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Author:

Lu, Shuai (Lu, Shuai.) | Luo, Yilu (Luo, Yilu.) | Gao, Wen (Gao, Wen.) | Lin, Borong (Lin, Borong.)

Indexed by:

EI Scopus SCIE

Abstract:

Building performance optimisation (BPO) has been intensively explored due to its potential in improving building performance and design efficiency. However, studies on its application in supporting early-stage design decisions are rather limited, causing its actual effectiveness to remain questionable. This paper addresses the problem through a design experiment, where participants designed an office building for energy efficiency, using first the conventional method and then BPO. They also evaluated others' design outcomes and completed a questionnaire about the experiment afterwards. The results showed that BPO is effective in supporting early-stage architectural design even for novices. It turned manual designs that are often averagely energy-efficient in the solution space into top designs without significantly affecting other design merits. The average energy use intensity (EUI) decreased by 8.5 % in this experiment. However, it showed a narrow advantage (0.5 % on average) over evaluating a series of design samples and no clear superiority over less-automated supporting methods with more involvement of designers, as its effectiveness is limited by technical difficulties in implementing certain variables strongly correlated with energy efficiency. In addition, while the majority of participants acknowledge the effectiveness of BPO and the acceptance of its design outcomes, manual designs were still preferred by more, mostly for better aesthetics and better alignment of design concepts, implying the necessity of designer's interventions before using BPO outcomes in design practice. The useability of BPO also needs to be improved by shortening the calculation time and lowering the difficulties in building desirable parametric models.

Keyword:

Building energy efficiency Genetic algorithm Office building Building performance optimisation Performance-based design Design experiment

Author Community:

  • [ 1 ] [Lu, Shuai]Tsinghua Univ, Shenzhen Int Grad Sch, Shenzhen 518055, Guangdong, Peoples R China
  • [ 2 ] [Luo, Yilu]Tsinghua Univ, Shenzhen Int Grad Sch, Shenzhen 518055, Guangdong, Peoples R China
  • [ 3 ] [Lu, Shuai]Univ Sydney, Sydney Sch Architecture Design & Planning, Darlington, NSW 2006, Australia
  • [ 4 ] [Gao, Wen]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China
  • [ 5 ] [Lin, Borong]Tsinghua Univ, Sch Architecture, Beijing 100084, Peoples R China

Reprint Author's Address:

  • [Lin, Borong]Tsinghua Univ, Sch Architecture, Beijing 100084, Peoples R China;;

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Source :

JOURNAL OF BUILDING ENGINEERING

Year: 2023

Volume: 82

6 . 4 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 12

SCOPUS Cited Count: 13

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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