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- Publisher Website: 10.1016/j.enbuild.2023.113417
- Scopus: eid_2-s2.0-85166741043
- WOS: WOS:001051882100001
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Article: Pushing the boundaries of modular-integrated construction: A symmetric skeleton grammar-based multi-objective optimization of passive design for energy savings and daylight autonomy
Title | Pushing the boundaries of modular-integrated construction: A symmetric skeleton grammar-based multi-objective optimization of passive design for energy savings and daylight autonomy |
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Authors | |
Keywords | Daylight performance Energy efficiency Modular-integrated construction Multi-objective optimization Passive generative design Symmetric skeleton grammar |
Issue Date | 1-Oct-2023 |
Publisher | Elsevier |
Citation | Energy and Buildings, 2023, v. 296 How to Cite? |
Abstract | Modular-integrated Construction (MiC) is an emerging construction technique promoted in the building sector for high productivity and low waste emission in the construction phase; yet, the standardized modules also bring new challenges, such as balancing passive energy efficiency and spatial daylight autonomy, to the operational phase. This paper proposes a Symmetric Skeleton Grammar-based Multi-Objective Optimization (SSG-MOO) method to formulate parametric MiC envelopes and detailed layout, with the two objective functions being energy efficiency and interior daylight performance in the operational phase. Pareto optima of the SSG-MOO, computed by the Non-dominated Sorting Genetic Algorithm II, are generally verified and analyzed in three levels, i.e., MOO's solution space, SSG layout, and MiC design parameters. A case study of MiC residential building in Hong Kong demonstrated the SSG-MOO method through five new passive MiC designs (i.e., spatial reorganization of three architectural modules, and parameter tuning of the envelops and corridors), achieving up to 0.42% energy savings and 9.71% spatial daylight autonomy improvement compared to the baseline design. The contribution of this paper is two-fold, including a novel and sound SSG-MOO formulation for parametric MiC designs, and offering time-efficient and evidence-based design tactics for MiC designers and industrial practitioners to push boundaries of MiC. |
Persistent Identifier | http://hdl.handle.net/10722/338047 |
ISSN | 2023 Impact Factor: 6.6 2023 SCImago Journal Rankings: 1.632 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Zhou, QY | - |
dc.contributor.author | Xue, F | - |
dc.date.accessioned | 2024-03-11T10:25:51Z | - |
dc.date.available | 2024-03-11T10:25:51Z | - |
dc.date.issued | 2023-10-01 | - |
dc.identifier.citation | Energy and Buildings, 2023, v. 296 | - |
dc.identifier.issn | 0378-7788 | - |
dc.identifier.uri | http://hdl.handle.net/10722/338047 | - |
dc.description.abstract | <p>Modular-integrated Construction (MiC) is an emerging construction technique promoted in the building sector for high productivity and low waste emission in the construction phase; yet, the standardized modules also bring new challenges, such as balancing passive energy efficiency and spatial daylight autonomy, to the operational phase. This paper proposes a Symmetric Skeleton Grammar-based Multi-Objective Optimization (SSG-MOO) method to formulate parametric MiC envelopes and detailed layout, with the two objective functions being energy efficiency and interior daylight performance in the operational phase. Pareto optima of the SSG-MOO, computed by the Non-dominated Sorting Genetic Algorithm II, are generally verified and analyzed in three levels, i.e., MOO's solution space, SSG layout, and MiC design parameters. A case study of MiC residential building in Hong Kong demonstrated the SSG-MOO method through five new passive MiC designs (i.e., spatial reorganization of three architectural modules, and parameter tuning of the envelops and corridors), achieving up to 0.42% energy savings and 9.71% spatial daylight autonomy improvement compared to the baseline design. The contribution of this paper is two-fold, including a novel and sound SSG-MOO formulation for parametric MiC designs, and offering time-efficient and evidence-based design tactics for MiC designers and industrial practitioners to push boundaries of MiC.</p> | - |
dc.language | eng | - |
dc.publisher | Elsevier | - |
dc.relation.ispartof | Energy and Buildings | - |
dc.subject | Daylight performance | - |
dc.subject | Energy efficiency | - |
dc.subject | Modular-integrated construction | - |
dc.subject | Multi-objective optimization | - |
dc.subject | Passive generative design | - |
dc.subject | Symmetric skeleton grammar | - |
dc.title | Pushing the boundaries of modular-integrated construction: A symmetric skeleton grammar-based multi-objective optimization of passive design for energy savings and daylight autonomy | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.enbuild.2023.113417 | - |
dc.identifier.scopus | eid_2-s2.0-85166741043 | - |
dc.identifier.volume | 296 | - |
dc.identifier.eissn | 1872-6178 | - |
dc.identifier.isi | WOS:001051882100001 | - |
dc.publisher.place | LAUSANNE | - |
dc.identifier.issnl | 0378-7788 | - |