A Statistical Analysis of the Economic Drivers of Battery Energy Storage in Commercial Buildings
There is significant interest in using battery energy storage systems (BESS) to reduce peak demand charges, and therefore the life cycle cost of electricity, in commercial buildings. This paper explores the drivers of economic viability of BESS in commercial buildings through statistical analysis. A sample population of buildings was generated, a techno-economic optimization model was used to size and dispatch the BESS, and the resulting optimal BESS sizes were analyzed for relevant predictor variables. Explanatory regression analyses were used to demonstrate that peak demand charges are the most significant predictor of an economically viable battery, and that the shape of the load profile is the most significant predictor of the size of the battery.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Science Undergraduate Laboratory Internships
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1342084
- Report Number(s):
- NREL/CP-7A40-67830
- Resource Relation:
- Conference: Presented at the 2016 North American Power Symposium (NAPS), 18-20 September 2016, Denver, Colorado
- Country of Publication:
- United States
- Language:
- English
Similar Records
Integration of Real-Time Building Data into Economic Dispatch of Dynamically Electrified Building Steam Systems
Feasibility assessment of customer-side-of-the-meter applications for battery energy storage