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Optimizing sustainable retrofit strategies for a heritage complex through multiobjective optimization and Space Syntax analysis: a Suzhou case study
by
Zhang, Shihao
, Xu, Qi
, Riffat, Saffa
in
Architecture
/ Case studies
/ Cultural heritage
/ Decision making
/ Energy conservation
/ Energy consumption
/ Energy efficiency
/ Spatial analysis
/ Sustainability
2025
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Optimizing sustainable retrofit strategies for a heritage complex through multiobjective optimization and Space Syntax analysis: a Suzhou case study
by
Zhang, Shihao
, Xu, Qi
, Riffat, Saffa
in
Architecture
/ Case studies
/ Cultural heritage
/ Decision making
/ Energy conservation
/ Energy consumption
/ Energy efficiency
/ Spatial analysis
/ Sustainability
2025
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Do you wish to request the book?
Optimizing sustainable retrofit strategies for a heritage complex through multiobjective optimization and Space Syntax analysis: a Suzhou case study
by
Zhang, Shihao
, Xu, Qi
, Riffat, Saffa
in
Architecture
/ Case studies
/ Cultural heritage
/ Decision making
/ Energy conservation
/ Energy consumption
/ Energy efficiency
/ Spatial analysis
/ Sustainability
2025
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Optimizing sustainable retrofit strategies for a heritage complex through multiobjective optimization and Space Syntax analysis: a Suzhou case study
Journal Article
Optimizing sustainable retrofit strategies for a heritage complex through multiobjective optimization and Space Syntax analysis: a Suzhou case study
2025
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Overview
Abstract
This study addresses the sustainable retrofitting of heritage buildings, balancing modern efficiency with heritage preservation. Using a Suzhou case study, this research integrates multiobjective optimization and Space Syntax analysis to tailor sustainable retrofit strategies for a heritage complex. The framework balances energy efficiency, historical value, and architectural integrity by customizing measures for individual buildings. The proposed solution reduces energy consumption by up to 37% with lower negative historic impacts and initial costs compared with solutions proposed by conventional optimization methods. These results demonstrate that advanced optimization combined with spatial analysis provides a robust, quantitative basis for harmonizing energy performance with heritage conservation.
Publisher
Oxford University Press
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