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Advanced Renewable Energy for Sustainability Volume II
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Advanced Renewable Energy for Sustainability Volume II

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: closed (24 September 2023) | Viewed by 2188

Special Issue Editor

Dr. Mohammed Elsayed Lotfy

E-Mail Website
Guest Editor
Electrical Power and Machines Department, Zagazig University, Zagazig 44519, Egypt
Interests: power system control; power system economics; renewable energy sources; energy storage systems; multi-objective optimizations; smart grid; IoT and electric vehicle
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The interest in alternative cost-effective, sustainable, and clean energy sources has grown significantly due to the technical, economical, and environmental influences of conventional power plants. Renewable energy sources such as solar, wind, biomass, hydrogen, tidal, and geothermal energy have thus attracted much attention and are widely utilized in power systems. On the other hand, energy storage systems have been integrated with renewable energy sources to maintain the safe operation of power systems and balance supply and demand.

This Special Issue aims to be a hub for contributions related to advanced trends in renewable energy sources and energy storage systems and to facilitate the exchange of up-to-date research results. Topics of interest include (but are not limited to) the following:

  1.  Renewable energy sources (wind, solar, biomass, hydrogen, geothermal, tidal, hydro).
  2.  Storage energy technologies and green storage solutions.
  3.  Energy economics and energy efficiency.
  4.  Sustainable energy policy.
  5.  Grid integration of renewable sources.
  6.  Distributed generation and multienergy systems.
  7.  Case studies, prototype, projects, and new technologies related to smart cities, smart grid, smart villages, virtual power plants, smart home, and IoT.
  8.  Demand-side management and demand response.
  9.  Renewable energy source forecasting.
  10.  Zero-energy buildings (ZEBs) and their environmental and economical impacts.
  11.  Artificial intelligent applied to energy systems.
  12.  Sustainable smart energy management.
  13.  Vehicle-to-everything communication (e.g., V2H, V2G, V2B).
  14.  Voltage and frequency control in the power system.
  15.  Power system analysis, control, and optimization.
  16.  Reliability of power systems.

Dr. Mohammed Elsayed Lotfy
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sustainable and renewable energy technologies
  • energy storage systems
  • green storage solutions
  • distributed generations
  • energy policy
  • energy economics
  • energy efficiency
  • demand response
  • zero-energy buildings (ZEBs)
  • smart grid
  • microgrid
  • virtual power plants
  • smart cities
  • smart homes
  • IoT
  • V2G
  • V2H
  • V2B
  • forecasts for renewable energy systems
  • artificial intelligence
  • energy management
  • environmental and economical impacts
  • power system control
  • power system optimization

Published Papers (2 papers)

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Research

18 pages, 4054 KiB  
Article
Evaluation of Life Cycle Assessment of Jatropha Biodiesel Processed by Esterification of Thai Domestic Rare Earth Oxide Catalysts
by Dussadee Rattanaphra, Sittinun Tawkaew, Sinsupha Chuichulcherm, Wilasinee Kingkam, Sasikarn Nuchdang, Kittiwan Kitpakornsanti and Unchalee Suwanmanee
Sustainability 2024, 16(1), 100; https://doi.org/10.3390/su16010100 - 21 Dec 2023
Cited by 1 | Viewed by 768
Abstract
The Thai domestic rare earth oxides, including cerium, lanthanum, and neodymium oxides, with the effects of calcination temperatures (500–1000 °C), were utilized as catalysts for twelve Jatropha biodiesel alternatives via an esterification reaction. This study applied life cycle assessment (LCA) methodology from well-to-wheel [...] Read more.
The Thai domestic rare earth oxides, including cerium, lanthanum, and neodymium oxides, with the effects of calcination temperatures (500–1000 °C), were utilized as catalysts for twelve Jatropha biodiesel alternatives via an esterification reaction. This study applied life cycle assessment (LCA) methodology from well-to-wheel analysis to assess energy efficiency and the global warming impact with and without land use change. The results of the life cycle analysis showed that the Jatropha biodiesel alternatives using the La2O3 catalyst in all conditions (0.89–1.06) were found to be potential fuel substitutes for conventional diesel (0.86) in terms of net energy ratios; however, the results showed that they generated a higher global warming impact. Considering the improvement process of Jatropha biodiesel in the utilization of waste heat recovery, the Jatropha biodiesel reduced the impacts of the net energy ratios and the global warming impact by 22–24% and 34–36%, respectively. The alternative Jatropha biodiesel using the La2O3 catalyst with a calcination temperature of 600 °C was shown to be the most environmentally friendly of all the studied fuels; relatively, it had the highest energy ratios of 1.06–1.37 (with and without waste heat recovery) and the lowest total global warming impact of 47.9–70.7 kg CO2 equivalent (with land use change). The integration of the material and process development by domestic catalysts and the recovery of waste heat would improve the sustainability choices of biofuel production from renewable resources for transportation fuels in Thailand. Full article
(This article belongs to the Special Issue Advanced Renewable Energy for Sustainability Volume II)
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20 pages, 4749 KiB  
Article
Adaptive Estimation of Quasi-Empirical Proton Exchange Membrane Fuel Cell Models Based on Coot Bird Optimizer and Data Accumulation
by Mohamed Ahmed Ali, Mohey Eldin Mandour and Mohammed Elsayed Lotfy
Sustainability 2023, 15(11), 9017; https://doi.org/10.3390/su15119017 - 2 Jun 2023
Cited by 2 | Viewed by 993
Abstract
The ambitious spread of fuel cell usage is facing the aging problem, which has a significant impact on the cells’ output power. Therefore, it is necessary to develop reliable techniques that are capable of accurately characterizing the cell throughout its life. This paper [...] Read more.
The ambitious spread of fuel cell usage is facing the aging problem, which has a significant impact on the cells’ output power. Therefore, it is necessary to develop reliable techniques that are capable of accurately characterizing the cell throughout its life. This paper proposes an adaptive parameter estimation technique to develop a robust proton exchange membrane fuel cell (PEMFC) model over its lifespan. This is useful for accurate monitoring, analysis, design, and control of the PEMFC and increasing its life. For this purpose, fair comparisons of nine recent optimization algorithms were made by implementing them for a typical quasi-empirical PEMFC model estimation problem. Investigating the best competitors relied on two conceptual factors, the solution accuracy and computational burden (as a novel assessment factor in this study). The computational burden plays a great role in accelerating the model parameters’ update process. The proposed techniques were applied to five commercial PEMFCs. Moreover, a necessary statistical analysis of the results was performed to make a solid comparison with the competitors. Among them, the proposed coot-bird-algorithm (CBO)-based technique achieved a superior and balanced performance. It surpassed the closest competitors by a difference of 16.01% and 62.53% in the accuracy and computational speed, respectively. Full article
(This article belongs to the Special Issue Advanced Renewable Energy for Sustainability Volume II)
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