Proper and improper uses of MCDA methods in energy systems analysis

• DOI: 10.1016/j.dss.2022.113848
• Publication Date: 2022-08-28T01:12:28Z
• Authors: Marco Cinelli; Peter Burgherr; Miłosz Kadziński; Roman Słowiński
• Keywords: Rank (graph theory)

Over the past few decades, strategies to perform energy systems analysis have evolved into multiple criteria-based frameworks. However, there still remains a lack of guidance on how select most suitable Multiple Criteria Decision Analysis (MCDA) method. These methods provide different decision recommendations for Makers, including ranking, sorting, choice, and clustering alternatives (e.g., technologies or scenarios) under evaluation. They deal with variety data typologies preferences, lead Makers in shaping future. Here, we evaluate MCDA used 56 case studies performing at scales. We find that close 60% these chose an method was not adequate respective problem. In particular, this concerned use weighting Analytical Hierarchy Process) approaches suited type weights, sub-optimal selection techniques specific types problem statements, handling rather evident interactions preference models. Our demonstrates deficiencies can be overcome by using recently developed methodology software support analysts selecting given decision-making