Optimizing Battery Energy Storage and Solar Photovoltaic Systems for Commercial Buildings in Malaysia: A Case Study

Jahangir Hossain; Hussain Shareef; Md Alamgir Hossain; Rampelli Manojkumar; Qazwan Abdullah; Ahmed H.H. Al-Masoodi

doi:10.1109/ETFG55873.2023.10408468

Optimizing Battery Energy Storage and Solar Photovoltaic Systems for Commercial Buildings in Malaysia: A Case Study

Jahangir Hossain
, Hussain Shareef
, Md Alamgir Hossain
, Rampelli Manojkumar
, Qazwan Abdullah
, Ahmed H.H. Al-Masoodi

Department of Electrical and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665471640
DOIs	https://doi.org/10.1109/ETFG55873.2023.10408468
Publication status	Published - 2023
Event	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 - Wollongong, Australia Duration: Dec 3 2023 → Dec 6 2023

Publication series

Name	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

Conference

Conference	2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
Country/Territory	Australia
City	Wollongong
Period	12/3/23 → 12/6/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Energy management system
Energy storage management
Grid-connected commercial buildings
Rooftop photovoltaic

ASJC Scopus subject areas

Artificial Intelligence
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Control and Optimization
Safety, Risk, Reliability and Quality

Access to Document

10.1109/ETFG55873.2023.10408468

Cite this

Hossain, J., Shareef, H., Hossain, M. A., Manojkumar, R., Abdullah, Q., & Al-Masoodi, A. H. H. (2023). Optimizing Battery Energy Storage and Solar Photovoltaic Systems for Commercial Buildings in Malaysia: A Case Study. In 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023 (2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETFG55873.2023.10408468

Optimizing Battery Energy Storage and Solar Photovoltaic Systems for Commercial Buildings in Malaysia: A Case Study. / Hossain, Jahangir; Shareef, Hussain; Hossain, Md Alamgir et al.
2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hossain, J, Shareef, H, Hossain, MA, Manojkumar, R, Abdullah, Q & Al-Masoodi, AHH 2023, Optimizing Battery Energy Storage and Solar Photovoltaic Systems for Commercial Buildings in Malaysia: A Case Study. in 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023. 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023, Wollongong, Australia, 12/3/23. https://doi.org/10.1109/ETFG55873.2023.10408468

Hossain J, Shareef H, Hossain MA, Manojkumar R, Abdullah Q, Al-Masoodi AHH. Optimizing Battery Energy Storage and Solar Photovoltaic Systems for Commercial Buildings in Malaysia: A Case Study. In 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023). doi: 10.1109/ETFG55873.2023.10408468

Hossain, Jahangir ; Shareef, Hussain ; Hossain, Md Alamgir et al. / Optimizing Battery Energy Storage and Solar Photovoltaic Systems for Commercial Buildings in Malaysia : A Case Study. 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023).

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abstract = "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.",

keywords = "Energy management system, Energy storage management, Grid-connected commercial buildings, Rooftop photovoltaic",

author = "Jahangir Hossain and Hussain Shareef and Hossain, \{Md Alamgir\} and Rampelli Manojkumar and Qazwan Abdullah and Al-Masoodi, \{Ahmed H.H.\}",

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AU - Abdullah, Qazwan

AU - Al-Masoodi, Ahmed H.H.

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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

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AN - SCOPUS:85185790900

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ER -

Optimizing Battery Energy Storage and Solar Photovoltaic Systems for Commercial Buildings in Malaysia: A Case Study

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this