Mohammad Alhuyi Nazari1
Mamdouh El Haj Assad
Sorour Alotaibi- 1Faculty of New Science and Technologies, University of Tehran, Tehran, Iran
- 2Department of Sustainable and Renewable Energy Engineering, University of Sharjah, Sharjah, United Arab Emirates
- 3Department of Mechanical Engineering, College of Engineering and Petroleum, Kuwait University, Kuwait City, Kuwait
- 4Faculty of Mechanical Engineering, Sharhood University of Technology, Sharhood, Iran
Editorial on the Research Topic
Modeling and optimization of renewable energy systems by using novel approaches
Information
In one of the published papers, entitled “Developing an Artificial Hummingbird Algorithm for Probabilistic Energy Management of Microgrids Considering Demand Response” Alamir et al., an artificial hummingbird algorithm is developed for energy management of a microgrid that included both renewable and conventional energy sources with an incentive-based demand response. In that work, two different cases of study were considered, and found that energy consumption was reduced by 104 kWh and 2,677 MWh for the 1st and 2nd cases, respectively, on the basis of the results of the applied algorithm. In another published paper, entitled “A Detailed Review Investigating the Mathematical Modeling of Solar Stills” Ayoobi and Ramezanizadeh, a comprehensive review was performed and different types of studies including experimental, numerical and analytical works were considered. In this article, effects of different elements such as using thermal energy storage on the performance of solar still were discussed and reviewed. The 3rd paper was entitled “Optimal Sizing Grid-Connected Hybrid PV/Generator/Battery Systems Following the Prediction of CO2 Emission and Electricity Consumption by Machine Learning Methods (MLP and SVR): Aseer, Tabuk, and Eastern Region, Saudi Arabia” (Almutairi et al.). In this work, emission of CO2 and consumption of electricity in Saudi Arabia were predicted by using intelligent techniques. Afterwards, the optimum combination of the components to supply the demand and desalination loads in residential usages were obtained by considering some assumptions such as penalty of CO2 emission and 0% capacity shortage. In the other paper entitled “A Logistic Modelling Analysis for Wind Energy Potential Assessment and Forecasting its Diffusion in Pakistan” (Khatri et al.). In this work, wind energy is Pakistan was assessed and penetration of wind power in the market of Pakistan forecasted by considering three different scenarios for the period of 2020–2050. The other paper published in this Research Topic was entitled “Emplacement of the Photovoltaic Water Pumping System in Remote Areas by a Multi-Criteria Decision-Making Method: A Case Study” (Heydari et al.). In this work, a multi-criteria decision making approach known as TOPSIS was applied to rank 93 cities for establishment of water pumping system based on solar PV systems. The other paper in this Research Topic was entitled “Performance Optimization of the Helical Heat Exchanger With Turbulator” (Xifeng et al.). In this article, performance of the helical heat exchanger was numerically investigated by considering three types of fins and pressure loss and overall heat transfer coefficient were discusses and determined. Finally, based on the numerical results, the most appropriate find was selected on the basis of the benefit-cost-ratio. The other paper published in this Research Topic was entitled “A Comparison Study of Multi-Objective Bonobo Optimizers for Optimal Integration of Distributed Generation in Distribution Systems” (Eid et al.). In this article, three new Multi-Objective Bonobo Optimizer (MOBO) variants were evaluated by applying statistical analysis to solve the multi-objective optimization of Distributed Generation (DG) into distribution systems. They observed that MOBO1 was superior for the single-DG allocation while in case of three-DG units, MOBO3 was the best one.
Author contributions
All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Keywords: renewable energy, artificial intelligence, modeling, optimization, multiobjective
Citation: Nazari MA, El Haj Assad M, Alotaibi S and Maleki A (2022) Editorial: Modeling and optimization of renewable energy systems by using novel approaches. Front. Energy Res. 10:1014262. doi: 10.3389/fenrg.2022.1014262
Received: 08 August 2022; Accepted: 26 September 2022;
Published: 07 October 2022.
Edited and reviewed by:
Ellen B. Stechel, Arizona State University, United StatesCopyright © 2022 Nazari, El Haj Assad, Alotaibi and Maleki. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Mamdouh El Haj Assad, bWFzc2FkQHNoYXJqYWguYWMuYWU=