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Multi-dwelling refurbishment optimization: problem decomposition, solution and trade-off analysis

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conference contribution
posted on 2016-05-11, 13:10 authored by Candy He, Alexander E.I. Brownlee, Jonathan WrightJonathan Wright, Simon Taylor
A methodology has been developed for the multiobjective optimization of the refurbishment of domestic building stock on a regional scale. The approach is based on the decomposition of the problem into two stages: first to find the energy-cost trade-off for individual houses, and then to apply it tomultiple houses. The approach has been applied to 759 dwellings using buildings data from a survey of the UK housing stock. The energy use of each building and their refurbished variants were simulated using EnergyPlus using automatically-generated input files. The variation in the contributing refurbishment options from least to highest cost along the Pareto front shows loft and cavity wall insulation to be optimal intially, and solid wall insulation and double glazing appearing later.

Funding

This work was funded under UK EPSRC grant EP/I002154/1 (Self Conserving Urban Environments – SECURE). SECURE is a consortium of four UK universities: Newcastle, Sheffield, Exeter and Loughborough. Website: https://www.secureproject. org/

History

School

  • Architecture, Building and Civil Engineering

Published in

14th Conference of International Building Performance Simulation Association (BS2015) http://www.ibpsa.org/?page_id=619

Pages

2066 - 2072 (7)

Citation

HE, M. ... et al, 2016. Multi-dwelling refurbishment optimization: problem decomposition, solution and trade-off analysis. IN: Mathur, J. and Garg, V. (eds). Proceedings of the 14th International Conference of the International Building Performance Simulation Association (BS2015), 7th-9th December 2015, Hyderabad, India, pp. 2066 - 2072.

Publisher

© International Building Performance Simulation Association (IBPSA)

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

2015-09-03

Publication date

2015

Notes

This is a conference paper.

ISBN

9789352301188

Language

  • en

Location

Hyderabad, India

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