Due to the importance of conserving resources for future generations in the field of energy planning, this paper examines the concept of sustainable development in this area. The energy planning problem is modeled through incorporating environmental and social concepts into a tri-objective mathematical model. The considered objectives are minimizing energy costs, minimizing greenhouse gas emission, and maximizing the rate of social acceptance. In order to show the applicability of the proposed model, it is implemented over a real case study in Iran. Since the considered problem is a multi-objective one, the Pareto optimal set of solutions for the proposed model is obtained using parametric weighting, e-constraint, and augmented e-constraint methods. The results showed that the best Pareto frontiers are obtained using the augmented e-constraint method. Also, four scenarios are defined to help decision makers in selecting the preferred solution under each scenario using the TOPSIS method. The results of scenario evaluation confirm that the socially oriented scenario is more accepted.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.