Show simple item record

dc.contributor.authorDurak, Tolgaen
dc.date.accessioned2017-04-06T15:44:11Zen
dc.date.available2017-04-06T15:44:11Zen
dc.date.issued2011-11-07en
dc.identifier.otheretd-11102011-154549en
dc.identifier.urihttp://hdl.handle.net/10919/77255en
dc.description.abstractThis research proposes to simplify the energy consumption assessment for residential homes while building the foundation towards the development of prediction tools that can achieve a credible level of accuracy for confident decision making. The energy consumption assessment is based on simplified energy consumption models. The energy consumption analysis uses a reduced number of energy model equations utilizing a critical, limited set of parameters. The results of the analysis are used to develop the minimum set of consumption influence parameters with predicted effects for each energy consumption domain. During this research study, multiple modeling approaches and occupancy scenarios were utilized according to climate conditions in Blacksburg, Virginia. As a part of the analysis process, a parameter study was conducted to: develop a comprehensive set of energy consumption influence parameters, identify the inter-relationships among parameters, determine the impact of energy consumption influence parameters in energy consumption models, and classify energy consumption influence parameters under identified energy consumption domains. Based on the results of the parameter study, a minimum set of parameters and energy consumption influence matrices were developed. This research suggests the minimum set of parameters with predicted effects to be used during the development of the simplified baseline energy consumption model.en
dc.language.isoen_USen
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectEnergy Efficiencyen
dc.subjectResidentialen
dc.subjectEnergy Modelen
dc.subjectParameter Analysisen
dc.titleA Framework for Simplified Residential Energy Consumption Assessment towards Developing Performance Prediction Models for Retrofit Decision-Makingen
dc.typeDissertationen
dc.contributor.departmentEnvironmental Design and Planningen
dc.description.degreePh. D.en
thesis.degree.namePh. D.en
thesis.degree.leveldoctoralen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.disciplineEnvironmental Design and Planningen
dc.contributor.committeechairReichard, Georgen
dc.contributor.committeememberBeliveau, Yvan J.en
dc.contributor.committeememberPearce, Annie R.en
dc.contributor.committeememberFiori, Christine M.en
dc.type.dcmitypeTexten
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-11102011-154549/en
dc.date.sdate2011-11-10en
dc.date.rdate2016-09-27en
dc.date.adate2011-11-15en


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record