APPLICATION OF DECISION-MAKING METHODS FOR SITUATION OF SOLAR POWER STATIONS IN UKRAINE
DOI:
https://doi.org/10.34185/1991-7848.itmm.2025.01.084Keywords:
analytical hierarchy method, TOPSIS method, solar energy, location of SPP, Python libraries.Abstract
The article considers the relevance of solar energy development in Ukraine in the context of climate change, energy security and post-war recovery. Particular attention is paid to the task of choosing the optimal location of solar power plants (SPP), taking into account natural, socio-economic and environmental factors. To substantiate the decisions, the use of multicriteria analysis methods - AHP and TOPSIS - is proposed. A comparison of these methods has been carried out in terms of their feasibility in spatial planning tasks. It has been determined that the TOPSIS method is effective when there are a large number of alternatives and quantitative data, while the AHP is appropriate at the stage of forming the structure of criteria. The article also presents modern tools for the software implementation of the selected methods in the Python environment, which allow automating the analysis and visualisation of results for making informed decisions in the field of sustainable energy development.
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