Parameterized park design method based on performance orientation and zero carbon target

Abstract

The invention discloses a parameterized park design method based on performance guidance and a zero-carbon target, and relates to the technical field of park design, and the method comprises the following steps: S1, carrying out modular division on components of park design based on Rhinoamp; the method comprises the steps that S1, a Grasshopper simulation platform is adopted, geometric parameters and meteorological parameters of the site terrain of the park are imported, photovoltaic power generation potential, wind environment distribution, UTCI and runoff distribution under the original terrain are obtained through analysis plug-ins Ladybug Tools, Butterfly and Mosquito based on the simulation platform, a preliminary design scheme is determined according to the analysis result, and a parameterized model of the park is established; according to the method, the parameterized design method is adopted, the park design speed can be remarkably increased, the workload of designers can be reduced, the working efficiency can be improved, meanwhile, main components of a park are modularized and parameterized, and the design method can be applied and expanded to design of parks of other types.

Description

Technical Field

[0001] The present invention relates to the technical field of park design, and in particular to a parameterized park design method based on performance orientation and zero-carbon goals. Background Art

[0002] The current design of zero-carbon parks mainly relies on the designer's knowledge and design experience to meet the specifications, lacking systematicity and scientificity, which makes it difficult to achieve zero carbonization and performance optimization of the park at the same time. In addition, park design includes terrain design, entrance and exit and parking lot design, building (structure) design, road design, green plant design, water system design, etc., which is complex and changeable. The thermal comfort of the park is also affected by the climate environment, surrounding buildings, traffic, etc., so the shortcomings of the existing technology are as follows:

[0003] (1) The existing technology does not have a specific parameterized design method for parks;

[0004] (2) Existing zero-carbon strategies are not designed for parks;

[0005] (3) Design methods based on performance orientation and zero carbon targets are mainly aimed at buildings and have not yet been applied to park design.

[0006] Therefore, a parametric park design method based on performance orientation and zero carbon target is proposed. Summary of the invention

[0007] The purpose of the present invention is to solve the problems in the prior art and to propose a parametric park design method based on performance orientation and zero-carbon goals.

[0008] A parametric park design approach based on performance orientation and zero carbon goals includes the following steps:

[0009] S1. Modularize the components of the park design, and based on the Rhino&Grasshopper simulation platform, import the site terrain geometry parameters and meteorological parameters of the park, use the simulation platform-based analysis plug-ins LadybugTools, Butterfly, and Mosquito to obtain the photovoltaic power generation potential, wind environment distribution, UTCI and runoff distribution under the original terrain, determine the preliminary design plan based on the analysis results, and establish a parametric model of the park;

[0010] S2. Based on the parameter model of the park, each module is subjected to parametric analysis, which includes performance evaluation indicators, photovoltaic power generation potential and carbon emission calculation.

[0011] S3. Combine the optimized design solutions of each module, import the model into Ladybug Tools and Butterfly, set the decision variables and optimization goals, obtain the optimal solution based on the Wallacei multi-objective optimization design platform, and obtain the best solution for different design requirements.

[0012] Preferably, in step S1, the modules are divided into a building design module, a road design module, a water system design module, a greening design module and a parking lot design module.

[0013] Preferably, in step S2, the parametric analysis of the architectural design module includes parametric design of buildings and parametric design of structures;

[0014] The parametric design of the building takes the envelope size, window-to-wall ratio, roof inclination angle and area, and COP value of air conditioning as variables, and then takes the building energy consumption, photovoltaic power generation potential, and carbon emissions as optimization targets. The model is imported into Ladybug Tools and the optimal target value is obtained through Walliacei;

[0015] The parametric design of the structure takes shape, size and roof area as variables, and photovoltaic power generation potential and carbon emissions as optimization targets. The model is imported into Ladybug Tools and the optimal target value is obtained through Walliacei.

[0016] Preferably, in step S2, the parameter analysis of the road design module includes parametric design of roads, parametric design of street lights, and parametric design of trash cans and rest seats;

[0017] The parametric design of roads takes the number and location of entrances and exits and the number and location of main roads around water systems as variables, and the carbon emissions caused by the production, transportation, use, and maintenance of different materials as optimization targets, and obtains the optimal target value through Walliacei;

[0018] The parametric design of street lights takes the number of solar street lights as the variable and the carbon emissions caused by production, transportation, use and maintenance as the optimization target, and obtains the optimal target value through Walliacei;

[0019] The parametric design of trash cans and rest seats takes the top area and quantity as variables, and the photovoltaic power generation potential and carbon emissions as optimization targets, and the optimal target value is obtained through Ladybug Tools and Wallacei.

[0020] Preferably, in step S2, the parametric analysis of the water system design module takes the water area and depth as variables, and the total runoff, UTCI, and carbon emissions over the entire cycle as optimization targets, and the optimal target value is obtained through Mosquito, Ladybug Tools, and Wallacei optimization.

[0021] Preferably, in step S2, the parametric analysis of the green plant design module takes the type, quantity and layout of plants as variables, and takes the wind environment, UTCI and carbon emissions of the entire cycle as optimization targets, and obtains the optimal target value through Ladybug Tools, Butterfly and Wallacei.

[0022] Preferably, in step S2, the parametric analysis of the parking lot design module takes the carport area, charging piles, and the number of energy storage systems as variables, and the photovoltaic power generation potential and carbon emissions as optimization targets, and obtains the optimal target value through Ladybug Tools and Wallacei analysis.

[0023] Compared with the prior art, the present invention has the following advantages:

[0024] 1. The parametric design method adopted in the present invention can significantly speed up the design of parks, reduce the workload of designers, and improve work efficiency. At the same time, the main components of the park are modularized and parameterized, so that the design method can be applied to other types of park designs.

[0025] 2. The performance-oriented park design of the present invention can not only reduce carbon emissions, but also improve the thermal comfort, spatial comfort and visual comfort of the park, significantly improving the quality of the park. It can serve as a city business card and enhance the city's image.

[0026] 3. The park design of the present invention with zero carbon as the goal makes designers pay more attention to the site ecology and use local materials as much as possible, which can protect the local original ecology to the maximum extent. The carbon emissions of each module at different design stages are calculated and summed according to the carbon emission factor and carbon emission index, and the design is optimized according to the target value to facilitate the realization of the zero carbon goal. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a flow chart of the present invention.

[0028] Figure 2 This is a runoff analysis diagram in the present invention.

[0029] Figure 3 This is a solar radiation analysis diagram in the present invention. DETAILED DESCRIPTION

[0030] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0031] Reference Figure 1-3 As shown in the figure, a parametric park design method based on performance orientation and zero carbon target includes the following steps:

[0032] S1. Modularize the components of the park design, and based on the Rhino & Grasshopper simulation platform, import the site terrain geometry parameters and meteorological parameters of the park, use the simulation platform-based analysis plug-ins LadybugTools, Butterfly, and Mosquito to obtain the photovoltaic power generation potential, wind environment distribution, UTCI (surrounding thermal environment) and runoff distribution under the original terrain, determine the preliminary design plan based on the analysis results, and establish a parametric model of the park;

[0033] S2. Based on the parameter model of the park, each module is subjected to parametric analysis, which includes performance evaluation index, photovoltaic power generation potential prediction and carbon emission calculation.

[0034] S3. Combine the optimized design solutions of each module, import the model into Ladybug Tools and Butterfly, set the decision variables and optimization goals, obtain the optimal solution based on the Wallacei multi-objective optimization design platform, and obtain the best solution for different design requirements.

[0035] In this embodiment, in step S1, the modules are divided into a building design module, a road design module, a water system design module, a greening design module and a parking lot design module.

[0036] In this embodiment, in step S2, the parametric analysis of the architectural design module includes parametric design of buildings and parametric design of structures;

[0037] The parametric design of buildings uses the envelope size, window-to-wall ratio, roof inclination angle and area, and COP value of air conditioning as variables, and then takes building energy consumption, photovoltaic power generation potential, and carbon emissions as optimization targets. The model is imported into Ladybug Tools and obtained through Walliacei to obtain the optimal target value and the design plan of the corresponding building;

[0038] The parametric design of the structure takes shape, size and roof area as variables, and photovoltaic power generation potential and carbon emissions as optimization targets. The model is imported into Ladybug Tools and the optimal target value is obtained through Walliacei to obtain the design plan of the structure.

[0039] In this embodiment, in step S2, the parameter analysis of the road design module includes parametric design of roads, parametric design of street lights, and parametric design of trash cans and rest seats;

[0040] The parametric design of roads takes the number and location of entrances and exits and the number and location of main roads around water systems as variables, and the carbon emissions caused by the production, transportation, use, and maintenance of different materials as optimization targets, and obtains the optimal target value through Walliacei;

[0041] The parametric design of street lights takes the number of solar street lights as the variable and the carbon emissions caused by production, transportation, use and maintenance as the optimization target, and obtains the optimal target value through Walliacei;

[0042] The parametric design of trash cans and rest seats takes the top area and quantity as variables, and the photovoltaic power generation potential and carbon emissions as optimization targets, and the optimal target value is obtained through Ladybug Tools and Wallacei.

[0043] In this embodiment, in step S2, the parametric analysis of the water system design module takes the water area and depth as variables, and the total runoff, UTCI, and carbon emissions over the entire cycle as optimization targets, and the optimal target value is obtained through Mosquito, Ladybug Tools, and Wallacei optimization.

[0044] In this embodiment, in step S2, the parametric analysis of the green plant design module takes the type, quantity, and layout of plants as variables, and the wind environment, UTCI, and carbon emissions of the entire cycle as optimization targets, and obtains the optimal target value through Ladybug Tools, Butterfly, and Wallacei.

[0045] In this embodiment, in step S2, the parametric analysis of the parking lot design module takes the carport area, charging piles, and the number of energy storage systems as variables, and the photovoltaic power generation potential and carbon emissions as optimization targets, and obtains the optimal target value through Ladybug Tools and Wallacei analysis.

[0046] Design Process

[0047] The first step is to import the topographic map into the Rhino platform and convert it into a model readable by Grasshopper, import the meteorological file in EPW format, and use the analysis software Ladybug Tools, Butterfly, and Mosquito based on the Rhino&Grasshopper platform to simulate and analyze the distribution of parameters such as the original sunshine, ventilation, and runoff of the site. Then, the preliminary design plan is determined according to the design task book and relevant specifications (Park Design Specifications, Green Building Evaluation Standards, etc.).

[0048] In the second step, the park design is divided into five modules: architectural design, road design, water system design, greening design, and parking lot design, and corresponding parametric models are established for each module.

[0049] The third step is to establish the performance evaluation indicators, photovoltaic power generation potential and carbon emission calculation model for each module.

[0050] Table 1: Parameterized analysis table of each module

[0051]

[0052] Carbon emission calculation model for buildings and structures:

[0053] C BZC =C BSC +C BYS +C BJZ +C BYX

[0054] Among them, C BZC is the carbon emissions per unit building area during the production and transportation of building materials (kg CO 2 e / m 2 );C BSC is the carbon emissions from the building materials production stage (kg CO 2 e / m 2 );C BYS is the carbon emission during the transportation of building materials (kg CO 2 e / m 2 );C BJZ is the carbon emissions during the construction phase (kg CO 2 e / m 2 );C BYX is the carbon emissions during the building operation phase (kg CO 2 e / m 2 ).

[0055]

[0056] M i is the consumption of the i-th building material; F i is the carbon emission factor of the transportation method used for the i-th building material [(kgCO 2 e / (t·km))]; S i is the transportation distance of the ith building material (km).

[0057]

[0058] E jz,i is the total consumption of the i-th energy during the construction phase of the building (kW.h or kg); EF i is the carbon emission factor of the i-th energy source (kg CO 2 / kW·h or kg CO 2 / kg).

[0059]

[0060] E i is the energy consumption of category i during the building operation phase; EEF i is the carbon emission factor of the i-th energy source; C bgt is the carbon reduction of building photovoltaic carbon sink (kg CO 2 e / m 2 ).

[0061] Carbon emission calculation model for roads:

[0062] C YZC =C YSC +C YYS +C YJZ

[0063] Among them, C YZC is the carbon emissions per unit building area during the production and transportation of building materials (kg CO 2 e / m 2 );C YSC is the carbon emission during the production of road materials (kg CO 2 e / m 2 );C YYS is the carbon emission during the transportation of road raw materials (kg CO 2 e / m 2 );C YJZ is the carbon emission during the road construction phase (kg CO 2 e / m 2 ).

[0064]

[0065] M yi is the consumption of the i-th raw material; F yi is the carbon emission factor of the transportation method used for the i-th raw material [(kgCO 2 e / (t·km))]; S yi is the transportation distance of the ith raw material (km).

[0066]

[0067] E yjz,i is the total consumption of the i-th energy during the road construction phase (kW.h or kg); EF yi is the carbon emission factor of the i-th energy source (kg CO 2 / kW·h or kg CO 2 / kg).

[0068]

[0069] E i is the energy consumption of category i during the building operation phase; EEF i is the carbon emission factor of the i-th energy source; C bgt is the carbon reduction of building photovoltaic carbon sink (kg CO 2 e / m 2 )

[0070] Carbon emission calculation model of green plants:

[0071] C LZC =C LSC +C LYS +C LJZ -C LGT

[0072] Among them, C LZC It is the carbon emissions from the production, transportation, planting and use of green plants (kg CO 2 e / m 2 );C LSC is the carbon emission in the green production stage (kg CO 2 e / m 2 );C LYS is the carbon emission during the transportation of green plants (kg CO 2 e / m 2 );C LZZ is the carbon emission during the planting phase (kg CO 2 e / m 2 );C LGT is the amount of carbon fixed during the use phase (kg CO 2 e / m 2 ).

[0073]

[0074] M li is the consumption of the i-th plant; F li is the carbon emission factor of the transportation method used by the i-th plant [(kgCO 2 e / (t·km))]; S li is the transportation distance of the ith plant (km).

[0075]

[0076] E lzz,i is the total consumption of the i-th energy during the greening construction phase (kW.h or kg); EF li is the carbon emission factor of the i-th energy source (kg CO 2 / kW·h or kg CO 2 / kg).

[0077]

[0078] E li is the annual carbon fixation of the i-th plant (kg CO 2 e / m 2 ).

[0079] Carbon emission calculation model for water system:

[0080] C SZC =C SSC +C SYS +C SJZ +C SYX

[0081] Among them, C SZC It is the carbon emission per unit water area during the raw material production, transportation, construction and operation stages (kgCO 2 e / m 2 );C SSC is the carbon emission during the raw material production stage (kg CO 2 e / m 2 );C SYS is the carbon emission during the transportation of raw materials (kg CO 2 e / m 2 );C SJZ is the carbon emissions during the construction phase (kg CO 2 e / m 2 );C SYX is the carbon emission during the operation phase (kg CO 2 e / m 2 ).

[0082]

[0083] M si is the consumption of the i-th raw material; F si is the carbon emission factor of the transportation method used for the i-th raw material [(kg CO 2 e / (t·km))]; S i is the transportation distance of the ith building material (km).

[0084]

[0085] E sjz,i is the total consumption of the i-th energy during the construction phase of the building (kW.h or kg); EF si is the carbon emission factor of the i-th energy source (kg CO 2 / kW·h or kg CO 2 / kg).

[0086]

[0087] E si is the energy consumption of category i during the operation phase; EEF si is the carbon emission factor of the i-th energy source.

[0088] Carbon emission calculation model for parking lots:

[0089] C TZC =C TSC +C TYS +C TJZ +C TYX

[0090] Among them, C TZC is the carbon emissions per unit building area during the production and transportation of building materials (kg CO 2 e / m 2 );C TSC is the carbon emissions from the building materials production stage (kg CO 2 e / m 2 );C TYS is the carbon emissions from the building materials production stage (kg CO 2 e / m 2 );C TJZ is the carbon emissions during the construction phase (kg CO 2 e / m 2 );C TYX is the carbon emissions during the building operation phase (kg CO 2 e / m 2 ).

[0091]

[0092] M ti is the consumption of the i-th building material; F ti is the carbon emission factor of the transportation method used for the i-th building material [(kgCO 2 e / (t·km))]; S ti is the transportation distance of the ith building material (km).

[0093]

[0094] E tjz,i is the total energy consumption of the i-th type during the construction phase of the parking shed (kW.h or kg); EF ti is the carbon emission factor of the i-th energy source (kg CO 2 / kW·h or kg CO 2 / kg).

[0095]

[0096] Eti is the energy consumption of category i during the operation phase of the parking shed; EEF ti is the carbon emission factor of the i-th energy source; C tgt is the carbon reduction of the parking shed photovoltaic carbon sink (kg CO 2 e / m 2 ).

[0097] The fourth step is to conduct performance evaluation and optimization analysis of each module, compare and analyze different optimization schemes, and determine the final park design plan.

[0098] In summary, the use of parametric design methods can significantly speed up park design, reduce the workload of designers, and improve work efficiency. At the same time, modularizing and parameterizing the main components of the park can make the design method easily expand to other types of park designs. Parks designed based on this method can not only reduce carbon emissions, but also significantly improve the quality of parks and meet people's comfort requirements. At the same time, they can also serve as a city's business card to enhance the city's image.

[0099] It is known from common technical knowledge that the present invention can be implemented by other embodiments that do not deviate from its spirit or essential features. Therefore, the above disclosed embodiments are only illustrative in all respects and are not exclusive. All changes within the scope of the present invention or within the scope equivalent to the present invention are included in the present invention.

Claims

1. A parametric park design method based on performance orientation and zero carbon goal, characterized by: The following steps are involved: S1. Modularize the components of the park design, and import the site terrain geometry parameters and meteorological parameters of the park based on the Rhino & Grasshopper simulation platform. Use the analysis plug-ins Ladybug Tools, Butterfly, and Mosquito based on the simulation platform to obtain the photovoltaic power generation potential, wind environment distribution, UTCI and runoff distribution under the original terrain. Determine the preliminary design plan based on the analysis results and establish a parametric model of the park. S2. Based on the parameter model of the park, each module is subjected to parametric analysis, which includes performance evaluation indicators, photovoltaic power generation potential and carbon emission calculation. S3. Combine the optimized design solutions of each module, import the model into Ladybug Tools and Butterfly, set the decision variables and optimization goals, obtain the optimal solution based on the Wallacei multi-objective optimization design platform, and obtain the best solution for different design requirements.

2. A parametric park design method based on performance orientation and zero carbon goal according to claim 1, characterized in that: In step S1, the modules are divided into a building design module, a road design module, a water system design module, a greening design module and a parking lot design module.

3. A parametric park design method based on performance orientation and zero carbon goal according to claim 2, characterized in that: In step S2, the parametric analysis of the architectural design module includes parametric design of buildings and parametric design of structures; The parametric design of the building takes the envelope size, window-to-wall ratio, roof inclination angle and area, and COP value of air conditioning as variables, and then takes the building energy consumption, photovoltaic power generation potential, and carbon emissions as optimization targets. The model is imported into Ladybug Tools and the optimal target value is obtained through Walliacei; The parametric design of the structure takes shape, size and roof area as variables, and photovoltaic power generation potential and carbon emissions as optimization targets. The model is imported into Ladybug Tools and the optimal target value is obtained through Walliacei.

4. A parametric park design method based on performance orientation and zero carbon goal according to claim 2, characterized in that: In step S2, the parameter analysis of the road design module includes parametric design of roads, parametric design of street lights, and parametric design of trash cans and rest seats; The parametric design of roads takes the number and location of entrances and exits and the number and location of main roads around water systems as variables, and the carbon emissions caused by the production, transportation, use, and maintenance of different materials as optimization targets, and obtains the optimal target value through Walliacei; The parametric design of street lights takes the number of solar street lights as the variable and the carbon emissions caused by production, transportation, use and maintenance as the optimization target, and obtains the optimal target value through Walliacei; The parametric design of trash cans and rest seats takes the top area and quantity as variables, and the photovoltaic power generation potential and carbon emissions as optimization targets, and the optimal target value is obtained through Ladybug Tools and Wallacei.

5. A parametric park design method based on performance orientation and zero carbon goal according to claim 2, characterized in that: In step S2, the parametric analysis of the water system design module takes the water area and depth as variables, and the total runoff, UTCI, and carbon emissions over the entire cycle as optimization targets, and the optimal target value is obtained through Mosquito, Ladybug Tools, and Wallacei optimization.

6. A parametric park design method based on performance orientation and zero carbon goal according to claim 2, characterized in that: In step S2, the parametric analysis of the green plant design module takes the type, quantity, and layout of plants as variables, and the wind environment, UTCI, and carbon emissions of the entire cycle as optimization targets, and obtains the optimal target value through Ladybug Tools, Butterfly, and Wallacei.

7. A parametric park design method based on performance orientation and zero carbon goal according to claim 1, characterized in that: In step S2, the parametric analysis of the parking lot design module takes the carport area, charging piles, and the number of energy storage systems as variables, and the photovoltaic power generation potential and carbon emissions as optimization targets, and obtains the optimal target value through Ladybug Tools and Wallacei analysis.

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