Multi-objective optimization for sustainable development of the power sector: An economic, environmental, and social analysis of Iran

Atabaki, M. S ; Sharif University of Technology | 2018

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  1. Type of Document: Article
  2. DOI: 10.1016/j.energy.2018.07.149
  3. Publisher: Elsevier Ltd , 2018
  4. Abstract:
  5. This paper aims to analyze Iran's long-term power sector development from economic, environmental, social, and sustainable perspectives. For this purpose, a linear programming model is developed, which includes three objective functions: minimization of costs, minimization of CO2 emissions, and maximization of created jobs. To provide a sustainable plan, analytical hierarchy process is employed to allocate expert-based weights to the objective functions. Moreover, to support the decision-makers, Pareto-optimal alternatives are explored by varying the weights of objectives. The multi-objective model is solved by applying a weighted method based on fuzzy membership functions. The results show that a sustainable scenario leads to high technology diversification. Furthermore, the combined cycle would be the dominant option in Iran's long-term generation mix. In addition, power generation from non-hydro renewables, solar PV in particular, should grow faster than the total electricity demand. The findings indicate that the economic scenario fulfills Iran's commitment to 4% reduction of emissions compared to the current trend; however, the sustainable and environmental scenarios would cause achievement of the superior 12% reduction goal. Multi-objective analysis shows that moving away from one's objective optimum value leads to significant improvements in other objective values. © 2018 Elsevier Ltd
  6. Keywords:
  7. Power system planning ; Renewable energy sources ; Carbon dioxide ; Decision making ; Linear programming ; Membership functions ; Multiobjective optimization ; Pareto principle ; Planning ; Renewable energy resources ; CO2 emissions ; Job creation ; Multi-objective linear programming ; Renewable energy source ; Sustainable development ; Alternative energy ; Analytical hierarchy process ; Carbon emission ; Emission control ; Energy planning ; Energy resource ; Environmental assessment ; Linear programing ; Model ; Multicriteria analysis ; Optimization ; Power generation ; Socioeconomic conditions
  8. Source: Energy ; Volume 161 , 2018 , Pages 493-507 ; 03605442 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S036054421831449X