Analysis of policy scenarios for achieving renewable energy sources targets: A fuzzy TOPSIS approach

Abstract

The growing need to tackle climate change and mitigate greenhouse gas emissions has led to strong interest in renewable energy sources and the setting of specific renewable energy sources targets in countries and regions within Europe. Recent political discussions have mainly revolved around the question of the most effective and efficient renewable energy sources target and how to achieve it. In this context, European and national policy makers have to address difficult issues: On the one hand, how to support the successful achievement of renewable energy targets in the short and medium term and in a time horizon up to 2030, and, on the other hand, how to share the efforts required among individual entities such as single European Member States or groups of European Member States. This paper presents a multi-criteria approach based on an extension of the Fuzzy Technique for Order Preference by Similarity to Ideal Solution for group decision support in order to evaluate alternative policy scenarios for achieving the 2030 renewable energy target. Different effort-sharing arrangements among Member States are evaluated to determine the optimal burden sharing of the common renewable energy target among countries. The results and conclusions obtained can help to reduce uncertainty in the field of energy and climate policy, and aid policy makers in designing effective policies based on the findings.