Many practical and multi-faceted decision problems may not be exactly identified in an uncertain environment due to a vague understanding of the system. Fuzzy goal programming is one of the most prominent optimization tools for complex energy planning problems. Green energy sources, which are alternative to fossil energy sources, are strongly favoured because of their sustainable, effective and reliable structures. However, it is necessary to develop optimal investment plans by analyzing and evaluating the existing green energy resources from a social, environmental and economic perspective. In this study, we propose a practical decision model-fuzzy goal programming approach- which combines the optimal allocation of green power plants to obtain social, environmental and economic components according to Turkey’s 2023 energy goals under the fuzzy environment. The proposed model makes strategically important decisions to meet long-term energy needs on the basis of multiple objectives.
CITATION STYLE
Ervural, B. C. (2021). A Fuzzy Goal Programming Model to Evaluate Green Energy Alternatives. In Advances in Intelligent Systems and Computing (Vol. 1197 AISC, pp. 1635–1643). Springer. https://doi.org/10.1007/978-3-030-51156-2_191
Mendeley helps you to discover research relevant for your work.