A Morphology-based Model for Forecasting Cooling Energy Demand of Condominium Buildings in Sri Lanka

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aut.relation.conferenceARCOM Conferenceen_NZ
aut.relation.endpage298
aut.relation.pages10
aut.relation.startpage289
aut.researcherRotimi, James
dc.contributor.authorGeekiyanage, Den_NZ
dc.contributor.authorRamachandra, Ten_NZ
dc.contributor.authorRotimi, JOBen_NZ
dc.contributor.editorChan, PWen_NZ
dc.contributor.editorNeilson, CJen_NZ
dc.date.accessioned2017-09-14T03:25:52Z
dc.date.available2017-09-14T03:25:52Z
dc.date.copyright2017en_NZ
dc.date.issued2017en_NZ
dc.description.abstractBuilding morphology has significant influence on operational energy demand of buildings. Energy consumption for space cooling accounts for more than 75% of electricity use in typical condominium buildings. With increase in the number of condominiums in Sri Lanka, the requirement for space cooling has increased resulting in significant energy demands. Accordingly, this study developed a morphology-based model for forecasting cooling energy demand of condominiums. The study employed a quantitative approach involving questionnaire survey and document review to collect data from thirty (30) condominiums in Sri Lanka. The correlation analysis performed on the data collected indicates that the number of floors (0.940), building height (0.930), building shape (-0.686), grouping of buildings (-0.647) window-to-wall-ration (0.597), gross internal floor area (0.489), and wall-to-floor-ratio (-0.457) have significant correlations with the cooling energy demand of condominiums in Sri Lanka. A multiple linear regression model developed shows that the number of floors and window-to-wall-ration account for 91.2% accuracy of the cooling energy estimation for condominiums in Sri Lanka. Thus, using the developed model, the annual cooling energy demand of a condominium can be forecast, considering significant design factors that could inform decisions at the building design and construction stage to ensure energy efficient designs.
dc.identifier.citationProceeding of the 33rd Annual ARCOM Conference. 4-6 September 2017, Cambridge, UK. pp/ 289-298.
dc.identifier.isbn978-0-9955463-1-8en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/10797
dc.publisherThe Association of Researchers in Construction Management (ARCOM)
dc.relation.urihttp://www.arcom.ac.uk/conf-next_2017.php
dc.rightsAll authors of papers published in the ARCOM Conferences retain the right to re-publish their work in any format without the need for further permission from ARCOM. This includes depositing the final published pdf version of papers on Universities' Institutional Repositories.
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectBuilding morphology; Condominiums; Cooling energy; Sri Lanka
dc.titleA Morphology-based Model for Forecasting Cooling Energy Demand of Condominium Buildings in Sri Lankaen_NZ
dc.typeConference Contribution
pubs.elements-id309724
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
pubs.organisational-data/AUT/Design & Creative Technologies/Engineering, Computer & Mathematical Sciences
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies/PBRF ECMS
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