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Comparative Analysis of Estimated and Actual Power Self-Sufficiency Rates in Energy-Sharing Communities with Solar Power Systems

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  • Dawon Kim

    (Department of Energy Resources Engineering, Pukyong National University, Busan 48513, Republic of Korea
    These authors contributed equally to this work.)

  • Yonghae Jang

    (Busan Eco Delta City Project Group, Korea Water Resource Corporation, Busan 46717, Republic of Korea
    These authors contributed equally to this work.)

  • Yosoon Choi

    (Department of Energy Resources Engineering, Pukyong National University, Busan 48513, Republic of Korea)

Abstract

Amid the ongoing climate crisis, the international community is enacting policies to promote low-carbon energy-sharing communities. The primary objective of such communities is to enhance community-level energy self-sufficiency. Accurate energy self-sufficiency assessments are paramount in planning energy-efficient architectural designs, urban landscapes, and communal environments. In this study, the energy self-sufficiency rate of an energy-sharing community was estimated at the design stage and compared with the actual energy self-sufficiency rate calculated based on data collected over the following year (April 2022 to March 2023). The outcomes reveal that the estimated energy self-sufficiency rate is 171%, whereas the realized rate is 133%, underscoring the disparity between the projections and outcomes. An analysis of the seasonal variations in these discrepancies elucidated a correlation between the differences in the insolation levels between standard typical meteorological year (TMY) data that are conventionally used for energy generation projections and the actual meteorological conditions. Moreover, a notable incongruity surface exists between the monthly average electricity consumption of a standard four-person household, as stipulated by the Korean Electric Power Corporation (KEPCO) at 273 kWh, and the empirical power consumption at 430 kWh, resulting in a variance of approximately 157 kWh. This study illuminates the complex relationship between variables affecting energy self-sufficiency in energy-sharing communities. It serves as a crucial step towards informed decision making and precision in sustainable urban energy solutions.

Suggested Citation

  • Dawon Kim & Yonghae Jang & Yosoon Choi, 2023. "Comparative Analysis of Estimated and Actual Power Self-Sufficiency Rates in Energy-Sharing Communities with Solar Power Systems," Energies, MDPI, vol. 16(24), pages 1-20, December.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:24:p:7941-:d:1295526
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    References listed on IDEAS

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    1. Hernández, J.C. & Sanchez-Sutil, F. & Muñoz-Rodríguez, F.J., 2019. "Design criteria for the optimal sizing of a hybrid energy storage system in PV household-prosumers to maximize self-consumption and self-sufficiency," Energy, Elsevier, vol. 186(C).
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