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|Title: ||Multi-dwelling refurbishment optimization: problem decomposition, solution and trade-off analysis|
|Authors: ||He, Miaomiao|
Brownlee, Alexander E.I.
Wright, Jonathan A.
|Issue Date: ||2015|
|Publisher: ||© International Building Performance Simulation Association (IBPSA)|
|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.|
|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
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.|
|Description: ||This is a conference paper.|
|Sponsor: ||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.
|Publisher Link: ||http://www.ibpsa.org/proceedings/BS2015/p2364.pdf|
|Appears in Collections:||Conference Papers and Presentations (Architecture, Building and Civil Engineering)|
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