Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/23397
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Authors: He, Miaomiao
Brownlee, Alexander
Wright, Jonathan A
Taylor, Simon
Contact Email: ab90@cs.stir.ac.uk
Title: Multi-dwelling Refurbishment Optimization: Problem Decomposition, Solution, and Trade-off Analysis
Citation: He M, Brownlee A, Wright JA & Taylor S (2015) Multi-dwelling Refurbishment Optimization: Problem Decomposition, Solution, and Trade-off Analysis In: Proceedings of BS2015: 14th Conference of International Building Performance Simulation Association, Hyderabad, India, Dec. 7-9, 2015, International Building Performance Simulation Association (IBPSA). 4th International Conference of the International Building Performance Simulation Association (BS2015), 7.12.2015 - 9.12.2015, Hyderabad, India, pp. 2066-2072.
Issue Date: Dec-2015
Conference Name: 4th International Conference of the International Building Performance Simulation Association (BS2015)
Conference Dates: 2015-12-07T00:00:00Z
Conference Location: Hyderabad, India
Abstract: 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.
Type: Conference Paper
Status: Publisher version (final published refereed version)
Rights: Copyright International Building Performance Simulation Association (IBPSA) 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/
URI: http://hdl.handle.net/1893/23397
URL: http://www.ibpsa.org/proceedings/BS2015/p2364.pdf
Affiliation: Loughborough University
Computing Science - CSM Dept
Loughborough University
Loughborough University

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