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

Abstract

The application discloses a building carbon emission decision-making method and device based on a whole life cycle, equipment, a medium and a product, and the method comprises the following steps: acquiring a plurality of design schemes of a large-space public building and corresponding morphological parameters; performing parameterized modeling and model translation on the morphological parameters to obtain a morphological description model and a material description model; calculating the carbon emission data of each design scheme of the large-space public building year by year in the whole life cycle according to the energy consumption data of the morphological description model and the material data and the carbon emission factor of the material description model; calculating 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 obtaining a weighted matrix; and sorting the design schemes according to the weighted matrix, and selecting the optimal design scheme according to the sorting result. By adopting the embodiment of the application, carbon emission calculation can be performed in the early stage of building design, and the optimal scheme in terms of carbon emission performance can be evaluated and decided, which is helpful for building energy-saving and carbon-reducing buildings.

Description

TECHNICAL FIELD

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

[0002] Large-space public buildings include sports buildings, exhibition centers, station buildings and airport terminals, and have the characteristics of high energy consumption, high construction investment and large carbon emissions. At the same time, large-space public buildings have complex forms and energy consumption characteristics different from office buildings and residential buildings. Unlike simple single building carbon emission calculation, the complexity of the scale and structure of large-space public buildings greatly increases the difficulty of carbon emission calculation, making it difficult to calculate carbon emissions at the early design stage and evaluate the optimal carbon emission performance of the decision-making scheme, resulting in poor energy saving and carbon reduction performance of the built large-space public buildings. SUMMARY

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

[0004] To achieve the above-mentioned purpose, the embodiment of the present application provides a building carbon emission decision-making method based on a whole life cycle, comprising:

[0005] Obtaining a plurality of design schemes of a large-space public building, wherein the design schemes include morphological parameters of the large-space public building;

[0006] Parameterizing 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 building operation energy consumption; and 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, carbon emission data of the large-space public building for each design scheme is calculated year by year in the whole life cycle; 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;

[0008] According to the carbon emission data of each design scheme year by year, the weight of each life cycle stage of each design scheme is calculated year by year, and a weighted matrix is obtained.

[0009] According to the weight matrix, the design schemes are ranked, and an optimal design scheme is selected according to the ranking result.

[0010] As an improvement of the above scheme, the parameterized modeling and model translation of the form parameters of each design scheme obtain a form description model and a material description model, including:

[0011] Based on a parameterized modeling platform, a three-dimensional curved surface model of the large-space public building corresponding to the form parameters is generated; wherein the form parameters include spatial form parameters, structural form parameters and component form parameters;

[0012] According to a preset conversion algorithm, the three-dimensional curved surface model is converted into a corresponding mesh surface model, and a corresponding conversion accuracy is selected according to simulation accuracy;

[0013] The mesh surface model is subjected to a geometric closedness check, and the mesh surface model is processed into a closed form description model that can be docked with a performance simulation engine according to a preset processing algorithm and a simulation accuracy, and each component of the large-space public building and corresponding geometric information are obtained;

[0014] According to the material information corresponding to each component and the geometric information, the form description model is converted into a material description model that can be used for carbon emission evaluation.

[0015] As an improvement of the above scheme, the weight of each life cycle stage of each design scheme is calculated according to the annual carbon emission data of each design scheme, and a weight matrix is obtained, including:

[0016] According to the annual carbon emission data of each design scheme, a carbon emission matrix of the whole life cycle carbon emission of each design scheme changing with time is constructed;

[0017] Based on the carbon emission matrix, the weight of each life cycle stage of each design scheme is calculated according to an objective standard weighting method;

[0018] According to the weight, the carbon emission matrix is weighted to obtain a weight matrix.

[0019] As an improvement of the above scheme, the objective standard weighting method is an entropy weight method, and the weight of each life cycle stage of each design scheme is calculated according to an objective standard weighting method based on the carbon emission matrix, including:

[0020] The carbon emission matrix is subjected to normalization processing to obtain a decision matrix;

[0021] According to the decision matrix, entropy values of each design scheme in each life cycle stage per year are calculated;

[0022] According to the entropy values, diversification degrees of each design scheme in each life cycle stage per year are calculated;

[0023] According to the diversification degrees, weights of each design scheme in each life cycle stage per year are calculated.

[0024] As an improvement of the above scheme, the sorting of the design schemes according to the weighted matrix, and the selection of the optimal design scheme according to the sorting result, comprises:

[0025] Based on the weighted matrix, all the design schemes are sorted according to the multi-criteria decision method, and a sorting curve of the carbon emission of all the design schemes in the whole life cycle changing with time is obtained.

[0026] According to the sorting curve, the optimal design scheme is selected.

[0027] As an improvement of the above scheme, the sorting of all the design schemes according to the multi-criteria decision method based on the weighted matrix, and the obtaining of the sorting curve of the carbon emission of all the design schemes in the whole life cycle changing with time, comprises:

[0028] According to the weighted matrix, the positive ideal solution and the negative ideal solution of the large-space public building in the whole life cycle per year are calculated.

[0029] For each design scheme, the distance between the weighted matrix and the positive ideal solution and the negative ideal solution per year is calculated.

[0030] According to the distance, the relative closeness between the weighted matrix and the positive ideal solution per year is calculated, and a closeness matrix is obtained.

[0031] The relative closeness in the closeness matrix per year is sorted, and a sorting curve of the carbon emission of all the design schemes in the whole life cycle changing with time is obtained.

[0032] The embodiment of the application further provides a building carbon emission decision device based on the whole life cycle, comprising:

[0033] A data acquisition module is used to acquire a plurality of design schemes of a large-space public building, and the design schemes comprise morphological parameters of the large-space public building.

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

[0035] a carbon emission calculation module configured to calculate annual carbon emission data of each design scheme of the large-space public building in a full life cycle according to energy consumption data of the form description model and material data and carbon emission factors of the material description model; wherein the full 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 configured to calculate weights of each life cycle stage of each design scheme in each year according to the annual carbon emission data of each design scheme, and to obtain a weight matrix;

[0037] a scheme decision module configured to sort the design schemes according to the weight matrix, and to select an optimal design scheme according to a sorting result.

[0038] The embodiment of the present application also provides a terminal device, which comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor implements the building carbon emission decision method based on a full life cycle when executing the computer program.

[0039] The embodiment of the present application also provides a computer readable storage medium, which comprises a stored computer program, wherein the computer readable storage medium controls a device where the computer readable storage medium is located to execute the building carbon emission decision method based on a full life cycle when the computer program runs.

[0040] The embodiment of the present application also provides a computer program product, which comprises a computer program or computer instructions, and the computer program or the computer instructions implement the building carbon emission decision method based on a full life cycle when executed by a processor.

[0041] The beneficial effects of the building carbon emission decision-making method, device, equipment, medium and product based on the whole life cycle provided by the embodiment of the present application are that: by obtaining a plurality of design schemes of a large-space public building, the design schemes include form parameters of the large-space public building; the form parameters of each design scheme are parameterized modeling and model translation to obtain a form description model and a material description model of the large-space public building; wherein the form description model is used to connect a performance simulation engine to calculate 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 form description model and the material data and carbon emission factors of the material description model, the carbon emission data of the large-space public building whole life cycle of each design scheme is calculated year by year; 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; according to the carbon emission data of each design scheme year by year, the weight of each life cycle stage of each design scheme is calculated year by year, and a weighted matrix is obtained; the design schemes are sorted according to the weighted matrix, and the optimal design scheme is selected according to the sorting result. The embodiment of the present application can calculate carbon emissions and evaluate the optimal carbon emission performance decision-making scheme in the early stage of building design, which helps to build energy-saving and carbon-reducing buildings. BRIEF DESCRIPTION OF DRAWINGS

[0042] Figure 1 is a flow diagram of a building carbon emission decision-making method based on the whole life cycle provided by the embodiment of the present application;

[0043] Figure 2 is a sorting curve diagram of a building carbon emission decision-making method based on the whole life cycle provided by the embodiment of the present application;

[0044] Figure 3 is a structure diagram of a building carbon emission decision-making device based on the whole life cycle provided by the embodiment of the present application;

[0045] Figure 4 is a structure diagram of a preferred embodiment of a terminal device provided by the present application. DETAILED DESCRIPTION

[0046] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0047] The existing technology for calculating the carbon emissions of buildings is mostly fixed in the life cycle time, and lacks a carbon emission curve that changes over time within the life cycle, which cannot be compared with the building double carbon target curve, and there is no method of applying multi-criteria decision-making technology and multi-criteria decision-making technology combined with time sequence changes to carbon emission assessment. The present application not only extends the traditional fixed life cycle carbon emission accounting, but also innovatively introduces a time-sequenced dynamic decision analysis method. By decomposing the operation carbon emission data of the building after construction according to each year, and combining with the carbon emission data of each stage to construct a two-dimensional matrix, and then using the entropy weight method for normalization weighting, the present application realizes dynamic evaluation of the carbon emission trend of each design scheme over time. Finally, by fitting with the double carbon target curve proposed by the state or region, the present application can timely feedback the adaptability of each design scheme in achieving the carbon peak and carbon neutralization target, thereby providing clear and scientific improvement suggestions for decision makers.

[0048] Please refer to Figure 1 , Figure 1 is a flowchart of a building carbon emission decision-making method based on a full life cycle provided by an embodiment of the present application. The building carbon emission decision-making method based on a full life cycle comprises:

[0049] S1, obtaining a plurality of design schemes of a large space public building, the design schemes comprising morphological parameters of the large space public building;

[0050] S2, parameterizing 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 building operation energy consumption; and the material description model is used to provide material data and carbon emission factors for calculating carbon emissions;

[0051] S3, 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 full life cycle; wherein the full life cycle of the large space public building comprises a building material production stage, a building construction stage, a building operation stage and a building demolition stage;

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

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

[0054] It can be understood that, different from the carbon emission evaluation after the building is completed, the present application is based on the building design process stage, promotes early design iteration through early carbon emission evaluation, and realizes energy saving and carbon reduction of the building.

[0055] In the embodiment of the present application, based on the parametric modeling platform, the core space of the large space public building is translated into a morphological description model and a material classification description model in the design stage; according to the material parameter data of the material description model and the building operation energy consumption information obtained from the morphological description model, combined with the carbon emission factor information, the total carbon emission of the large space public building in the whole life cycle is calculated; the multi-criteria decision tool is extended to the whole life cycle of the building, and the annual decision curve of the carbon emission of each design scheme with the completion time is obtained according to the annual carbon emission of the building in the whole life cycle to evaluate and optimize the scheme, and the design scheme with the optimal carbon emission performance of the large space public building is obtained, so that the carbon emission accounting and the design scheme with the optimal carbon emission performance can be evaluated and decided in the early stage of building design, which is helpful to build energy-saving and carbon-reducing buildings.

[0056] In an optional embodiment, the S2, the parametric modeling and model translation of the morphological parameters of each design scheme are performed to obtain a morphological description model and a material description model, including:

[0057] S201, based on a parametric modeling platform, a three-dimensional curved surface model of the large space public building corresponding to the morphological parameters is generated; wherein the morphological parameters include space morphological parameters, structure morphological parameters and component morphological parameters;

[0058] S202, the three-dimensional curved 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 simulation accuracy;

[0059] S203, the mesh surface model is subjected to geometric closedness checking, and the mesh surface model is processed into a closed morphological description model which can be connected with a performance simulation engine according to the simulation accuracy according to a preset processing algorithm, and each component of the large space public building and corresponding geometric information are obtained;

[0060] S204, the morphological description model is converted into a material description model which can be subjected to carbon emission evaluation according to the material information corresponding to each component and the geometric information.

[0061] It can be understood that the core space of the large space public building is often complex, mainly in the form of free curved surface, and most of the existing energy consumption calculation software cannot support the simulation analysis of free curved surface, so it is necessary to translate the core space of the large space public building into a description model which can be simulated and evaluated.

[0062] The form parameters include building ground geometry form parameters, building wall geometry form parameters, building roof form height, and building roof X-axis and Y-axis curve form parameters; the structure form parameters include building structure type, building structure axis distribution parameters, and building structure component size parameters; and the component parameters include building skylight area parameters, building skylight component distribution parameters, building skylight form parameters, building sunshade component distribution parameters, and building sunshade component form parameters.

[0063] In the embodiment of the present application, based on the Rhino&Grasshopper parameterized modeling platform, the building model is converted into a mesh format model, the model geometry closure is automatically repaired and checked, the core space of the large space public building in the design stage is quickly translated into a form description model, and then the form description model is assigned with corresponding material parameter information and translated into a material classification description model, thereby solving the problem that carbon emission accounting cannot be performed in the early stage of large space public building design, and providing calculation data basis for subsequent carbon emission accounting.

[0064] For example, the form parameters are imported into the Rhino&Grasshopper parameterized modeling platform, and the self-developed performance-based design description model generation software outputs each component of the large space public building, including an activity field, a seat, a roof, and a skylight. The software performs the following scattering operations according to the input form parameters to ensure that the generated large space public building description model can support subsequent simulation analysis: 1) generating a corresponding large space public building three-dimensional curved surface model according to the parameters; 2) converting the curved surface into a corresponding mesh surface model according to a preset conversion algorithm, and selecting a corresponding conversion accuracy according to the simulation accuracy; 3) performing a geometry closure check on the model, and processing the large space public building model into a closed model according to a preset processing algorithm according to the simulation accuracy requirement, to ensure the smooth progress of subsequent simulation analysis. Then, according to the specific examples of the large space public building involved, the geometry information (thickness information) and material type information of each component output by the above parameterized modeling platform are input, and the large space public building form description model is converted into a material description model. Further, carbon emission factor information is assigned according to the current carbon neutralization database, to provide calculation data basis for subsequent carbon emission accounting.

[0065] In an alternative embodiment, the carbon emission of the large space public building in the whole life cycle includes building material carbon emission, construction carbon emission, operation carbon emission, and demolition carbon emission.

[0066] The building material carbon emission is the carbon emission amount in the production stage (Production) of the building material, which is calculated by the following first formula:

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

[0068] wherein CE P is the carbon emission of the building material 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 of the i-th material, in units of kg 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 transported; EF raw,i is the emission coefficient of the i-th raw material per unit weight per kilometer of transportation, in units of kg CO2e per ton per kilometer;

[0069] The construction carbon emission is the carbon emission of the building construction stage (Construction), which 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] wherein CE C is the carbon emission of 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 of the energy consumption type of the equipment, in units of kg CO2e per unit of energy; OSE is the carbon emission amount that is not directly related to the energy consumption of the equipment and other construction activities during the 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 transported; EF mat,i is the emission coefficient of the i-th material per unit weight per kilometer of transportation, in units of kg CO2e per ton per kilometer;

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

[0073] CE O =∑(EC op,i ×EF op,i )

[0074] Wherein, CE O is the carbon emission of the operation stage; EC op,i is the annual energy consumption of the building operation, including all energy use; EF op,i is the carbon emission factor of each energy consumption, in CO2e kilogram per unit of energy;

[0075] The demolition carbon emission is the carbon emission of the building demolition stage (Destroy), which is 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] Wherein, CE D is the carbon emission of 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 CO2e kilogram per unit of energy; WP is the carbon emission generated when the demolition waste is treated; TD waste,i is the transportation distance of the i-th waste from the demolition site to the disposal or recycling site; WW i is the weight of the i-th waste transported; EF T,i is the carbon emission factor of the waste transportation, in CO2e kilogram per ton per kilometer.

[0078] In the embodiment of the present application, 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 current carbon neutralization database to give carbon emission factor information, the carbon emissions of each item in the whole life cycle of large space public buildings are comprehensively calculated, including building material carbon emission, construction carbon emission, operation carbon emission and demolition carbon emission, which makes up for the calculation error caused by the fact that most carbon emission tools only calculate single carbon emission.

[0079] In an alternative embodiment, S4, according to the carbon emission data of each design scheme year by year, calculates the weight of each life cycle stage of each design scheme year by year, and obtains a weighted matrix, including:

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

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

[0082] S403, weighting the carbon emission matrix according to the weight to obtain a weighted matrix.

[0083] In an optional embodiment, the objective standard weighting method is an entropy weight method, and the weight of each design scheme for each life cycle stage of each year is calculated based on the carbon emission matrix according to the objective standard weighting method, including:

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

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

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

[0087] calculating the weight of each design scheme for each life cycle stage of each year according to the diversification degree.

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

[0089] In the embodiment of the present application, the entropy weight method considers the diversification degree of data, reduces subjective bias, and objectively and scientifically weights the carbon emission data in the life cycle of large space public buildings through the entropy weight method, so that the subsequent evaluation result is more accurate and reliable.

[0090] In an optional embodiment, S5, ranking the design schemes according to the weighted matrix, and selecting the optimal design scheme according to the ranking result, includes:

[0091] S501, ranking all the design schemes according to the weighted matrix based on the multi-criteria decision method to obtain a ranking curve of the carbon emission of all the design schemes in the whole life cycle changing with time;

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

[0093] In the embodiment of the present application, the carbon emission data in the whole life cycle of the building is comprehensively integrated, the scientific weighting analysis and multi-criteria decision method are used to dynamically evaluate and compare the carbon emission performance of different design schemes changing with time, and the design scheme with the optimal carbon emission performance is selected by fitting with the double carbon target, which not only realizes the low-carbonization target of building design and operation, but also provides detailed and rich decision information for architects, and helps the sustainable development of the building industry.

[0094] In an optional embodiment, the multi-criteria decision method is used to rank all the design schemes according to the weighted matrix, and a ranking curve of the carbon emission of all the design schemes in the whole life cycle over time is obtained, comprising:

[0095] According to the weighted matrix, the positive ideal solution and the negative ideal solution of the large-space public building in the whole life cycle are calculated year by year;

[0096] For each design scheme, the distance between the weighted matrix and the positive ideal solution and the negative ideal solution is calculated every year;

[0097] According to the distance, the relative closeness between the weighted matrix and the positive ideal solution is calculated every year, and a closeness matrix is obtained;

[0098] The relative closeness in the closeness matrix is ranked year by year, and a ranking curve of the carbon emission of all the design schemes in the whole life cycle over time is obtained.

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

[0100] Please refer to Figure 2 , Figure 2 is a ranking curve schematic diagram in a building carbon emission decision-making method based on the whole life cycle provided by the embodiment of the application. In the embodiment of the application, the weighted carbon emission data is comprehensively evaluated by the multi-criteria decision method, the carbon emission performance of each design scheme is calculated year by year, and a ranking curve in the whole life cycle is formed. The carbon emission in the whole life cycle of the building is comprehensively and objectively analyzed, the feasibility and practicality of the decision-making algorithm in the field of low-carbon building design are improved, and strong decision-making support is provided for design and operation, which helps to realize the optimization of carbon emission and the sustainable development goal in the field of building.

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

[0102] wherein, ce nj(t)The carbon emission of the nth life cycle of the jth design scheme at the tth time unit; 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);

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

[0104] Wherein, ce nj(t) is the normalized value;

[0105] The entropy value is

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

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

[0108] The weight is

[0109] Wherein, 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] Wherein, x nj(t) = w n(t) ·ce nj(t) , ce nj(t) is the weighted value, and w n(t) is the weight.

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

[0113]

[0114] Wherein, 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 weighted value of ce nj(t) , and ce nj(t)carbon emission of the nth life cycle of the jth design scheme 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 located in the positive impact set I or the negative impact set J;

[0115] For each design scheme, the Euclidean distance method can be used to calculate the distance between the weighted matrix and the positive ideal solution and the negative ideal solution each year, and then the distance is calculated by the following sixth formula:

[0116]

[0117] wherein, the Euclidean distance of the tth time unit from the positive ideal solution , the Euclidean distance of the tth time unit from the negative ideal solution ;

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

[0119] wherein, the relative proximity of the tth time unit from the positive ideal solution; the Euclidean distance of the tth time unit from the positive ideal solution, the Euclidean distance of the tth time unit from the negative ideal solution.

[0120] For example, 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; the design schemes are sorted according to the weighted matrix, and the optimal design scheme is selected according to the sorting result, which can be realized by the following steps:

[0121] Step one, according to the carbon emission data and the design scheme, a two-dimensional matrix is obtained:

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

[0125] Step two, according to the two-dimensional matrix, construct the carbon emission matrix of each design scheme full life cycle carbon emissions with the construction time changes:

[0126] Assuming that the carbon emissions of large space public buildings in the first year of construction include building material carbon emissions, construction carbon emissions and demolition carbon emissions, and the operation carbon emissions after construction increase year by year, a new carbon emission matrix CE is constructed t = [ce nj(t) ] c×d , wherein ce nj(t) is the carbon emissions of the nth life cycle of design scheme j in 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 schemes (j = 1, 2, …, d);

[0127] Large space public buildings in the first year of construction: CE0= ce nj(0) , wherein ce nj(0) represents the building material carbon emissions, construction carbon emissions and demolition carbon emissions of the large space public building.

[0128] Large space public buildings in the tth year of construction: CE t = ce nj(0) + t x ce nj(1) , wherein ce nj(1) represents the operation carbon emissions of the large space public building every year after construction.

[0129] Step three, taking each year of the large space public building construction as a time unit, the carbon emission matrix CE t is normalized to obtain the decision matrix P t = [p nj(t) ] c×d , the specific formula is as follows:

[0130]

[0131] , wherein p nj(t) is the normalized value of ce nj(t) , ce nj(t) is the carbon emissions of the nth life cycle of design scheme j in 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 schemes (j = 1, 2, …, d).

[0132] Step four, according to the decision matrix P t, calculate the entropy value E of each life cycle of each time unit n(t) , the specific formula is as follows:

[0133]

[0134] Wherein, p nj(t) ce nj(t) The normalized value, ce nj(t) The carbon emission of the nth life cycle of the design scheme j in the tth time unit; 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).

[0135] Step five, according to the entropy value E n(t) , calculate the diversification degree d n(t) of each life cycle of each time unit, the specific formula is as follows:

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

[0137] Wherein, E n(t) is the entropy value of each life cycle stage; n={P(building material production), C(building construction), O(building operation), D(building demolition)}.

[0138] Step six, according to the diversification degree d n(t) , calculate the entropy weight w n(t) of each life cycle of each time unit, the specific formula is as follows:

[0139]

[0140] Wherein, d n(t) is the diversification degree of each life cycle stage; n={P(building material production), C(building construction), O(building operation), D(building demolition)}.

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

[0142] X t =[x nj(t) ] c×d

[0143] Wherein, x nj(t) =w n(t) ·ce nj(t) , the weighted value of ce nj(t) , ce nj(t)wherein, w is the weight of each life cycle stage; 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). n(t) wherein, w is the weight of each life cycle stage; 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).

[0144] Step eight, according to the weighted matrix X t , the positive ideal solution and the negative ideal solution of the large space public building in each year of the life cycle are calculated by the fifth formula and The fifth formula is as follows:

[0145]

[0146] wherein, and are the positive ideal solution and the negative ideal solution of each life cycle stage in the tth time unit; x nj(t) is the weighted value of ce nj(t) ; ce nj(t) is the carbon emission of the nth life cycle of the jth design scheme in the tth time unit; the standard value of the positive ideal solution and the negative ideal solution depends on whether the carbon emission of the whole life cycle is located in the positive impact set I or the negative impact set J.

[0147] Step nine, the distance between each design scheme and each time unit and the positive ideal solution and the negative ideal solution is calculated by the sixth formula by taking the Euclidean distance method as an example, and the sixth formula is as follows:

[0148]

[0149]

[0150] wherein, is the Euclidean distance of the tth time unit to the positive ideal solution , is the Euclidean distance of the tth time unit to the negative ideal solution ; x nj(t) is the weighted value of ce nj(t) ; ce nj(t) is the carbon emission of the nth life cycle of the jth design scheme in the tth time unit; 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).

[0151] Step ten, according to the distance, the relative closeness of each design scheme and each time unit to the positive ideal solution is calculated, and a closeness matrix R is obtained t = [r j(t) ] d×1 , and the specific formula is as follows:

[0152]

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

[0154] Step eleven, the vector value r t in the closeness matrix R j(t) is sorted according to the time unit year by year, and the scheme sorting curve changing with time is obtained, and the annual sorting curve of the life cycle carbon emission of each design scheme changing with the construction time is obtained until the end of the life cycle of the large space public building.

[0155] Step twelve, the weight and TOPSIS sorting of the design scheme at different time points after construction are obtained, the annual sorting curve is fitted with the double carbon target curve, the decision information of whether the design scheme can achieve the double carbon target is obtained and evaluated, the carbon reduction effect of different design schemes at different time points is analyzed, and the design scheme with the optimal carbon emission performance of the large space public building is obtained.

[0156] Correspondingly, the application also provides a building carbon emission decision device based on a whole life cycle, which can realize all processes of the building carbon emission decision method based on a whole life cycle in the above embodiment.

[0157] Please refer to Figure 3 , Figure 3 is a structural schematic diagram of a preferred embodiment of a building carbon emission decision device based on a whole life cycle provided by the application. The building carbon emission decision device based on a whole life cycle comprises:

[0158] The data acquisition module 301 is used to acquire a plurality of design schemes of a large space public building, and the design scheme comprises morphological parameters of the large space public building;

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

[0160] The carbon emission calculation module 303 is configured to calculate annual carbon emission data of each design scheme of the large-space public building in the whole life cycle according to energy consumption data of the form description model and material data and carbon emission factors of the material description model; 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.

[0161] The weight calculation module 304 is configured to calculate the weight of each life cycle stage of each design scheme in each year according to the annual carbon emission data of each design scheme, and obtain a weighted matrix.

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

[0163] Preferably, the model translation module 302 is specifically configured to:

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

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

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

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

[0168] Preferably, the weight calculation module 304 is specifically configured to:

[0169] construct a carbon emission matrix of carbon emissions of each design scheme in the whole life cycle changing over time according to the annual carbon emission data of each design scheme.

[0170] based on the carbon emission matrix, weights of each life cycle stage of each design scheme are calculated according to an objective standard weighting method;

[0171] the carbon emission matrix is weighted according to the weights to obtain a weighted matrix.

[0172] Preferably, the objective standard weighting method is an entropy weighting method, and the weights of each life cycle stage of each design scheme are calculated according to the objective standard weighting method based on the carbon emission matrix, including:

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

[0174] entropy values of each life cycle stage of each design scheme are calculated according to the decision matrix;

[0175] diversity degrees of each life cycle stage of each design scheme are calculated according to the entropy values;

[0176] weights of each life cycle stage of each design scheme are calculated according to the diversity degrees.

[0177] Preferably, the scheme decision module 305 is specifically configured to:

[0178] based on the weighted matrix, all the design schemes are sorted according to a multi-criteria decision method to obtain a sorting curve of the whole life cycle carbon emission of all the design schemes changing with time;

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

[0180] Preferably, based on the weighted matrix, all the design schemes are sorted according to a multi-criteria decision method to obtain a sorting curve of the whole life cycle carbon emission of all the design schemes changing with time, including:

[0181] the positive ideal solution and the negative ideal solution of the whole life cycle of the large space public building are calculated according to the weighted matrix;

[0182] for each design scheme, the distance between the weighted matrix and the positive ideal solution and the negative ideal solution is calculated;

[0183] the relative closeness between the weighted matrix and the positive ideal solution is calculated according to the distance to obtain a closeness matrix;

[0184] the relative closeness in the closeness matrix is sorted year by year to obtain a sorting curve of the whole life cycle carbon emission of all the design schemes changing with time.

[0185] In specific implementation, the working principle, control process and technical effects of the building carbon emission decision device based on the whole life cycle provided by the embodiments of the present application are the same as the building carbon emission decision method based on the whole life cycle in the above embodiments, and will not be repeated here.

[0186] Please refer to Figure 4 , Figure 4 is a preferred embodiment of a terminal device provided by the present application. 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, and the processor 401 implements the building carbon emission decision method based on the whole life cycle described in any of the above embodiments when executing the computer program.

[0187] Preferably, the computer program can be divided into one or more modules / units (such as computer program 1, computer program 2, …), which are stored in the memory 402 and executed by the processor 401 to complete the present application. The one or more modules / units can be a series of computer program instruction segments capable of completing a specific function, which 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), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) 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, wherein the program storage area can store an operating system, at least one application required by a function, and the like, and the data storage area can store related data and the like. In addition, the memory 402 can be a high-speed random access memory, and can also be a nonvolatile memory such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, and the like, or the memory 402 can also be other volatile solid-state storage devices.

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

[0191] The embodiment of the present application also provides a computer readable storage medium, the computer readable storage medium includes a stored computer program, wherein when the computer program runs, the device where the computer readable storage medium is located executes the building carbon emission decision method based on the whole life cycle described in any of the above embodiments.

[0192] The embodiment of the present application also provides a computer program product, the computer program product includes a computer program or computer instructions, the computer program or the computer instructions are executed by the processor to realize the building carbon emission decision method based on the whole life cycle described in any of the above embodiments.

[0193] The embodiment of the present application provides a building carbon emission decision-making method and device based on a whole life cycle, equipment, medium and product, through obtaining a plurality of design schemes of a large-space public building, the design scheme comprising form parameters of the large-space public building; the form parameters of each design scheme are subjected to parameterized modeling and model translation, to obtain a form description model and a material description model of the large-space public building; wherein the form description model is used for connecting a performance simulation engine to calculate building operation energy consumption; the material description model is used for providing material data and carbon emission factors for calculating carbon emission; according to the energy consumption data of the form description model and the material data and carbon emission factors of the material description model, the carbon emission data of each design scheme of the large-space public building is calculated year by year in the whole life cycle; wherein the whole life cycle of the large-space public building comprises a building material production stage, a building construction stage, a building operation stage and a building demolition stage; according to the carbon emission data of each design scheme year by year, the weight of each life cycle stage of each design scheme is calculated year by year, and a weighted matrix is obtained; the design schemes are sorted according to the weighted matrix, and the optimal design scheme is selected according to the sorting result. The embodiment of the present application can calculate carbon emission and evaluate the optimal scheme of carbon emission performance in the early stage of building design, which is helpful for building energy-saving and carbon-reducing buildings.

[0194] It should be noted that the system embodiments described above are only schematic, wherein the units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units, i.e., they can be located in one place, or distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the embodiment. In addition, the connection between the modules in the system embodiment provided by the present application indicates that there is a communication connection between them, which can be realized as one or more communication buses or signal lines. Those skilled in the art can understand and implement it without creative labor.

[0195] The above is the preferred embodiment of the present application, and it should be noted that those skilled in the art can make some improvements and refinements without departing from the principles of the present application, and these improvements and refinements are also considered within the protection scope of the present application.

Claims

1. A full life cycle based building carbon emission decision making method, characterized in that, The method comprises the following steps: obtaining a plurality of design schemes of a large-space public building, wherein the design schemes comprise morphological parameters of the large-space public building; performing parameterized 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, comprising: generating a three-dimensional curved surface model of the large-space public building corresponding to the morphological parameters based on a parameterized modeling platform; wherein the morphological parameters comprise spatial morphological parameters, structural morphological parameters and component morphological parameters; converting the three-dimensional curved surface model into a corresponding mesh surface model according to a preset conversion algorithm, and selecting a corresponding conversion accuracy according to simulation accuracy; performing a geometric closedness check on the mesh surface model, and processing the mesh surface model into a closed morphological description model that can be docked with a performance simulation engine according to a preset processing algorithm and the simulation accuracy, and obtaining each component of the large-space public building and corresponding geometric information; converting the morphological description model into a material description model that can be used for carbon emission evaluation according to the material information corresponding to each component and the geometric information; wherein the morphological description model is used to dock with a performance simulation engine to calculate building operation energy consumption; and the material description model is used to provide material data and carbon emission factors for calculating carbon emissions; calculating carbon emission data of each design scheme of the large-space public building year by year in the whole life cycle according to energy consumption data of the morphological description model and material data and carbon emission factors of the material description model; wherein the whole life cycle of the large-space public building comprises a building material production stage, a building construction stage, a building operation stage and a building demolition stage; calculating the weight of each life cycle stage of each design scheme year by year and obtaining a weighted matrix according to the carbon emission data of each design scheme year by year, comprising: constructing a carbon emission matrix of the whole life cycle carbon emission of each design scheme changing with time according to the carbon emission data of each design scheme year by year; calculating the weight of each life cycle stage of each design scheme year by year based on the carbon emission matrix according to an objective standard weighting method; and weighting the carbon emission matrix according to the weight to obtain a weighted matrix; sorting the design schemes according to the weighted matrix, and selecting the optimal design scheme according to the sorting result, comprising: sorting all the design schemes according to a multi-criteria decision method based on the weighted matrix to obtain a sorting curve of the whole life cycle carbon emission of all the design schemes changing with time; and selecting the optimal design scheme according to the sorting curve.

2. The life-cycle-based building carbon emission decision-making method of claim 1, wherein, If the objective standard weighting method is an entropy weight method, then calculating the weight of each life cycle stage of each design scheme year by year based on the carbon emission matrix according to an objective standard weighting method comprises: performing normalization processing on the carbon emission matrix to obtain a decision matrix; calculating the entropy value of each life cycle stage of each design scheme each year according to the decision matrix; calculating the diversification degree of each life cycle stage of each design scheme each year according to the entropy value; and calculating the diversification degree of each life cycle stage of each design scheme each year according to the entropy value. According to the degree of diversity, the weight of each life cycle stage of each design scheme is calculated per year.

3. The life-cycle based building carbon emission decision-making method of claim 2, wherein, According to the weighting matrix, all design schemes are ranked according to the multi-criteria decision method, and the ranking curve of the whole life cycle carbon emission of all design schemes over time is obtained, including: According to the weighting matrix, the positive ideal solution and the negative ideal solution of the large space public building per year are calculated; For each design scheme, the distance between the weighting matrix and the positive ideal solution and the negative ideal solution per year is calculated; According to the distance, the relative closeness of the weighting matrix and the positive ideal solution per year is calculated, and a closeness matrix is obtained. The relative closeness in the closeness matrix is ranked year by year, and the ranking curve of the whole life cycle carbon emission of all design schemes over time is obtained.

4. A device for building carbon emission decision based on full life cycle, characterized in that, It includes: The data acquisition module is used to acquire a plurality of design schemes of a large space public building, and the design scheme includes the form parameters of the large space public building; The model translation module is used for parameterized modeling and model translation of the form parameters of each design scheme, to obtain the form description model and the material description model of the large space public building, including: based on the parameterized modeling platform, the three-dimensional surface model of the corresponding large space public building is generated according to the form parameters; wherein the form parameters include space form parameters, structure form parameters and component form parameters; the three-dimensional surface model 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; the mesh surface model is checked for geometric closure, and the mesh surface model is processed into a closed form description model that can be connected with a performance simulation engine according to a preset processing algorithm according to the simulation accuracy, and the geometric information of each component of the large space public building is obtained; according to the material information and the geometric information of each component, the form description model is converted into a material description model that can be used for carbon emission evaluation; wherein the form description model is used to connect the performance simulation engine to calculate the building energy consumption; the material description model is used to provide material data and carbon emission factors for calculating carbon emission; The carbon emission calculation module is used to calculate the carbon emission data of each design scheme per year 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; The weight calculation module is configured to calculate the weight of each life cycle stage of each design scheme year by year based on the carbon emission data of each design scheme year by year, and obtain a weighted matrix, including: constructing a carbon emission matrix of the whole life cycle carbon emission of each design scheme changing with time according to the carbon emission data of each design scheme year by year; calculating the weight of each life cycle stage of each design scheme year by year based on the objective standard weighting method based on the carbon emission matrix; weighting the carbon emission matrix according to the weight to obtain a weighted matrix; The scheme decision module is configured to sort the design schemes according to the weighted matrix, and select the optimal design scheme according to the sorting result, including: sorting all the design schemes according to the multi-criteria decision method based on the weighted matrix to obtain a sorting curve of the whole life cycle carbon emission of all the design schemes changing with time; selecting the optimal design scheme according to the sorting curve.

5. A terminal device, characterized by, The computer readable storage medium stores a computer program, and the computer program is configured to be executed by the processor, and the processor executes the computer program to realize the building carbon emission decision method based on the whole life cycle according to any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the computer program is configured to be executed by the processor, and the processor executes the computer program to realize the building carbon emission decision method based on the whole life cycle according to any one of claims 1 to 3.

7. A computer program product, characterised in that, The computer program product includes a computer program or computer instructions, and the computer program or the computer instructions are executed by the processor to realize the building carbon emission decision method based on the whole life cycle according to any one of claims 1 to 3.

Images