Optimal Sizing of Battery Energy Storage System in Commercial Buildings Utilizing Techno-economic Analysis

Document Type : Original Article

Authors

1 UM Power Energy Dedicated Advanced Centre (UMPEDAC), University of Malaya, Kuala Lumpur, Malaysia

2 Department of Mechanical Engineering, Technical and Vocational University (TVU), Tehran, Iran

3 Department of Mechanical Engineering, Babol Noshirvani University of Technology, Babol, Iran

4 Department of Computer Engineering, Lorestan University, Khorramabad, Iran

5 Faculty of Computer Science and Information System, Universiti Teknologi Malaysia

Abstract

Finding the correct battery size is important to the project's financial success. Many studies utilize complicated simulations to identify the optimal battery size. It is also difficult to reuse the outcomes of such optimization in other projects. In this paper, by introducing the factor β as the energy to power ratio, a simple techno-economic model is proposed to allow a quick evaluation of the feasibility of a building-integrated battery energy storage system (BI-BESS) and can apply to all commercial buildings that use the same tariff structure and is independent on the building load profile. Because the battery's energy and power are coupled, defining β allows both metrics to be addressed, resulting in high accuracy. For validating the results, the load profile from a commercial building based on Malaysia's tariff structure is used, and the optimal size of the battery is obtained from the proposed techno-economic model with the help of a Benefit-cost ratio (BCR) and simple iterative model for peak shaving. The results reveal that after finding the optimal BCR=1.08, the optimal battery size is achieved at 66.84 kWh. However, considering the market interests in the payback period, the economic feasibility of installing BESS is evaluated at BCR= 1.7, which is higher than our results. Hence, the impact of battery cost reduction is assessed.

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Main Subjects


  1. Hassan, F.A., "Multi-criteria approach and wind farm site selection analysis for improving power efficiency", Journal of Human, Earth, and Future, Vol. 1, No. 2, (2020), 60-70, doi: 10.28991/hef-2020-01-02-02.
  2. Hassan, F.A., Mahmoud, M. and Almohammed, O.A., "Analysis of the generated output energy by different types of wind turbines", Journal of Human, Earth, and Future, Vol. 1, No. 4, (2020), 181-187, doi: 10.28991/hef-2020-01-04-03.
  3. Jain, S., Khandelwal, P. and Agarwal, P., "Use of blockchain technology in energy banking and electricity markets", HighTech and Innovation Journal, Vol. 2, No. 3, (2021), 179-186, doi: 10.28991/hij-2021-02-03-03.
  4. Abbasi, M., Sharafi Miyab, M., Tousi, B. and Gharehpetian, G.B., "Using dynamic thermal rating and energy storage systems technologies simultaneously for optimal integration and utilization of renewable energy sources", International Journal of Engineering, Transations A: Basics, Vol. 33, No. 1, (2020), 92-104, doi: 10.5829/ije.2020.33.01a.11.
  5. Sagar, G. and Debela, T., "Implementation of optimal load balancing strategy for hybrid energy management system in dc/ac microgrid with pv and battery storage", International Journal of Engineering, Vol. 32, No. 10, (2019), 1437-1445, doi: 10.5829/ije.2019.32.10a.13.
  6. Kumar, A. and Biswas, A., "Techno-economic optimization of a stand-alone photovoltaic-battery renewable energy system for low load factor situation-a comparison between optimization algorithms", International Journal of Engineering, Transations A: Basics, Vol. 30, No. 10, (2017), 1555-1564, doi: 10.5829/ije.2017.30.10a.17.
  7. Lange, C., Rueß, A., Nuß, A., Öchsner, R. and März, M., "Dimensioning battery energy storage systems for peak shaving based on a real-time control algorithm", Applied Energy, Vol. 280, (2020), 115993, doi: 10.1016/j.apenergy.2020.115993.
  8. Chua, K.H., Lim, Y.S. and Morris, S., "Energy storage system for peak shaving", International Journal of Energy Sector Management, (2016), doi: 10.1108/IJESM-01-2015-0003.
  9. Englberger, S., Hesse, H., Kucevic, D. and Jossen, A., "A techno-economic analysis of vehicle-to-building: Battery degradation and efficiency analysis in the context of coordinated electric vehicle charging", Energies, Vol. 12, No. 5, (2019), 955, doi: 10.3390/en12050955.
  10. Martins, R., Hesse, H.C., Jungbauer, J., Vorbuchner, T. and Musilek, P., "Optimal component sizing for peak shaving in battery energy storage system for industrial applications", Energies, Vol. 11, No. 8, (2018), 2048, doi: 10.3390/en11082048.
  11. Abdullah, W.S.W., Osman, M., Ab Kadir, M.Z.A., Verayiah, R., Ab Aziz, N.F. and Rasheed, M.A., "Techno-economics analysis of battery energy storage system (bess) design for virtual power plant (vpp)–a case study in malaysia", Journal of Energy Storage, Vol. 38, (2021), 102568, doi: 10.1016/J.EST.2021.102568.
  12. Mirhoseini, P. and Ghaffarzadeh, N., "Economic battery sizing and power dispatch in a grid-connected charging station using convex method", Journal of Energy Storage, Vol. 31, (2020), 101651, doi: 10.1016/J.EST.2020.101651.
  13. de Mattos Affonso, C. and Kezunovic, M., "Technical and economic impact of pv-bess charging station on transformer life: A case study", IEEE Transactions on Smart Grid, Vol. 10, No. 4, (2018), 4683-4692, doi: 10.1109/TSG.2018.2866938.
  14. Uddin, M., Romlie, M., Abdullah, M., Tan, C., Shafiullah, G. and Bakar, A.H.A., "A novel peak shaving algorithm for islanded microgrid using battery energy storage system", Energy, Vol. 196, (2020), 117084, doi: 10.1016/j.energy.2020.117084.
  15. Tsai, C.-T., Ocampo, E.M., Beza, T.M. and Kuo, C.-C., "Techno-economic and sizing analysis of battery energy storage system for behind-the-meter application", IEEE Access, Vol. 8, (2020), 203734-203746, doi: 10.1109/ACCESS.2020.3036660.
  16. Cotter, T.S., "Engineering managerial economic decision and risk analysis: Economic decision-making and risk analysis, Springer Nature, (2021).
  17. Shively, G. and Galopin, M., "An overview of benefit-cost analysis", (2013).
  18. Kim, D.K., Yoneoka, S., Banatwala, A.Z. and Kim, Y.-T., "Handbook on battery energy storage system", Asian Development Bank: Manila, Philippines, (2018).
  19. Mongird, K., Viswanathan, V.V., Balducci, P.J., Alam, M.J.E., Fotedar, V., Koritarov, V.S. and Hadjerioua, B., Energy storage technology and cost characterization report. 2019, Pacific Northwest National Lab.(PNNL), Richland, WA (United States).
  20. Rosati, A., Facci, A.L. and Ubertini, S., "Techno-economic analysis of battery electricity storage towards self-sufficient buildings", Energy Conversion and Management, Vol. 256, (2022), 115313, doi: 10.1016/j.enconman.2022.115313.
  21. Yan, X., Zhang, X., Chen, H., Xu, Y. and Tan, C., "Techno-economic and social analysis of energy storage for commercial buildings", Energy Conversion and Management, Vol. 78, (2014), 125-136, doi: 10.1016/j.enconman.2013.10.014.
  22. Mayyas, A., Chadly, A.A., Khaleel, I. and Maalouf, M., "Techno-economic analysis of the li-ion batteries and reversible fuel cells as energy-storage systems used in green and energy-efficient buildings", Clean Energy, Vol. 5, No. 2, (2021), 273-287, doi: 10.1093/ce/zkab009.
  23. Cole, W., Frazier, A.W. and Augustine, C., Cost projections for utility-scale battery storage: 2021 update. 2021, National Renewable Energy Lab.(NREL), Golden, CO (United States).