Method and device for selecting energy conservation and emission reduction solutions, electronic device and storage medium

Abstract

The present invention discloses a method and device for selecting an energy conservation and emission reduction solution, an electronic device, and a storage medium. Among them, the selection method includes: obtaining constraint data, and based on the constraint data, using a pre-constructed optimization model to calculate the investment data of each preselected energy-saving and low-carbon strategy, obtaining a plurality of optimized result data, and selecting the preselected energy-saving and low-carbon strategy indicated by the minimum energy conservation and emission reduction cost as the energy conservation and emission reduction solution, where the energy conservation and emission reduction solution is used to perform carbon emission reduction operations on the target real estate industry. The present invention solves the technical problem in the related art that multiple energy-saving and low-carbon strategies cannot be refined, resulting in the inability to operate the energy-saving and low-carbon strategies and affecting the carbon emission reduction operations on the real estate industry.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular, to a method and device for selecting an energy conservation and emission reduction solution, an electronic device, and a storage medium. Background Art

[0002] As energy and environmental issues are increasingly taken seriously, among the numerous measures to achieve the dual-carbon goal, the application of energy-saving and low-carbon strategies has gradually taken the leading position. However, there are many existing energy-saving and low-carbon strategies, and it is necessary to analyze the most suitable one.

[0003] Currently, the problem of huge energy conservation and emission reduction costs is still prominent, the promotion rate of energy-saving and low-carbon strategies in the industry is not high, and the understanding of energy conservation and emission reduction costs is insufficient. Therefore, in order to achieve the emission reduction goal with the most economical solution, it is necessary to conduct optimization research on energy conservation and emission reduction strategies.

[0004] The real estate industry is a typical high-energy-consuming and high-emission industry. Therefore, implementing energy-saving and low-carbon strategies in the real estate industry is the only way to achieve the dual-carbon goal. In related technologies, in order to achieve the dual-carbon goal, many studies focus on the optimization of the industry structure and the energy conservation and emission reduction strategies at the macro level, including the following two categories: (1) The optimization method at the macro level includes using input-output and measurement optimization combination models to predict the evolution of the energy conservation and emission reduction cost curve, and implementing the energy conservation and emission reduction goal in the specific quantity of energy conservation and emission reduction in each stage. However, the responsibility of energy conservation and emission reduction ultimately lies with each industry and enterprise, and the optimization research at the macro level cannot provide specific emission reduction solutions for the industry; (2) Industry structure optimization mainly refers to the adjustment of industries. Although this method can reduce the total carbon emissions, there are great difficulties in specific implementation. Each industry focuses on its own economic interests, and only adjusting the industrial structure cannot accelerate the realization of energy conservation and emission reduction.

[0005] In response to the above problems, no effective solution has been proposed yet. Summary of the Invention

[0006] Embodiments of the present invention provide a method and device for selecting an energy conservation and emission reduction solution, an electronic device, and a storage medium, so as to at least solve the technical problem in related technologies that multiple energy-saving and low-carbon strategies cannot be refined, resulting in the inability to operate the energy-saving and low-carbon strategies and affecting the carbon emission reduction operation of the real estate industry.

[0007] According to one aspect of the embodiments of the present invention, a method for selecting an energy conservation and emission reduction solution is provided, including: obtaining constraint data, where the constraint data at least includes: energy conservation and emission reduction budget data for each preselected energy conservation and low-carbon strategy, operating cost data for each preselected energy conservation and low-carbon strategy, emission reduction gas volume data, energy consumption data, and promotion rate data for each preselected energy conservation and low-carbon strategy; based on the constraint data, using a pre-constructed optimization model, calculating the investment data for each of the preselected energy conservation and low-carbon strategies to obtain a plurality of optimized result data, where each of the optimized result data includes energy conservation and emission reduction costs; selecting the preselected energy conservation and low-carbon strategy indicated by the minimum energy conservation and emission reduction cost as the energy conservation and emission reduction solution, where the energy conservation and emission reduction solution is used to perform carbon emission reduction operations on the target real estate industry.

[0008] Optionally, before obtaining the constraint data, the selection method further includes: obtaining parameter data for each initial energy conservation and low-carbon strategy in the initial energy conservation and low-carbon strategy set during the historical process, where the initial energy conservation and low-carbon strategy set includes: a plurality of initial energy conservation and low-carbon strategies, and the parameter data at least includes: initial investment cost, operation and maintenance cost, annual emission reduction, and life cycle; based on the parameter data, calculating the unit emission reduction cost for each of the initial energy conservation and low-carbon strategies.

[0009] Optionally, after calculating the unit emission reduction cost for each of the initial energy conservation and low-carbon strategies based on the parameter data, the selection method further includes: sorting the unit emission reduction costs for each of the initial energy conservation and low-carbon strategies to obtain a sorting result; based on the sorting result, selecting the initial energy conservation and low-carbon strategies with a unit emission reduction cost less than a preset value, and using the selected initial energy conservation and low-carbon strategies as the preselected energy conservation and low-carbon strategies.

[0010] Optionally, the step of calculating the investment data for each of the preselected energy conservation and low-carbon strategies based on the constraint data using a pre-constructed optimization model includes: determining the decision variables of the optimization model, where the decision variables are used to determine the investment amounts of the target real estate industry for each energy conservation and low-carbon strategy; determining the objective function of the optimization model, where the objective function is used to select the minimum energy conservation and emission reduction cost within a specified time period, and the energy conservation and emission reduction cost at least includes: initial investment cost and operating cost; determining the constraint conditions of the optimization model, where the constraint conditions at least include: energy conservation and emission reduction budgets for each preselected energy conservation and low-carbon strategy, operating costs for each preselected energy conservation and low-carbon strategy, emission reduction gas volumes, energy consumption, and promotion rate limits for each preselected energy conservation and low-carbon strategy; based on the constraint data, the decision variables, the objective function, and the constraint conditions, calculating the investment data for each of the preselected energy conservation and low-carbon strategies.

[0011] Optionally, the step of determining the objective function of the optimization model includes: obtaining the initial investment amount of each of the preselected energy-saving and low-carbon strategies within a first preset time period, the unit emission reduction operation cost of each of the preselected energy-saving and low-carbon strategies, and the emission reduction gas volume of each of the preselected energy-saving and low-carbon strategies; and determining the objective function of the optimization model based on the initial investment amount, the unit emission reduction operation cost, and the emission reduction gas volume.

[0012] Optionally, the step of determining the constraint conditions of the optimization model includes: obtaining the total investment budget value of the preselected energy-saving and low-carbon strategies, the total operation cost value of the preselected energy-saving and low-carbon strategies in the target real estate industry, the preset total emission reduction gas volume, the preset energy-saving quantity of the target real estate industry within a second preset time period, and the preset promotion rate; and obtaining the constraint conditions based on the total investment budget value of the preselected energy-saving and low-carbon strategies, the total operation cost value, the preset total emission reduction gas volume, the preset energy-saving quantity, and the preset promotion rate.

[0013] According to another aspect of the embodiments of the present invention, there is also provided a device for selecting an energy-saving and emission-reduction solution, including: a first obtaining unit, configured to obtain constraint data, where the constraint data at least includes: energy-saving and emission-reduction budget data of each preselected energy-saving and low-carbon strategy, operation cost data of each preselected energy-saving and low-carbon strategy, emission reduction gas volume data, energy consumption data, and promotion rate data of each preselected energy-saving and low-carbon strategy; a first calculating unit, configured to calculate investment data of each of the preselected energy-saving and low-carbon strategies by using a pre-constructed optimization model based on the constraint data, and obtain a plurality of optimization result data, where each of the optimization result data includes an energy-saving and emission-reduction cost; and a selecting unit, configured to select the preselected energy-saving and low-carbon strategy indicated by the minimum energy-saving and emission-reduction cost as the energy-saving and emission-reduction solution, where the energy-saving and emission-reduction solution is used to perform a carbon emission reduction operation on the target real estate industry.

[0014] Optionally, before obtaining the constraint data, the selecting device further includes: a second obtaining unit, configured to obtain parameter data of each initial energy-saving and low-carbon strategy in an initial energy-saving and low-carbon strategy set in a historical process, where the initial energy-saving and low-carbon strategy set includes a plurality of initial energy-saving and low-carbon strategies, and the parameter data at least includes: initial investment cost, operation and maintenance cost, annual emission reduction amount, and life cycle; and a second calculating unit, configured to calculate the unit emission reduction cost of each of the initial energy-saving and low-carbon strategies based on the parameter data.

[0015] Optionally, the selection device further includes: a first sorting module, configured to sort the unit emission reduction costs of each of the initial energy-saving and low-carbon strategies after calculating the unit emission reduction costs of each of the initial energy-saving and low-carbon strategies based on the parameter data, so as to obtain a sorting result; a first selection module, configured to select, based on the sorting result, the initial energy-saving and low-carbon strategies with unit emission reduction costs less than a preset value, and use the selected initial energy-saving and low-carbon strategies as the preselected energy-saving and low-carbon strategies.

[0016] Optionally, the first calculation unit includes: a first determination module, configured to determine the decision variables of the optimization model, where the decision variables are used to determine the investment amounts of the target real estate industry in each energy-saving and low-carbon strategy; a second determination module, configured to determine the objective function of the optimization model, where the objective function is used to select the minimum energy conservation and emission reduction cost within a specified time period, and the energy conservation and emission reduction cost at least includes: initial investment cost and operating cost; a third determination module, configured to determine the constraint conditions of the optimization model, where the constraint conditions at least include: the energy conservation and emission reduction budgets of each preselected energy-saving and low-carbon strategy, the operating costs of each preselected energy-saving and low-carbon strategy, the emission gas volume, the energy consumption, and the promotion rate limits of each preselected energy-saving and low-carbon strategy; a first calculation module, configured to calculate the investment data of each of the preselected energy-saving and low-carbon strategies based on the constraint data, the decision variables, the objective function, and the constraint conditions.

[0017] Optionally, the second determination module includes: a first acquisition sub-module, configured to acquire the initial investment amount of each of the preselected energy-saving and low-carbon strategies, the unit emission reduction operating cost of each of the preselected energy-saving and low-carbon strategies, and the emission gas volume of each of the preselected energy-saving and low-carbon strategies within a first preset time period; a first determination sub-module, configured to determine the objective function of the optimization model based on the initial investment amount, the unit emission reduction operating cost, and the emission gas volume.

[0018] Optionally, the third determination module includes: a second acquisition sub-module, configured to acquire the total investment budget value of the preselected energy-saving and low-carbon strategies, the total operating cost value of the preselected energy-saving and low-carbon strategies of the target real estate industry, the preset total emission gas volume, the preset energy conservation quantity of the target real estate industry within a second preset time period, and the preset promotion rate; a first output sub-module, configured to obtain the constraint conditions based on the total investment budget value of the preselected energy-saving and low-carbon strategies, the total operating cost value, the preset total emission gas volume, the preset energy conservation quantity, and the preset promotion rate.

[0019] According to another aspect of the embodiments of the present invention, there is also provided a processor; and a memory, configured to store executable instructions of the processor; wherein, the processor is configured to execute the selection method of the energy conservation and emission reduction solution described in any one of the above via executing the executable instructions.

[0020] According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium, which includes a stored computer program. When the computer program runs, it controls the device where the computer-readable storage medium is located to execute the method for selecting the energy-saving and emission-reduction solution described in any one of the above.

[0021] In the present disclosure, constraint data is obtained. Based on the constraint data, an optimization model constructed in advance is used to calculate the investment data of each preselected energy-saving and low-carbon strategy, and a plurality of optimized result data are obtained. The preselected energy-saving and low-carbon strategy indicated by the minimum energy-saving and emission-reduction cost is selected as the energy-saving and emission-reduction solution, where the energy-saving and emission-reduction solution is used to perform carbon emission reduction operations on the target real estate industry. In this application, through the optimization model constructed with the goal of minimizing the energy-saving and emission-reduction cost, the optimal energy-saving and low-carbon strategy of the real estate industry under the "dual carbon" goal can be obtained. Adopting this optimal energy-saving and low-carbon strategy can not only achieve the emission reduction goal at the lowest cost, but also formulate a detailed and reliable emission reduction plan for the real estate industry, implement the emission reduction work, and thus solve the technical problem in the related art that multiple energy-saving and low-carbon strategies cannot be refined, resulting in the inability to operate the energy-saving and low-carbon strategies and affecting the carbon emission reduction operation of the real estate industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation to the present invention. In the drawings:

[0023] Figure 1 is a flowchart of an optional method for selecting an energy-saving and emission-reduction solution according to an embodiment of the present invention;

[0024] Figure 2 is a schematic diagram of an optional method for selecting an energy-saving and low-carbon strategy for an industry according to an embodiment of the present invention;

[0025] Figure 3 is a schematic diagram of an apparatus for selecting an energy-saving and emission-reduction solution according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0026] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0027] It should be noted that the terms "first", "second", etc. in the specification, claims and the above-mentioned drawings of the present invention are used to distinguish similar objects, and do not necessarily need to describe a specific order or sequence. It should be understood that such used data can be interchanged under appropriate circumstances, so that the embodiments of the present invention described here can be implemented in an order different from those illustrated or described here. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0028] For the convenience of those skilled in the art to understand the present invention, the following explains some terms or nouns involved in each embodiment of the present invention:

[0029] Energy conservation and emission reduction: It refers to enterprises, groups or individuals calculating the total amount of greenhouse gas emissions directly or indirectly generated within a certain period of time, and offsetting their own carbon dioxide emissions through forms such as afforestation, energy conservation and emission reduction.

[0030] The following embodiments of the present invention can be applied to various scenarios that require the selection of energy-saving and low-carbon strategies. Through the methods of the embodiments of the present invention, the optimal energy-saving and low-carbon strategies of the real estate industry under the realization of the dual-carbon goal can be obtained.

[0031] The embodiments of the present invention can first conduct a cost-benefit analysis on each energy-saving and low-carbon strategy, and then screen out multiple energy-saving and low-carbon strategies with relatively small unit emission reduction costs in the real estate industry. Taking the minimization of the total energy conservation and emission reduction cost under the dual-carbon goal as the objective, a strategy optimization model for realizing the dual-carbon goal is established. And, a preset software (such as Matlab software) can be used to solve the model to obtain the optimal energy-saving and low-carbon strategies of the real estate industry under the realization of the dual-carbon goal. It can not only achieve the emission reduction goal at the lowest cost, but also formulate a detailed and reliable emission reduction plan for the real estate industry, further implement the emission reduction work. And in the model, on the basis of considering the emission reduction target constraints, the impacts of emission reduction on the economy and employment are also considered, making the obtained emission reduction strategies more realistic.

[0032] Embodiment 1

[0033] According to an embodiment of the present invention, an embodiment of a method for selecting an energy conservation and emission reduction solution is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. And, although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order from here.

[0034] Figure 1 is a flowchart of a method for selecting an optional energy conservation and emission reduction solution according to an embodiment of the present invention. As Figure 1 shown, the method includes the following steps:

[0035] Step S102, obtain constraint data, where the constraint data at least includes: energy conservation and emission reduction budget data for each preselected energy-saving and low-carbon strategy, operating cost data for each preselected energy-saving and low-carbon strategy, emission reduction gas volume data, energy usage data, and promotion rate data for each preselected energy-saving and low-carbon strategy.

[0036] Step S104, based on the constraint data, use a pre-constructed optimization model to calculate the investment data for each preselected energy-saving and low-carbon strategy, and obtain multiple optimized result data, where each optimized result data includes energy conservation and emission reduction costs.

[0037] Step S106, select the preselected energy-saving and low-carbon strategy indicated by the minimum energy conservation and emission reduction cost as the energy conservation and emission reduction solution, where the energy conservation and emission reduction solution is used to perform carbon emission reduction operations on the target real estate industry.

[0038] Through the above steps, constraint data can be obtained. Based on the constraint data, a pre-constructed optimization model is used to calculate the investment data for each preselected energy-saving and low-carbon strategy, and multiple optimized result data are obtained. The preselected energy-saving and low-carbon strategy indicated by the minimum energy conservation and emission reduction cost is selected as the energy conservation and emission reduction solution, where the energy conservation and emission reduction solution is used to perform carbon emission reduction operations on the target real estate industry. In the embodiment of the present invention, through an optimization model constructed with the goal of minimizing energy conservation and emission reduction costs, the optimal energy-saving and low-carbon strategy for the real estate industry under the "dual carbon" goal can be obtained. Adopting this energy-saving and low-carbon strategy can not only achieve the emission reduction goal at the lowest cost, but also formulate a detailed and reliable emission reduction plan for the real estate industry, further implement the emission reduction work, and thus solve the technical problem in the related art that multiple energy-saving and low-carbon strategies cannot be refined, resulting in the inability to operate the energy-saving and low-carbon strategies and affecting the carbon emission reduction operations on the real estate industry.

[0039] The embodiments of the present invention will be described in detail below in combination with the above steps.

[0040] In the embodiment of the present invention, before obtaining the constraint data, the selection method further includes: obtaining parameter data of each initial energy-saving and low-carbon strategy in the initial energy-saving and low-carbon strategy set in the historical process, where the initial energy-saving and low-carbon strategy set includes: multiple initial energy-saving and low-carbon strategies, and the parameter data at least includes: initial investment cost, operation and maintenance cost, annual emission reduction, and life cycle; based on the parameter data, calculate the unit emission reduction cost of each initial energy-saving and low-carbon strategy.

[0041] In the embodiments of the present invention, according to various parameters of the energy-saving and low-carbon strategies in the real estate industry that have been vigorously promoted in recent years (i.e., parameter data of each initial energy-saving and low-carbon strategy in the initial energy-saving and low-carbon strategy set can be obtained in the historical process), the unit emission reduction cost of each energy-saving and low-carbon strategy is calculated. The collection and collation of energy-saving and low-carbon strategies and their related parameters (i.e., initial energy-saving and low-carbon strategies and their parameter data) are the basis of the entire optimization model. Among them, the parameter data includes but is not limited to: the name and applicable scope of the energy-saving and low-carbon strategy, the initial investment cost, the annual emission reduction capacity, the annual energy-saving capacity, the future industry promotion rate, the operation and maintenance cost, the life cycle, etc. Based on these data information (i.e., parameter data), a further cost-benefit analysis is carried out on the energy-saving and low-carbon strategies. The specific process is as follows:

[0042] Sort out the energy-saving and low-carbon strategies in the real estate industry that have been vigorously promoted in recent years. The main contents include but are not limited to: the initial investment amount, the annual emission reduction capacity, the annual energy-saving capacity, the operation and maintenance cost, the technical life cycle, etc. For example, the temperature and humidity independent control system strategy, the heat pump two-stage compression variable frequency and enhanced enthalpy energy-saving strategy, etc.

[0043] After obtaining these parameter data, the unit emission reduction cost of each energy-saving and low-carbon strategy in the real estate industry can be calculated based on the investment amount, operation and maintenance cost, annual emission reduction capacity and technical life cycle of each energy-saving and low-carbon strategy (i.e., based on the parameter data, calculate the unit emission reduction cost of each initial energy-saving and low-carbon strategy). The calculation formula is as follows:

[0044]

[0045] Among them, UC i,t represents the unit energy-saving and emission reduction cost of energy-saving and low-carbon strategy i; I i,t represents the initial investment amount of energy-saving and low-carbon strategy i in the initial investment year t; OM i represents the annual operation cost of energy-saving and low-carbon strategy i; R represents the discount rate; E i represents the emission reduction amount of energy-saving and low-carbon strategy i in one year; T i represents the life cycle of energy-saving and low-carbon strategy i.

[0046] Optionally, after calculating the unit emission reduction cost of each initial energy-saving and low-carbon strategy based on the parameter data, the selection method further includes: sorting the unit emission reduction costs of each initial energy-saving and low-carbon strategy to obtain a sorting result; based on the sorting result, selecting the initial energy-saving and low-carbon strategies with unit emission reduction costs less than the preset value, and taking the selected initial energy-saving and low-carbon strategies as the preselected energy-saving and low-carbon strategies.

[0047] In the embodiments of the present invention, all energy-saving and low-carbon strategies (i.e., initial energy-saving and low-carbon strategies) in the real estate industry can be sorted according to the unit emission reduction cost, and multiple (for example, 20 to 30) energy-saving and low-carbon strategies with relatively small unit emission reduction costs can be selected (i.e., select the initial energy-saving and low-carbon strategies whose unit emission reduction cost is less than a preset value (which can be set according to the actual situation)), and the selected initial energy-saving and low-carbon strategies are used as preselected energy-saving and low-carbon strategies.

[0048] Step S102: Obtain constraint data, where the constraint data at least includes: energy conservation and emission reduction budget data for each preselected energy-saving and low-carbon strategy, operating cost data for each preselected energy-saving and low-carbon strategy, emission reduction gas volume data, energy consumption data, and promotion rate data for each preselected energy-saving and low-carbon strategy.

[0049] In the embodiments of the present invention, some constraint data can be obtained and input into an optimization model. By calculation, the investment amount data for each preselected energy-saving and low-carbon strategy can be obtained, so that the optimal energy-saving and low-carbon strategy can be selected for implementation.

[0050] Step S104: Based on the constraint data, use a pre-constructed optimization model to calculate the investment data for each preselected energy-saving and low-carbon strategy, and obtain multiple optimized result data, where each optimized result data includes energy conservation and emission reduction costs.

[0051] Optionally, the step of calculating the investment data for each preselected energy-saving and low-carbon strategy based on the constraint data using a pre-constructed optimization model includes: determining the decision variables of the optimization model, where the decision variables are used to determine the investment amount of the target real estate industry for each energy-saving and low-carbon strategy; determining the objective function of the optimization model, where the objective function is used to select the minimum energy conservation and emission reduction cost within a specified time period, and the energy conservation and emission reduction cost at least includes: initial investment cost and operating cost; determining the constraint conditions of the optimization model, where the constraint conditions at least include: energy conservation and emission reduction budgets for each preselected energy-saving and low-carbon strategy, operating costs for each preselected energy-saving and low-carbon strategy, emission reduction gas volumes, energy consumptions, and promotion rate limits for each preselected energy-saving and low-carbon strategy; calculating the investment data for each preselected energy-saving and low-carbon strategy based on the constraint data, decision variables, objective function, and constraint conditions.

[0052] In an embodiment of the present invention, the decision variables of the optimization model can be determined first. The decision variables can include the investment amount of the real estate industry in each energy-saving and low-carbon strategy every year (i.e., the decision variables are used to determine the investment amount of the target real estate industry in each energy-saving and low-carbon strategy); the objective function of the optimization model can be determined. The objective function can be the minimization of the sum of the total initial investment and the total operating cost of the energy-saving and low-carbon strategies (i.e., the objective function is used to select the minimum energy-saving and emission-reduction cost within a specified time period, including: initial investment cost, operating cost, etc.); the constraint conditions can be determined. The constraint conditions involving economic, environmental, and social aspects can be considered. For example: the constraint of the total budget of the energy-saving and low-carbon strategies (i.e., the energy-saving and emission-reduction budget of each preselected energy-saving and low-carbon strategy), the constraint of the operating cost (i.e., the operating cost of each preselected energy-saving and low-carbon strategy), the carbon dioxide emission reduction target constraint (i.e., the emission gas volume), the energy-saving target constraint (i.e., the energy usage), the expected industry promotion rate limit of the emission reduction technology (i.e., the promotion rate limit of each preselected energy-saving and low-carbon strategy), the constraint of economic security, the non-negativity constraint of the decision variables, etc. After that, the investment data of each preselected energy-saving and low-carbon strategy can be calculated through the constraint data, decision variables, objective function, and constraint conditions.

[0053] In an embodiment of the present invention, the decision variables of the optimization model can be determined as the investment amount x of the real estate industry in each energy-saving and low-carbon strategy i,t , where x i,t represents the initial investment amount of the real estate industry in the energy-saving and low-carbon strategy i in year t.

[0054] Optionally, the steps of determining the objective function of the optimization model include: obtaining the initial investment amount of each preselected energy-saving and low-carbon strategy within the first preset time period, the unit emission reduction operating cost of each preselected energy-saving and low-carbon strategy, and the emission gas volume of each preselected energy-saving and low-carbon strategy; determining the objective function of the optimization model based on the initial investment amount, unit emission reduction operating cost, and emission gas volume.

[0055] In an embodiment of the present invention, the objective function of the optimization model is determined, that is, the total emission reduction cost is minimized. Among them, the emission reduction cost includes: the initial investment cost and operating cost of the energy-saving and low-carbon strategies, etc. In this embodiment, the initial investment amount of each preselected energy-saving and low-carbon strategy within the first preset time period (for example, within a certain year) (for example, the initial investment amount of the real estate industry in the energy-saving and low-carbon strategy i in year t), the unit emission reduction operating cost of each preselected energy-saving and low-carbon strategy (for example, the unit emission reduction operating cost of the energy-saving and low-carbon strategy i in year t), and the emission gas volume of each preselected energy-saving and low-carbon strategy (for example, the carbon dioxide emission reduction amount of the energy-saving and low-carbon strategy i in year t) can be obtained. The total emission reduction cost within a certain time period can be calculated through formula (1) (i.e., the objective function of the optimization model).

[0056]

[0057] Among them, c represents the total cost of energy conservation and emission reduction during the research period, R represents the discount rate, and x i,t represents the initial investment amount of the real estate industry in energy-saving and low-carbon strategy i in the t-th year, year represents the current year, and OM i,t represents the unit emission reduction operation cost of energy-saving and low-carbon strategy i in the t-th year, represents the carbon dioxide emission reduction amount of energy-saving and low-carbon strategy i in the t-th year.

[0058] Optionally, the steps for determining the constraint conditions of the optimization model include: obtaining the total investment budget value of the preselected energy-saving and low-carbon strategies, the total operation cost value of the preselected energy-saving and low-carbon strategies of the target real estate industry, the total preset emission reduction gas volume, the preset energy-saving quantity of the target real estate industry within the second preset time period, and the preset promotion rate; obtaining the constraint conditions based on the total investment budget value, the total operation cost value, the total preset emission reduction gas volume, the preset energy-saving quantity, and the preset promotion rate of the preselected energy-saving and low-carbon strategies.

[0059] In the embodiments of the present invention, to determine the constraint conditions, from the perspectives of economic and social development and environmental protection, combined with the characteristics of the real estate industry, the following seven types of constraint conditions can be considered:

[0060] (1) Constraint on the total budget of energy-saving and low-carbon strategies (i.e., the energy conservation and emission reduction budget of the preselected energy-saving and low-carbon strategies). Since energy conservation and emission reduction should also ensure the healthy and stable development of the real estate industry, there is an upper limit constraint on the input cost of energy-saving and low-carbon strategies. The constraint conditions are as follows:

[0061]

[0062] Among them, year represents the current year, and IB represents the total investment budget value of the energy-saving and low-carbon strategies of the real estate industry (i.e., the total investment budget value of the preselected energy-saving and low-carbon strategies).

[0063] (2) Constraint on operation costs (i.e., the operation costs of the preselected energy-saving and low-carbon strategies). Since the operation costs of some energy-saving and low-carbon strategies are a major expense, high operation costs will have an adverse impact on the liquidity and stability of the investor's cash flow. Therefore, an upper limit on the total operation costs of the investment portfolio is set. The constraint conditions are as follows:

[0064]

[0065] Among them, OB represents the upper limit value of the total operation costs of the energy-saving and low-carbon strategies of the real estate industry (i.e., the total operation cost value of the preselected energy-saving and low-carbon strategies of the target real estate industry).

[0066] (3) Carbon dioxide emission reduction target constraint (i.e., the amount of emission reduction gas). To achieve the "dual carbon" goal, the annual carbon dioxide emissions of the real estate industry are strictly restricted. Based on the emission reduction path of energy conservation and emission reduction, the actual carbon emission prediction value of a certain region, and the carbon emission proportion of the real estate industry in historical years, the annual carbon dioxide amount that should be reduced by the real estate industry in this region can be obtained. The annual carbon dioxide emission reduction of the real estate industry shall not be less than the amount that must be reduced by the real estate industry. The constraint conditions are as follows:

[0067]

[0068] Among them, E i represents the emission reduction amount of energy-saving and low-carbon strategy i when the initial investment cost is I i,t ; TE t represents the total amount of carbon dioxide emission reduction that the real estate industry must achieve in the t-th year for the "dual carbon goal" (i.e., the preset total amount of emission reduction gas).

[0069] (4) Energy-saving target constraint (i.e., energy consumption). Since the real estate industry consumes a large amount of energy in the construction project and building transportation links, therefore, while the real estate industry is carrying out emission reduction, it also needs to control the energy consumption. With the energy-saving target constraint, the constraint conditions are as follows:

[0070]

[0071] Among them, SE i represents the amount of energy saved by energy-saving and low-carbon strategy i when the initial investment cost is I i,t ; TSE t represents the amount of energy conservation that the real estate industry must achieve in the t-th year for the "dual carbon goal" (i.e., the preset energy conservation amount of the target real estate industry in the second preset time period (a certain year, for example, the t-th year)).

[0072] (5) Economic security constraint. The real estate industry in a certain region makes an important contribution to economic growth. Due to the interdependence between industries, the output reduction of one industry will affect the output of other related industries, thus affecting the entire economic system. Therefore, in order to ensure the stable growth of the entire social and economic system, while the real estate industry completes the annual emission reduction target, it is necessary to control the economic reduction caused by emission reduction within a certain range. The constraint conditions are as follows:

[0073]

[0074] Among them, Q represents the gross domestic product output per unit of carbon emissions, and TQ t represents the maximum value of the reduction in the gross domestic product output allowed for the real estate industry in the t-th year.

[0075] (6) Expected industry promotion rate limit of energy-saving and low-carbon strategies (i.e., promotion rate limit of preselected energy-saving and low-carbon strategies). Although many energy-saving and low-carbon strategies have been developed, due to the limitations of their implementation conditions, the actual feasibility of different energy-saving and low-carbon strategies varies. For example, for a technology with low investment but high carbon dioxide emission reduction rate, its construction conditions or operation requirements are very high, and not all enterprises in the real estate industry can meet them. In this embodiment, the preset promotion rate of the industry can be converted into the number of energy-saving and low-carbon strategies of a certain scale, and its constraint conditions are as follows:

[0076]

[0077] Among them, represents the available quantity of energy-saving and low-carbon strategy i in the real estate industry when the initial investment is I.

[0078] (7) Non-negativity constraint of decision variables. The investment amount of the real estate industry in energy-saving and low-carbon strategies is a natural number and is non-negative. Its constraint conditions are as follows:

[0079] x i,t ≥0;

[0080] Step S106, select the preselected energy-saving and low-carbon strategy indicated by the minimum energy-saving and emission-reduction cost as the energy-saving and emission-reduction plan, where the energy-saving and emission-reduction plan is used to perform carbon emission reduction operations on the target real estate industry.

[0081] In the embodiment of the present invention, after obtaining the investment amount of each preselected energy-saving and low-carbon strategy, the preselected energy-saving and low-carbon strategy indicated by the minimum energy-saving and emission-reduction cost can be selected as the energy-saving and emission-reduction plan, and the energy-saving and emission-reduction plan is used to perform carbon emission reduction operations on the target real estate industry, so as to achieve the purpose of realizing the emission reduction target at the minimum cost in the real estate industry.

[0082] In the embodiment of the present invention, based on the energy-saving and emission-reduction plan of the real estate industry formed by linear programming, the selection of the optimal energy-saving and low-carbon strategy in the real estate industry under the "dual-carbon" goal can be realized. First, a cost-benefit analysis is performed on each energy-saving and low-carbon strategy, then multiple energy-saving and low-carbon strategies with relatively low unit emission reduction costs in the real estate industry are screened out. Finally, with the goal of minimizing the total emission reduction cost under the dual-carbon goal, a strategy optimization model for realizing the dual-carbon goal is established, and a preset software can be used to solve the model to obtain the optimal energy-saving and low-carbon strategy in the real estate industry under the dual-carbon goal. It can not only achieve the emission reduction target at the minimum cost, but also formulate a detailed and reliable emission reduction plan for the real estate industry, further implementing the emission reduction work. Moreover, in the model, on the basis of considering the emission reduction target constraint, the impact of emission reduction on the economy and employment is also considered, making the obtained results more realistic.

[0083] Embodiment 2

[0084] Figure 2 It is a schematic diagram of an optional method for selecting energy-saving and low-carbon strategies in the industry according to an embodiment of the present invention. As Figure 2 shown, it includes: cost-benefit analysis of energy-saving and low-carbon strategies, screening of energy-saving and low-carbon strategies, optimization of energy-saving and low-carbon strategies, and the best energy-saving and emission-reduction solutions for the real estate industry. The specific process is as follows:

[0085] (1) Cost-benefit analysis of energy-saving and low-carbon strategies: According to various parameters of energy-saving and low-carbon strategies that have been vigorously promoted in the real estate industry in recent years, calculate the unit emission reduction cost of each technology.

[0086] The collection and collation of energy-saving and low-carbon strategies and their related parameters are the basis of the entire model. By sorting out the obtained information, the key parameters of each energy-saving and low-carbon strategy can be obtained, including the name and scope of application of the energy-saving and low-carbon strategy, initial investment cost, annual emission reduction capacity, annual energy-saving capacity, future industry promotion rate, etc. Further cost-benefit analysis of the energy-saving and low-carbon strategies is carried out based on these data and information.

[0087] In this embodiment, the steps for calculating the unit emission reduction cost of each technology are as follows:

[0088] Step 1: Sort out the important parameters of energy-saving and low-carbon strategies that have been vigorously promoted in the real estate industry in recent years. The parameters mainly include: initial investment amount, annual emission reduction capacity, annual energy-saving capacity, operation and maintenance cost, technical life cycle, etc. For example, temperature and humidity independent control system technology, heat pump two-stage compression variable frequency and enthalpy increase energy-saving technology, etc.

[0089] Step 2: After obtaining these parameter data, the unit energy-saving and emission-reduction cost can be calculated according to the investment amount, operation and maintenance cost, annual emission reduction capacity and technical life cycle of each energy-saving and low-carbon strategy in the real estate industry. The formula is as follows:

[0090]

[0091] Among them, UC i,t represents the unit energy-saving and emission-reduction cost of energy-saving and low-carbon strategy i; I i,t represents the initial investment of energy-saving and low-carbon strategy i in the initial investment year t; OM i represents the annual operation cost of energy-saving and low-carbon strategy i; R represents the discount rate; E i represents the emission reduction amount of energy-saving and low-carbon strategy i in one year; T i represents the life cycle of energy-saving and low-carbon strategy i.

[0092] (2) Screening of energy-saving and low-carbon strategies: Sort all energy-saving and low-carbon strategies in the real estate industry according to the unit emission reduction cost, and select relatively economical energy-saving and low-carbon strategies.

[0093] (3) Optimization of energy-saving and low-carbon strategies: Aiming at minimizing the total emission reduction cost under the dual-carbon goal, a method for selecting strategies to achieve the dual-carbon goal is established, and a preset software can be used to solve the model. The specific process is as follows:

[0094] 1), Determine the decision variables of the optimization model, that is, determine the investment amount x of the real estate industry in each energy-saving and low-carbon strategy i,t , x i,t represents the initial investment amount of the real estate industry in energy-saving and low-carbon strategy i in year t;

[0095] 2), Determine the objective function of the optimization model, that is, minimize the total energy conservation and emission reduction cost of the real estate industry. The emission reduction cost mainly includes the initial investment cost and operation cost of energy-saving and low-carbon strategies;

[0096]

[0097] Among them, c represents the total energy conservation and emission reduction cost within a certain time period, R represents the discount rate, x i,t represents the initial investment amount of the real estate industry in energy-saving and low-carbon strategy i in the t-th year, year represents the current year, and OM i,t represents the unit emission reduction operation cost of energy-saving and low-carbon strategy i in the t-th year, represents the carbon dioxide emission reduction amount of energy-saving and low-carbon strategy i in the t-th year.

[0098] 3), Determine the constraint conditions of the optimization model. From the perspectives of economic and social development and environmental protection, combined with the characteristics of the real estate industry, the following seven types of constraint conditions can be considered:

[0099] A), Constraint on the total budget of energy-saving and low-carbon strategies. Since energy conservation and emission reduction should also ensure the healthy and stable development of the real estate industry, there is an upper limit constraint on the input cost of energy-saving and low-carbon strategies. The constraint conditions are as follows:

[0100]

[0101] Among them, year represents the current year, and IB represents the total investment budget value of the real estate industry's energy-saving and low-carbon strategies.

[0102] B), Constraint on operation costs. Since the operation costs of some energy-saving and low-carbon strategies are a major expenditure, high operation costs will have an adverse impact on the liquidity and stability of the investor's cash flow. Therefore, an upper limit on the total operation cost of the investment portfolio is set. The constraint conditions are as follows:

[0103]

[0104] Among them, OB represents the upper limit value of the total operation cost of the real estate industry's energy-saving and low-carbon strategies.

[0105] C), Constraints on carbon dioxide emission reduction targets. To achieve the "dual carbon" goal, the annual carbon dioxide emissions of the real estate industry are strictly restricted. Based on the emission reduction path of energy conservation and emission reduction, the actual carbon emission prediction value of a certain region, and the historical carbon emission proportion of the real estate industry, the amount of carbon dioxide that should be reduced annually by the real estate industry in this region can be obtained. The annual carbon dioxide emission reduction of the real estate industry shall not be less than the amount that must be reduced by the real estate industry. The constraint conditions are as follows:

[0106]

[0107] Among them, E i represents the emission reduction amount of the energy-saving and low-carbon strategy i when the initial investment cost is I i,t ; TE t represents the amount of carbon dioxide emission reduction that the real estate industry must achieve in the t-th year for the "dual carbon goal".

[0108] D), Constraints on energy-saving targets. Since the real estate industry consumes a large amount of energy in the construction project and building transportation links, therefore, while the real estate industry is reducing emissions, it also needs to control the energy usage. There are constraints on energy-saving targets, and the constraint conditions are as follows:

[0109]

[0110] Among them, SE i represents the amount of energy saved by the energy-saving and low-carbon strategy i when the initial investment cost is I i,t ; TSE t represents the amount of energy that the real estate industry must save in the t-th year for the "dual carbon goal".

[0111] E), Constraints on economic security. The real estate industry in a certain region makes an important contribution to economic growth. Due to the interdependence between industries, a reduction in the output of one industry will affect the output of other related industries, thereby affecting the entire economic system. Therefore, to ensure the stable growth of the entire social and economic system, while the real estate industry completes the annual emission reduction target, it is necessary to control the economic reduction caused by emission reduction within a certain range. The constraint conditions are as follows:

[0112]

[0113] Among them, Q represents the gross domestic product output per unit of carbon emissions, and TQ t represents the maximum value of the reduction in the gross domestic product output allowed for the real estate industry in the t-th year.

[0114] F), The expected industry promotion rate limit of energy-saving and low-carbon strategies. Although many energy-saving and low-carbon strategies have been developed, due to the limitations of their implementation conditions, the actual feasibility of different energy-saving and low-carbon strategies varies. For example, for a technology with a small investment but a high carbon dioxide emission reduction rate, its construction conditions or operation requirements are very high, and not all enterprises in the real estate industry can meet them. In this embodiment, the preset promotion rate of the industry can be converted into the quantity of a certain scale of energy-saving and low-carbon strategies, and its constraint conditions are as follows:

[0115]

[0116] Among them, represents the available quantity of the energy-saving and low-carbon strategy i in the real estate industry when the initial investment is I.

[0117] G), Non-negativity constraint of decision variables. The investment amount of the real estate industry in energy-saving and low-carbon strategies is a natural number and is non-negative. Its constraint conditions are as follows:

[0118] x i,t ≥0;

[0119] (4) A preset software can be used to solve the model to obtain the best energy-saving and emission reduction plan for the real estate industry under the dual-carbon goal.

[0120] In the embodiment of the present invention, the cost-benefit analysis can be first performed on each energy-saving and low-carbon strategy, and then multiple energy-saving and low-carbon strategies with relatively small unit emission reduction costs in the real estate industry can be selected. Finally, with the goal of minimizing the total emission reduction cost under the dual-carbon goal, a strategy optimization model for achieving the dual-carbon goal is established, and a preset software can be used to solve the model to obtain the optimal energy-saving and low-carbon strategy for the real estate industry under the dual-carbon goal. This can not only achieve the emission reduction goal at the lowest cost, but also formulate a detailed and reliable emission reduction plan for the real estate industry, further implementing the emission reduction work. Moreover, in the model, on the basis of considering the emission reduction target constraint, the impact of emission reduction on the economy and employment is also considered, making the obtained results more realistic.

[0121] Embodiment III

[0122] The selection device for an energy-saving and emission reduction plan provided in this embodiment includes multiple implementation units, and each implementation unit corresponds to each implementation step in Embodiment I above.

[0123] Figure 3 is a schematic diagram of a selection device for an energy-saving and emission reduction plan according to an embodiment of the present invention. As Figure 3 shown, the selection device may include: a first acquisition unit 30, a first calculation unit 32, and a selection unit 34, where,

[0124] The first acquisition unit 30 is configured to acquire constraint data, where the constraint data at least includes: energy conservation and emission reduction budget data for each preselected energy-saving and low-carbon strategy, operating cost data for each preselected energy-saving and low-carbon strategy, emission reduction gas volume data, energy consumption data, and promotion rate data for each preselected energy-saving and low-carbon strategy;

[0125] The first calculation unit 32 is configured to calculate the investment data for each preselected energy-saving and low-carbon strategy based on the constraint data by using a pre-constructed optimization model, and obtain a plurality of optimized result data, where each optimized result data includes energy conservation and emission reduction costs;

[0126] The selection unit 34 is configured to select the preselected energy-saving and low-carbon strategy indicated by the minimum energy conservation and emission reduction cost as the energy conservation and emission reduction plan, where the energy conservation and emission reduction plan is used to perform carbon emission reduction operations on the target real estate industry.

[0127] The above selection unit can acquire constraint data through the first acquisition unit 30, calculate the investment data for each preselected energy-saving and low-carbon strategy based on the constraint data by using a pre-constructed optimization model through the first calculation unit 32 to obtain a plurality of optimized result data, and select the preselected energy-saving and low-carbon strategy indicated by the minimum energy conservation and emission reduction cost as the energy conservation and emission reduction plan through the selection unit 34, where the energy conservation and emission reduction plan is used to perform carbon emission reduction operations on the target real estate industry. In the embodiment of the present invention, through the optimization model constructed with the goal of minimizing energy conservation and emission reduction costs, the optimal energy-saving and low-carbon strategy for the real estate industry under the "dual carbon" goal can be obtained. Adopting this optimal energy-saving and low-carbon strategy can not only achieve the emission reduction goal at the lowest cost, but also formulate a detailed and reliable emission reduction plan for the real estate industry, further implement the emission reduction work, and thus solve the technical problem in the related art that multiple energy-saving and low-carbon strategies cannot be refined, resulting in the inoperability of the energy-saving and low-carbon strategies and affecting the carbon emission reduction operations on the real estate industry.

[0128] Optionally, before acquiring the constraint data, the selection device further includes: a second acquisition unit configured to acquire parameter data of each initial energy-saving and low-carbon strategy in the initial energy-saving and low-carbon strategy set during the historical process, where the initial energy-saving and low-carbon strategy set includes a plurality of initial energy-saving and low-carbon strategies, and the parameter data at least includes: initial investment cost, operation and maintenance cost, annual emission reduction amount, and life cycle; a second calculation unit configured to calculate the unit emission reduction cost of each initial energy-saving and low-carbon strategy based on the parameter data.

[0129] Optionally, the selection device further includes: a first sorting module, configured to sort the unit emission reduction costs of each initial energy-saving and low-carbon strategy after calculating the unit emission reduction cost of each initial energy-saving and low-carbon strategy based on parameter data, so as to obtain a sorting result; a first selection module, configured to select, based on the sorting result, the initial energy-saving and low-carbon strategies with unit emission reduction costs less than a preset value, and use the selected initial energy-saving and low-carbon strategies as preselected energy-saving and low-carbon strategies.

[0130] Optionally, the first calculation unit includes: a first determination module, configured to determine the decision variables of the optimization model, where the decision variables are used to determine the investment amounts of the target real estate industry in various energy-saving and low-carbon strategies; a second determination module, configured to determine the objective function of the optimization model, where the objective function is used to select the minimum energy-saving and emission reduction costs within a specified time period, and the energy-saving and emission reduction costs at least include: initial investment costs and operating costs; a third determination module, configured to determine the constraint conditions of the optimization model, where the constraint conditions at least include: the energy-saving and emission reduction budgets of each preselected energy-saving and low-carbon strategy, the operating costs of each preselected energy-saving and low-carbon strategy, the emission gas volume, the energy usage, and the promotion rate limits of each preselected energy-saving and low-carbon strategy; a first calculation module, configured to calculate the investment data of each preselected energy-saving and low-carbon strategy based on the constraint data, decision variables, objective function, and constraint conditions.

[0131] Optionally, the second determination module includes: a first acquisition sub-module, configured to acquire the initial investment amount of each preselected energy-saving and low-carbon strategy, the unit emission reduction operating cost of each preselected energy-saving and low-carbon strategy, and the emission gas volume of each preselected energy-saving and low-carbon strategy within a first preset time period; a first determination sub-module, configured to determine the objective function of the optimization model based on the initial investment amount, unit emission reduction operating cost, and emission gas volume.

[0132] Optionally, the third determination module includes: a second acquisition sub-module, configured to acquire the total investment budget value of the preselected energy-saving and low-carbon strategies, the total operating cost value of the preselected energy-saving and low-carbon strategies of the target real estate industry, the preset total emission gas volume, the preset energy-saving quantity of the target real estate industry within a second preset time period, and the preset promotion rate; a first output sub-module, configured to obtain the constraint conditions based on the total investment budget value, total operating cost value, preset total emission gas volume, preset energy-saving quantity, and preset promotion rate of the preselected energy-saving and low-carbon strategies.

[0133] The above selection device may further include a processor and a memory. The above first acquisition unit 30, first calculation unit 32, selection unit 34, etc. are all stored in the memory as program units, and the processor executes the above program units stored in the memory to implement corresponding functions.

[0134] The above-mentioned processor contains a kernel, which retrieves corresponding program units from the memory. One or more kernels can be set, and by adjusting the kernel parameters, the preselected energy-saving and low-carbon strategy indicated by the minimum energy-saving and emission-reduction cost is selected as the energy-saving and emission-reduction solution.

[0135] The above-mentioned memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of, for example, read-only memory (ROM) or flash RAM (flash RAM). The memory includes at least one memory chip.

[0136] The present application also provides a computer program product, which, when executed on a data processing device, is adapted to execute a program initialized with the following method steps: obtaining constraint data, based on the constraint data, using a pre-constructed optimization model to calculate the investment data of each preselected energy-saving and low-carbon strategy, obtaining multiple optimized result data, and selecting the preselected energy-saving and low-carbon strategy indicated by the minimum energy-saving and emission-reduction cost as the energy-saving and emission-reduction solution, where the energy-saving and emission-reduction solution is used to perform carbon emission reduction operations on the target real estate industry.

[0137] 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 the method for selecting the energy-saving and emission-reduction solution of any one of the above through executing the executable instructions.

[0138] According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium, which includes a stored computer program, wherein when the computer program runs, it controls the device where the computer-readable storage medium is located to execute the method for selecting the energy-saving and emission-reduction solution of any one of the above.

[0139] The serial numbers of the above-mentioned embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0140] In the above-mentioned embodiments of the present invention, the descriptions of the respective embodiments have their own emphases. For parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0141] In several embodiments provided by the present application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only illustrative. For example, the division of the units can be a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of units or modules can be in an electrical or other form.

[0142] The unit described as a separation component may or may not be physically separated. The component shown as a unit may or may not be a physical unit, that is, it may be located in one place or distributed over multiple units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0143] In addition, each functional unit in various embodiments of the present invention can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0144] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: USB flash drives, read-only memories (ROMs), random access memories (RAMs), mobile hard disks, magnetic disks, or optical discs and other various media that can store program codes.

[0145] The above description is only a preferred embodiment of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A method for selecting an energy conservation and emission reduction solution, characterized in that, it includes: Obtain constraint data, where the constraint data at least includes: energy conservation and emission reduction budget data for each preselected energy conservation and low-carbon strategy, operating cost data for each preselected energy conservation and low-carbon strategy, emission gas volume data, energy usage data, and promotion rate data for each preselected energy conservation and low-carbon strategy; Based on the constraint data, using a pre-constructed optimization model, calculate the investment data for each of the preselected energy conservation and low-carbon strategies to obtain multiple optimized result data, where each of the optimized result data includes energy conservation and emission reduction costs; The step of calculating the investment data for each of the preselected energy conservation and low-carbon strategies based on the constraint data using a pre-constructed optimization model includes: determining the decision variables of the optimization model, where the decision variables are used to determine the investment amounts of the target real estate industry for each energy conservation and low-carbon strategy; determining the objective function of the optimization model, where the objective function is used to select the minimum energy conservation and emission reduction cost within a specified time period, and the energy conservation and emission reduction cost at least includes: initial investment cost and operating cost; determining the constraint conditions of the optimization model, where the constraint conditions at least include: energy conservation and emission reduction budgets for each preselected energy conservation and low-carbon strategy, operating costs for each preselected energy conservation and low-carbon strategy, emission gas volumes, energy usage amounts, and promotion rate limits for each preselected energy conservation and low-carbon strategy; based on the constraint data, the decision variables, the objective function, and the constraint conditions, calculate the investment data for each of the preselected energy conservation and low-carbon strategies; Select the preselected energy conservation and low-carbon strategy indicated by the minimum energy conservation and emission reduction cost as the energy conservation and emission reduction solution, where the energy conservation and emission reduction solution is used to perform carbon emission reduction operations on the target real estate industry; The step of obtaining the preselected energy conservation and low-carbon strategies includes: before obtaining the constraint data, obtaining the parameter data of each initial energy conservation and low-carbon strategy in the initial energy conservation and low-carbon strategy set during the historical process, where the initial energy conservation and low-carbon strategy set includes: a plurality of initial energy conservation and low-carbon strategies, and the parameter data at least includes: initial investment cost, operation and maintenance cost, annual emission reduction amount, and life cycle; based on the parameter data, calculate the unit emission reduction cost of each of the initial energy conservation and low-carbon strategies; sort the unit emission reduction costs of each of the initial energy conservation and low-carbon strategies to obtain a sorting result; based on the sorting result, select the initial energy conservation and low-carbon strategies with unit emission reduction costs less than a preset value, and use the selected initial energy conservation and low-carbon strategies as the preselected energy conservation and low-carbon strategies.

2. The selection method according to claim 1, characterized in that, The step of determining the objective function of the optimization model includes: Obtain the initial investment amount of each of the preselected energy conservation and low-carbon strategies, the unit emission reduction operating cost of each of the preselected energy conservation and low-carbon strategies, and the emission gas volume of each of the preselected energy conservation and low-carbon strategies within the first preset time period; Based on the initial investment amount, the unit emission reduction operating cost, and the emission gas volume, determine the objective function of the optimization model.

3. The selection method according to claim 1, characterized in that, The steps of determining the constraint conditions of the optimization model include: Obtaining the total investment budget value of the preselected energy-saving and low-carbon strategies, the total operating cost value of the preselected energy-saving and low-carbon strategies in the target real estate industry, the preset total amount of reduced emissions, the preset energy-saving quantity of the target real estate industry within the second preset time period, and the preset promotion rate; Based on the total investment budget value of the preselected energy-saving and low-carbon strategies, the total operating cost value, the preset total amount of reduced emissions, the preset energy-saving quantity, and the preset promotion rate, obtaining the constraint conditions.

4. An apparatus for selecting an energy-saving and emission-reduction solution, Characterized in that, It includes: A first acquisition unit for acquiring constraint data, where the constraint data at least includes: energy-saving and emission-reduction budget data for each preselected energy-saving and low-carbon strategy, operating cost data for each preselected energy-saving and low-carbon strategy, emission gas volume data, energy consumption data, and promotion rate data for each preselected energy-saving and low-carbon strategy; A first calculation unit for calculating the investment data of each preselected energy-saving and low-carbon strategy by using a pre-constructed optimization model based on the constraint data, and obtaining a plurality of optimized result data, where each optimized result data includes energy-saving and emission-reduction costs; The first calculation unit includes: a first determination module for determining the decision variables of the optimization model, where the decision variables are used to determine the investment amounts of the target real estate industry for various energy-saving and low-carbon strategies; a second determination module for determining the objective function of the optimization model, where the objective function is used to select the minimum energy-saving and emission-reduction cost within a specified time period, and the energy-saving and emission-reduction costs at least include: initial investment costs and operating costs; a third determination module for determining the constraint conditions of the optimization model, where the constraint conditions at least include: energy-saving and emission-reduction budgets for each preselected energy-saving and low-carbon strategy, operating costs for each preselected energy-saving and low-carbon strategy, emission gas volumes, energy consumption, and promotion rate limits for each preselected energy-saving and low-carbon strategy; a first calculation module for calculating the investment data of each preselected energy-saving and low-carbon strategy based on the constraint data, the decision variables, the objective function, and the constraint conditions; A selection unit for selecting the preselected energy-saving and low-carbon strategy indicated by the minimum energy-saving and emission-reduction cost as the energy-saving and emission-reduction solution, where the energy-saving and emission-reduction solution is used to perform carbon emission reduction operations on the target real estate industry; Before acquiring the constraint data, the selection apparatus further includes: a second acquisition unit for acquiring parameter data of each initial energy-saving and low-carbon strategy in the initial energy-saving and low-carbon strategy set during the historical process, where the initial energy-saving and low-carbon strategy set includes: a plurality of initial energy-saving and low-carbon strategies, and the parameter data at least includes: initial investment costs, operation and maintenance costs, annual emission reduction amounts, and life cycles; a second calculation unit for calculating the unit emission reduction cost of each initial energy-saving and low-carbon strategy based on the parameter data. The selection device further includes: a first sorting module, configured to sort the unit emission reduction costs of each of the initial energy-saving and low-carbon strategies after calculating the unit emission reduction cost of each of the initial energy-saving and low-carbon strategies based on the parameter data, so as to obtain a sorting result; a first selection module, configured to select, based on the sorting result, the initial energy-saving and low-carbon strategies with a unit emission reduction cost less than a preset value, and use the selected initial energy-saving and low-carbon strategies as the preselected energy-saving and low-carbon strategies.

5. An electronic device, characterized in that it includes: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute the selection method of the energy conservation and emission reduction solution according to any one of claims 1 to 3 by executing the executable instructions.

6. A computer-readable storage medium, characterized in that the computer-readable storage medium includes a stored computer program, wherein when the computer program runs, it controls the device where the computer-readable storage medium is located to execute the selection method of the energy conservation and emission reduction solution according to any one of claims 1 to 3.

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