TY - GEN
T1 - Preliminary findings from an analysis of lighting energy use of office building in Korea
AU - Kim, Sung Im
AU - Kang, Jin Gyeong
AU - Jin, Hye Sun
AU - Choi, Bo Hye
AU - Lim, Jae Han
AU - Song, Seung Yeong
AU - Yang, In Ho
N1 - Publisher Copyright:
© 2016. The Authors.
PY - 2015
Y1 - 2015
N2 - In Korea, energy consumption information for existing building is provided to primary energy consumption by fuel types (electric, gas, and district heating) from energy service utilities. To be more effective building energy management nationally, it should be to manage building energy consumption by end use. For this, it is the best approach to collect direct end-use metering data for all buildings but in practically very difficult because of expense and long time. Moreover, it is not appropriate only the application of the building energy simulation based on model to derive energy consumption by end use due to error with energy consumption of actual building. Therefore LBNL has been developed algorithm to estimate energy end use since 1980, the results are EnergyIQ based on web service. The final goal of this research is to develop algorithm to estimate energy end use with real state of Korea, so by selecting the reference buildings to meet the statistical significance level, it is necessary to collect on-site metered data. In this study, the end-use sub-metering of office building in Seoul is ongoing hourly into cooling, heating, ventilation, domestic hot water, lighting, office equipment, elevator, miscellaneous since 1 March 2015. Weather conditions are not a crucial factor for lighting energy consumption in existing office building. So based on this sub-metering data, first we carried out an analysis of lighting energy use profile to utilize basic data in lighting energy consumption estimation.
AB - In Korea, energy consumption information for existing building is provided to primary energy consumption by fuel types (electric, gas, and district heating) from energy service utilities. To be more effective building energy management nationally, it should be to manage building energy consumption by end use. For this, it is the best approach to collect direct end-use metering data for all buildings but in practically very difficult because of expense and long time. Moreover, it is not appropriate only the application of the building energy simulation based on model to derive energy consumption by end use due to error with energy consumption of actual building. Therefore LBNL has been developed algorithm to estimate energy end use since 1980, the results are EnergyIQ based on web service. The final goal of this research is to develop algorithm to estimate energy end use with real state of Korea, so by selecting the reference buildings to meet the statistical significance level, it is necessary to collect on-site metered data. In this study, the end-use sub-metering of office building in Seoul is ongoing hourly into cooling, heating, ventilation, domestic hot water, lighting, office equipment, elevator, miscellaneous since 1 March 2015. Weather conditions are not a crucial factor for lighting energy consumption in existing office building. So based on this sub-metering data, first we carried out an analysis of lighting energy use profile to utilize basic data in lighting energy consumption estimation.
KW - End-use sub-metering
KW - Estimation of energy end-use consumption
KW - Lighting energy use
KW - Office building
UR - http://www.scopus.com/inward/record.url?scp=85016967763&partnerID=8YFLogxK
U2 - 10.18086/swc.2015.08.13
DO - 10.18086/swc.2015.08.13
M3 - Conference contribution
AN - SCOPUS:85016967763
T3 - ISES Solar World Congress 2015, Conference Proceedings
SP - 107
EP - 115
BT - ISES Solar World Congress 2015, Conference Proceedings
A2 - Renne, David
A2 - Seo, Taebeom
A2 - Romero, Manuel
PB - International Solar Energy Society
T2 - International Solar Energy Society, ISES Solar World Congress 2015, SWC 2015
Y2 - 8 November 2015 through 12 November 2015
ER -