TY - GEN
T1 - Optimizing Battery Energy Storage and Solar Photovoltaic Systems for Commercial Buildings in Malaysia
T2 - 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
AU - Hossain, Jahangir
AU - Shareef, Hussain
AU - Hossain, Md Alamgir
AU - Manojkumar, Rampelli
AU - Abdullah, Qazwan
AU - Al-Masoodi, Ahmed H.H.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In this study, a combination of a battery energy storage (BES) and a solar photovoltaic (PV) system is proposed to reduce peak demand and energy costs in a commercial building in Malaysia. The sizing of the BES and PV systems is found optimally by considering the net present cost of both systems and energy cost over a 20-year lifespan. Data on solar irradiance, ambient temperature, load patterns, Malaysian power rates, and grid export limitations are used to determine the optimal sizes of the BES and PV systems. The case study indicates that optimal BES and PV systems reduce the energy cost by 17.81% and decrease annual energy consumption by 19.57% and peak demand by 11.72%. 11,449 kWh of energy is exported to the grid. The study provides a general method for commercial building owners in Malaysia to find the BES and PV system sizes optimally. The results are validated and tested using MATLAB.
AB - In this study, a combination of a battery energy storage (BES) and a solar photovoltaic (PV) system is proposed to reduce peak demand and energy costs in a commercial building in Malaysia. The sizing of the BES and PV systems is found optimally by considering the net present cost of both systems and energy cost over a 20-year lifespan. Data on solar irradiance, ambient temperature, load patterns, Malaysian power rates, and grid export limitations are used to determine the optimal sizes of the BES and PV systems. The case study indicates that optimal BES and PV systems reduce the energy cost by 17.81% and decrease annual energy consumption by 19.57% and peak demand by 11.72%. 11,449 kWh of energy is exported to the grid. The study provides a general method for commercial building owners in Malaysia to find the BES and PV system sizes optimally. The results are validated and tested using MATLAB.
KW - Energy management system
KW - Energy storage management
KW - Grid-connected commercial buildings
KW - Rooftop photovoltaic
UR - http://www.scopus.com/inward/record.url?scp=85185790900&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85185790900&partnerID=8YFLogxK
U2 - 10.1109/ETFG55873.2023.10408468
DO - 10.1109/ETFG55873.2023.10408468
M3 - Conference contribution
AN - SCOPUS:85185790900
T3 - 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
BT - 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 3 December 2023 through 6 December 2023
ER -