Recent Optimization Methodologies of Energy Systems Based on Renewable Energy
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".
Deadline for manuscript submissions: closed (15 October 2022) | Viewed by 10226
Special Issue Editor
Special Issue Information
Dear Colleagues,
The growing world population, mounting concerns regarding global warming due to the emission of greenhouse gases, and the possibility of depletion of fossil fuel sources in the near future necessitate the development of renewable energy systems. In this regard, the utilization of renewable energy sources for power generation and other purposes such as heating, cooling, and desalination has recently developed. Several approaches have been adopted to facilitate the modeling of renewable energy systems. These models utilize conventional computational methods or employ novel approaches. There are different advantages in using models, instead of experimental studies, such as lower time consumption, more cost effectiveness, environmental friendliness, and reliability. To achieve this aim, optimization methodologies of energy systems is important. Due to the importance of developing optimization methodologies of energy systems based on renewable energy, this Special Issue focuses on this topic. In this regard, high-quality studies that concentrate on recent optimization methodologies of energy systems based on renewable energy are invited to be submitted to the present Special Issue. The main interest of the present issue is the publication of both review and original articles in related fields. The most attractive topics are:
- Optimization methodologies based on single objective function of energy systems;
- Optimization methodologies based on multi objective functions of energy systems;
- Single optimization algorithm for energy systems: particle swarm optimization; artificial bee swarm optimization; genetic algorithm; tabu search; simulated annealing algorithm; chaotic search; harmony search; etc.;
- Hybrid optimization algorithm for energy systems;
- Artificial techniques based on the genetic algorithm, particle swarm optimization, ant colony optimization, etc., for the optimization of energy systems;
- Applications of artificial intelligence in the optimization of renewable energy systems;
- Optimization and predictive models for properties of materials applicable in renewable energy systems;
- Optimization models applicable for predicting the performance and reliability of clean energy systems;
- Energy systems based on renewable energy sources (solar, wind, hydroelectric, geothermal, ocean, hydrogen, and biomass);
- Recent optimization methodologies for hybrid renewable energy systems with different energy sources;
- Optimization of multigeneration systems based on renewable energy sources.
In addition to the abovementioned topics, high-quality articles in relevant fields will be considered for publication.
Dr. Akbar Maleki
Guest Editor
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Keywords
- renewable energy systems
- optimization methodologies
- hybrid optimization algorithms
- energy systems
- energy efficiency
- metaheuristic type methods
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