Multi-Objective Optimization and Performance Assessments of an Integrated Energy System Based on Fuel, Wind and Solar Energies

• Published in: Entropy (Basel, Switzerland) Vol. 23; no. 4; p. 431
• Main Authors: Li, Jingyun, Zhao, Hong
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 06.04.2021; MDPI
• Subjects: Alternative energy sources; Carbon dioxide; Emissions control; Energy consumption; Fuels; Gas turbines; gas-wind-photovoltaic system; Genetic algorithms; Heat; Heat pumps; Impact analysis; Indicators; integrated energy system; Integrated energy systems; multi-objective optimization; Multiple objective analysis; Natural gas; nondominated sorting genetic algorithm II (NSGA-II); Optimization; Renewable energy; sensitivity analysis; Sorting algorithms; Storage batteries; Thermal storage; Wind turbines; gas-wind-photovoltaic system; multi-objective optimization; sensitivity analysis; nondominated sorting genetic algorithm II (NSGA-II); integrated energy system

The integrated energy system (IES) is an efficient method for improving the utilization of renewable energy. This paper proposes an IES based on fuel, wind and solar energies, following an optimization study focused on determining optimal device capacities. The study included gas turbines, wind turb...