Solar and battery sizing for maximum savings implementation in Malaysia's buildings

Marian Yeow Chee Yen, Wen Shan Tan, Weng Leong Ng, Yuan Kang Wu

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

1 Citation (Scopus)


In the wake of global warming,the need to speed up the adoption of renewable energy is crucial. However,due to the absence of awareness of the financial benefits of a solar photovoltaic or energy storage investment,there is slow adoption of solar energy generation in Malaysia despite its yearlong sunny weather. As such,this paper focuses on the development of an optimization algorithm that can determine the optimum size of solar panels or energy storage systems coupled with optimal battery scheduling according to a load profile,for maximum bill savings. Mixed-integer linear programming models were developed on MATLAB and tested on a load curve taken from a rubber molding industry. Models were also validated using analytical methods to find the optimal size which provides most bill savings in the least number of years. In summary,the optimal sizing algorithm designed has proven to be effective in determining optimum sizes for solar,battery or both,complemented by battery charging and discharging schedule for maximum savings and minimum payback years.

Original languageEnglish
Title of host publication2021 IEEE International Future Energy Electronics Conference, IFEEC 2021
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)9781665434485
ISBN (Print)9781665434492
Publication statusPublished - 2021
EventInternational Future Energy Electronics Conference (IFEEC) 2021 - Taipei, Taiwan
Duration: 16 Nov 202119 Nov 2021 (Proceedings)


ConferenceInternational Future Energy Electronics Conference (IFEEC) 2021
Abbreviated titleIFEEC 2021
Internet address


  • battery
  • mixed-integer linear programming
  • optimization
  • renewable energy
  • sizing
  • solar

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