Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | BS 2021 - Proceedings of Building Simulation 2021 |
| Subtitle of host publication | 17th Conference of IBPSA |
| Editors | Dirk Saelens, Jelle Laverge, Wim Boydens, Lieve Helsen |
| Publisher | International Building Performance Simulation Association |
| Pages | 382-390 |
| Number of pages | 9 |
| ISBN (Electronic) | 9781775052029 |
| DOIs | |
| State | Published - 2022 |
| Event | 17th IBPSA Conference on Building Simulation, BS 2021 - Bruges, Belgium Duration: Sep 1 2021 → Sep 3 2021 |
Publication series
| Name | Building Simulation Conference Proceedings |
|---|---|
| ISSN (Print) | 2522-2708 |
Conference
| Conference | 17th IBPSA Conference on Building Simulation, BS 2021 |
|---|---|
| Country/Territory | Belgium |
| City | Bruges |
| Period | 09/1/21 → 09/3/21 |
Funding
This work was funded by field work proposal CEBT105 under US Department of Energy Building Technology Office Activity Number BT0305000, as well as Office of Electricity Activity Number TE1103000. The authors would like to thank Amir Roth and Madeline Salzman for their support and review of this project. The authors would also like to thank Mark Adams for his contributions to the AutoBEM software for model generation, and Jibonananda Sanyal for AutoSIM contributions for scalable simulation. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). This work was funded by field work proposal CEBT105 under US Department of Energy Building Technology Office Activity Number BT0305000, as well as Office of Electricity Activity Number TE1103000. The authors would like to thank Amir Roth and Madeline Salzman for their support and review of this project. The authors would also like to thank Mark Adams for his contributions to the AutoBEM software for model generation, and Jibo-nananda Sanyal for AutoSIM contributions for scalable simulation.