Stakeholder Involvement for Sustainable Energy Development Based on Uncertain Group Decision Making: Prioritizing the Renewable Energy Heating Technologies and the BWM-WASPAS-IN Approach

This paper proposes a multi-criteria decision framework for promotion of the heating systems based on the renewable energy sources. The objective and subjective data are taken into consideration by the virtue of the relevant quantitative techniques. The paper integrates the Best-Worst method (BWM) and modifies the Weighted Aggregated Sum Product Assessment (WASPAS) method. The BWM is utilized for eliciting the weights of the criteria during the expert survey. We apply the interval-normalized WASPAS for the multi-criteria ranking of the heating technologies. Thus, the uncertainty is taken into consideration. The empirical application deals with the case of Lithuania where modernization of the heating system is rather important in order to reduce energy poverty and increase the quality of life. Three heating technologies (i.e. heat pumps, solar heating and wood pellet boilers) are assessed through the expert survey and multi-criteria evaluation methods. The multi-criteria analysis suggests wood pellet boilers and solar heating dominate the heat pumps in terms of the overall utility and could be promoted as the most suitable renewable heating technologies.