Optimization of Green Energy Alternatives Under Uncertainty

Abstract

Fuzzy goal programming is one of the most substantial optimization instruments for energy management decisions involving a large number of stakeholders from various fields. Green energy resources are among the new energy management strategies closely followed by the whole world. It is essential to give priority to renewable energy sources rather than fossils because of their many advantages. However, optimal investment plans should be developed by analyzing the technical–economic and environmental effects of existing green energy resources on society and by taking into account other prominent balances and authorities. In this study, we present a practical decision model-fuzzy goal programming approach- which combines the optimum distribution of green power plants to achieve a balance between energy consumption/production quantities smoothly and to provide sustainable development principles according to Turkey’s energy goals under the uncertain environment. In order to evaluate the stability of the model, a sensitivity analysis was performed to the model. We discuss the obtained results for the advancement of long-term green energy strategies that will guide urban planners and energy policy-makers to make strategically important decisions within a sustainable and green energy framework.