TY - GEN
T1 - Quantification of Peak Demand Reduction Potential in Commercial Buildings due to HVAC Set Point and Brightness Adjustment
AU - Usman, Muhammad Usama
AU - Haque, Ashraful
AU - Sikder, Md Nazmul Kabir
AU - Cai, Mengmeng
AU - Bradley, Saifur Rahman
AU - Pandey, Shikhar
AU - Kliros, Chris
AU - Zhang, Liuxi
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Quantification of peak demand reduction potential of buildings is critical for demand response (DR) analysis in a microgrid (MG) environment. Due to the varying nature of electricity consumption throughout the day over different seasons, DR periods affect the energy savings and peak demand reduction potentials of a building in different ways. This paper investigates peak reduction potential of selected commercial buildings within a MG environment through HVAC set point and brightness adjustment. Building models are simulated in EnergyPlus and validated against monthly, daily and 30-minute building electrical consumption with the actual consumption from the smart meter data. The study is conducted over two different DR periods for a winter and a summer week to understand how time of the day and different weather conditions influence building peak demand. Results show that with the proper choice of the DR period along with the set point and the brightness adjustments, significant hourly peak demand reduction can be achieved for different types of commercial buildings.
AB - Quantification of peak demand reduction potential of buildings is critical for demand response (DR) analysis in a microgrid (MG) environment. Due to the varying nature of electricity consumption throughout the day over different seasons, DR periods affect the energy savings and peak demand reduction potentials of a building in different ways. This paper investigates peak reduction potential of selected commercial buildings within a MG environment through HVAC set point and brightness adjustment. Building models are simulated in EnergyPlus and validated against monthly, daily and 30-minute building electrical consumption with the actual consumption from the smart meter data. The study is conducted over two different DR periods for a winter and a summer week to understand how time of the day and different weather conditions influence building peak demand. Results show that with the proper choice of the DR period along with the set point and the brightness adjustments, significant hourly peak demand reduction can be achieved for different types of commercial buildings.
KW - Demand response
KW - Ener-gyPlus
KW - HVAC
KW - brightness adjustment
KW - peak load reduction
UR - https://www.scopus.com/pages/publications/85124148253
U2 - 10.1109/PESGM46819.2021.9638053
DO - 10.1109/PESGM46819.2021.9638053
M3 - Conference contribution
AN - SCOPUS:85124148253
T3 - IEEE Power and Energy Society General Meeting
BT - 2021 IEEE Power and Energy Society General Meeting, PESGM 2021
PB - IEEE Computer Society
T2 - 2021 IEEE Power and Energy Society General Meeting, PESGM 2021
Y2 - 26 July 2021 through 29 July 2021
ER -