Rapid multi-objective optimization with multi-year future weather condition and decision-making support for building retrofit

Pengyuan Shen, William Braham, Yunkyu Yi and Eric Eaton

Energy, 2019, vol. 172, issue C, 892-912

Abstract: A method of fast multi-objective optimization and decision-making support for building retrofit planning is developed, and lifecycle cost analysis method taking into account of future climate condition is used in evaluating the retrofit performance. In order to resolve the optimization problem in a fast manner with recourse to non-dominate sorting differential evolution algorithm, the simplified hourly dynamic simulation modeling tool SimBldPy is used as the simulator for objective function evaluation. Moreover, the generated non-dominated solutions are treated and rendered by a layered scheme using agglomerative hierarchical clustering technique to make it more intuitive and sense making during the decision-making process as well as to be better presented.

Keywords: Building retrofit; Optimization; Heuristic method; Pareto fronts; Hierarchical clustering; Climate change (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:172:y:2019:i:c:p:892-912

DOI: 10.1016/j.energy.2019.01.164

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