Shahi, S; Beesley, P and Haas, C T (2023) Creating space and time for innovation: a methodology for building adaptation design appraisal using physics-based simulation tools and interactive multi-objective optimization. Engineering, Construction and Architectural Management, 30(3), pp. 1098-1121. ISSN 09699988
Abstract
Purpose: It is crucial to consider the multitude of possible building adaptation design strategies for improving the existing conditions of building stock as an alternative to demolition. Design/methodology/approach: Integration of physics-based simulation tools and decision-making tools such as Multi-Attribute Utility (MAU) and Interactive Multi-objective Optimization (IMO) in the design process enable optimized design decision-making for high-performing buildings. A methodology is presented for improving building adaptation design decision making, specifically in the early-stage design feasibility analysis. Ten residential building adaptation strategies are selected and applied to one primary building system for eight performance metrics using physics-based simulation tools. These measures include energy use, thermal comfort, daylighting, natural ventilation, systems performance, life cycle, cost-benefit and constructability. The results are processed using MAU and IMO analysis and are validated through sensitivity analysis by testing one design strategy on three building systems. Findings: Quantifiable comparison of building adaptation strategies based on multiple metrics derived from physics-based simulations can assist in the evaluation of overall environmental performance and economic feasibility for building adaptation projects. Research limitations/implications: The current methodology presented is limited to the analysis of one decision-maker at a time. It can be improved to include multiple decision-makers and capture varying perspectives to reflect common practices in the industry. Practical implications: The methodology presented supports affordable generation and analysis of a large number of design options for early-stage design optimization. Originality/value: Given the practical implications, more space and time is created for exploration and innovation, resulting in potential for improved benefits.
Item Type: | Article |
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Uncontrolled Keywords: | architecture; decision support systems; design; simulation |
Date Deposited: | 11 Apr 2025 15:13 |
Last Modified: | 11 Apr 2025 15:13 |