May 1, 2024
Conference Paper

Building-to-Grid Modeling Framework with a Case Study of Battery Systems


Coordinating electricity load shifting operations of multiple buildings has the potential to achieve significant benefits for both building owners and grid operation. In support of this research, this paper develops a novel building-to-grid modeling framework, which uses EnergyPlus to develop physics-based building energy models and GridLAB-D to develop distribution-level grid models. The data exchanges between buildings and distribution-level grid are conducted using Python script and HELICS co-simulation platform. Then, by using this modeling framework, this paper conducts a case study of battery systems in a connected community, which consists of 10 multi-family buildings with appropriately sized batteries. The three scenarios, baseline operation, tolerant to price fluctuations, and opportune usage, are studied. The result displays that, by adopting onsite batteries, both electricity costs for building owners and aggregated peak power demands are reduced.

Published: May 1, 2024


Waltz N.J., C.A. Faulkner, Y. Ye, X. Lei, and E.T. Brock. 2023. Building-to-Grid Modeling Framework with a Case Study of Battery Systems. In Building Simulation Conference Proceedings: 18th IBPSA Conference on Building Simulation (BS 2023), September 4-6, 2023, Shanghai, China, 2491-2497. Piscataway, New Jersey:IEEE. PNNL-SA-183386. doi:10.26868/25222708.2023.1274

Research topics