Building carbon emission decision-making method and device based on full life cycle, equipment, medium and product

Abstract

The invention discloses a building carbon emission decision-making method, device and equipment based on a full life cycle, a medium and a product. The method comprises the following steps: acquiring a plurality of design schemes and corresponding morphological parameters of a large-space public building; performing parametric modeling and model translation on the morphological parameters to obtain a morphological description model and a substance description model; calculating year-by-year carbon emission data of each design scheme in the full life cycle of the large-space public building according to energy consumption data of the form description model and material data and carbon emission factors of the material description model; according to the year-by-year carbon emission data of each design scheme, calculating the weight of each year-by-year life cycle stage of each design scheme, and obtaining a weighting matrix; and sorting the design schemes according to the weighting matrix, and selecting an optimal design scheme according to a sorting result. By adopting the embodiment of the invention, the carbon emission calculation can be carried out in the early stage of building design, and the scheme with the optimal carbon emission performance can be evaluated and decided, so that the construction of energy-saving and carbon-reducing buildings is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of building carbon emissions, and particularly relates to a building carbon emission decision-making method, device, equipment, medium and product based on the whole life cycle. Background Art

[0002] Large-space public buildings cover various important public building types such as sports buildings, convention centers, railway station buildings, airport terminals, etc., and have characteristics such as high energy consumption intensity, high construction investment, and large carbon emissions. At the same time, the forms of large-space public buildings are complex and changeable, and have energy consumption characteristics different from those of office buildings, residential buildings and other types. Different from the carbon emission calculation of simple single buildings, due to the complex scale and form and diverse structural forms of large-space public buildings themselves, the difficulty of carbon emission calculation is greatly increased, resulting in difficulty in calculating carbon emissions and evaluating and making decisions on the optimal carbon emission performance scheme in the early stage of design, so that the constructed large-space public buildings perform poorly in energy conservation and carbon reduction. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a building carbon emission decision-making method, device, equipment, medium and product based on the whole life cycle to solve the problem of difficulty in calculating carbon emissions and evaluating and making decisions on the optimal carbon emission performance scheme in the early stage of design, and help to build large-space public buildings with low carbon emissions and reduced carbon emissions.

[0004] To achieve the above object, an embodiment of the present invention provides a building carbon emission decision-making method based on the whole life cycle, including:

[0005] Obtain multiple design schemes of a large-space public building, where the design scheme includes the morphological parameters of the large-space public building;

[0006] Perform parametric modeling and model translation on the morphological parameters of each design scheme to obtain a morphological description model and a material description model of the large-space public building; wherein, the morphological description model is used to connect to a performance simulation engine to calculate the building operation energy consumption; the material description model is used to provide material data and carbon emission factors for calculating carbon emissions;

[0007] According to the energy consumption data of the morphological description model and the material data and carbon emission factors of the material description model, calculate the annual carbon emission data of each design scheme of the large-space public building in the whole life cycle; wherein, the whole life cycle of the large-space public building includes the building material production stage, the building construction stage, the building operation stage and the building demolition stage;

[0008] According to the annual carbon emission data of each design scheme, calculate the weight of each life cycle stage of each design scheme year by year, and obtain a weighted matrix;

[0009] Rank the design solutions according to the weighted matrix, and select the optimal design solution based on the ranking results.

[0010] As an improvement to the above solution, parametric modeling and model translation are performed on the morphological parameters of each design solution to obtain a morphological description model and a material description model, including:

[0011] Based on a parametric modeling platform, generate a corresponding three-dimensional surface model of the large-space public building according to the morphological parameters; wherein, the morphological parameters include spatial morphological parameters, structural morphological parameters, and component morphological parameters;

[0012] Convert the three-dimensional surface model into a corresponding mesh surface model according to a preset conversion algorithm, and select the corresponding conversion accuracy according to the simulation accuracy;

[0013] Check the geometric closure of the mesh surface model, and process the mesh surface model into a closed morphological description model that can be docked with the performance simulation engine according to a preset processing algorithm according to the simulation accuracy, and obtain each component of the large-space public building and the corresponding geometric information;

[0014] Convert the morphological description model into a material description model that can be used for carbon emission assessment according to the material information corresponding to each component and the geometric information.

[0015] As an improvement to the above solution, calculating the weights of each life cycle stage of each design solution year by year according to the carbon emission data of each design solution, and obtaining a weighted matrix, including:

[0016] Construct a carbon emission matrix showing the change of the carbon emissions of the whole life cycle of each design solution over time according to the carbon emission data of each design solution year by year;

[0017] Based on the carbon emission matrix, calculate the weights of each life cycle stage of each design solution year by year according to the objective standard weighting method;

[0018] Weight the carbon emission matrix according to the weights to obtain a weighted matrix.

[0019] As an improvement to the above solution, if the objective standard weighting method is the entropy weight method, then calculating the weights of each life cycle stage of each design solution year by year based on the carbon emission matrix according to the objective standard weighting method includes:

[0020] Normalize the carbon emission matrix to obtain a decision matrix;

[0021] Calculate the entropy value of each design solution at each life cycle stage per year according to the decision matrix;

[0022] Calculate the diversification degree of each design solution at each life cycle stage per year according to the entropy value;

[0023] Calculate the weight of each design solution at each life cycle stage per year according to the diversification degree.

[0024] As an improvement of the above solution, sorting the design solutions according to the weighted matrix and selecting the optimal design solution according to the sorting result includes:

[0025] Based on the weighted matrix, sort all the design solutions according to the multi-criteria decision-making method to obtain the sorting curve of the carbon emissions of all the design solutions over the life cycle changing with time;

[0026] Select the optimal design solution according to the sorting curve.

[0027] As an improvement of the above solution, the step of sorting all the design solutions according to the multi-criteria decision-making method based on the weighted matrix to obtain the sorting curve of the carbon emissions of all the design solutions over the life cycle changing with time includes:

[0028] Calculate the positive ideal solution and the negative ideal solution of the large-space public building year by year over the life cycle according to the weighted matrix;

[0029] For each design solution, calculate the distance between the weighted matrix and the positive ideal solution and the negative ideal solution each year;

[0030] Calculate the relative closeness of the weighted matrix to the positive ideal solution each year according to the distance to obtain the closeness matrix;

[0031] Sort the relative closeness in the closeness matrix year by year to obtain the sorting curve of the carbon emissions of all the design solutions over the life cycle changing with time.

[0032] The embodiment of the present invention also provides a building carbon emission decision-making device based on the whole life cycle, including:

[0033] A data acquisition module, configured to acquire a plurality of design solutions of a large-space public building, and the design solutions include the morphological parameters of the large-space public building;

[0034] A model translation module, which is used to perform parametric modeling and model translation on the morphological parameters of each of the design schemes to obtain a morphological description model and a material description model of the large-space public building; wherein, the morphological description model is used to interface with a performance simulation engine to calculate the building operation energy consumption; the material description model is used to provide material data and carbon emission factors for calculating carbon emissions;

[0035] A carbon emission calculation module, which is used to calculate the annual carbon emission data of each of the design schemes in the whole life cycle of the large-space public building according to the energy consumption data of the morphological description model and the material data and carbon emission factors of the material description model; wherein, the whole life cycle of the large-space public building includes a building material production stage, a building construction stage, a building operation stage, and a building demolition stage;

[0036] A weight calculation module, which is used to calculate the weights of each of the design schemes in each life cycle stage year by year according to the annual carbon emission data of each of the design schemes, and obtain a weighted matrix;

[0037] A scheme decision-making module, which is used to sort the design schemes according to the weighted matrix, and select the optimal design scheme according to the sorting result.

[0038] An embodiment of the present invention also provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, the method for making a building carbon emission decision based on the whole life cycle described in any one of the above is implemented.

[0039] An embodiment of the present invention also provides a computer-readable storage medium, which includes a stored computer program. When the computer program runs, the device where the computer-readable storage medium is located is controlled to execute the method for making a building carbon emission decision based on the whole life cycle described in any one of the above.

[0040] An embodiment of the present invention also provides a computer program product, which includes a computer program or computer instructions. When the computer program or the computer instructions are executed by a processor, the method for making a building carbon emission decision based on the whole life cycle described in any one of the above is implemented.

[0041] Compared with the prior art, the beneficial effects of a building carbon emission decision-making method, device, equipment, medium and product based on the whole life cycle provided by the embodiments of the present invention are as follows: By obtaining multiple design schemes of a large-space public building, the design schemes including the morphological parameters of the large-space public building; performing parametric modeling and model translation on the morphological parameters of each design scheme to obtain a morphological description model and a material description model of the large-space public building; wherein, the morphological description model is used to interface with a performance simulation engine to calculate the building operation energy consumption; the material description model is used to provide material data and carbon emission factors for calculating carbon emissions; according to the energy consumption data of the morphological description model and the material data and carbon emission factors of the material description model, calculating the annual carbon emission data of each design scheme of the large-space public building in the whole life cycle; wherein, the whole life cycle of the large-space public building includes the building material production stage, the building construction stage, the building operation stage and the building demolition stage; according to the annual carbon emission data of each design scheme, calculating the weight of each life cycle stage of each design scheme year by year, and obtaining a weighted matrix; sorting the design schemes according to the weighted matrix, and selecting the optimal design scheme according to the sorting result. The embodiments of the present invention can calculate carbon emissions and evaluate and decide on the optimal carbon emission performance scheme in the early stage of building design, which helps to build energy-saving and carbon-reducing buildings. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 FIG. is a schematic flowchart of a building carbon emission decision-making method based on the whole life cycle provided by the embodiments of the present invention;

[0043] Figure 2 FIG. is a schematic diagram of a sorting curve in a building carbon emission decision-making method based on the whole life cycle provided by the embodiments of the present invention;

[0044] Figure 3 FIG. is a schematic structural diagram of a building carbon emission decision-making device based on the whole life cycle provided by the embodiments of the present invention;

[0045] Figure 4 FIG. is a schematic structural diagram of a preferred embodiment of a terminal device provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with 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. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0047] In the prior art, most of the calculation methods for building carbon emissions are carbon emission calculations within a fixed life cycle time, lacking a carbon emission curve that changes with time within the life cycle, unable to compare with the building's dual-carbon target curve, and there is no method of applying multi-criteria decision-making technology and multi-criteria decision-making technology combined with time-series changes to carbon emission assessment. The present invention not only expands on the traditional fixed-life-cycle carbon emission accounting, but also innovatively introduces a time-series dynamic decision analysis method. By decomposing the operating carbon emission data of the building after completion on a yearly basis, constructing a two-dimensional matrix in combination with the carbon emission data of each stage, and then using the entropy weight method for normalization and weighting, the present invention realizes a dynamic assessment of the carbon emission trends of each design scheme over time. Finally, by fitting with the dual-carbon target curve proposed by the country or region, the present invention can timely feedback the adaptability of each design scheme in achieving the carbon peak and carbon neutrality goals, thereby providing clear and scientific improvement suggestions for decision-makers.

[0048] Please refer to Figure 1 , Figure 1 which is a schematic flow chart of a building carbon emission decision-making method based on the whole life cycle provided by an embodiment of the present invention. The building carbon emission decision-making method based on the whole life cycle includes:

[0049] S1. Obtain multiple design schemes for large-space public buildings, where the design schemes include the morphological parameters of the large-space public buildings;

[0050] S2. Perform parametric modeling and model translation on the morphological parameters of each design scheme to obtain a morphological description model and a material description model of the large-space public building; wherein, the morphological description model is used to interface with the performance simulation engine to calculate the building operation energy consumption; the material description model is used to provide material data and carbon emission factors for calculating carbon emissions;

[0051] S3. Calculate the annual carbon emission data of each design scheme of the large-space public building throughout the whole life cycle according to the energy consumption data of the morphological description model and the material data and carbon emission factors of the material description model; wherein, the whole life cycle of the large-space public building includes the building material production stage, the building construction stage, the building operation stage, and the building demolition stage;

[0052] S4. Calculate the weight of each life cycle stage of each design scheme year by year according to the annual carbon emission data of each design scheme, and obtain a weighted matrix;

[0053] S5. Sort the design schemes according to the weighted matrix, and select the optimal design scheme according to the sorting result.

[0054] It can be understood that, different from the carbon emission assessment after the construction of a building, the present invention is based on the building design process stage, promotes early design iteration through advanced carbon emission assessment, and realizes energy conservation and carbon reduction of the building.

[0055] In an embodiment of the present invention, based on a parametric modeling platform, the core space of a large-space public building is translated into a form description model and a material classification description model during the design stage; according to the material parameter data of the material description model and the building operation energy consumption information obtained from the form description model, combined with the carbon emission factor information, the carbon emissions of each item in the whole life cycle of the large-space public building are comprehensively calculated; the multi-criteria decision-making tool is extended to the whole life cycle of the building, and the annual decision-making curve of the carbon emission change of each design scheme with the completion time is obtained based on the annual carbon emissions of the whole life cycle of the building for scheme evaluation and optimization, and the design scheme with the best carbon emission performance of the large-space public building is obtained, so that carbon emission accounting can be carried out in the early stage of building design and the design scheme with the best carbon emission performance can be evaluated and decided, which helps to build energy-saving and carbon-reducing buildings.

[0056] In an alternative embodiment, step S2, performing parametric modeling and model translation on the form parameters of each design scheme to obtain a form description model and a material description model, includes:

[0057] S201, based on a parametric modeling platform, generating a corresponding three-dimensional surface model of the large-space public building according to the form parameters; wherein, the form parameters include space form parameters, structural form parameters, and component form parameters;

[0058] S202, converting the three-dimensional surface model into a corresponding mesh surface model according to a preset conversion algorithm, and selecting a corresponding conversion accuracy according to the simulation accuracy;

[0059] S203, performing geometric closure inspection on the mesh surface model, and processing the mesh surface model into a closed form description model that can be docked with a performance simulation engine according to a preset processing algorithm according to the simulation accuracy, and obtaining each component of the large-space public building and the corresponding geometric information;

[0060] S204, converting the form description model into a material description model that can be used for carbon emission assessment according to the material information corresponding to each component and the geometric information.

[0061] It can be understood that the core space of a large-space public building is often relatively complex, mainly in the form of free-form surfaces, and most of the existing energy consumption calculation software cannot support the simulation analysis of free-form surfaces. Therefore, it is necessary to first translate the core space of the large-space public building into a description model that can be used for simulation evaluation.

[0062] Among them, the morphological parameters include the geometric morphological parameters of the building ground, the geometric morphological parameters of the building wall, the morphological height of the building roof, and the curve morphological parameters of the X-axis and Y-axis of the building roof; the structural morphological parameters include the building structure type, the building structure axis distribution parameters, and the building structure component size parameters; the component parameters include the building skylight area parameters, the building skylight component distribution parameters, the building skylight morphological parameters, the building sunshade component distribution parameters, and the building sunshade component morphological parameters.

[0063] In the embodiment of the present invention, based on the Rhino&Grasshopper parametric modeling platform, by converting the building model into a mesh format model and automatically repairing and checking the geometric closure of the model, the core space of the large-space public building is quickly translated into a morphological description model in the design stage. Then, the morphological description model is given corresponding material parameter information and translated into a material classification description model, which solves the problem that carbon emission accounting cannot be carried out in the early stage of the design of large-space public buildings and provides a calculation data basis for subsequent carbon emission accounting.

[0064] Exemplarily, in this embodiment, the morphological parameters are imported into the Rhino&Grasshopper parametric modeling platform, and through the self-developed performance-based design description model generation software, each component of the large-space public building is output, including the activity site, seats, roof, and skylight. The software performs the following dispersion operations according to the input morphological parameters to ensure that the generated large-space public building description model can support subsequent simulation analysis: 1) Generate a corresponding three-dimensional surface model of the large-space public building according to the parameters; 2) Since the surface model cannot be used for simulation analysis, the surface is converted into a corresponding mesh surface model according to a preset conversion algorithm, and the corresponding conversion accuracy is selected according to the simulation accuracy; 3) Check the geometric closure of the model, and process the large-space public building model into a closed model according to the preset processing algorithm according to the simulation accuracy requirements to ensure the smooth progress of subsequent simulation analysis. Then, according to the specific examples of the large-space public building involved, input the geometric information (thickness information) and material type information of each component output by the above parametric modeling platform, and convert the large-space public building morphological description model into a material description model. Further, carbon emission factor information is given according to the current carbon neutral database, providing a calculation data basis for subsequent carbon emission accounting.

[0065] In an alternative embodiment, the carbon emissions in the whole life cycle of the large-space public building include building material carbon emissions, construction carbon emissions, operation carbon emissions, and demolition carbon emissions;

[0066] The building material carbon emissions are the carbon emissions in the production stage of the building materials, and are calculated by the following first formula:

[0067] CEP = ∑(MW P,i × EF P,i ) + ∑(TD raw,i × MW raw,i × EF raw,i )

[0068] where CE P is the carbon emission in the building materials production (including raw material transportation) stage; MW P,i is the weight of the i-th production material; EF P,i is the carbon emission factor for producing the i-th material, in kg of CO2e per kg of material; TD raw,i is the transportation distance of the i-th raw material to the production site; MW raw,i is the weight of the i-th raw material being transported; EF raw,i is the transportation emission factor per unit weight per km for the i-th raw material, in kg of CO2e per ton per km;

[0069] The construction carbon emission is the carbon emission in the building construction stage (Construction), and is calculated by the following second formula:

[0070] CE C = ∑(EC con,i × EF con,i ) + OSE + ∑(TD mat,i × MW mat,i × EF mat,i )

[0071] where CE C is the carbon emission in the building construction stage; EC con,i is the energy consumption of the i-th construction equipment; EF con,i is the carbon emission factor for the equipment energy consumption type, in kg of CO2e per unit of energy; OSE is the carbon emission not directly related to the equipment energy consumption and other construction activities during on-site operation; TD mat,i is the transportation distance of the i-th material to the construction site; MW mat,i is the weight of the i-th material being transported; EF mat,i is the transportation emission factor per unit weight per km for the i-th material, in kg of CO2e per ton per km;

[0072] The operation carbon emission is the carbon emission in the building operation stage (Operation), and is calculated by the following third formula:

[0073] CE O = ∑(EC op,i × EF op,i )

[0074] Among them, CE O is the carbon emissions during the operation stage; EC op,i is the annual energy consumption of building operation, including all energy uses; EF op,i is the carbon emission factor for each type of energy consumption, in kilograms of CO2e per unit of energy;

[0075] The demolition carbon emissions are the carbon emissions during the building demolition stage (Destroy), and are calculated by the following fourth formula:

[0076] CE D = ∑(EC dem,i × EF E,i ) + WP + ∑(TD waste,i × WW i × EF T,i )

[0077] Among them, CE D is the carbon emissions during the building demolition (including waste transportation) stage; EC dem,i is the energy consumption of the demolition equipment; EF E,i is the carbon emission factor of the energy used by the demolition equipment, in kilograms of CO2e per unit of energy; WP is the carbon emissions generated when dealing with demolition waste; TD waste,i is the transportation distance of the i-th type of waste from the demolition site to the disposal or recycling site; WW i is the weight of the i-th type of waste transported; EF T,i is the carbon emission factor of waste transportation, in kilograms of CO2e per ton per kilometer.

[0078] In the embodiment of the present invention, according to the material parameter data of the substance description model and the building operation energy consumption information obtained from the form description model, combined with the carbon emission factor information given by the current carbon neutral database, the carbon emissions of each item in the whole life cycle of the large-space public building are comprehensively accounted, including building material carbon emissions, construction carbon emissions, operation carbon emissions and demolition carbon emissions, making up for the accounting errors caused by most current carbon emission tools only accounting for single carbon emissions.

[0079] In an optional embodiment, in S4, according to the annual carbon emission data of each design scheme, calculate the weights of each life cycle stage of each design scheme year by year, and obtain a weighted matrix, including:

[0080] S401, according to the annual carbon emission data of each design scheme, construct a carbon emission matrix of the whole life cycle carbon emissions of each design scheme changing with time;

[0081] S402, based on the carbon emission matrix, calculate the weights of each life cycle stage of each design scheme year by year according to the objective standard weighting method;

[0082] S403. Weight the carbon emission matrix according to the weights to obtain a weighted matrix.

[0083] In an alternative embodiment, the objective standard weighting method is the entropy weight method. Then, based on the carbon emission matrix, calculating the weights of each design scheme in each life cycle stage year by year according to the objective standard weighting method includes:

[0084] Normalize the carbon emission matrix to obtain a decision matrix;

[0085] Calculate the entropy value of each design scheme in each life cycle stage each year according to the decision matrix;

[0086] Calculate the diversification degree of each design scheme in each life cycle stage each year according to the entropy value;

[0087] Calculate the weights of each design scheme in each life cycle stage each year according to the diversification degree.

[0088] It can be understood that in the embodiments of the present invention, the objective standard weighting method takes the entropy weight method as an example, but the protection scope should not be limited to this objective standard weighting method, and should include a series of methods with the same function.

[0089] In the embodiments of the present invention, the entropy weight method takes into account the diversification degree of data, reduces subjective deviation, and objectively and scientifically weights the carbon emission data during the life cycle of large-space public buildings through the entropy weight method, making the subsequent evaluation results more accurate and reliable.

[0090] In an alternative embodiment, S5. Rank the design schemes according to the weighted matrix, and select the optimal design scheme according to the ranking results, including:

[0091] S501. Based on the weighted matrix, rank all the design schemes according to the multi-criteria decision-making method to obtain a ranking curve of the carbon emissions of all the design schemes changing with time over the whole life cycle;

[0092] S502. Select the optimal design scheme according to the ranking curve.

[0093] In the embodiments of the present invention, by comprehensively integrating the carbon emission data during the whole life cycle of the building, using scientific weighted analysis and multi-criteria decision-making methods, dynamically evaluating and comparing the carbon emission performance of different design schemes changing with time, and through fitting with the dual-carbon goal, the design scheme with the optimal carbon emission performance is selected, which not only realizes the low-carbon goal of building design and operation, but also provides detailed and rich decision-making information for architects, helping the sustainable development of the building industry.

[0094] In an alternative embodiment, based on the weighted matrix, all the design schemes are sorted according to the multi-criteria decision-making method to obtain a sorting curve of the life-cycle carbon emissions of all the design schemes changing with time, including:

[0095] According to the weighted matrix, calculate the positive ideal solution and the negative ideal solution of the large-space public building year by year throughout its life cycle;

[0096] For each of the design schemes, calculate the distances between the weighted matrix and the positive ideal solution and the negative ideal solution every year;

[0097] According to the distances, calculate the relative closeness between the weighted matrix and the positive ideal solution every year to obtain a closeness matrix;

[0098] Sort the relative closeness in the closeness matrix year by year to obtain a sorting curve of the life-cycle carbon emissions of all the design schemes changing with time.

[0099] It can be understood that in the embodiment of the present invention, the objective multi-criteria decision-making method takes the TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method as an example, but the protection scope should not be limited to this objective multi-criteria decision-making method, and should include a series of methods with the same function.

[0100] Please refer to Figure 2 , Figure 2 which is a schematic diagram of the sorting curve in a building carbon emission decision-making method based on the life cycle provided by the embodiment of the present invention. In the embodiment of the present invention, the weighted carbon emission data is comprehensively evaluated through the multi-criteria decision-making method, and the carbon emission performance of each design scheme is calculated year by year to form a year-by-year sorting curve within the life cycle, comprehensively and objectively analyzing the carbon emissions of the building throughout its life cycle, not only improving the feasibility and practicality of the decision-making algorithm in the field of low-carbon building design, but also providing strong decision-making support for design and operation, and helping to achieve the carbon emission optimization and sustainable development goals in the building field.

[0101] In an alternative embodiment, the carbon emission matrix is CE t =[ce nj(t) c×d ;

[0102] wherein, ce nj(t) ​The carbon emissions at the t-th time unit in the n-th life cycle of design solution j; ce represents the carbon emissions in different life cycles, where n = {P (building material production), C (building construction), O (building operation), D (building demolition)}; d is the number of design solutions (j = 1, 2,..., d);

[0103] The decision matrix is P t =[p nj(t) c×d ;

[0104] Among them, is the value of ce nj(t) after normalization;

[0105] The entropy value is

[0106] The diversification degree is d n(t) =1 - E n(t) ;

[0107] Among them, E n(t) is the entropy value of each life cycle stage;

[0108] The weight is

[0109] Among them, d n(t) is the diversification degree of each life cycle stage;

[0110] The weighted matrix is X t =[x nj(t) c×d ;

[0111] Among them, x nj(t) =w n(t) ·ce nj(t) , which is the value of ce nj(t) after weighting, and w n(t) is the weight.

[0112] In an alternative embodiment, the positive ideal solution and negative ideal solution of each life cycle stage are calculated by the following fifth formula:

[0113]

[0114] Among them, and are the positive ideal solution and negative ideal solution of each life cycle stage at the t-th time unit respectively; x nj(t) is the value of ce nj(t) after weighting, and ce nj(t) ​​is the carbon emission of the nth life cycle of design scheme j at the tth time unit; the standard values of the positive ideal solution and the negative ideal solution depend on whether the carbon emission n of the whole life cycle is in the positive impact set I or the negative impact set J;

[0115] For each design scheme, when calculating the distances from the weighted matrix of each year to the positive ideal solution and the negative ideal solution, the Euclidean distance method can be used, and the distance is calculated by the following sixth formula:

[0116]

[0117] where is the Euclidean distance from the positive ideal solution at the tth time unit ; is the Euclidean distance from the negative ideal solution at the tth time unit ;

[0118] The proximity matrix is R t =[r j(t) d×1 ;

[0119] where is the relative proximity degree from the positive ideal solution at the tth time unit; is the Euclidean distance from the positive ideal solution at the tth time unit, is the Euclidean distance from the negative ideal solution at the tth time unit.

[0120] Exemplarily, according to the carbon emission data of each design scheme year by year, calculate the weights of each life cycle stage of each design scheme year by year, and obtain a weighted matrix; sort the design schemes according to the weighted matrix, and select the optimal design scheme according to the sorting result. Specifically, it can be realized through the following steps:

[0121] Step 1. Obtain a two-dimensional matrix according to the carbon emission data and the design scheme:

[0122] The input matrix of the multi-criteria decision-making method based on the whole life cycle is a two-dimensional matrix CE = [ce ij c×d , and the specific formula is as follows:

[0123]

[0124] where ce nj is the carbon emission of the nth life cycle of design scheme j; ce is the carbon emission of different life cycles, n = {P (building material production), C (building construction), O (building operation), D (building demolition)}; d is the number of design schemes (j = 1, 2,..., d).​​

[0125] Step 2: According to the two-dimensional matrix, construct a carbon emission matrix showing the change of the carbon emissions of each design solution over the full life cycle with the completion time:

[0126] Assume that the carbon emissions in the 0th year after the completion of the large-space public building include carbon emissions from building materials, construction, and demolition, and the operating carbon emissions increase year by year after completion. Construct a new carbon emission matrix CE t =[ce nj(t) c×d , where ce nj(t) is the carbon emission of the nth life cycle of design solution j at the tth time unit; ce is the carbon emissions of different life cycles, n = {P (building material production), C (building construction), O (building operation), D (building demolition)}; d is the number of design solutions (j = 1, 2,..., d);

[0127] In the 0th year after the completion of the large-space public building: CE0 = ce nj(0) , where ce nj(0) represents the carbon emissions from building materials, construction, and demolition when the large-space public building is completed.

[0128] In the tth year after the completion of the large-space public building: CE t = ce nj(0) + t × ce nj(1) , where ce nj(1) represents the annual operating carbon emissions after the completion of the large-space public building.

[0129] Step 3: Taking each year after the completion of the large-space public building as a time unit, normalize the carbon emission matrix CE t to obtain a decision matrix P t =[p nj(t) c×d , and the specific formula is as follows:

[0130]

[0131] where p nj(t) is the value after normalizing ce nj(t) , ce nj(t) is the carbon emission of the nth life cycle of design solution j at the tth time unit; ce is the carbon emissions of different life cycles, n = {P (building material production), C (building construction), O (building operation), D (building demolition)}; d is the number of design solutions (j = 1, 2,..., d).

[0132] Step 4: According to the decision matrix P t ​​, calculate the entropy value \(E\) of the life cycle of each of the said time units n(t) , and the specific formula is as follows:

[0133]

[0134] where \(p\) nj(t) is the value after normalization of \(ce\) nj(t) , and \(ce\) nj(t) is the carbon emission of the \(n\)th life cycle of design scheme \(j\) at the \(t\)th time unit; \(n = \{P(\text{Building Material Production}), C(\text{Building Construction}), O(\text{Building Operation}), D(\text{Building Demolition})\}\); \(d\) is the number of design schemes (\(j = 1, 2, \cdots, d\)).

[0135] Step Five: According to the entropy value \(E\) n(t) , calculate the diversification degree \(d\) of the life cycle of each of the said time units n(t) , and the specific formula is as follows:

[0136] \(d\) n(t) = 1 - \(E\) n(t)

[0137] where \(E\) n(t) is the entropy value of each life cycle stage; \(n = \{P(\text{Building Material Production}), C(\text{Building Construction}), O(\text{Building Operation}), D(\text{Building Demolition})\}\).

[0138] Step Six: According to the diversification degree \(d\) n(t) , calculate the entropy weight \(w\) of the life cycle of each of the said time units n(t) , and the specific formula is as follows:

[0139]

[0140] where \(d\) n(t) is the diversification degree of each life cycle stage; \(n = \{P(\text{Building Material Production}), C(\text{Building Construction}), O(\text{Building Operation}), D(\text{Building Demolition})\}\).

[0141] Step Seven: According to the entropy weight \(w\) n(t) , weight the carbon emission matrix to obtain the weighted matrix \(X\) t , and the specific formula is as follows:

[0142] \(X\) t = [x nj(t) c×d

[0143] where \(x\) nj(t) = \(w\) n(t) · \(ce\) nj(t) , is the value after weighting of \(ce\) nj(t) , and \(ce\) nj(t) ​is the carbon emission of the nth life cycle of design solution j at the tth time unit, w n(t) is the entropy weight; n = {P(building material production), C(construction), O(building operation), D(building demolition)}; d is the number of design solutions (j = 1, 2, …, d).

[0144] Step Eight, according to the weighted matrix X t , calculate the positive ideal solution of each year during the life cycle of the large - space public building through the fifth formula and the negative ideal solution The specific form of the fifth formula is as follows:

[0145]

[0146] where and are the positive ideal solution and the negative ideal solution of each life - cycle stage at the tth time unit respectively; x nj(t) is the value of ce nj(t) after weighting, ce nj(t) is the carbon emission of the nth life cycle of design solution j at the tth time unit; the standard values of the positive ideal solution and the negative ideal solution depend on whether the carbon emission of the whole life cycle n is in the positive - impact set I or the negative - impact set J.

[0147] Step Nine, by means of the distance - measurement method, taking the Euclidean - distance method as an example, calculate the distances between each of the design solutions and each of the time units and the positive ideal solution and the negative ideal solution respectively through the sixth formula. The specific form of the sixth formula is as follows:

[0148]

[0149]

[0150] where is the Euclidean distance between the tth time unit and the positive ideal solution , is the Euclidean distance between the tth time unit and the negative ideal solution ; x nj(t) is the value of ce nj(t) after weighting, ce nj(t) is the carbon emission of the nth life cycle of design solution j at the tth time unit; ce is the carbon emissions of different life cycles, n = {P(building material production), C(construction), O(building operation), D(building demolition)}; d is the number of design solutions (j = 1, 2, …, d).

[0151] Step Ten: Calculate the relative closeness degree of each of the design schemes and each time unit to the positive ideal solution according to the distance, and obtain the closeness matrix R t =[r j(t) d×1 Specifically, the formula is as follows:

[0152]

[0153] where r j(t) is the relative closeness degree of the t-th time unit to the positive ideal solution; is the Euclidean distance of the t-th time unit to the positive ideal solution, is the Euclidean distance of the t-th time unit to the negative ideal solution; d is the number of design schemes (j = 1, 2,..., d).

[0154] Step Eleven: Sort the vector values r t in the closeness matrix R j(t) year by year according to the time unit, obtain the scheme sorting curve varying with time, and until the end of the life cycle of the large-space public building, obtain the annual sorting curve of the life-cycle carbon emissions of each design scheme varying with the completion time.

[0155] Step Twelve: Thus, the weights and TOPSIS sorting at different time points after the scheme is completed are obtained. Fit the annual sorting curve with the dual-carbon target curve, obtain the decision-making information on whether the design scheme can achieve the dual-carbon target and conduct an evaluation, analyze the carbon reduction effects of different design schemes at different time points, and obtain the design scheme with the optimal carbon emission performance of the large-space public building.

[0156] Correspondingly, the present invention also provides a building carbon emission decision-making device based on the whole life cycle, which can implement all processes of the building carbon emission decision-making method based on the whole life cycle in the above embodiments.

[0157] Please refer to Figure 3 Figure 3 which is a schematic structural diagram of a preferred embodiment of a building carbon emission decision-making device based on the whole life cycle provided by the present invention. The building carbon emission decision-making device based on the whole life cycle includes:

[0158] A data acquisition module 301, which is used to acquire multiple design schemes of a large-space public building, and the design schemes include the morphological parameters of the large-space public building;

[0159] ​​The model translation module 302 is used to perform parametric modeling and model translation on the form parameters of each of the design schemes to obtain the form description model and the material description model of the large-space public building; wherein, the form description model is used to interface with the performance simulation engine to calculate the building operation energy consumption; the material description model is used to provide the material data and carbon emission factors for calculating carbon emissions;

[0160] The carbon emission calculation module 303 is used to calculate the annual carbon emission data of each of the design schemes in the whole life cycle of the large-space public building according to the energy consumption data of the form description model and the material data and carbon emission factors of the material description model; wherein, the whole life cycle of the large-space public building includes the building material production stage, the building construction stage, the building operation stage, and the building demolition stage;

[0161] The weight calculation module 304 is used to calculate the weights of each of the design schemes in each life cycle stage year by year according to the annual carbon emission data of each of the design schemes, and obtain a weighted matrix;

[0162] The scheme decision-making module 305 is used to sort the design schemes according to the weighted matrix, and select the optimal design scheme according to the sorting result.

[0163] Preferably, the model translation module 302 is specifically used for:

[0164] Based on a parametric modeling platform, generate a three-dimensional surface model of the large-space public building corresponding to the form parameters; wherein, the form parameters include spatial form parameters, structural form parameters, and component form parameters;

[0165] Convert the three-dimensional surface model into a corresponding mesh surface model according to a preset conversion algorithm, and select a corresponding conversion accuracy according to the simulation accuracy;

[0166] Check the geometric closure of the mesh surface model, and process the mesh surface model into a closed form description model that can be docked with the performance simulation engine according to a preset processing algorithm according to the simulation accuracy, and obtain each component of the large-space public building and the corresponding geometric information;

[0167] Convert the form description model into a material description model that can be used for carbon emission assessment according to the material information corresponding to each component and the geometric information.

[0168] Preferably, the weight calculation module 304 is specifically used for:

[0169] Construct a carbon emission matrix in which the carbon emissions in the whole life cycle of each design scheme change with time according to the annual carbon emission data of each design scheme;

[0170] Based on the carbon emission matrix, calculate the weight of each design scheme in each life cycle stage year by year according to the objective standard weighting method;

[0171] Weight the carbon emission matrix according to the weight to obtain a weighted matrix.

[0172] Preferably, the objective standard weighting method is the entropy weight method. Then, based on the carbon emission matrix, calculating the weight of each design scheme in each life cycle stage year by year according to the objective standard weighting method includes:

[0173] Normalize the carbon emission matrix to obtain a decision matrix;

[0174] According to the decision matrix, calculate the entropy value of each design scheme in each life cycle stage each year;

[0175] According to the entropy value, calculate the diversification degree of each design scheme in each life cycle stage each year;

[0176] According to the diversification degree, calculate the weight of each design scheme in each life cycle stage each year.

[0177] Preferably, the scheme decision module 305 is specifically used for:

[0178] Based on the weighted matrix, sort all the design schemes according to the multi-criteria decision-making method to obtain a sorting curve of the full life cycle carbon emissions of all the design schemes changing with time;

[0179] Select the optimal design scheme according to the sorting curve.

[0180] Preferably, the sorting all the design schemes according to the multi-criteria decision-making method based on the weighted matrix to obtain a sorting curve of the full life cycle carbon emissions of all the design schemes changing with time includes:

[0181] According to the weighted matrix, calculate the positive ideal solution and the negative ideal solution of the large-space public building's full life cycle year by year;

[0182] For each design scheme, calculate the distance between the weighted matrix and the positive ideal solution and the negative ideal solution each year;

[0183] According to the distance, calculate the relative closeness degree of the weighted matrix to the positive ideal solution each year to obtain a closeness degree matrix;

[0184] Sort the relative closeness degrees in the closeness degree matrix year by year to obtain a sorting curve of the full life cycle carbon emissions of all the design schemes changing with time.

[0185] In specific implementation, the working principle, control process, and achieved technical effects of the building carbon emission decision-making device based on the full life cycle provided in the embodiments of the present invention are correspondingly the same as those of the building carbon emission decision-making method based on the full life cycle in the above embodiments, and will not be elaborated herein.

[0186] Please refer to Figure 4 , Figure 4 , which is a schematic structural diagram of a preferred embodiment of a terminal device provided by the present invention. The terminal device includes a processor 401, a memory 402, and a computer program stored in the memory 402 and configured to be executed by the processor 401. When the processor 401 executes the computer program, the building carbon emission decision-making method according to any one of the above embodiments is implemented.

[0187] Preferably, the computer program can be divided into one or more modules / units (such as computer program 1, computer program 2,...). The one or more modules / units are stored in the memory 402 and executed by the processor 401 to complete the present invention. The one or more modules / units can be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program in the terminal device.

[0188] The processor 401 can be a central processing unit (CPU), or can also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor, or the processor 401 can also be any conventional processor. The processor 401 is the control center of the terminal device, and connects various parts of the terminal device through various interfaces and lines.

[0189] The memory 402 mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs required for at least one function, etc., and the data storage area can store relevant data, etc. In addition, the memory 402 can be a high-speed random access memory, or a non-volatile memory, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc., or the memory 402 can also be other volatile solid-state storage devices.

[0190] It should be noted that the above terminal device may include, but is not limited to, a processor and a memory. Those skilled in the art can understand that Figure 4 the structural schematic diagram is only an example of the above terminal device, and does not constitute a limitation on the above terminal device. It may include more or fewer components than shown, or combine some components, or different components.

[0191] The embodiment of the present invention also provides a computer-readable storage medium. The computer-readable storage medium includes a stored computer program. Among them, when the computer program runs, it controls the device where the computer-readable storage medium is located to execute the building carbon emission decision-making method based on the whole life cycle described in any one of the above embodiments.

[0192] The embodiment of the present invention also provides a computer program product. The computer program product includes a computer program or computer instructions. When the computer program or the computer instructions are executed by a processor, they implement the building carbon emission decision-making method based on the whole life cycle described in any one of the above embodiments.

[0193] An embodiment of the present invention provides a building carbon emission decision-making method, device, equipment, medium and product based on the whole life cycle. By obtaining multiple design schemes of a large-space public building, the design schemes include the morphological parameters of the large-space public building; parametric modeling and model translation are performed on the morphological parameters of each design scheme to obtain a morphological description model and a material description model of the large-space public building; wherein, the morphological description model is used to interface with a performance simulation engine to calculate the building operation energy consumption; the material description model is used to provide material data and carbon emission factors for calculating carbon emissions; according to the energy consumption data of the morphological description model and the material data and carbon emission factors of the material description model, calculate the annual carbon emission data of each design scheme of the large-space public building in the whole life cycle; wherein, the whole life cycle of the large-space public building includes the building material production stage, the building construction stage, the building operation stage and the building demolition stage; according to the annual carbon emission data of each design scheme, calculate the weights of each life cycle stage of each design scheme year by year, and obtain a weighted matrix; sort the design schemes according to the weighted matrix, and select the optimal design scheme according to the sorting result. The embodiment of the present invention can calculate carbon emissions and evaluate and decide the optimal carbon emission performance scheme in the early stage of building design, which helps to build energy-saving and carbon-reducing buildings.

[0194] It should be noted that the system embodiments described above are only illustrative. The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, in the attached drawings of the system embodiment provided by the present invention, the connection relationship between the modules indicates that they have a communication connection, which can be specifically implemented as one or more communication buses or signal lines. Those of ordinary skill in the art can understand and implement without creative work.

[0195] The above is the preferred embodiment of the present invention. It should be pointed out that for those of ordinary skill in the art of this technology, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements are also regarded as the protection scope of the present invention.

Claims

1. A building carbon emission decision-making method based on the entire life cycle, characterized in that: include: Acquire multiple design schemes of a large-space public building, wherein the design schemes include morphological parameters of the large-space public building; Performing parametric modeling and model translation on the morphological parameters of each of the design schemes to obtain a morphological description model and a material description model of the large-space public building; wherein the morphological description model is used to connect to a performance simulation engine to calculate the energy consumption of building operation; and the material description model is used to provide material data and carbon emission factors for calculating carbon emissions; According to the energy consumption data of the morphological description model and the material data and carbon emission factor of the material description model, the annual carbon emission data of each design scheme in the whole life cycle of the large-space public building is calculated; wherein the whole life cycle of the large-space public building includes the building materials production stage, the building construction stage, the building operation stage and the building demolition stage; According to the annual carbon emission data of each design scheme, the weight of each life cycle stage of each design scheme is calculated year by year, and a weighted matrix is ​​obtained; The design solutions are sorted according to the weighted matrix, and the optimal design solution is selected according to the sorting result.

2. The building carbon emission decision-making method based on the whole life cycle as claimed in claim 1 is characterized in that: The parametric modeling and model translation of the morphological parameters of each design scheme to obtain a morphological description model and a material description model includes: Based on the parametric modeling platform, a corresponding three-dimensional surface model of the large-space public building is generated according to the morphological parameters; wherein the morphological parameters include space morphological parameters, structural morphological parameters and component morphological parameters; The three-dimensional surface model is converted into a corresponding mesh surface model according to a preset conversion algorithm, and a corresponding conversion accuracy is selected according to the simulation accuracy; Performing a geometric closure check on the mesh surface model, and processing the mesh surface model into a closed morphological description model that can be connected to a performance simulation engine according to the simulation accuracy according to a preset processing algorithm, and obtaining various components of the large-space public building and corresponding geometric information; According to the material information corresponding to each component and the geometric information, the morphological description model is converted into the material description model that can be used for carbon emission assessment.

3. The building carbon emission decision-making method based on the whole life cycle as claimed in claim 2 is characterized in that: According to the carbon emission data of each design scheme year by year, the weight of each life cycle stage of each design scheme year by year is calculated, and a weighted matrix is ​​obtained, including: Based on the annual carbon emission data of each design scheme, a carbon emission matrix showing the changes of carbon emission over time during the entire life cycle of each design scheme is constructed; Based on the carbon emission matrix, calculate the weight of each design scheme at each life cycle stage year by year according to the objective standard weighting method; The carbon emission matrix is ​​weighted according to the weights to obtain a weighted matrix.

4. The building carbon emission decision-making method based on the whole life cycle as claimed in claim 3 is characterized in that: The objective standard weighting method is the entropy weight method. Based on the carbon emission matrix, the weight of each design scheme at each life cycle stage year by year is calculated according to the objective standard weighting method, including: Normalizing the carbon emission matrix to obtain a decision matrix; According to the decision matrix, the entropy value of each design scheme at each life cycle stage in each year is calculated; Calculate the degree of diversity of each design scheme at each life cycle stage each year according to the entropy value; According to the degree of diversification, the weight of each design solution in each life cycle stage in each year is calculated.

5. The building carbon emission decision-making method based on the whole life cycle as claimed in claim 4 is characterized in that: The step of sorting the design solutions according to the weighted matrix and selecting the best design solution according to the sorting result includes: Based on the weighted matrix, all the design schemes are ranked according to a multi-criteria decision-making method to obtain a ranking curve of carbon emissions over time over the entire life cycle of all the design schemes; According to the ranking curve, the optimal design solution is selected.

6. The building carbon emission decision-making method based on the whole life cycle as claimed in claim 5 is characterized in that: Based on the weighted matrix, all the design schemes are ranked according to a multi-criteria decision-making method to obtain a ranking curve of carbon emissions over time throughout the life cycle of all the design schemes, including: According to the weighted matrix, the positive ideal solution and the negative ideal solution of the large-space public building are calculated year by year over the entire life cycle; For each of the design solutions, calculating the distance between the weighted matrix and the positive ideal solution and the negative ideal solution in each year; According to the distance, the relative closeness between the weighted matrix and the positive ideal solution is calculated each year to obtain a closeness matrix; The relative closeness in the similarity matrix is ​​sorted year by year to obtain a sorting curve of the carbon emissions of all the design solutions over their entire life cycle over time.

7. A building carbon emission decision-making device based on the entire life cycle, characterized in that: include: A data acquisition module, used to acquire multiple design schemes of large-space public buildings, wherein the design schemes include morphological parameters of the large-space public buildings; A model translation module is used to perform parametric modeling and model translation on the morphological parameters of each of the design schemes to obtain a morphological description model and a material description model of the large-space public building; wherein the morphological description model is used to connect to a performance simulation engine to calculate the energy consumption of building operation; and the material description model is used to provide material data and carbon emission factors for calculating carbon emissions; A carbon emission calculation module, for calculating the annual carbon emission data of each design scheme over the entire life cycle of the large-space public building according to the energy consumption data of the morphological description model and the material data and carbon emission factor of the material description model; wherein the entire life cycle of the large-space public building includes the building materials production stage, the building construction stage, the building operation stage and the building demolition stage; A weight calculation module, used to calculate the weight of each life cycle stage of each design scheme year by year according to the carbon emission data of each design scheme year by year, and obtain a weighted matrix; The scheme decision module is used to sort the design schemes according to the weighted matrix and select the best design scheme according to the sorting result.

8. A terminal device, characterized in that: It comprises a processor and a memory, wherein a computer program is stored in the memory, and the computer program is configured to be executed by the processor, and when the processor executes the computer program, the building carbon emission decision-making method based on the whole life cycle as described in any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein when the device where the computer-readable storage medium is located executes the computer program, the building carbon emission decision-making method based on the entire life cycle as described in any one of claims 1 to 6 is implemented.

10. A computer program product, characterized in that The computer program product includes a computer program or computer instructions, and when the computer program or the computer instructions are executed by a processor, the building carbon emission decision-making method based on the whole life cycle as described in any one of claims 1 to 6 is implemented.

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