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Seasonal Analysis and Capacity Planning of Solar Energy Demand-to-Supply Management: Case Study of a Logistics Distribution Center

Author

Listed:
  • Akihiko Takada

    (Department of Informatics, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu 182-8585, Tokyo, Japan)

  • Hiromasa Ijuin

    (Department of Industrial and Systems Engineering, Tokyo University of Science, 2641 Yamazaki, Noda 278-8510, Chiba, Japan)

  • Masayuki Matsui

    (Department of Informatics, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu 182-8585, Tokyo, Japan
    Department of Industrial Engineering and Management, Engineering Research Institute, Kanagawa University, 3-27-1 Rokkakubashi, Yokohama 221-8686, Kanagawa, Japan)

  • Tetsuo Yamada

    (Department of Informatics, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu 182-8585, Tokyo, Japan)

Abstract

In recent years, global warming and environmental problems have become more serious due to greenhouse gas (GHG) emissions. Harvesting solar energy for production and logistic activities in supply chains, including factories and distribution centers, has been promoted as an effective means to reduce GHG emissions. However, it is difficult to balance the supply and demand of solar energy, owing to its intermittent nature, i.e., the output depends on the daylight and season. Moreover, the use of large-capacity solar power generation systems and batteries incurs higher installation costs. In order to maintain low costs, demand-to-supply management of solar energy, based on appropriate seasonal analysis of power generation and consumption and the capacity planning for power generation and the storage battery, is necessary. In this study, the on-demand cumulative control method is applied to actual power consumption data and solar power generation data estimated at a distribution center. Moreover, the monthly, seasonal, and temporal characteristics of power generation and consumption at the distribution center are analyzed. Additionally, the total amount of power purchased is investigated for solar energy demand-to-supply management.

Suggested Citation

  • Akihiko Takada & Hiromasa Ijuin & Masayuki Matsui & Tetsuo Yamada, 2023. "Seasonal Analysis and Capacity Planning of Solar Energy Demand-to-Supply Management: Case Study of a Logistics Distribution Center," Energies, MDPI, vol. 17(1), pages 1-23, December.
    • Handle: RePEc:gam:jeners:v:17:y:2023:i:1:p:191-:d:1309914
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    References listed on IDEAS

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    1. Gelchu, Milky Ali & Ehnberg, Jimmy & Shiferaw, Dereje & Ahlgren, Erik O., 2023. "Impact of demand-side management on the sizing of autonomous solar PV-based mini-grids," Energy, Elsevier, vol. 278(PA).
    2. Pham, An & Jin, Tongdan & Novoa, Clara & Qin, Jin, 2019. "A multi-site production and microgrid planning model for net-zero energy operations," International Journal of Production Economics, Elsevier, vol. 218(C), pages 260-274.
    3. Romero-Ramos, J.A. & Gil, J.D. & Cardemil, J.M. & Escobar, R.A. & Arias, I. & Pérez-García, M., 2023. "A GIS-AHP approach for determining the potential of solar energy to meet the thermal demand in southeastern Spain productive enclaves," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).
    4. Rentizelas, Athanasios A. & Tolis, Athanasios I. & Tatsiopoulos, Ilias P., 2012. "Investment planning in electricity production under CO2 price uncertainty," International Journal of Production Economics, Elsevier, vol. 140(2), pages 622-629.
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