Table 2 Investigate the performance design of previous studies
From: Performative driven form finding in the early design stage
Authors | Aim | Methods | Software | Building type | Region/location | Parameters | Performance objective | Results | |
|---|---|---|---|---|---|---|---|---|---|
(Zhang et al. [46] | Find the optimal form of a residential building with less energy consumption | Performative genetic algorithm | Parametric/optimizer ▪ Rhinoceros/Grasshopper and Python Energy simulator ▪ Ladybug & honeybee | Residential buildings Early design stage | Beijing, China | Core ▪ Location ▪ Shape Room ▪ Orientation ▪ Width ▪ Height ▪ Function window ▪ Orientation ▪ WWR | ▪ Width ▪ Height ▪ Area to space area Circulation ▪ Shape ▪ Length ▪ U-value ▪ Schedule | ▪ Cooling ▪ Heating ▪ Total | The ideal design plan is from 1595 automatically created schemes with the lowest cooling and heating hand. As a result, it has a total load of 15.8% lower than the worst scenario and 4.2% lower than the original scenario |
(Feng et al. ([11]) | Find the optimal form of a residential building with less energy consumption and less life cycle cost | Optimization | Optimizer ▪ Manta-Ray Energy simulator ▪ RIUSKA | Residential buildings | ▪ El Centro ▪ California ▪ Fort Wayne Indiana ▪ Orlando, Florida ▪ California | Building shape ▪ Wall and roof insulation ▪ Orientation ▪ Azimuth (degree) ▪ Ceiling insulation ▪ Thermal mass ▪ Wall construction insulation ▪ Infiltration • Glazing type • Type of windows | ▪ Life cycle cost ▪ Electric consumption | A building with rectangular and trapezoid forms has the lowest life cycle cost | |
(Xia & Li ([40]) | Design and evaluate the optimal residential urban form through energy consumption and access to solar radiation. | Morphology and performance of the optimized generated | Parametric/optimizer ▪ Rhinoceros/Grasshopper and Python Energy simulator ▪ Ladybug & honeybee | Urban residential block | Hangzhou in China | ▪ Plot ratio Building ▪ Density ▪ Type ▪ Height | ▪ Solar radiation ▪ Energy consumption | Access to solar radiation is much more responsive to changes in morphology than energy consumption The number and location of building blocks are responsible for the changes in morphological characteristics among lower energy consumption and higher solar radiation access | |
(Vukadinović et al. ([38]) | Determine which parameter has the most significant impact on heating and cooling energy consumption and thermal comfort | Multiobjective optimization | Optimizer NSGA-II Energy simulator Design builder | Residential Buildings | Serbia | ▪ WWR ▪ Window material. ▪ Wall Construction ▪ Shading | ▪ Cooling ▪ Heating ▪ Total | The window-to-wall ratio is the component of the passive solar architecture that significantly impacts energy efficiency | |
(Youssef et al. ([43]) | Get the optimal building form for maximizing photovoltaic cell integration | Optimization | Optimizer ▪ GenOpt Energy simulator ▪ DOE-2 ▪ Autodesk ECOTECT | Commercial building | Cairo, Egypt | ▪ Orientation. ▪ Shape direction ▪ Shape addition ▪ Shape subtraction | ▪ Pv power ▪ Pv cost ▪ Energy Consumption | When photovoltaic cells are integrated, the improvement in energy consumption ranges from 1.8 to 12.5 percent | |
(Toutou et al. ([35]) | Optimize residential building envelope elements through specific parameters to enhance lighting and energy consumption | Performative genetic algorithm | Parametric ▪ Rhinoceros/Grasshopper and Python Optimizer ▪ Octopus plug-in Energy simulator ▪ Ladybug & honeybee | Residential buildings Five storey | Cairo, Egypt | ▪ WWR ▪ Window material ▪ Wall construction ▪ Shading depth ▪ Shading width ▪ Shading count | ▪ Daylighting ▪ SDA300/50%) ▪ Energy consumption ▪ EUI | It resulted in the creation of more than 300 generations. The SDA value was discovered to be 84.11, approximately 10% higher than the base case design, and the EUI was 166.01 kWh/m2, which was reduced to approximately 3.5% | |
(Yi & Kim ([41]) | Proposes a new method for optimizing a building’s direct sunlight access | Genetic algorithm optimization | Parametric ▪ Rhinoceros/Grasshopper Optimizer ▪ Galapagos simulator ▪ Ladybug | Tall residential building | Korea | Building ▪ Location ▪ Rotation ▪ Twist factor ▪ Geometry factor | ▪ During hours of direct sunlight ▪ Solar hours are less than 2 h | Introduce an agent-based geometric control that relocates the building position in a specific area to minimize solar hour access | |
(Youssef et al. ([44]) | Integrated photovoltaics in buildings, appropriate building form, electricity generation, and economic analysis | Optimization | ECOTECT. Classifying the subsurface of the model based on solar irradiation using the SAM tool to predict PV performance RETScreen “SolVelope” “RADIANCE” “GRIPVS” | Commercial building | Cairo, Egypt | Surface tilt angle Initial building shape PV type | ▪ Solar exposure rate per cubic meter ▪ Solar irradiation | Identifying the best envelope design with the highest solar exposure was the key Findings of cost-efficient photovoltaic systems with optimal envelopes A framework of such an approach to formulating optimal building envelope shapes and the appropriate PV systems for the identified envelopes | |