TY - GEN
T1 - Utilizing measured energy usage to analyze design phase energy models
AU - Saunders, Christi L.
AU - Landis, Amy E.
AU - Jones, Alex K.
AU - Schaefer, Laura A.
AU - Bilec, Melissa M.
PY - 2012/9/19
Y1 - 2012/9/19
N2 - Energy modeling has become widely utilized in the design process of buildings due to rating programs such as Leadership in Energy and Environmental Design (LEED), which require the use of modeling programs to evaluate potential energy efficiency. The accuracy of these models, however, has been under much scrutiny. Some LEED buildings have even been documented as consuming more energy than conventional buildings. If building energy cannot be accurately predicted, then the efficacy of energy modeling will be in question and broader implications, including the value of LEED, may become pervasive. This research analyzes the results of design phase energy models with respect to actual energy usage. Energy data was collected for 16 months in the case study building, a Solar House. The measured data was compared with results from three different energy models - Green Building Studio, Energy-10, and EnergyPlus. The average error rate between the measured and predicted energy usage was 59%. Discrepancies between the models and actual data included occupant activities and system efficiencies.
AB - Energy modeling has become widely utilized in the design process of buildings due to rating programs such as Leadership in Energy and Environmental Design (LEED), which require the use of modeling programs to evaluate potential energy efficiency. The accuracy of these models, however, has been under much scrutiny. Some LEED buildings have even been documented as consuming more energy than conventional buildings. If building energy cannot be accurately predicted, then the efficacy of energy modeling will be in question and broader implications, including the value of LEED, may become pervasive. This research analyzes the results of design phase energy models with respect to actual energy usage. Energy data was collected for 16 months in the case study building, a Solar House. The measured data was compared with results from three different energy models - Green Building Studio, Energy-10, and EnergyPlus. The average error rate between the measured and predicted energy usage was 59%. Discrepancies between the models and actual data included occupant activities and system efficiencies.
KW - Buildings
KW - Energy Models
KW - Energy Use
KW - LEED
UR - http://www.scopus.com/inward/record.url?scp=84866241162&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84866241162&partnerID=8YFLogxK
U2 - 10.1109/ISSST.2012.6227982
DO - 10.1109/ISSST.2012.6227982
M3 - Conference contribution
AN - SCOPUS:84866241162
SN - 9781467320047
T3 - IEEE International Symposium on Sustainable Systems and Technology
BT - 2012 IEEE International Symposium on Sustainable Systems and Technology, ISSST 2012
T2 - 2012 IEEE International Symposium on Sustainable Systems and Technology, ISSST 2012
Y2 - 16 May 2012 through 18 May 2012
ER -