Energy efficiency strategies, such as building insulation, improve the building performance without compromising comfort. This study presents a methodology for determining the optimal insulation thickness for external building surfaces. Our approach is based on a multi-objective optimization model that minimizes simultaneously the cost and environmental impact associated with both the energy consumption over the operational phase and the generation of the construction materials (including the waste produced during the disposal phase). The thermal loads of the cubicles were calculated with EnergyPlus, a widely used simulation program for buildings. The environmental impact was quantified following the life cycle assessment (LCA) methodology. Our approach was applied to a case study of a house-like cubicle located in Lleida (northeast Spain). Taking as a basis a standard cubicle without insulation, our approach identifies solutions that reduce around 40% both, the cost and environmental impact. Optimal solutions show also important economic and environmental improvements compared to cubicles constructed with the Spanish legislation requirements. Our method is intended to assist decision-makers in the design of buildings.
The authors would like to acknowledge financial support from the Spanish Government (ENE2011-28269-C03-03, ENE2011-22722, DPI2012-37154-C02-02, CTQ2012-37039-C02) and to thank the Catalan Government for the quality accreditation given to their research groups GREA (2014 SGR 123). The research leading to these results has received funding from the European Commission Seventh Framework Programme (FP/2007-2013) under grant agreement no. PIRSES-GA-2013-610692 (INNOSTORAGE).
English
Multi-objective optimization; Life cycle assessment (LCA); Modelling; Buildings
Elsevier
MICINN/PN2008-2011/ENE2011-28269-C03-03
MICINN/PN2008-2011/ENE2011-22722
MICINN/PN2008-2011/CTQ2012-37039-C02
Versió postprint del document publicat a https://doi.org/10.1016/j.enbuild.2014.12.007
Energy and Buildings, 2015, vol. 88, p. 335-346
info:eu-repo/grantAgreement/EC/FP7/610692
cc-by-nc-nd, (c) Elsevier, 2014
http://creativecommons.org/licenses/by-nc-nd/4.0/
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