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Murray, Sean N. and Walsh, Brendan P. and Kelliher, Denis and O'Sullivan, D.T.J. (2014) Multi-variable optimization of thermal energy efficiency retrofitting of buildings using static modelling and genetic algorithms – A case study. Building and Environment, 75.

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The retrofitting of existing buildings is an area of research that requires development in order to overcome the ‘rule of thumb’ based approach currently being undertaken. Simulation-based optimization is one approach that can assist consultant engineers, architects and other professionals who undertake retrofit projects. This paper presents a degree-days simulation technique coupled with a genetic algorithms optimization procedure to propose optimal retrofit solutions. The research is applied to a recently retrofitted case-study building. A comparison between the implemented retrofit solution and the simulation-based optimal solution is included to demonstrate the applicability of the research to real-world situations. This research demonstrates the necessity to carry out analysis of a project before retrofit works commence to ensure an optimal approach is taken in accordance with the project specific criteria.

Item Type: Article
Uncontrolled Keywords: Multi-variable optimization; Genetic algorithms; Existing building retrofitting; Degree-days simulation; Energy modelling; Energy efficiency
Subjects: ?? case ??
English > Management and Case Studies
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Depositing User: Universitetsadjunkt Susanna Carlsten
Date Deposited: 08 Jan 2015 15:54
Last Modified: 04 Apr 2017 10:33

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