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Article: Multi-objective optimization for generative morphological design using energy and comfort models with a practical design of new rural community in China
| Title | Multi-objective optimization for generative morphological design using energy and comfort models with a practical design of new rural community in China |
|---|---|
| Authors | |
| Keywords | Design project Energy and comfort models Multi-objective optimization New rural community Performance-based design |
| Issue Date | 13-May-2024 |
| Publisher | Elsevier |
| Citation | Energy and Buildings, 2024, v. 313 How to Cite? |
| Abstract | In recent years, the development of new rural communities has emerged as a pivotal new trend in china, aimed at enhancing energy efficiency and residential comfort in rural regions. This study introduces a multi-objective optimization design framework for the morphological design of residential area, with a focus on performance objectives such as building energy use intensity, summer thermal comfort, and winter thermal comfort. A case study of a new rural community design project in Hongnan Village, Yancheng City, was conducted. Utilizing the Rhino-Grasshopper parametric platform, this study undertook parametric modeling, performance simulation, and multi-objective optimization to receive the Pareto-optimal solutions. ParetoResults indicate that in the Pareto-optimal morphology scheme for the Hongnan Village community, open spaces are predominantly located on the upwind side with respect to the prevailing summer winds of the site. The number of duplex houses is often 28, and the building orientations are predominantly aligned at 23°, mirroring the direction of the surrounding structures. There is a significant correlation between residential unit configuration, building spacing, and energy use intensity, with correlation coefficients of 0.53 and −0.43, respectively. This study would like to offer valuable insights into the energy-efficient design of new rural communities, thereby contributing to the creation of a more sustainable and habitable rural living environment. |
| Persistent Identifier | http://hdl.handle.net/10722/348655 |
| ISSN | 2023 Impact Factor: 6.6 2023 SCImago Journal Rankings: 1.632 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Li, Run | - |
| dc.contributor.author | Luo, Linxi | - |
| dc.contributor.author | Li, Xiangfeng | - |
| dc.contributor.author | Wu, Jiyuan | - |
| dc.contributor.author | Jiang, Feifeng | - |
| dc.contributor.author | Wong Wei | - |
| dc.date.accessioned | 2024-10-11T00:31:13Z | - |
| dc.date.available | 2024-10-11T00:31:13Z | - |
| dc.date.issued | 2024-05-13 | - |
| dc.identifier.citation | Energy and Buildings, 2024, v. 313 | - |
| dc.identifier.issn | 0378-7788 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/348655 | - |
| dc.description.abstract | <p>In recent years, the development of new rural communities has emerged as a pivotal new trend in china, aimed at enhancing energy efficiency and residential comfort in rural regions. This study introduces a multi-objective optimization design framework for the morphological design of residential area, with a focus on performance objectives such as building energy use intensity, summer thermal comfort, and winter thermal comfort. A case study of a new rural community <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/design-project" title="Learn more about design project from ScienceDirect's AI-generated Topic Pages">design project</a> in Hongnan Village, Yancheng City, was conducted. Utilizing the Rhino-Grasshopper parametric platform, this study undertook <a href="https://www.sciencedirect.com/topics/engineering/parametric-modeling" title="Learn more about parametric modeling from ScienceDirect's AI-generated Topic Pages">parametric modeling</a>, performance simulation, and multi-objective optimization to receive the Pareto-optimal solutions. ParetoResults indicate that in the Pareto-optimal morphology scheme for the Hongnan Village community, <a href="https://www.sciencedirect.com/topics/engineering/open-space" title="Learn more about open spaces from ScienceDirect's AI-generated Topic Pages">open spaces</a> are predominantly located on the upwind side with respect to the prevailing summer winds of the site. The number of duplex houses is often 28, and the building orientations are predominantly aligned at 23°, mirroring the direction of the surrounding structures. There is a significant correlation between residential unit configuration, building spacing, and energy use intensity, with <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/correlation-coefficient" title="Learn more about correlation coefficients from ScienceDirect's AI-generated Topic Pages">correlation coefficients</a> of 0.53 and −0.43, respectively. This study would like to offer valuable insights into the energy-efficient design of new rural communities, thereby contributing to the creation of a more sustainable and habitable rural living environment.<br></p> | - |
| dc.language | eng | - |
| dc.publisher | Elsevier | - |
| dc.relation.ispartof | Energy and Buildings | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.subject | Design project | - |
| dc.subject | Energy and comfort models | - |
| dc.subject | Multi-objective optimization | - |
| dc.subject | New rural community | - |
| dc.subject | Performance-based design | - |
| dc.title | Multi-objective optimization for generative morphological design using energy and comfort models with a practical design of new rural community in China | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.1016/j.enbuild.2024.114282 | - |
| dc.identifier.scopus | eid_2-s2.0-85192717280 | - |
| dc.identifier.volume | 313 | - |
| dc.identifier.eissn | 1872-6178 | - |
| dc.identifier.issnl | 0378-7788 | - |