Skip navigation

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

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

García Kerdan, Iván ORCID: 0000-0002-0566-555X, Raslan, Rokia and Ruyssevelt, Paul (2016) An exergy-based multi-objective optimisation model for energy retrofit strategies in non-domestic buildings. Energy, 117 (2). pp. 506-522. ISSN 0360-5442 (Print), 1873-6785 (Online) (doi:https://doi.org/10.1016/j.energy.2016.06.041)

[img]
Preview
PDF (Author Accepted Manuscript)
25823 GARCIA KERDAN_Exergy-Based_Multi-Objective_Optimisation_Model_2016.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (1MB) | Preview

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.

Item Type: Article
Uncontrolled Keywords: building simulation, exergy, optimisation, genetic algorithms, building retrofits, non-domestic buildings
Subjects: T Technology > TH Building construction
Faculty / Department / Research Group: Faculty of Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > Department of Built Environment
Last Modified: 07 Nov 2019 15:48
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/25823

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics