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dc.contributor.authorHernández Sánchez, Juan Manuel
dc.contributor.authorRoca Ramon, Xavier
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de la Construcció
dc.date.accessioned2012-11-19T14:50:46Z
dc.date.created2012
dc.date.issued2012
dc.identifier.citationHernandez-Sanchez, J.M.; Roca, X. Energy and sensitivity analysis of Spanish dwelling stock. A: European Conference on Product and Process Modelling. "eWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the European Conference on Product and Process Modelling 2012". 2012, p. 81-88.
dc.identifier.isbn978-041562128-1
dc.identifier.urihttp://hdl.handle.net/2117/16949
dc.description.abstractThe main aim of this paper is to know how household and dwelling related independent variables affect dependent variables: energy consumption and expenditure on energy. It is also an aim to know how energy prices and income levels affect energy consumption. Therefore, sensitivity analyses of both variables have been performed. Finally, energy price sensitivity is used to predict energy consumption for the Spanish dwelling stock in 2030. Data are extracted from the household budget survey for the period 2006 to 2010, with a sample size of around 24 000 households per year. The independent variables which have a greater effect size on the dependent variables are: energy source for heating, type of household, useful floor area, size of municipality, type of residential area, type of tenure and monthly level of net household income. Energy consumption is sensitive to energy prices, and each energy source has a different degree of sensitivity. If the price per kWh were raised one euro cent, this would result in an increase of 6.9% in electricity and decreases of 6.5% in natural gas, 5.5% in liquefied gas and 15.5% in other liquid fuels. The significant increase in electricity consumption in recent years masks its real sensitivity to its price. Reduction of income would result in a reduction of energy consumption. If income were reduced by 10%, energy consumption would fall by 3.5%. Based on predicted energy prices by 2030 and on energy price sensitivity, electricity consumption will increase by 26% and natural gas, liquefied gas and other liquid fuels consumptions will reduce by 38.4%, 23.4% and 59.8%, respectively
dc.format.extent8 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Edificació::Impacte ambiental
dc.subjectÀrees temàtiques de la UPC::Energies::Gestió de l'energia::Demanda i consum energètics
dc.subject.lcshDwellings -- Energy consumption -- Spain
dc.subject.otherDegree of sensitivity
dc.subject.otherDependent variables
dc.subject.otherEffect size
dc.subject.otherElectricity-consumption
dc.subject.otherEnergy prices
dc.subject.otherEnergy source
dc.subject.otherFloor areas
dc.subject.otherHousehold income
dc.subject.otherIncome levels
dc.subject.otherIndependent variables
dc.subject.otherResidential areas
dc.subject.otherSample sizes
dc.titleEnergy and sensitivity analysis of Spanish dwelling stock
dc.typeConference report
dc.subject.lemacHabitatges -- Consum d'energia -- Espanya
dc.contributor.groupUniversitat Politècnica de Catalunya. GRIC - Grup de Recerca i Innovació de la Construcció
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://cataleg.upc.edu/record=b1218329~S1*cat
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac10770983
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorHernandez-Sanchez, J.M.; Roca, X.
local.citation.contributorEuropean Conference on Product and Process Modelling
local.citation.publicationNameeWork and eBusiness in Architecture, Engineering and Construction - Proceedings of the European Conference on Product and Process Modelling 2012
local.citation.startingPage81
local.citation.endingPage88


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