Multi-objective optimization of morphology for high-rise residential cluster with the regards to energy use and microclimate

Feng, Weijia; Chen, Jintao; Yang, Yi; Gao, Weijun; Xing, Haowei; Yu, Shuai

doi:10.1016/j.enbuild.2024.114534

Energy and Buildings

2024

DOI: 10.1016/j.enbuild.2024.114534

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Multi-objective optimization of morphology for high-rise residential cluster with the regards to energy use and microclimate

Weijia Feng,

Jintao Chen,

Yi Yang

et al.

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2024

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Cited by 3 publications

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Profit-sensitive generative design for high-rise building morphologies: innovations in 3D form generation and cost-revenue assessment

Zhang,

Peng,

et al. 2024

Building Research & Information

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Profit-sensitive generative design for high-rise building morphologies: innovations in 3D form generation and cost-revenue assessment

Zhang,

Peng,

et al. 2024

Building Research & Information

View full text Add to dashboard Cite

Cold Coastal City Neighborhood Morphology Design Method Based on Multi-Objective Optimization Simulation Analysis

Xu,

Zhu,

Guo

et al. 2024

Buildings

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In the context of global warming and the frequent occurrence of extreme weather, coastal cities are more susceptible to the heat island effect and localized microclimate problems due to the significant influence of the oceanic climate. This study proposes a computer-driven simulation optimization method based on a multi-objective optimization algorithm, combined with tools such as Grasshopper, Ladybug, Honeybee and Wallacei, to provide scientific optimization decision intervals for morphology control and evaluation factors at the initial stage of coastal city block design. The effectiveness of this optimization strategy is verified through empirical research on typical coastal neighborhoods in Dalian. The results show that the strategy derived from the multi-objective optimization-based evaluation significantly improves the wind environment and thermal comfort of Dalian neighborhoods in winter and summer: the optimization reduced the average wind speed inside the block by 0.47 m/s and increased the UTCI by 0.48 °C in winter, and it increased the wind speed to 1.5 m/s and decreased the UTCI by 0.59 °C in summer. This study shows that the use of simulation assessment and multi-objective optimization technology to adjust the block form of coastal cities can effectively improve the seasonal wind and heat environment and provide a scientific basis for the design and renewal of coastal cities.

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Energy Performance-Oriented Multi-Objective Optimization of Spatial Form of High-Rise Residential Blocks in the Changsha Region

Huang,

Tian,

Huang

2024

Buildings

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Optimizing urban spatial form has become an important research topic for promoting urban sustainable development and improving energy efficiency. This study selects 164 high-rise residential blocks in the Changsha area as the research object and constructs three multi-objective optimization frameworks and mathematical models for the spatial form of high-rise residential blocks based on the Rhino and Grasshopper parametric platform. The TOPSIS comprehensive evaluation method is combined to further screen the Pareto front solutions, and global sensitivity analysis of spatial form parameters is conducted using Simlab to explore the multi-objective optimization strategies for the spatial form of high-rise residential blocks in the Changsha area, guided by energy performance. Practical cases are selected for verification. The results show that, (1) after multi-objective optimization, the optimal scheme for the determinant type reduces EUI by 7.22%, increases PVP by 28.84%, and reduces CGR by 2.21%. The optimal scheme for the point-cluster type reduces EUI by 3.80%, increases PVP by 7.34%, and reduces CGR by 2.30%. The optimal scheme for the staggered type reduces EUI by 6.66%, increases PVP by 17.65%, and reduces CGR by 2.26%. (2) The potential order of spatial form optimization for the three types of high-rise residential blocks in the Changsha area is determinant type > staggered type > point-cluster type. (3) The spatial form parameters most sensitive to the three architectural performance goals of EUI, PVP, and CGR are floor area ratio and average number of floors. The research results will provide quantifiable references for scientific decision-making in the design practice of high-rise residential blocks in the Changsha area and even in regions with hot summers and cold winters.

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Multi-objective optimization of morphology for high-rise residential cluster with the regards to energy use and microclimate

Cited by 3 publications

References 61 publications

Profit-sensitive generative design for high-rise building morphologies: innovations in 3D form generation and cost-revenue assessment

Profit-sensitive generative design for high-rise building morphologies: innovations in 3D form generation and cost-revenue assessment

Cold Coastal City Neighborhood Morphology Design Method Based on Multi-Objective Optimization Simulation Analysis

Energy Performance-Oriented Multi-Objective Optimization of Spatial Form of High-Rise Residential Blocks in the Changsha Region

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