CN114118585A - Energy-saving emission-reducing scheme selection method and device, electronic equipment and storage medium - Google Patents

Energy-saving emission-reducing scheme selection method and device, electronic equipment and storage medium Download PDF

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CN114118585A
CN114118585A CN202111434616.6A CN202111434616A CN114118585A CN 114118585 A CN114118585 A CN 114118585A CN 202111434616 A CN202111434616 A CN 202111434616A CN 114118585 A CN114118585 A CN 114118585A
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saving
carbon
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李瑛�
张宏宇
陈浩
陈波
邓华
李伟
郑新业
宋枫
杜宏宇
杨闰熹
王方敏
席嫣娜
鞠力
汤奕
王思涵
宝海龙
闫浩博
刘思敏
金璐
童浩龙
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Renmin University of China
State Grid Corp of China SGCC
State Grid Beijing Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Beijing Electric Power Co Ltd
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Renmin University of China
State Grid Corp of China SGCC
State Grid Beijing Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Beijing Electric Power Co Ltd
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Abstract

The invention discloses a method and a device for selecting an energy-saving emission-reducing scheme, electronic equipment and a storage medium. The selection method comprises the following steps: acquiring constraint data, calculating investment data of each pre-selected energy-saving low-carbon strategy by adopting a pre-constructed optimization model based on the constraint data to obtain a plurality of optimization result data, and selecting the pre-selected energy-saving low-carbon strategy indicated by the minimum energy-saving and emission-reducing cost as an energy-saving and emission-reducing scheme, wherein the energy-saving and emission-reducing scheme is used for performing carbon emission reduction operation on the target property industry. The invention solves the technical problems that a plurality of energy-saving low-carbon strategies cannot be refined in the related technology, so that the energy-saving low-carbon strategies cannot be operated, and the carbon emission reduction operation of the real estate industry is influenced.

Description

Energy-saving emission-reducing scheme selection method and device, electronic equipment and storage medium
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a device for selecting an energy-saving and emission-reducing scheme, electronic equipment and a storage medium.
Background
With the increasing importance of energy and environmental issues, the application of energy-saving and low-carbon strategies is gradually leading in the numerous measures for achieving the dual-carbon goal. However, the existing energy-saving low-carbon strategies are numerous, and the most appropriate energy-saving low-carbon strategy needs to be analyzed.
At present, the problem of huge energy conservation and emission reduction cost is still outstanding, the popularization rate of the energy conservation and low carbon strategy in the industry is not high, the knowledge on the energy conservation and emission reduction cost is insufficient, and the like. Therefore, in order to achieve the emission reduction target with the most economical scheme, optimization research on energy-saving emission reduction strategies is required.
The real estate industry is taken as a typical high-energy-consumption and high-emission industry, so that the implementation and implementation of an energy-saving and low-carbon strategy in the real estate industry is a necessary way for achieving the double-carbon goal. In the related art, in order to realize the double-carbon target, many researches are focused on industrial structure optimization and macroscopic energy conservation and emission reduction strategy optimization, including the following two types: (1) the optimization method of the macro level comprises the steps of predicting the evolution of an energy-saving and emission-reducing cost curve by using an input-output and metering optimization combined model, and putting the energy-saving and emission-reducing targets on the specific energy-saving and emission-reducing quantity of each stage, however, the responsibility of energy-saving and emission-reducing finally falls on the shoulders of each enterprise of each industry, and the optimization research of the macro level cannot provide a specific emission-reducing scheme for the industry; (2) the industrial structure optimization mainly refers to the adjustment of the industry, although the method can reduce the total carbon emission, the specific implementation is difficult, all industries mainly take the economic benefits of the industries, and the realization of carbon neutralization cannot be accelerated only by adjusting the industrial structure.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides a method and a device for selecting an energy-saving and emission-reducing scheme, electronic equipment and a storage medium, and aims to at least solve the technical problems that a plurality of energy-saving and low-carbon strategies cannot be refined in the related technology, so that the energy-saving and low-carbon strategies cannot be operated, and the carbon emission-reducing operation of the real estate industry is influenced.
According to an aspect of the embodiment of the present invention, a method for selecting an energy saving and emission reduction scheme is provided, including: obtaining constraint data, wherein the constraint data comprises at least: energy-saving emission-reduction budget data of each pre-selected energy-saving low-carbon strategy, operation cost data of each pre-selected energy-saving low-carbon strategy, emission-reduction gas quantity data, energy consumption data and popularization rate data of each pre-selected energy-saving low-carbon strategy; calculating investment data of each preselected energy-saving low-carbon strategy by adopting a pre-constructed optimization model based on the constraint data to obtain a plurality of optimization result data, wherein each optimization result data comprises energy-saving and emission-reducing cost; and selecting a pre-selected energy-saving low-carbon strategy indicated by the minimum energy-saving and emission-reducing cost as an energy-saving and emission-reducing scheme, wherein the energy-saving and emission-reducing scheme is used for carrying out carbon emission reduction operation on the target property industry.
Optionally, before acquiring the constraint data, the selecting method further includes: acquiring parameter data of each initial energy-saving low-carbon strategy in an initial energy-saving low-carbon strategy set in a historical process, wherein the initial energy-saving low-carbon strategy set comprises the following steps: a plurality of initial energy-saving low-carbon strategies, wherein the parameter data at least comprises: initial investment cost, operation and maintenance cost, annual emission reduction and life cycle; and calculating the unit emission reduction cost of each initial energy-saving low-carbon strategy based on the parameter data.
Optionally, after calculating the unit emission reduction cost of each initial energy-saving low-carbon strategy based on the parameter data, the selecting method further includes: sequencing the unit emission reduction cost of each initial energy-saving low-carbon strategy to obtain a sequencing result; and based on the sequencing result, selecting an initial energy-saving low-carbon strategy with unit emission reduction cost smaller than a preset value, and taking the selected initial energy-saving low-carbon strategy as the pre-selection energy-saving low-carbon strategy.
Optionally, the step of calculating investment data of each preselected energy-saving low-carbon strategy by using a pre-constructed optimization model based on the constraint data includes: determining a decision variable of the optimization model, wherein the decision variable is used for determining the investment amount of the target property industry for each energy-saving and low-carbon strategy; determining an objective function of the optimization model, wherein the objective function is used for selecting the minimum energy saving and emission reduction cost in a specified time period, and the energy saving and emission reduction cost at least comprises the following steps: initial investment costs and operational costs; determining constraints of the optimization model, wherein the constraints at least comprise: energy conservation and emission reduction budget of each pre-selected energy conservation and low carbon strategy, operation cost of each pre-selected energy conservation and low carbon strategy, emission reduction gas quantity, energy use amount and popularization rate limit of each pre-selected energy conservation and low carbon strategy; and calculating investment data of each pre-selected energy-saving low-carbon strategy based on the constraint data, the decision variables, the objective function and the constraint conditions.
Optionally, the step of determining an objective function of the optimization model includes: acquiring the initial investment amount of each pre-selected energy-saving low-carbon strategy, the unit emission reduction operation cost of each pre-selected energy-saving low-carbon strategy and the emission reduction gas amount of each pre-selected energy-saving low-carbon strategy in a first preset time period; determining an objective function of the optimization model based on the initial investment amount, the unit emission reduction operation cost and the emission reduction gas amount.
Optionally, the step of determining the constraints of the optimization model includes: acquiring a total investment budget value of the preselected energy-saving low-carbon strategy, a total operation cost value of the preselected energy-saving low-carbon strategy of the target property industry, a preset emission reduction gas total amount, a preset energy-saving quantity of the target property industry in a second preset time period and a preset popularization rate; and obtaining constraint conditions based on the total investment budget value, the total operation cost value, the preset emission reduction gas total amount, the preset energy-saving amount and the preset popularization rate of the preselected energy-saving low-carbon strategy.
According to another aspect of the embodiments of the present invention, there is also provided a selecting device of an energy saving and emission reduction scheme, including: a first obtaining unit, configured to obtain constraint data, where the constraint data at least includes: energy-saving emission-reduction budget data of each pre-selected energy-saving low-carbon strategy, operation cost data of each pre-selected energy-saving low-carbon strategy, emission-reduction gas quantity data, energy consumption data and popularization rate data of each pre-selected energy-saving low-carbon strategy; the first calculation unit is used for calculating investment data of each preselected energy-saving low-carbon strategy by adopting a pre-constructed optimization model based on the constraint data to obtain a plurality of optimization result data, wherein each optimization result data comprises energy-saving and emission-reducing cost; the energy-saving and emission-reducing system comprises a selecting unit and a controlling unit, wherein the selecting unit is used for selecting a pre-selected energy-saving low-carbon strategy indicated by the minimum energy-saving and emission-reducing cost as an energy-saving and emission-reducing scheme, and the energy-saving and emission-reducing scheme is used for carrying out carbon emission-reducing operation on the target property industry.
Optionally, before acquiring the constraint data, the selecting device further includes: a second obtaining unit, configured to obtain parameter data of each initial energy-saving low-carbon policy in an initial energy-saving low-carbon policy set in a historical process, where the initial energy-saving low-carbon policy set includes: a plurality of initial energy-saving low-carbon strategies, wherein the parameter data at least comprises: initial investment cost, operation and maintenance cost, annual emission reduction and life cycle; and the second calculating unit is used for calculating the unit emission reduction cost of each initial energy-saving low-carbon strategy based on the parameter data.
Optionally, the selecting device further includes: : the first sequencing module is used for sequencing the unit emission reduction cost of each initial energy-saving low-carbon strategy to obtain a sequencing result after calculating the unit emission reduction cost of each initial energy-saving low-carbon strategy based on the parameter data; and the first selection module is used for selecting an initial energy-saving low-carbon strategy with unit emission reduction cost smaller than a preset value based on the sequencing result, and taking the selected initial energy-saving low-carbon strategy as the pre-selection energy-saving low-carbon strategy.
Optionally, the first computing unit includes: the first determination module is used for determining decision variables of the optimization model, wherein the decision variables are used for determining investment amount of the target property industry for various energy-saving and low-carbon strategies; a second determining module, configured to determine an objective function of the optimization model, where the objective function is used to select a minimum energy saving and emission reduction cost within a specified time period, and the energy saving and emission reduction cost at least includes: initial investment costs and operational costs; a third determining module, configured to determine constraints of the optimization model, where the constraints at least include: energy conservation and emission reduction budget of each pre-selected energy conservation and low carbon strategy, operation cost of each pre-selected energy conservation and low carbon strategy, emission reduction gas quantity, energy use amount and popularization rate limit of each pre-selected energy conservation and low carbon strategy; and the first calculation module is used for calculating investment data of each pre-selected energy-saving low-carbon strategy based on the constraint data, the decision variables, the objective function and the constraint conditions.
Optionally, the second determining module includes: the first obtaining submodule is used for obtaining the initial investment amount of each pre-selected energy-saving low-carbon strategy, the unit emission reduction operation cost of each pre-selected energy-saving low-carbon strategy and the emission reduction gas amount of each pre-selected energy-saving low-carbon strategy in a first preset time period; a first determination submodule for determining an objective function of the optimization model based on the initial investment amount, the unit emission reduction operation cost, and the emission reduction gas amount.
Optionally, the third determining module includes: a second obtaining submodule, configured to obtain a total investment budget value of the preselected energy-saving low-carbon strategy, a total operation cost value of the preselected energy-saving low-carbon strategy in the target property industry, a preset emission reduction gas total amount, a preset energy-saving quantity in a second preset time period in the target property industry, and a preset popularization rate; and the first output submodule is used for obtaining a constraint condition based on the total investment precalculated value, the total operation cost value, the preset emission reduction gas total amount, the preset energy-saving amount and the preset popularization rate of the preselected energy-saving low-carbon strategy.
According to another aspect of the embodiments of the present invention, there is also provided a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute any one of the above methods for selecting an energy saving and emission reduction scheme via executing the executable instructions.
According to another aspect of the embodiment of the present invention, a computer-readable storage medium is further provided, where the computer-readable storage medium includes a stored computer program, and when the computer program runs, the device where the computer-readable storage medium is located is controlled to execute any one of the above methods for selecting an energy saving and emission reduction scheme.
In the method, constraint data are obtained, investment data of each pre-selected energy-saving low-carbon strategy are calculated by adopting a pre-constructed optimization model based on the constraint data, a plurality of optimization result data are obtained, and the pre-selected energy-saving low-carbon strategy indicated by the minimum energy-saving and emission-reducing cost is selected as an energy-saving and emission-reducing scheme, wherein the energy-saving and emission-reducing scheme is used for performing carbon emission-reducing operation on a target property industry. According to the method, an optimal energy-saving low-carbon strategy of the real estate industry under the aim of realizing double-carbon can be obtained through an optimization model established by the aim of minimizing the energy-saving and emission-reducing cost, the emission-reducing aim can be realized by the minimum cost by adopting the optimal energy-saving low-carbon strategy, a detailed and reliable emission-reducing plan can be made for the real estate industry, emission-reducing work is dropped to the real place, and the technical problems that the energy-saving low-carbon strategy cannot be operated and carbon emission-reducing operation of the real estate industry is influenced due to the fact that a plurality of energy-saving low-carbon strategies cannot be refined in the related technology are solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a flowchart of a method for selecting an alternative energy saving and emission reduction scheme according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an alternative industry energy saving low carbon strategy selection method according to an embodiment of the invention;
fig. 3 is a schematic diagram of a selecting device of an energy saving and emission reduction scheme according to an embodiment of the invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above 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. Furthermore, the terms "comprises," "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.
To facilitate understanding of the invention by those skilled in the art, some terms or nouns referred to in the embodiments of the invention are explained below:
and (3) double carbon: including carbon neutralization and carbon peaking.
Carbon neutralization: namely energy conservation and emission reduction, the method is that enterprises, groups or individuals measure and calculate the total amount of greenhouse gas emission generated directly or indirectly within a certain time, and carbon dioxide emission generated by the enterprises, groups or individuals is counteracted through modes of afforestation, energy conservation and emission reduction and the like.
Carbon peak reaching: the carbon emission enters a stable descending stage after entering a plateau stage.
The following embodiments of the invention can be applied to various scenes needing to select the energy-saving low-carbon strategy, and the optimal energy-saving low-carbon strategy of the real estate industry under the goal of realizing double carbon can be obtained by the method of the embodiments of the invention.
According to the embodiment of the invention, each energy-saving low-carbon strategy can be firstly subjected to cost-benefit analysis, then a plurality of energy-saving low-carbon strategies with lower unit emission reduction cost in the real estate industry are screened out, a strategy optimization model for realizing the double-carbon target is established by taking the minimization of the total energy-saving emission reduction cost under the double-carbon target as a target, and the model can be solved by adopting preset software (for example, Mat lab software) to obtain the optimal energy-saving low-carbon strategy under the double-carbon target realization in the real estate industry, so that the emission reduction target can be realized at the minimum cost, a detailed and reliable emission reduction plan can be formulated for the real estate industry, the emission reduction work is further carried out to the real site, and in the model, on the basis of considering the emission reduction target constraint, the influence of emission reduction on economy and employment is also considered, so that the obtained emission reduction strategy has practical significance.
Example one
In accordance with an embodiment of the present invention, there is provided an energy saving and emission reduction scheme selection method embodiment, it is noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be performed in an order different than that described herein.
Fig. 1 is a flowchart of a method for selecting an alternative energy saving and emission reduction scheme according to an embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
step S102, acquiring constraint data, wherein the constraint data at least comprises: the energy-saving and emission-reducing budget data of each pre-selected energy-saving and low-carbon strategy, the operation cost data of each pre-selected energy-saving and low-carbon strategy, the emission-reducing gas quantity data, the energy consumption data and the popularization rate data of each pre-selected energy-saving and low-carbon strategy.
And S104, calculating investment data of each pre-selected energy-saving low-carbon strategy by adopting a pre-constructed optimization model based on the constraint data to obtain a plurality of optimization result data, wherein each optimization result data comprises energy-saving and emission-reducing cost.
And S106, selecting a pre-selected energy-saving low-carbon strategy indicated by the minimum energy-saving and emission-reducing cost as an energy-saving and emission-reducing scheme, wherein the energy-saving and emission-reducing scheme is used for carrying out carbon emission reduction operation on the target property industry.
Through the steps, constraint data can be obtained, investment data of each pre-selected energy-saving low-carbon strategy is calculated by adopting a pre-constructed optimization model based on the constraint data, a plurality of optimization result data are obtained, and the pre-selected energy-saving low-carbon strategy indicated by the minimum energy-saving and emission-reducing cost is selected as an energy-saving and emission-reducing scheme, wherein the energy-saving and emission-reducing scheme is used for performing carbon emission-reducing operation on the target property industry. In the embodiment of the invention, the optimal energy-saving low-carbon strategy of the real estate industry under the aim of realizing double-carbon can be obtained through the optimization model established by the aim of minimizing the energy-saving and emission-reducing cost, the energy-saving low-carbon strategy can be adopted to realize the emission-reducing aim at the minimum cost, a detailed and reliable emission-reducing plan can be formulated for the real estate industry, the emission-reducing work is further carried out, and the technical problems that the energy-saving low-carbon strategy cannot be operated and the carbon emission-reducing operation of the real estate industry is influenced because a plurality of energy-saving low-carbon strategies cannot be refined in the related technology are solved.
The following will explain the embodiments of the present invention in detail with reference to the above steps.
In the embodiment of the present invention, before acquiring constraint data, the selecting method further includes: acquiring parameter data of each initial energy-saving low-carbon strategy in an initial energy-saving low-carbon strategy set in a historical process, wherein the initial energy-saving low-carbon strategy set comprises the following steps: the method comprises the following steps that a plurality of initial energy-saving low-carbon strategies are adopted, and parameter data at least comprise: initial investment cost, operation and maintenance cost, annual emission reduction and life cycle; and calculating the unit emission reduction cost of each initial energy-saving low-carbon strategy based on the parameter data.
In the embodiment of the invention, the unit emission reduction cost of each energy-saving low-carbon strategy is calculated according to various parameters of the energy-saving low-carbon strategy of the real estate industry, which are mainly popularized in recent years (namely, the parameter data of each initial energy-saving low-carbon strategy in the initial energy-saving low-carbon strategy set in the historical process can be acquired). The collection and arrangement of the energy-saving low-carbon strategy and the related parameters (i.e. the initial energy-saving low-carbon strategy and the parameter data thereof) are the basis of the whole optimization model, wherein the parameter data includes but is not limited to: the name and application range of the energy-saving low-carbon strategy, initial investment cost, annual emission reduction capability, annual energy-saving capability, future industry popularization rate, operation maintenance cost, life cycle and the like, and the energy-saving low-carbon strategy is further subjected to cost benefit analysis according to the data information (namely parameter data), and the specific process is as follows:
the energy-saving low-carbon strategy of the real estate industry which is intensively popularized in recent years is organized, and the main contents include but are not limited to: initial investment amount, annual emission reduction capability, annual energy saving capability, operation and maintenance cost, technical life cycle and the like, for example, a temperature and humidity independent regulation system strategy, a heat pump two-stage compression frequency conversion enthalpy increasing energy saving strategy and the like.
After the parameter data are obtained, the unit emission reduction cost of each energy-saving low-carbon strategy in the real estate industry can be calculated according to the investment amount, the operation and maintenance cost, the annual emission reduction capability and the life cycle of the technology (namely, the unit emission reduction cost of each initial energy-saving low-carbon strategy is calculated based on the parameter data), and the calculation formula is as follows:
Figure BDA0003381183160000071
wherein, UCi,tRepresenting the unit energy-saving and emission-reducing cost of an energy-saving low-carbon strategy i; i isi,tRepresenting the initial investment amount of the energy-saving low-carbon strategy i in the initial investment year t; OM (open field programmable gate array)iRepresenting the annual operation cost of an energy-saving low-carbon strategy i; r represents the discount rate; e represents a year's decrement; t isiAnd (4) representing the life cycle of the energy-saving low-carbon strategy i.
Optionally, after calculating the unit emission reduction cost of each initial energy-saving low-carbon strategy based on the parameter data, the selecting method further includes: sequencing the unit emission reduction cost of each initial energy-saving low-carbon strategy to obtain a sequencing result; and based on the sequencing result, selecting an initial energy-saving low-carbon strategy with unit emission reduction cost smaller than a preset value, and taking the selected initial energy-saving low-carbon strategy as a pre-selection energy-saving low-carbon strategy.
In the embodiment of the invention, all energy-saving low-carbon strategies (namely initial energy-saving low-carbon strategies) in the real estate industry can be sequenced according to the unit emission reduction cost, a plurality of (for example, 20 to 30) energy-saving low-carbon strategies with smaller unit emission reduction cost (namely, the initial energy-saving low-carbon strategies with unit emission reduction cost smaller than a preset value (which can be set by actual conditions) are selected), and the selected initial energy-saving low-carbon strategies are used as the pre-selection energy-saving low-carbon strategies.
Step S102, acquiring constraint data, wherein the constraint data at least comprises: the energy-saving and emission-reducing budget data of each pre-selected energy-saving and low-carbon strategy, the operation cost data of each pre-selected energy-saving and low-carbon strategy, the emission-reducing gas quantity data, the energy consumption data and the popularization rate data of each pre-selected energy-saving and low-carbon strategy.
In the embodiment of the invention, some constraint data can be obtained and used for inputting the constraint data into the optimization model, and the investment amount data of each pre-selected energy-saving low-carbon strategy is obtained through calculation, so that the optimal energy-saving low-carbon strategy can be selected for implementation.
And S104, calculating investment data of each pre-selected energy-saving low-carbon strategy by adopting a pre-constructed optimization model based on the constraint data to obtain a plurality of optimization result data, wherein each optimization result data comprises energy-saving and emission-reducing cost.
Optionally, the step of calculating investment data of each preselected energy-saving low-carbon strategy by using a pre-constructed optimization model based on the constraint data includes: determining decision variables of the optimization model, wherein the decision variables are used for determining the investment amount of the target property industry on various energy-saving and low-carbon strategies; determining an objective function of the optimization model, wherein the objective function is used for selecting the minimum energy saving and emission reduction cost in a specified time period, and the energy saving and emission reduction cost at least comprises the following steps: initial investment costs and operational costs; determining constraints of the optimization model, wherein the constraints at least comprise: energy conservation and emission reduction budget of each pre-selected energy conservation and low carbon strategy, operation cost of each pre-selected energy conservation and low carbon strategy, emission reduction gas quantity, energy use amount and popularization rate limit of each pre-selected energy conservation and low carbon strategy; and calculating investment data of each pre-selected energy-saving low-carbon strategy based on the constraint data, the decision variables, the objective function and the constraint conditions.
In the embodiment of the invention, a decision variable of the optimization model can be determined firstly, and the decision variable can comprise the investment amount of the local production industry for each energy-saving low-carbon strategy every year (namely the decision variable is used for determining the investment amount of the target local production industry for each energy-saving low-carbon strategy); determining an objective function of an optimization model, wherein the objective function can be the minimum of the sum of the total initial investment and the total operation cost of the energy-saving low-carbon strategy (namely the objective function is used for selecting the minimum energy-saving emission-reduction cost in a specified time period, and the minimum energy-saving emission-reduction cost comprises the initial investment cost, the operation cost and the like); the constraint conditions are determined, and the constraint conditions related to three aspects of economy, environment and society can be considered, such as: the method comprises the following steps of calculating the total budget constraint of the energy-saving low-carbon strategy (namely the energy-saving emission-reducing budget of each pre-selected energy-saving low-carbon strategy), the operation cost constraint (namely the operation cost of each pre-selected energy-saving low-carbon strategy), the carbon dioxide emission reduction target constraint (namely the emission reduction gas quantity), the energy-saving target constraint (namely the energy consumption), the expected industry popularization rate limit of the emission reduction technology (namely the popularization rate limit of each pre-selected energy-saving low-carbon strategy), the economic guarantee constraint, the decision variable non-negativity constraint and the like, and then calculating the investment data of each pre-selected energy-saving low-carbon strategy through the constraint data, the decision variable, the objective function and the constraint conditions.
In the embodiment of the invention, the decision variable of the optimization model can be determined as the investment amount x of the local production industry for each energy-saving and low-carbon strategyi,tWherein x isi,tAnd the initial investment amount of the real estate industry to the energy-saving low-carbon strategy i in t years is shown.
Optionally, the step of determining an objective function of the optimization model includes: acquiring the initial investment amount of each pre-selected energy-saving low-carbon strategy, the unit emission reduction operation cost of each pre-selected energy-saving low-carbon strategy and the emission reduction gas amount of each pre-selected energy-saving low-carbon strategy in a first preset time period; and determining an objective function of the optimization model based on the initial investment amount, the unit emission reduction operation cost and the emission reduction gas quantity.
In the embodiment of the invention, an objective function of the optimization model is determined, namely the emission reduction total cost is minimized, wherein the emission reduction cost comprises the following steps: initial investment cost and operation cost of the energy-saving low-carbon strategy and the like. In this embodiment, the initial investment amount of each pre-selected energy-saving low-carbon strategy (for example, the initial investment amount of the real estate industry for the energy-saving low-carbon strategy i in the t year), the unit emission reduction operation cost of each pre-selected energy-saving low-carbon strategy (for example, the unit emission reduction operation cost of the energy-saving low-carbon strategy i in the t year), and the emission reduction gas amount of each pre-selected energy-saving low-carbon strategy (for example, the carbon dioxide emission reduction amount of the energy-saving low-carbon strategy i in the t year) in a first preset time period (for example, in a certain year) may be obtained, and the total emission reduction cost in the certain time period may be calculated by using formula (1) (i.e., an objective function of the optimization model).
Figure BDA0003381183160000091
Wherein c represents the total cost of energy conservation and emission reduction in the research period, R represents the discount rate, xi, t represents the initial investment amount of the property industry in the t year on the energy-saving low-carbon strategy i, year represents the current year, OMi,tRepresents the unit emission reduction operation cost of the energy-saving low-carbon strategy i in the t year,
Figure BDA0003381183160000092
is shown asAnd (5) in t year, energy is saved, and carbon dioxide emission is reduced by a low-carbon strategy i.
Optionally, the step of determining the constraint condition of the optimization model includes: acquiring a total investment budget value of a preselected energy-saving low-carbon strategy, a total operation cost value of the preselected energy-saving low-carbon strategy of the target property industry, a preset emission reduction gas total amount, a preset energy-saving quantity of the target property industry in a second preset time period and a preset popularization rate; and obtaining constraint conditions based on the total investment precalculated value, the total operation cost value, the preset emission reduction gas total amount, the preset energy-saving amount and the preset popularization rate of the pre-selected energy-saving low-carbon strategy.
In the embodiment of the invention, the following seven types of constraint conditions can be considered by determining the constraint conditions and combining the characteristics of the real estate industry from the aspects of economic and social development and environmental protection:
(1) the constraint of the total budget of the energy-saving low-carbon strategy (namely the energy-saving emission-reduction budget of the pre-selected energy-saving low-carbon strategy) has the upper limit constraint on the input cost of the energy-saving low-carbon strategy because the healthy and stable development of the real estate industry is also guaranteed during energy saving and emission reduction, and the constraint conditions are as follows:
Figure BDA0003381183160000093
wherein year represents the current year, and IB represents the total investment budget value of the energy-saving low-carbon strategy of the real estate industry (namely the total investment budget value of the pre-selected energy-saving low-carbon strategy).
(2) The constraint of the operation cost (namely, the operation cost of the preselected energy-saving low-carbon strategy), because the operation cost of some energy-saving low-carbon strategies is a significant expenditure, the high operation cost can have adverse effects on the liquidity and stability of the cash flow of an investor, therefore, the upper limit of the total operation cost of the investment portfolio is set, and the constraint conditions are as follows:
Figure BDA0003381183160000101
wherein OB represents the upper limit value of the total operating cost of the energy-saving low-carbon strategy of the property industry (namely, the total operating cost value of the preselected energy-saving low-carbon strategy of the target property industry).
(3) The carbon dioxide emission reduction target constraint (namely emission reduction gas quantity) is that in order to achieve the aim of 'double carbon', the annual carbon dioxide emission quantity of the real estate industry is strictly limited, the annual carbon dioxide quantity to be reduced in the real estate industry in a certain area can be obtained according to the emission path of carbon neutralization, the predicted value of the actual carbon emission in the area and the carbon emission percentage of the historical year of the real estate industry, the annual carbon dioxide emission reduction quantity of the real estate industry is not less than the quantity which the real estate industry must reduce emission, and the constraint conditions are as follows:
Figure BDA0003381183160000102
wherein E isiRepresenting the energy-saving low-carbon strategy I when the initial investment cost is Ii,tThe decrement of (d); TEtIndicating the amount of carbon dioxide reduction (i.e., the preset total emission reduction gas) that must be achieved by the property industry in the t year for a "dual carbon target".
(4) The energy-saving target constraint (namely the energy consumption) is that the real estate industry consumes a large amount of energy in the links of building engineering and building transportation, so the real estate industry also needs to control the energy consumption while reducing emission, and the energy-saving target constraint is provided, and the constraint conditions are as follows:
Figure BDA0003381183160000103
wherein SEiRepresenting the energy-saving low-carbon strategy I when the initial investment cost is Ii,tThe number of energy sources is saved; STEtIndicating the amount of energy savings the property industry must achieve in the t year for a "dual carbon goal" (i.e., the preset amount of energy savings the targeted property industry has for a second preset time period (a year, e.g., the t year)).
(5) The method is characterized in that the method comprises the following steps that (1) the constraint of economic guarantee, the real estate industry in a certain area makes an important contribution to economic growth, due to the interdependency relationship among the industries, the yield reduction of one industry can influence the yields of other related industries, so that the whole economic system is influenced, therefore, in order to guarantee the stable growth of the whole social economic system, the real estate industry needs to control the economic reduction caused by emission reduction within a certain range while finishing the emission reduction target of each year, and the constraint conditions are as follows:
Figure BDA0003381183160000111
wherein Q represents the total domestic production yield per carbon emission, TQtRepresents the maximum value of the reduction of the total value output allowed by the property industry in the country in the t year.
(6) Although many energy-saving and low-carbon strategies have been developed, according to the limitation of implementation conditions, the actual feasibility of different energy-saving and low-carbon strategies is different, for example, the investment is small but the carbon dioxide emission reduction rate is high, the construction conditions or the operation requirements of the technology are very high and can not be met by all enterprises in the real estate industry, the preset popularization rate of the industry can be converted into the number of energy-saving and low-carbon strategies of a certain scale in the embodiment, and the constraint conditions are as follows:
Figure BDA0003381183160000112
wherein the content of the first and second substances,
Figure BDA0003381183160000113
and (3) representing the available quantity of an energy-saving low-carbon strategy I in the field production industry when the initial investment is I.
(7) The decision variables are non-negative constraints, the investment amount of the real estate industry to the energy-saving low-carbon strategy is a natural number and is non-negative, and the constraint conditions are as follows:
xi,t≥0；
and S106, selecting a pre-selected energy-saving low-carbon strategy indicated by the minimum energy-saving and emission-reducing cost as an energy-saving and emission-reducing scheme, wherein the energy-saving and emission-reducing scheme is used for carrying out carbon emission reduction operation on the target property industry.
In the embodiment of the invention, after the investment amount of each pre-selected energy-saving low-carbon strategy is obtained, the pre-selected energy-saving low-carbon strategy indicated by the minimum energy-saving and emission-reducing cost can be selected as an energy-saving and emission-reducing scheme, and the energy-saving and emission-reducing scheme is adopted to carry out carbon emission reduction operation on the target real estate industry, so that the purpose of realizing the emission reduction target in the real estate industry at the minimum cost is achieved.
The embodiment of the invention can realize the selection of the optimal energy-saving low-carbon strategy under the aim of double carbon in the real estate industry based on the energy-saving and emission-reducing scheme of the real estate industry formed by linear programming, firstly carry out cost benefit analysis on each energy-saving low-carbon strategy, then screen out a plurality of energy-saving low-carbon strategies with smaller unit emission-reducing cost in the real estate industry, finally establish a strategy optimization model for realizing the double carbon target by aiming at the minimization of the total emission-reducing cost under the double carbon target, solve the model by adopting preset software to obtain the optimal energy-saving low-carbon strategy under the double carbon target, realize the emission-reducing target with the minimum cost, also formulate a detailed and reliable emission-reducing plan for the real estate industry, further drop the emission-reducing work to the real place, and consider the influence of emission-reducing on the economy and employment on the basis of considering the emission-reducing target constraint in the model, the obtained result has more practical significance.
Example two
Fig. 2 is a schematic diagram of an alternative industry energy saving low carbon strategy selection method according to an embodiment of the present invention, as shown in fig. 2, including: the method comprises the following steps of analyzing the cost benefit of an energy-saving low-carbon strategy, screening the energy-saving low-carbon strategy, optimizing the energy-saving low-carbon strategy and optimizing an energy-saving emission-reducing scheme in the real estate industry, wherein the specific process comprises the following steps:
(1) and (3) analyzing the cost benefit of the energy-saving low-carbon strategy: and calculating the unit emission reduction cost of each technology according to various parameters of energy-saving low-carbon strategies of the real estate industry which are mainly popularized in recent years.
The energy-saving low-carbon strategy and the collection and arrangement of related parameters thereof are the basis of the whole model, the key parameters of each energy-saving low-carbon strategy can be obtained by arranging the obtained data, the key parameters comprise the name and the application range of the energy-saving low-carbon strategy, the initial investment cost, the annual emission reduction capability, the annual energy-saving capability, the future industry popularization rate and the like, and the energy-saving low-carbon strategy is further subjected to cost benefit analysis according to the data information.
In this embodiment, the step of calculating the unit emission reduction cost of each technology is as follows:
step 1: the method is characterized by sorting important parameters of energy-saving and low-carbon strategies for key popularization of real estate industries in recent years, wherein the parameters mainly comprise: initial investment amount, annual emission reduction capability, annual energy saving capability, operation and maintenance cost, technical life cycle and the like, for example, a temperature and humidity independent regulation system technology, a heat pump two-stage compression frequency conversion enthalpy increasing energy saving technology and the like.
Step 2: after the parameter data are obtained, the unit energy-saving and emission-reducing cost can be calculated according to the investment amount, the operation and maintenance cost, the annual emission-reducing capability and the life cycle of the technology of each energy-saving and low-carbon strategy in the real estate industry, and the formula is as follows:
Figure BDA0003381183160000121
wherein, UCi,tRepresenting the unit energy-saving and emission-reducing cost of an energy-saving low-carbon strategy i; i isi,tRepresenting the initial investment amount of the energy-saving low-carbon strategy i in the initial investment year t; OM (open field programmable gate array)iRepresenting the annual operation cost of an energy-saving low-carbon strategy i; r represents the discount rate; e represents a year's decrement; t isiAnd (4) representing the life cycle of the energy-saving low-carbon strategy i.
(2) Screening of energy-saving and low-carbon strategies: and sequencing all energy-saving low-carbon strategies in the real estate industry according to the unit emission reduction cost, and selecting the energy-saving low-carbon strategy which is relatively economic.
(3) Optimizing an energy-saving low-carbon strategy: aiming at minimizing the total emission reduction cost under the double-carbon target, establishing a strategy selection method for realizing the double-carbon target, and solving the model by adopting preset software, wherein the specific process comprises the following steps:
1) determining decision variables of the optimization model, namely determining the investment amount x of the local production industry for each energy-saving low-carbon strategyi,t，xi,tRepresenting the initial investment amount of the real estate industry on the energy-saving low-carbon strategy i in t years;
2) determining an objective function of an optimization model, namely minimizing the total cost of energy conservation and emission reduction in the real estate industry, wherein the emission reduction cost mainly comprises the initial investment cost and the operation cost of an energy-saving and low-carbon strategy;
Figure BDA0003381183160000131
wherein c represents the total cost of energy conservation and emission reduction in a certain time period, R represents the discount rate, xi, t represents the initial investment amount of the property industry in the t year on the energy-saving low-carbon strategy i, year represents the current year, OMi,tRepresents the unit emission reduction operation cost of the energy-saving low-carbon strategy i in the t year,
Figure BDA0003381183160000132
and (4) representing the carbon dioxide emission reduction of the energy-saving low-carbon strategy i in the t year.
3) The constraint conditions of the optimization model are determined, and the following seven types of constraint conditions can be considered from the aspects of economic and social development and environmental protection by combining the characteristics of the real estate industry:
A) and the constraint of the total budget of the energy-saving low-carbon strategy also ensures the healthy and stable development of the real estate industry when energy conservation and emission reduction are carried out, so that the input cost of the energy-saving low-carbon strategy is limited at the upper limit, and the constraint conditions are as follows:
Figure BDA0003381183160000133
wherein year represents the current year, and IB represents the total investment budget value of the energy-saving low-carbon strategy of the real estate industry.
B) And the operation cost is restricted, and because of a great expenditure of the operation cost of some energy-saving low-carbon strategies, the high operation cost can generate adverse effects on the liquidity and the stability of the cash flow of an investor, so the upper limit of the total operation cost of the investment portfolio is set, and the restriction conditions are as follows:
Figure BDA0003381183160000134
OB represents the upper limit value of the total operation cost of the energy-saving and low-carbon strategy in the real estate industry.
C) In order to realize the aim of 'double carbon', the annual carbon dioxide emission amount of the real estate industry is strictly limited, the annual carbon dioxide amount to be reduced in the regional real estate industry can be obtained according to the emission path of carbon neutralization, the predicted value of the actual carbon emission in a certain region and the carbon emission percentage of the historical year of the real estate industry, the annual carbon dioxide reduction amount of the real estate industry is not less than the amount which must be reduced in the real estate industry, and the constraint conditions are as follows:
Figure BDA0003381183160000141
wherein E isiRepresenting the energy-saving low-carbon strategy I when the initial investment cost is Ii,tThe decrement of (d); TEtIndicating the amount of carbon dioxide reduction that the property industry must achieve in the t year for a "dual carbon target".
D) The constraint of the energy-saving target is that the real estate industry consumes a large amount of energy in the links of construction engineering and building transportation, so that the use amount of the energy is also controlled while the real estate industry reduces emission, the constraint of the energy-saving target is provided, and the constraint conditions are as follows:
Figure BDA0003381183160000142
wherein SEiRepresenting the energy-saving low-carbon strategy I when the initial investment cost is Ii,tThe number of energy sources is saved; STEtMeans that the property industry must reach in the t year for a "dual carbon goal" to be achievedThe energy is saved.
E) The economic guarantee constraint makes an important contribution to economic growth of the real estate industry in a certain area, and due to the interdependency relationship among the industries, the yield reduction of one industry can influence the yields of other related industries, so that the whole economic system is influenced, therefore, in order to guarantee the stable growth of the whole social economic system, the real estate industry needs to control the economic reduction caused by emission reduction within a certain range while finishing the emission reduction target of each year, and the constraint conditions are as follows:
Figure BDA0003381183160000143
wherein Q represents the total domestic production yield per carbon emission, TQtRepresents the maximum value of the reduction of the total value output allowed by the property industry in the country in the t year.
F) Although a lot of energy-saving and low-carbon strategies are developed, the practical feasibility of different energy-saving and low-carbon strategies is different according to the limitation of the implementation conditions, for example, the investment is small but the carbon dioxide emission reduction rate is high, the construction conditions or the operation requirements of the energy-saving and low-carbon strategies are very high and cannot be met by all enterprises in the real estate industry, the preset popularization rate of the industry can be converted into the number of energy-saving and low-carbon strategies of a certain scale in the embodiment, and the constraint conditions are as follows:
Figure BDA0003381183160000151
wherein the content of the first and second substances,
Figure BDA0003381183160000152
and (3) representing the available quantity of an energy-saving low-carbon strategy I in the field production industry when the initial investment is I.
G) The decision variable is nonnegative constraint, the investment amount of the real estate industry to the energy-saving low-carbon strategy is a natural number and nonnegative, and the constraint conditions are as follows:
xi,t≥0；
(4) the model can be solved by adopting preset software so as to obtain the optimal energy-saving and emission-reducing scheme of the real estate industry under the condition of realizing the double-carbon target.
According to the embodiment of the invention, each energy-saving low-carbon strategy can be firstly subjected to cost-benefit analysis, then a plurality of energy-saving low-carbon strategies with lower unit emission reduction cost in the real estate industry are screened out, finally a strategy optimization model for realizing the double-carbon target is established by taking the total emission reduction cost under the double-carbon target as a target, and the model can be solved by adopting preset software to obtain the optimal energy-saving low-carbon strategy under the double-carbon target realization in the real estate industry.
EXAMPLE III
The selection device of the energy saving and emission reduction scheme provided in this embodiment includes a plurality of implementation units, and each implementation unit corresponds to each implementation step in the first embodiment.
Fig. 3 is a schematic diagram of a selecting device of an energy saving and emission reduction scheme according to an embodiment of the present invention, and as shown in fig. 3, the selecting device may include: a first acquisition unit 30, a first calculation unit 32, a selection unit 34, wherein,
a first obtaining unit 30, configured to obtain constraint data, where the constraint data at least includes: energy-saving emission-reduction budget data of each pre-selected energy-saving low-carbon strategy, operation cost data of each pre-selected energy-saving low-carbon strategy, emission-reduction gas quantity data, energy consumption data and popularization rate data of each pre-selected energy-saving low-carbon strategy;
the first calculating unit 32 is configured to calculate investment data of each pre-selected energy-saving low-carbon strategy by using a pre-constructed optimization model based on the constraint data to obtain a plurality of optimization result data, wherein each optimization result data includes energy-saving and emission-reducing costs;
the selecting unit 34 is configured to select a preselected energy-saving low-carbon strategy indicated by the minimum energy-saving emission-reduction cost as an energy-saving emission-reduction scheme, where the energy-saving emission-reduction scheme is used for performing carbon emission reduction operation on the target property industry.
The selecting unit can obtain the constraint data through the first obtaining unit 30, calculate the investment data of each pre-selected energy-saving low-carbon strategy through the first calculating unit 32 based on the constraint data by adopting a pre-constructed optimization model to obtain a plurality of optimization result data, and select the pre-selected energy-saving low-carbon strategy indicated by the minimum energy-saving and emission-reducing cost through the selecting unit 34 as an energy-saving and emission-reducing scheme, wherein the energy-saving and emission-reducing scheme is used for performing carbon emission-reducing operation on the target property industry. In the embodiment of the invention, the optimal energy-saving low-carbon strategy of the real estate industry under the aim of realizing double-carbon can be obtained through the optimization model constructed by the aim of minimizing the energy-saving and emission-reducing cost, the emission-reducing aim can be realized by the minimum cost by adopting the optimal energy-saving low-carbon strategy, a detailed and reliable emission-reducing plan can be made for the real estate industry, the emission-reducing work is further carried to the real place, and the technical problems that the energy-saving low-carbon strategy cannot be operated and the carbon emission-reducing operation of the real estate industry is influenced because a plurality of energy-saving low-carbon strategies cannot be refined in the related technology are solved.
Optionally, before acquiring the constraint data, the selecting device further includes: a second obtaining unit, configured to obtain parameter data of each initial energy-saving low-carbon policy in an initial energy-saving low-carbon policy set in a historical process, where the initial energy-saving low-carbon policy set includes: the method comprises the following steps that a plurality of initial energy-saving low-carbon strategies are adopted, and parameter data at least comprise: initial investment cost, operation and maintenance cost, annual emission reduction and life cycle; and the second calculating unit is used for calculating the unit emission reduction cost of each initial energy-saving low-carbon strategy based on the parameter data.
Optionally, the selecting device further includes: : the first sequencing module is used for sequencing the unit emission reduction cost of each initial energy-saving low-carbon strategy after calculating the unit emission reduction cost of each initial energy-saving low-carbon strategy based on the parameter data to obtain a sequencing result; and the first selection module is used for selecting an initial energy-saving low-carbon strategy with unit emission reduction cost smaller than a preset value based on the sequencing result, and taking the selected initial energy-saving low-carbon strategy as a pre-selection energy-saving low-carbon strategy.
Optionally, the first computing unit includes: the first determining module is used for determining decision variables of the optimization model, wherein the decision variables are used for determining investment amount of the target property industry to various energy-saving and low-carbon strategies; a second determining module, configured to determine an objective function of the optimization model, where the objective function is used to select a minimum energy saving and emission reduction cost within a specified time period, and the energy saving and emission reduction cost at least includes: initial investment costs and operational costs; a third determining module, configured to determine constraints of the optimization model, where the constraints at least include: energy conservation and emission reduction budget of each pre-selected energy conservation and low carbon strategy, operation cost of each pre-selected energy conservation and low carbon strategy, emission reduction gas quantity, energy use amount and popularization rate limit of each pre-selected energy conservation and low carbon strategy; and the first calculation module is used for calculating the investment data of each pre-selected energy-saving low-carbon strategy based on the constraint data, the decision variables, the objective function and the constraint conditions.
Optionally, the second determining module includes: the first obtaining submodule is used for obtaining the initial investment amount of each pre-selected energy-saving low-carbon strategy, the unit emission reduction operation cost of each pre-selected energy-saving low-carbon strategy and the emission reduction gas amount of each pre-selected energy-saving low-carbon strategy in a first preset time period; and the first determining submodule is used for determining an objective function of the optimization model based on the initial investment amount, the unit emission reduction operation cost and the emission reduction gas quantity.
Optionally, the third determining module includes: the second obtaining submodule is used for obtaining a total investment budget value of the preselected energy-saving low-carbon strategy, a total operation cost value of the preselected energy-saving low-carbon strategy of the target property industry, a preset emission reduction gas total amount, a preset energy-saving quantity of the target property industry in a second preset time period and a preset popularization rate; and the first output submodule is used for obtaining constraint conditions based on the total investment precalculated value, the total operation cost value, the preset emission reduction gas total amount, the preset energy-saving amount and the preset popularization rate of the preselected energy-saving low-carbon strategy.
The selecting device may further include a processor and a memory, and the first acquiring unit 30, the first calculating unit 32, the selecting unit 34, and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to implement corresponding functions.
The processor comprises a kernel, and the kernel calls a corresponding program unit from the memory. One or more than one kernel can be set, and a preselected energy-saving low-carbon strategy indicated by the minimum energy-saving emission-reducing cost is selected as an energy-saving emission-reducing scheme by adjusting kernel parameters.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device: acquiring constraint data, calculating investment data of each pre-selected energy-saving low-carbon strategy by adopting a pre-constructed optimization model based on the constraint data to obtain a plurality of optimization result data, and selecting the pre-selected energy-saving low-carbon strategy indicated by the minimum energy-saving and emission-reducing cost as an energy-saving and emission-reducing scheme, wherein the energy-saving and emission-reducing scheme is used for performing carbon emission reduction operation on the target property industry.
According to another aspect of the embodiments of the present invention, there is also provided a processor; and a memory for storing executable instructions for the processor; wherein the processor is configured to execute any one of the above-mentioned methods for selecting an energy saving and emission reduction scheme via executing the executable instructions.
According to another aspect of the embodiment of the present invention, a computer-readable storage medium is further provided, and includes a stored computer program, where when the computer program runs, a device in which the computer-readable storage medium is located is controlled to execute any one of the above methods for selecting an energy saving and emission reduction scheme.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute 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 Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims (10)

1. A method for selecting an energy-saving emission-reducing scheme is characterized by comprising the following steps:
obtaining constraint data, wherein the constraint data comprises at least: energy-saving emission-reduction budget data of each pre-selected energy-saving low-carbon strategy, operation cost data of each pre-selected energy-saving low-carbon strategy, emission-reduction gas quantity data, energy consumption data and popularization rate data of each pre-selected energy-saving low-carbon strategy;
calculating investment data of each preselected energy-saving low-carbon strategy by adopting a pre-constructed optimization model based on the constraint data to obtain a plurality of optimization result data, wherein each optimization result data comprises energy-saving and emission-reducing cost;
and selecting a pre-selected energy-saving low-carbon strategy indicated by the minimum energy-saving and emission-reducing cost as an energy-saving and emission-reducing scheme, wherein the energy-saving and emission-reducing scheme is used for carrying out carbon emission reduction operation on the target property industry.
2. The method of selecting as in claim 1, wherein prior to obtaining constraint data, the method of selecting further comprises:
acquiring parameter data of each initial energy-saving low-carbon strategy in an initial energy-saving low-carbon strategy set in a historical process, wherein the initial energy-saving low-carbon strategy set comprises the following steps: a plurality of initial energy-saving low-carbon strategies, wherein the parameter data at least comprises: initial investment cost, operation and maintenance cost, annual emission reduction and life cycle;
and calculating the unit emission reduction cost of each initial energy-saving low-carbon strategy based on the parameter data.
3. The selection method according to claim 2, wherein after calculating the unit emission reduction cost of each of the initial energy-saving low-carbon strategies based on the parameter data, the selection method further comprises:
sequencing the unit emission reduction cost of each initial energy-saving low-carbon strategy to obtain a sequencing result;
and based on the sequencing result, selecting an initial energy-saving low-carbon strategy with unit emission reduction cost smaller than a preset value, and taking the selected initial energy-saving low-carbon strategy as the pre-selection energy-saving low-carbon strategy.
4. The selection method according to claim 1, wherein the step of calculating investment data for each of the pre-selected energy-saving low-carbon strategies based on the constraint data by using a pre-constructed optimization model comprises:
determining a decision variable of the optimization model, wherein the decision variable is used for determining the investment amount of the target property industry for each energy-saving and low-carbon strategy;
determining an objective function of the optimization model, wherein the objective function is used for selecting the minimum energy saving and emission reduction cost in a specified time period, and the energy saving and emission reduction cost at least comprises the following steps: initial investment costs and operational costs;
determining constraints of the optimization model, wherein the constraints at least comprise: energy conservation and emission reduction budget of each pre-selected energy conservation and low carbon strategy, operation cost of each pre-selected energy conservation and low carbon strategy, emission reduction gas quantity, energy use amount and popularization rate limit of each pre-selected energy conservation and low carbon strategy;
and calculating investment data of each pre-selected energy-saving low-carbon strategy based on the constraint data, the decision variables, the objective function and the constraint conditions.
5. Selection method according to claim 4, wherein the step of determining the objective function of the optimization model comprises:
acquiring the initial investment amount of each pre-selected energy-saving low-carbon strategy, the unit emission reduction operation cost of each pre-selected energy-saving low-carbon strategy and the emission reduction gas amount of each pre-selected energy-saving low-carbon strategy in a first preset time period;
determining an objective function of the optimization model based on the initial investment amount, the unit emission reduction operation cost and the emission reduction gas amount.
6. Selection method according to claim 4, wherein the step of determining constraints of the optimization model comprises:
acquiring a total investment budget value of the preselected energy-saving low-carbon strategy, a total operation cost value of the preselected energy-saving low-carbon strategy of the target property industry, a preset emission reduction gas total amount, a preset energy-saving quantity of the target property industry in a second preset time period and a preset popularization rate;
and obtaining constraint conditions based on the total investment budget value, the total operation cost value, the preset emission reduction gas total amount, the preset energy-saving amount and the preset popularization rate of the preselected energy-saving low-carbon strategy.
7. A selection device of an energy-saving emission-reducing scheme is characterized by comprising:
a first obtaining unit, configured to obtain constraint data, where the constraint data at least includes: energy-saving emission-reduction budget data of each pre-selected energy-saving low-carbon strategy, operation cost data of each pre-selected energy-saving low-carbon strategy, emission-reduction gas quantity data, energy consumption data and popularization rate data of each pre-selected energy-saving low-carbon strategy;
the first calculation unit is used for calculating investment data of each preselected energy-saving low-carbon strategy by adopting a pre-constructed optimization model based on the constraint data to obtain a plurality of optimization result data, wherein each optimization result data comprises energy-saving and emission-reducing cost;
the energy-saving and emission-reducing system comprises a selecting unit and a controlling unit, wherein the selecting unit is used for selecting a pre-selected energy-saving low-carbon strategy indicated by the minimum energy-saving and emission-reducing cost as an energy-saving and emission-reducing scheme, and the energy-saving and emission-reducing scheme is used for carrying out carbon emission-reducing operation on the target property industry.
8. The extraction apparatus according to claim 7, wherein prior to obtaining constraint data, the extraction apparatus further comprises:
a second obtaining unit, configured to obtain parameter data of each initial energy-saving low-carbon policy in an initial energy-saving low-carbon policy set in a historical process, where the initial energy-saving low-carbon policy set includes: a plurality of initial energy-saving low-carbon strategies, wherein the parameter data at least comprises: initial investment cost, operation and maintenance cost, annual emission reduction and life cycle;
and the second calculating unit is used for calculating the unit emission reduction cost of each initial energy-saving low-carbon strategy based on the parameter data.
9. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to execute the method of selecting an energy saving and emission reduction scheme of any one of claims 1 to 6 via execution of the executable instructions.
10. A computer-readable storage medium, comprising a stored computer program, wherein when the computer program runs, the computer-readable storage medium controls a device to execute the method for selecting the energy saving and emission reduction scheme according to any one of claims 1 to 6.
CN202111434616.6A 2021-11-29 2021-11-29 Energy-saving emission-reducing scheme selection method and device, electronic equipment and storage medium Pending CN114118585A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116029879A (en) * 2022-12-13 2023-04-28 广西电网有限责任公司 Multi-dimensional-based generation method and system for full-industry optimal emission reduction strategy
CN116596413A (en) * 2023-06-02 2023-08-15 北京理工大学 Carbon emission source selection method based on carbon capture and sequestration technology of optimal business model

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116029879A (en) * 2022-12-13 2023-04-28 广西电网有限责任公司 Multi-dimensional-based generation method and system for full-industry optimal emission reduction strategy
CN116029879B (en) * 2022-12-13 2024-06-11 广西电网有限责任公司 Multi-dimensional-based generation method and device for full-industry optimal emission reduction strategy
CN116596413A (en) * 2023-06-02 2023-08-15 北京理工大学 Carbon emission source selection method based on carbon capture and sequestration technology of optimal business model

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