October 14, 2023
Conference Paper

Data-Driven Co-optimization of Energy Efficiency and Indoor Environmental Quality in Commercial Buildings

Abstract

In this paper, we use publicly available data of a highly instrumented building to estimate how zonal temperature and carbon dioxide (CO2) concentration are related to some key operational and environmental measurements. Subsequently, we have developed, simulated, and evaluated an optimization framework for minimizing the energy consumption of the central heating, ventilation and air conditioning (HVAC) unit while meeting zonal temperature and indoor air quality (IAQ) standards. Finally, we have evaluated the achievable energy savings for our proposed approach as compared to a baseline approach and reported significant savings potential.

Published: October 14, 2023

Citation

Naqvi S., V. Chandan, S. Bhattacharya, N. Luo, K. Kar, C. Sivaraman, and N. Radhakrishnan. 2023. Data-Driven Co-optimization of Energy Efficiency and Indoor Environmental Quality in Commercial Buildings. In e-Energy '23 Companion: Companion Proceedings of the 14th ACM International Conference on Future Energy Systems, June 20-23, 2023, Orlando, FL, 140–144. New York, New York:Association for Computing Machinery. PNNL-SA-183755. doi:10.1145/3599733.3600262