647560DEST_PATH_IMAGE003
the second carbon emissions for the day corresponding to the second selected time point.
The historical carbon efficiency was calculated by the following formula,
Figure 741155DEST_PATH_IMAGE004
wherein,
Figure 785335DEST_PATH_IMAGE015
in order to use the carbon efficiency for the history,
Figure 590480DEST_PATH_IMAGE005
is as followsiThe amount of carbon emissions per day is,pfor the first selected point in time, the time of day,nfor the second selected point in time, the time of day,
Figure 643886DEST_PATH_IMAGE006
the number of days from the first selected time point to the second selected time point is the number of days of the second preset time period.
The number of days in the second preset time period in the invention comprises the time corresponding to the first selected time point and the second selected time point, namely the second preset time period comprises two bodies of the first selected time point and the second selected time point.
According to the invention, the total second carbon emission can be obtained through a summation formula, so that all production conditions of an enterprise in a second preset time period, such as normal production, production halt and the like, can be fully considered, and the obtained historical carbon utilization efficiency is more accurate.
Step S130, comparing the production efficiency in the first preset time period with the production efficiency in the second preset time period to obtain a production comparison value, and calculating to obtain carbon efficiency for prediction based on the production comparison value and historical carbon efficiency, wherein the carbon efficiency for prediction is the carbon efficiency for prediction in the first preset time period in the future.
Wherein, step S130 specifically includes:
and obtaining the production efficiency of the first preset time period based on the acquired time day information and the production output value information in the first preset time period. In the invention, when the production efficiency of the first preset time period is calculated, the time day information and the production output value information in the first preset time period are calculated, for example, the time day information in the first preset time period is 365 days, the production output value information is 365000 pieces, the production is 1000 pieces per 1 day by taking the day as a unit, and the production efficiency of the first preset time period is 1000 pieces per day.
And obtaining the production efficiency of the second preset time period based on the acquired time day information and the production output value information in the second preset time period. The time day information in the second preset time period may be 60 days, the production output value information may be 120000 pieces, and the production efficiency of the production efficiency in the second preset time period is 2000 pieces/day.
And receiving the configured prediction weight value, and obtaining the carbon efficiency for prediction based on the production efficiency of the first preset time period, the production efficiency of the second preset time period, the prediction weight value and the carbon efficiency for history. According to the invention, different weighted values can be set according to different conditions of the enterprise, for example, production equipment of the enterprise is upgraded when the first preset time period is compared with the second preset time period, and at the same time, the production efficiency of the first preset time period is inevitably higher than that of the second preset time period under the same condition, so that the possible trend of the carbon utilization efficiency for prediction at the time can be slowed down. The method can obtain the carbon efficiency for prediction according to the production efficiency of the first preset time period, the production efficiency of the second preset time period, the prediction weight value and the carbon efficiency for history, obtain the relation between the carbon efficiency for prediction and the carbon efficiency for history according to the relation between the production efficiency of the first preset time period and the production efficiency of the second preset time period, correct the relation through the prediction weight value, and further obtain the carbon efficiency for prediction, wherein the carbon efficiency for prediction is the average production efficiency and the number of produced pieces of each day in the first preset time period.
In the embodiment of the present invention, preferably, the receiving the configured prediction weight value, and obtaining the carbon efficiency for prediction based on the production efficiency in the first preset time period, the production efficiency in the second preset time period, the prediction weight value, and the carbon efficiency for history includes:
the carbon efficiency for prediction was calculated by the following formula,
Figure 218087DEST_PATH_IMAGE016
wherein,S 1 in order to predict the efficiency of the carbon used,
Figure 557802DEST_PATH_IMAGE005
is as followsiThe amount of carbon emissions per day is,pfor the first selected point in time, the time of day,nfor the second selected point in time, the time of day,
Figure 850243DEST_PATH_IMAGE006
the number of days for the second preset period of time,
Figure 441761DEST_PATH_IMAGE017
the number of days for the first preset period of time,
Figure 136048DEST_PATH_IMAGE008
for the production efficiency of the first preset time period,
Figure 522030DEST_PATH_IMAGE009
for the production efficiency of the second preset time period,
Figure 301767DEST_PATH_IMAGE010
is the production value information of the first preset time period,
Figure 306763DEST_PATH_IMAGE011
is the production value information of the second preset time period,hare predicted weight values.
By passing
Figure 589977DEST_PATH_IMAGE018
The efficiency of the carbon used in the history is obtained,
Figure 412439DEST_PATH_IMAGE019
and
Figure 679473DEST_PATH_IMAGE020
respectively obtaining the production efficiency of the first preset time period and the production efficiency of the second preset time period
Figure 612793DEST_PATH_IMAGE021
Obtaining the variation trend of the production efficiency of the first preset time period and the production efficiency of the second preset time period, and obtaining the variation trend of the production efficiency of the first preset time period and the production efficiency of the second preset time periodhAccording to the method, the production and operation conditions of the enterprise can be obtained, a plurality of dimensional values in the production process of the enterprise can be considered, so that the corresponding carbon utilization efficiency for prediction can be obtained, and the accuracy of the carbon utilization efficiency for prediction is guaranteed.
And step S140, obtaining the allowed carbon utilization efficiency based on the first carbon quantity value and the first preset time period, and calculating the difference value between the allowed carbon utilization efficiency and the predicted carbon utilization efficiency to obtain the energy clearing and carbon supplementing efficiency.
For example, if the first carbon amount value is 100000 tons and the first preset time period is 365 days, the allowable carbon emission amount per day can be obtained by dividing the first carbon amount value by 100000 tons by the first preset time period for 365 days, and the allowable carbon emission amount per day is the allowable carbon efficiency.
For example, the first carbon amount value is 100000 tons, the first preset time period is 365 days, and any one or more of the electric quantity, the gas quantity and the water quantity which can be used by the enterprise is obtained according to the first carbon amount value 100000 tons, then the carbon emission values which respectively correspond to the electric quantity, the gas quantity and the water quantity and are allowed to be discharged are obtained according to the proportion of the electric quantity, the gas quantity and the water quantity used by the enterprise at this time, then the carbon emission values which respectively are allowed to be discharged are divided by 365 to obtain the carbon emission value which can be discharged every day, and at this time, the carbon emission values corresponding to the electric quantity, the gas quantity and the water quantity in every day are added to obtain the allowed carbon efficiency.
The invention can obtain the energy-removing and carbon-supplementing efficiency by a subtraction method, the energy-removing and carbon-supplementing efficiency can be regarded as a gap of carbon emission, corresponding electric quantity and gas quantity need to be provided by adopting a clean energy method, the energy-removing and carbon-supplementing efficiency is carbon emission quantity which needs to be compensated by clean energy every day, for example, the carbon emission quantity which needs to be compensated every day is 1 ton, and the electric quantity value can be obtained by dividing 1 ton by an electric conversion coefficient, and the electric quantity value is a power generation quantity value corresponding to the power generation by adopting the clean energy method. Such as solar power, wind power, tidal power, and the like.
In an embodiment of the present invention, preferably, the obtaining of the allowable carbon utilization efficiency based on the first carbon amount value and the first preset time period, and the calculating of the difference between the allowable carbon utilization efficiency and the predicted carbon utilization efficiency to obtain the energy-clearing carbon-supplementing efficiency includes:
and judging that the allowable carbon utilization efficiency is greater than or equal to the predicted carbon utilization efficiency, and setting the energy clearing and carbon supplementing efficiency to be 0. When the allowable carbon utilization efficiency is greater than or equal to the predicted carbon utilization efficiency, the fact that the carbon emission exceeds the standard is proved to be avoided when normal production is carried out within the first preset time period, and the carbon emission can be still prevented from exceeding the standard without using clean energy.
Judging that the allowable carbon efficiency is smaller than the predicted carbon efficiency, calculating an energy removal and replenishment efficiency by the following formula,
Figure 16093DEST_PATH_IMAGE012
，
wherein,S 3 in order to clear the energy and supplement the carbon efficiency,G 1 is a first amount of carbon, and is,
Figure 134091DEST_PATH_IMAGE013
to allow for carbon efficiencies.
When the allowable carbon utilization efficiency is smaller than the predicted carbon utilization efficiency, the situation that the carbon emission exceeds the standard when normal production is carried out within the first preset time period is proved, clean energy is needed to reduce the emission of carbon dioxide, and the carbon dioxide is obtained by
Figure 622841DEST_PATH_IMAGE013
The calculation yields an allowable carbon utilization efficiency,
Figure 359853DEST_PATH_IMAGE022
namely the exceeding carbon emission efficiency, and the energy clearing and carbon supplementing efficiency is obtained at the moment
Figure 617659DEST_PATH_IMAGE023
The efficiency of energy removal and carbon supplement
Figure 47503DEST_PATH_IMAGE023
Namely the carbon emission value which is required to be compensated by the enterprise every day.
And S150, receiving a third selected time period based on input equipment, wherein the third selected time period is a time period selected in the first preset time period, and generating the configuration quantity of the clean energy in the third selected time period based on the third selected time period and the energy and carbon removing efficiency. The input device may be a keyboard, mouse, or the like.
In a possible embodiment, step S150 specifically includes:
and receiving second selected information of the user, wherein the second selected information comprises a third selected time point and a fourth selected time point, and a time period between the third selected time point and the fourth selected time point is a third preset time period. The third selected time period may be any time period selected within the first predetermined time period, for example, the third selected time point is 2021 year, 3 month, 1 day, and the fourth selected time point is 2021 year, 3 month, 31 day. The third preset time period is from 3/month 1/year 2021 to 3/month 31/year 2021, and the third preset time period includes two endpoints corresponding to 3/month 1/year 2021 and 3/month 31/year 2021.
And extracting the information of the number of days between the third selected time point and the fourth selected time point. The information on the number of days from 1/3/2021 to 31/3/2021 is 31 days.
And obtaining the clean energy allocation amount based on the information of the number of days between the third selected time point and the fourth selected time point and the energy and carbon clearing efficiency. According to the invention, the number of days information is multiplied by the energy clearing and carbon supplementing efficiency to obtain the clean energy configuration amount, the concept of the energy clearing and carbon supplementing efficiency is introduced, so that a user, an enterprise and a user can select the third preset time with any length according to actual needs, and the third preset time with any length can be calculated to obtain the corresponding clean energy configuration amount, so that the enterprise is guided to master the use condition of clean energy.
As shown in fig. 3, the present invention further provides an energy configuration device based on carbon cycle, which specifically includes:
the first acquisition module is used for acquiring a first carbon value which is allowed to be released by the enterprise in a carbon cycle within a first preset time period in the future based on a data acquisition terminal arranged at the enterprise;
the first generation module is used for generating historical carbon utilization efficiency based on a historical carbon quantity value in a previous second preset time period and a length value of the second preset time period, and the historical carbon quantity value is stored in a database;
the first calculation module is used for comparing the production efficiency in a first preset time period with the production efficiency in a second preset time period to obtain a production comparison value, and calculating to obtain carbon efficiency for prediction based on the production comparison value and historical carbon efficiency, wherein the carbon efficiency for prediction is the carbon efficiency for prediction in the first preset time period in the future;
the second calculation module is used for obtaining the allowed carbon utilization efficiency based on the first carbon quantity value and a first preset time period, and calculating the difference value of the allowed carbon utilization efficiency and the predicted carbon utilization efficiency to obtain the energy clearing and carbon supplementing efficiency;
and the second generation module is used for receiving a third selection time period based on an input device, wherein the third selection time period is a time period selected in the first preset time period, and generating the configuration amount of the clean energy in the third selection time period based on the third selection time period and the energy and carbon removing efficiency.
The storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, a storage medium is coupled to the processor such that the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuits (ASIC). Additionally, the ASIC may reside in user equipment. Of course, the processor and the storage medium may reside as discrete components in a communication device. The storage medium may be read-only memory (ROM), random-access memory (RAM), CD-ROMs, magnetic tapes, floppy disks, optical data storage devices, and the like.
The present invention also provides a program product comprising execution instructions stored in a storage medium. The at least one processor of the device may read the execution instructions from the storage medium, and the execution of the execution instructions by the at least one processor causes the device to implement the methods provided by the various embodiments described above.
In the above embodiments of the terminal or the server, it should be understood that the Processor may be a Central Processing Unit (CPU), other general-purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. The energy configuration method based on the carbon cycle is characterized by comprising the following steps:
acquiring a first carbon value which is allowed to be released in a carbon cycle of an enterprise within a first preset time period in the future based on a data acquisition terminal arranged at the enterprise;
generating historical carbon utilization efficiency based on a historical carbon quantity value in a previous second preset time period and a length value of the second preset time period, wherein the historical carbon quantity value is stored in a database;
comparing the production efficiency in a first preset time period with the production efficiency in a second preset time period to obtain a production comparison value, and calculating to obtain carbon efficiency for prediction based on the production comparison value and historical carbon efficiency, wherein the carbon efficiency for prediction is the carbon efficiency for prediction in a first preset time period in the future;
obtaining an allowed carbon utilization efficiency based on the first carbon quantity value and a first preset time period, and calculating a difference value between the allowed carbon utilization efficiency and a predicted carbon utilization efficiency to obtain an energy-clearing carbon-supplementing efficiency;
and receiving a third selected time period based on an input device, wherein the third selected time period is a selected time period in the first preset time period, and generating a clean energy configuration amount in the third selected time period based on the third selected time period and the energy and carbon removal and supplement efficiency.
2. The method for energy distribution based on carbon cycle according to claim 1,
the method for acquiring a first carbon quantity value which is allowed to be released in a carbon cycle of the enterprise within a first preset time period in the future based on a data acquisition terminal arranged at the enterprise comprises the following steps:
receiving a carbon quota set by a monitoring department on an enterprise in a first preset time period, wherein the carbon quota at least comprises a first carbon quantity value.
3. The method for energy distribution based on carbon cycle according to claim 1,
generating the historical carbon efficiency based on the historical carbon value in the previous second preset time period and the length value of the second preset time period comprises:
acquiring the carbon emission amount of an enterprise every day, and generating a carbon emission set according to a time sequence, wherein the carbon emission amount of each day in the carbon emission set is sorted according to the time sequence;
receiving first selected information of a user, wherein the first selected information comprises a first selected time point and a second selected time point, and a time period between the first selected time point and the second selected time point is a second preset time period;
determining a first carbon emission amount at a corresponding first selected time point and a second carbon emission amount at a second selected time point in a set of carbon emissions based on the first selected time point and the second selected time point, respectively;
historical carbon quantity values are derived based on the first carbon emissions, the second carbon emissions, and carbon emissions per day between the first selected point in time and the second selected point in time.
4. The method of claim 3, wherein the energy source configuration based on carbon cycle,
deriving a historical carbon value based on the first carbon emissions, the second carbon emissions, and the carbon emissions per day between the first selected point in time and the second selected point in time comprises:
the carbon emission is integrated into
Figure 25295DEST_PATH_IMAGE001
，
Figure 942436DEST_PATH_IMAGE002
Is the first carbon emission for the day corresponding to the first selected time point,
Figure 456594DEST_PATH_IMAGE003
a second carbon emission for a day corresponding to a second selected time point;
the historical carbon efficiency was calculated by the following formula,
Figure 851803DEST_PATH_IMAGE004
,
wherein,S 2 in order to use the carbon efficiency for the history,
Figure 400596DEST_PATH_IMAGE005
is as followsiThe amount of carbon emissions per day is,pfor the first selected point in time, the time of day,nfor the second selected point in time, the time of day,N 2 the number of days from the first selected time point to the second selected time point is the number of days of the second preset time period.
5. The method for energy distribution based on carbon cycle according to claim 1,
comparing the production efficiency in the first preset time period with the production efficiency in the second preset time period to obtain a production comparison value, and calculating to obtain the carbon efficiency for prediction based on the production comparison value and the historical carbon efficiency comprises the following steps:
obtaining the production efficiency of the first preset time period based on the acquired time day information and the production output value information in the first preset time period;
obtaining the production efficiency of the second preset time period based on the acquired time day information and the production output value information in the second preset time period;
and receiving the configured prediction weight value, and obtaining the carbon efficiency for prediction based on the production efficiency of the first preset time period, the production efficiency of the second preset time period, the prediction weight value and the carbon efficiency for history.
6. The method of claim 5, wherein the energy source configuration based on carbon cycle,
receiving the configured prediction weight value, wherein obtaining the carbon efficiency for prediction based on the production efficiency of the first preset time period, the production efficiency of the second preset time period, the prediction weight value and the carbon efficiency for history comprises:
the carbon efficiency for prediction was calculated by the following formula,
Figure 957479DEST_PATH_IMAGE006
wherein,S 1 in order to predict the efficiency of the carbon used,
Figure 224513DEST_PATH_IMAGE007
is as followsiThe amount of carbon emissions per day is,pfor the first selected point in time, the time of day,nfor the second selected point in time, the time of day,N 2 the number of days for the second preset period of time,N 1 the number of days for the first preset period of time,
Figure 531735DEST_PATH_IMAGE008
for the production efficiency of the first preset time period,
Figure 935034DEST_PATH_IMAGE009
for the production efficiency of the second preset time period,
Figure 928398DEST_PATH_IMAGE010
is the production value information of the first preset time period,
Figure 417148DEST_PATH_IMAGE011
is the production value information of the second preset time period,hare predicted weight values.
7. The method of claim 6, wherein the energy source configuration based on carbon cycle,
calculating an allowed carbon use efficiency based on the first carbon amount value and a first preset time period, wherein calculating a difference between the allowed carbon use efficiency and a predicted carbon use efficiency to obtain a clearing carbon supplement efficiency comprises:
judging that the allowable carbon utilization efficiency is greater than or equal to the predicted carbon utilization efficiency, and then the energy-removing and carbon-supplementing efficiency is 0;
judging that the allowable carbon efficiency is smaller than the predicted carbon efficiency, calculating an energy removal and replenishment efficiency by the following formula,
Figure 154160DEST_PATH_IMAGE012
，
wherein,
Figure 411966DEST_PATH_IMAGE013
in order to clear the energy and supplement the carbon efficiency,
Figure 700865DEST_PATH_IMAGE014
is a first amount of carbon, and is,
Figure 942491DEST_PATH_IMAGE015
to allow for carbon efficiencies.
8. The method for energy distribution based on carbon cycle according to claim 1,
generating a clean energy configuration amount for a third selected time period based on the third selected time period and the energy and carbon removal efficiency comprises:
receiving second selected information of a user, wherein the second selected information comprises a third selected time point and a fourth selected time point, and a time period between the third selected time point and the fourth selected time point is a third preset time period;
extracting information of the number of days between the third selected time point and a fourth selected time point;
and obtaining the clean energy allocation amount based on the information of the number of days between the third selected time point and the fourth selected time point and the energy and carbon clearing efficiency.
9. Energy configuration device based on carbon cycle, characterized by includes:
the first acquisition module is used for acquiring a first carbon value which is allowed to be released by the enterprise in a carbon cycle within a first preset time period in the future based on a data acquisition terminal arranged at the enterprise;
the first generation module is used for generating historical carbon utilization efficiency based on a historical carbon quantity value in a previous second preset time period and a length value of the second preset time period, and the historical carbon quantity value is stored in a database;
the first calculation module is used for comparing the production efficiency in a first preset time period with the production efficiency in a second preset time period to obtain a production comparison value, and calculating to obtain carbon efficiency for prediction based on the production comparison value and historical carbon efficiency, wherein the carbon efficiency for prediction is the carbon efficiency for prediction in the first preset time period in the future;
the second calculation module is used for obtaining the allowed carbon utilization efficiency based on the first carbon quantity value and a first preset time period, and calculating the difference value of the allowed carbon utilization efficiency and the predicted carbon utilization efficiency to obtain the energy clearing and carbon supplementing efficiency;
and the second generation module is used for receiving a third selection time period based on an input device, wherein the third selection time period is a time period selected in the first preset time period, and generating the configuration amount of the clean energy in the third selection time period based on the third selection time period and the energy and carbon removing efficiency.
10. Storage medium, characterized in that a computer program is stored in the storage medium, which computer program, when being executed by a processor, is adapted to carry out the method of any one of claims 1 to 8.
CN202111250606.7A 2021-10-26 2021-10-26 Energy configuration method and device based on carbon cycle and storage medium Active CN113705936B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111250606.7A CN113705936B (en) 2021-10-26 2021-10-26 Energy configuration method and device based on carbon cycle and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111250606.7A CN113705936B (en) 2021-10-26 2021-10-26 Energy configuration method and device based on carbon cycle and storage medium

Publications (2)

Publication Number Publication Date
CN113705936A true CN113705936A (en) 2021-11-26
CN113705936B CN113705936B (en) 2022-02-08

Family

ID=78647045

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111250606.7A Active CN113705936B (en) 2021-10-26 2021-10-26 Energy configuration method and device based on carbon cycle and storage medium

Country Status (1)

Country Link
CN (1) CN113705936B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113988489A (en) * 2021-12-27 2022-01-28 国网浙江省电力有限公司信息通信分公司 Prediction evaluation method and device of electrical carbon factor and readable storage medium
CN114240005A (en) * 2022-02-24 2022-03-25 国网浙江省电力有限公司信息通信分公司 Carbon emission prediction method and device based on multidimensional reference quantity and time series
CN114266423A (en) * 2022-03-03 2022-04-01 国网浙江省电力有限公司信息通信分公司 Multi-model-based power energy demand prediction method and device and storage medium

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120278270A1 (en) * 2011-04-28 2012-11-01 International Business Machines Corporation Selecting solution for carbon emission prediction
CN109272243A (en) * 2018-09-30 2019-01-25 大唐碳资产有限公司 Carbon assets management method and system
CN109784567A (en) * 2019-01-22 2019-05-21 浙江爱立美能源科技有限公司 The prediction technique and device of carbon emission amount
CN112669061A (en) * 2020-12-23 2021-04-16 华电电力科学研究院有限公司 Method, system and device for analyzing excess and shortage of carbon quota of thermal power plant and readable storage medium
CN113095791A (en) * 2021-04-29 2021-07-09 长沙理工大学 Operation method and system of comprehensive energy system
CN113239314A (en) * 2021-04-09 2021-08-10 国网河北省电力有限公司沧州供电分公司 Method, device, terminal and computer-readable storage medium for carbon emission prediction

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120278270A1 (en) * 2011-04-28 2012-11-01 International Business Machines Corporation Selecting solution for carbon emission prediction
CN109272243A (en) * 2018-09-30 2019-01-25 大唐碳资产有限公司 Carbon assets management method and system
CN109784567A (en) * 2019-01-22 2019-05-21 浙江爱立美能源科技有限公司 The prediction technique and device of carbon emission amount
CN112669061A (en) * 2020-12-23 2021-04-16 华电电力科学研究院有限公司 Method, system and device for analyzing excess and shortage of carbon quota of thermal power plant and readable storage medium
CN113239314A (en) * 2021-04-09 2021-08-10 国网河北省电力有限公司沧州供电分公司 Method, device, terminal and computer-readable storage medium for carbon emission prediction
CN113095791A (en) * 2021-04-29 2021-07-09 长沙理工大学 Operation method and system of comprehensive energy system

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113988489A (en) * 2021-12-27 2022-01-28 国网浙江省电力有限公司信息通信分公司 Prediction evaluation method and device of electrical carbon factor and readable storage medium
CN113988489B (en) * 2021-12-27 2022-04-12 国网浙江省电力有限公司信息通信分公司 Prediction evaluation method and device of electrical carbon factor and readable storage medium
CN114240005A (en) * 2022-02-24 2022-03-25 国网浙江省电力有限公司信息通信分公司 Carbon emission prediction method and device based on multidimensional reference quantity and time series
CN114240005B (en) * 2022-02-24 2022-06-03 国网浙江省电力有限公司信息通信分公司 Carbon emission prediction method and device based on multidimensional reference quantity and time series
CN114266423A (en) * 2022-03-03 2022-04-01 国网浙江省电力有限公司信息通信分公司 Multi-model-based power energy demand prediction method and device and storage medium
CN114266423B (en) * 2022-03-03 2022-07-29 国网浙江省电力有限公司信息通信分公司 Multi-model-based power energy demand prediction method and device and storage medium

Also Published As

Publication number Publication date
CN113705936B (en) 2022-02-08

Similar Documents

Publication Publication Date Title
CN113705936B (en) Energy configuration method and device based on carbon cycle and storage medium
CN114091980B (en) Carbon emission calculation method and device based on distributed monitoring and storage medium
CN113609443A (en) Block chain-based carbon footprint tracking processing method and device and storage medium
CN113988489B (en) Prediction evaluation method and device of electrical carbon factor and readable storage medium
CN114119290B (en) Monitoring and identifying method and device suitable for carbon emission data and storage medium
CN113112315B (en) Electric power frequency modulation transaction auxiliary decision-making method and system
CN114336651B (en) Power scheduling method and device based on peak clipping potential
CN101052067A (en) Intelligent traffic predicting method
CN113592156A (en) Power plant coal quantity scheduling method and device, terminal equipment and storage medium
CN115907218A (en) Power system production distribution method and system considering carbon emission reduction situation
CN116526584B (en) Green power traceability-based virtual power plant quick response regulation and control method
CN116228225B (en) Matching method and system for automatic matching wallet by online recharging
CN116167669B (en) Carbon emission assessment method based on power consumption regression
CN114676931B (en) Electric quantity prediction system based on data center technology
CN115187061A (en) User side green electricity configuration method, device, equipment and storage medium
CN115049314A (en) Method for optimizing scale of self-contained fleet of main line transportation
CN113988529A (en) Evaluation method for power distribution network planning, electronic device and computer-readable storage medium
CN106786523A (en) Consider that new electricity changes distributed power source and micro-capacitance sensor the operation interactive approach of policy implication
CN111553571A (en) Method for sharing annual base electric quantity of fossil energy power plant
CN118611157B (en) Wind energy utilization method and system for mariculture
CN116933975A (en) Marketing fee management method, system, equipment and medium
CN118552217B (en) Electric-carbon cooperative data processing method, equipment and storage medium
CN113077096B (en) Method for determining planned electricity proportion of electric power transaction center
CN116258517B (en) Method for obtaining optimal promotion strategy by combining distributed computing power and consumer life value
CN114596667B (en) Data sharing method, system and computer storage medium

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