Evaluation of sustainable energy planning scenarios with a new approach based on FCM, WASPAS and impact effort matrix

Energy system investments and policies have a significant role in maintaining sustainable development. The ability to forecast energy demands, energy obtained from renewable resources and their impacts on the environment and society is extremely important for an effective energy planning and policy making. However, it is a complicated issue requiring many factors, which are rarely independent and often not well defined in real-world problems, to be considered. Moreover, this planning process may require the evaluation of uncertain scenarios arising from different economic, regulatory, technological and environmental advancements. Therefore, in this study, an approach consisting of fuzzy cognitive mapping (FCM), weighted aggregated sum product assessment (WASPAS) and impact effort assessment is introduced to enable experts to rank different sustainability scenarios based on their impact and the effort needed. By using this approach, the scenarios with less effort and relatively high impact are identified for an effective energy planning.

Automated summary

Investments and policies in the energy system play a significant role in maintaining sustainable development. Forecasting energy demands and evaluating the impact of renewable energy on the environment and society are crucial for effective energy planning. However, this is a complex issue with many interdependent factors that are often not well-defined in real-world problems. In this study, a method combining fuzzy cognitive mapping, weighted aggregated sum product assessment, and impact effort assessment is introduced to rank different sustainability scenarios and identify effective energy planning options.