A multi-objective energy planning considering sustainable development by a TOPSIS-based augmented e-constraint

Abstract

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.