TY - GEN
T1 - Distribution of potential savings from urban-scale energy modeling of a utility Building Simulation 2021 Conference
AU - New, Joshua R.
AU - Bass, Brett
AU - Berres, Anne S.
N1 - Publisher Copyright:
© International Building Performance Simulation Association, 2022
PY - 2022
Y1 - 2022
N2 - While urban-scale building energy modeling is growing increasingly mature in data sources, algorithms, and empirical validation, there is still a need for best practices, guidelines, and standards for industry-accepted decision metrics relevant to specific use cases. Case studies are needed to inform such efforts. In addition, successful applications are need to motivate investment by, and in partnership with, utilities to scale grid-interactive efficient building technologies, realize aspirations of smart homes and cities, and dynamically dispatch load (rather than generation) in a way that stabilizes and reduces the cost of critical energy infrastructure. In partnership with the Electric Power Board of Chattanooga, TN, OpenStudio and EnergyPlus models were created of over 178,000 buildings and empirically validated against 15-minute whole-building electrical consumption of each building. Eight energy and demand-related measures relevant to nine utility-defined use cases are evaluated in over 2 million simulations of individual buildings to showcase statistical distributions over the entire building stock of potential savings for energy and demand.
AB - While urban-scale building energy modeling is growing increasingly mature in data sources, algorithms, and empirical validation, there is still a need for best practices, guidelines, and standards for industry-accepted decision metrics relevant to specific use cases. Case studies are needed to inform such efforts. In addition, successful applications are need to motivate investment by, and in partnership with, utilities to scale grid-interactive efficient building technologies, realize aspirations of smart homes and cities, and dynamically dispatch load (rather than generation) in a way that stabilizes and reduces the cost of critical energy infrastructure. In partnership with the Electric Power Board of Chattanooga, TN, OpenStudio and EnergyPlus models were created of over 178,000 buildings and empirically validated against 15-minute whole-building electrical consumption of each building. Eight energy and demand-related measures relevant to nine utility-defined use cases are evaluated in over 2 million simulations of individual buildings to showcase statistical distributions over the entire building stock of potential savings for energy and demand.
UR - http://www.scopus.com/inward/record.url?scp=85144610136&partnerID=8YFLogxK
U2 - 10.26868/25222708.2021.30617
DO - 10.26868/25222708.2021.30617
M3 - Conference contribution
AN - SCOPUS:85144610136
T3 - Building Simulation Conference Proceedings
SP - 382
EP - 390
BT - BS 2021 - Proceedings of Building Simulation 2021
A2 - Saelens, Dirk
A2 - Laverge, Jelle
A2 - Boydens, Wim
A2 - Helsen, Lieve
PB - International Building Performance Simulation Association
T2 - 17th IBPSA Conference on Building Simulation, BS 2021
Y2 - 1 September 2021 through 3 September 2021
ER -
