Paper Conference

Proceedings of Building Simulation 2017: 15th Conference of IBPSA

     

Analysis of Energy Savings and Peak Demand Reduction from Control Measures for Grocery Stores

Weimin Wang1, Yulong Xie2, Nick Fernandez2, Srinivas Katipamula2
1University of North Carolina at Charlotte, Charlotte NC 28223
2Pacific Northwest National Laboratory, Richland WA 99352


DOI: https://doi.org/10.26868/25222708.2017.656
Abstract: Grocery stores represent an energy-intensive building type that consumes about 5% of the total primary energy used by commercial buildings in the U.S. Many literature studies presented possible control strategies for grocery stores qualitatively or reported the measured savings from a specific case study. This paper presents a more systematic study to quantify the benefits of 15 energy efficiency (EE) measures and 4 demand response (DR) measures, most of which are applicable to many existing grocery stores. The baseline model is a hypothetical building with characteristics of grocery stores constructed in 1990s. Each EE measure was evaluated against the baseline according to its potential for energy savings, while each DR measure was evaluated according to its potential for reducing electricity consumption in critical peak pricing (CPP) periods. All measures were evaluated in five locations, namely Miami, Las Vegas, Seattle, Chicago and Duluth, to understand the impact of climate conditions on energy savings and power demand reduction. The results showed that shortened heating, ventilation and air conditioning (HVAC) operation schedules, demand-controlled ventilation, and widened thermostat deadbands are the top three measures for site energy savings. Floating head pressure and antisweat heater controls are the two measures that reduced annual electricity consumed by refrigeration systems by between 7% and 15% in all locations except Miami. Advanced refrigeration controls for DR reduced electricity consumption during the CPP periods by about 6% for all five locations, while the DR measures based on space airconditioning controls generated between 1% and 9% demand reduction, depending on locations and measures.
Pages: 2342 - 2350
Paper:
BS2017_656