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Using spatial elimination and ranking methods in the renewable energy investment parcel search process

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  • Bobrowski, Jakub
  • Łaska, Grażyna

Abstract

The study presents a framework for an elimination algorithm aimed at determining potential investment locations for photovoltaic farms in three separate counties located in northeastern Poland. The research focuses on identifying environmental and economic criteria for solar farm locations, establishing boundary values, and discussing the outcomes of multi-criteria decision support using the Boolean method and Borda ranking methods. Through the amalgamation of the elimination algorithm and a multi-criteria decision-making model, ten different location variants were derived, ranging from the best (Variant 1) to the worst (Variant 10), out of a total of 1024 variants. The results highlight five critical criteria that persisted after the elimination algorithm: distance from medium voltage lines, distance from roads, parcel shape, average parcel width, and average slope. The analysis revealed that the analysed counties have between 150 and 1336 optimal locations (depending on the analysed area) that satisfy all the specified conditions. This method, which enables the swift and reproducible identification of suitable areas for photovoltaic farm construction, can be applied in various European regions.

Suggested Citation

  • Bobrowski, Jakub & Łaska, Grażyna, 2023. "Using spatial elimination and ranking methods in the renewable energy investment parcel search process," Energy, Elsevier, vol. 285(C).
    • Handle: RePEc:eee:energy:v:285:y:2023:i:c:s0360544223029110
    DOI: 10.1016/j.energy.2023.129517
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