Smart design of hybrid solar-gas turbine plants for decarbonization: A multi-criteria optimization case study in the MENA region

Abstract

[EN]The integration of solar and gas turbine technologies through hybridization emerges as a promising approach to enhance the sustainability of power generation systems. However, the design process for such hybrid systems is challenging, particularly in terms of optimization and decision-making strategies. In this research, a case study of redesigning of an existing gas power plant by integrating a heliostat field and a central air receiver for preheating purposes has been presented. To accurately adjust the critical parameters of the hybrid solar gas power plant, a tri-objectives optimization approach was employed using two advanced optimization methods: Non-dominated Sorting Genetic Algorithm III and Multi-Objective Grasshopper Optimization Algorithm. Furthermore, the hybrid Fuzzy Analytic Hierarchy Process and The Technique for Order of Preference by Similarity to Ideal Solution decision-making method has been employed to help select the optimal design points from various scenarios and priorities. The chosen design for the hybrid solar-gas power plant showcases an efficient heliostat field footprint, a competitive LCOE of , achieves an annual reduction in natural gas consumption by , and mitigates CO2 emissions by (,).Thus, this study presents a persuasive example of a low-carbon technological solution, offering a promising strategy for the ongoing energy transition in the Middle East and North Africa (MENA) region.