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An exergy-based multi-objective optimisation model for energy retrofit strategies in non-domestic buildings

Garcia Kerdan, I; Raslan, RM; Ruyssevelt, P; (2016) An exergy-based multi-objective optimisation model for energy retrofit strategies in non-domestic buildings. Energy , 117 (Part 2) pp. 506-522. 10.1016/j.energy.2016.06.041. Green open access

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Abstract

While the building sector has a significant thermodynamic improvement potential, exergy analysis has been shown to provide new insight for the optimisation of building energy systems. This paper presents an exergy-based multi-objective optimisation tool that aims to assess the impact of a diverse range of retrofit measures with a focus on non-domestic buildings. EnergyPlus was used as a dynamic calculation engine for first law analysis, while a Python add-on was developed to link dynamic exergy analysis and a Genetic Algorithm optimisation process with the aforementioned software. Two UK archetype case studies (an office and a primary school) were used to test the feasibility of the proposed framework. Different measures combinations based on retrofitting the envelope insulation levels and the application of different HVAC configurations were assessed. The objective functions in this study are annual energy use, occupants' thermal comfort, and total building exergy destructions. A large range of optimal solutions was achieved highlighting the framework capabilities. The model achieved improvements of 53% in annual energy use, 51% of exergy destructions and 66% of thermal comfort for the school building, and 50%, 33%, and 80% for the office building. This approach can be extended by using exergoeconomic optimisation.

Type: Article
Title: An exergy-based multi-objective optimisation model for energy retrofit strategies in non-domestic buildings
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.energy.2016.06.041
Publisher version: http://doi.org/10.1016/j.energy.2016.06.041
Language: English
Additional information: © 2016 Elsevier Ltd. All rights reserved. This manuscript version is made available under a Creative Commons Attribution Non-commercial Non-derivative 4.0 International license (CC BY-NC-ND 4.0). This license allows you to share, copy, distribute and transmit the work for personal and non-commercial use providing author and publisher attribution is clearly stated. Further details about CC BY licenses are available at https://creativecommons.org/licenses/. Access may be initially restricted by the publisher.
Keywords: Building simulation; Exergy; Optimisation; Genetic algorithms; Building retrofits; Non-domestic buildings
UCL classification: UCL > School of BEAMS
UCL > School of BEAMS > Faculty of the Built Environment
URI: http://discovery.ucl.ac.uk/id/eprint/1499604
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