TY - GEN
T1 - Sustainable building design based on glazing and location
T2 - 3rd International Conference on Energy, Power and Environment, ICEPE 2020
AU - Mathew, Veena
AU - Kurian, Ciji Pearl
AU - Babu, Aravind
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/3/5
Y1 - 2021/3/5
N2 - Energy consumption plays a substantial role in the design of a sustainable green building. This paper presents the energy simulations carried out for a test room with five different climates. This paper aims to study climate/location, glazing and window orientation on energy performance (Energy Use Intensity) on the building. The EUI data is further used to develop a theoretical model for the test building's annual energy consumption. Multiple linear and stepwise regression models were derived. The analysis shows that the EUI varies from 290 KW/m2/year in Kuala Lumpur to 330 KW/m2/year in Jodhpur. In all the climates double and triple glazing found to be with best energy performance. As the shading coefficient of the glazing decreases, EUI reduces. Also, among the various glazing parameters in regression models, the glazing's thermal gain has a higher impact on EUI. The estimated model can use for deriving the annual energy consumption of the test room for any location, window orientation and glazing. This analysis helps the architects/engineers to grab a better choice for glazing in different climatic regions.
AB - Energy consumption plays a substantial role in the design of a sustainable green building. This paper presents the energy simulations carried out for a test room with five different climates. This paper aims to study climate/location, glazing and window orientation on energy performance (Energy Use Intensity) on the building. The EUI data is further used to develop a theoretical model for the test building's annual energy consumption. Multiple linear and stepwise regression models were derived. The analysis shows that the EUI varies from 290 KW/m2/year in Kuala Lumpur to 330 KW/m2/year in Jodhpur. In all the climates double and triple glazing found to be with best energy performance. As the shading coefficient of the glazing decreases, EUI reduces. Also, among the various glazing parameters in regression models, the glazing's thermal gain has a higher impact on EUI. The estimated model can use for deriving the annual energy consumption of the test room for any location, window orientation and glazing. This analysis helps the architects/engineers to grab a better choice for glazing in different climatic regions.
UR - http://www.scopus.com/inward/record.url?scp=85105014121&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85105014121&partnerID=8YFLogxK
U2 - 10.1109/ICEPE50861.2021.9404404
DO - 10.1109/ICEPE50861.2021.9404404
M3 - Conference contribution
AN - SCOPUS:85105014121
T3 - 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies, ICEPE 2020
BT - 3rd International Conference on Energy, Power and Environment
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 5 March 2020 through 7 March 2020
ER -
