Special Issue "Advanced Renewable Energy for Sustainability"

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

Deadline for manuscript submissions: 30 April 2022.

Special Issue Editor

Dr. Mohammed 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 Issue Information

Dear Colleagues,

Nowadays, the interest in alternative cost-effective, sustainable, and clean energy sources has grown significantly due to the technical, economical, and environmental consequences of conventional power plants. Thus, renewable energy sources, such as solar, wind, biomass, hydrogen, tidal, and geothermal, have attracted much attention and are widely utilized in power systems. Energy storage systems are integrated with renewable energy sources to maintain the safe operation of the power system and balance the supply and demand sides.

This Special Issue aims to be a hub for contributions related to trends in renewable energy sources and energy storage systems to share 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 multi-energy 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 sources forecasting;

10. Zero-energy building (ZEB) and its environmental and economical impacts;

11. Artificial intelligence 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 power systems;

15. Power system analysis, control, and optimization;

16. Reliability of power systems.

Dr. Mohammed 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 papers will be 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 1900 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 building (ZEB)
  • smart grid
  • microgrid
  • virtual power plants
  • smart cities
  • smart home
  • IoT
  • V2G
  • V2H
  • V2B
  • forecasting in renewable energy systems
  • artificial intelligence
  • energy management
  • environmental and economical impacts
  • power system control
  • power system optimization

Published Papers (4 papers)

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Research

Article
Gorilla Troops Optimizer for Electrically Based Single and Double-Diode Models of Solar Photovoltaic Systems
Sustainability 2021, 13(16), 9459; https://doi.org/10.3390/su13169459 - 23 Aug 2021
Viewed by 272
Abstract
The extraction of parameters of solar photovoltaic generating systems is a difficult problem because of the complex nonlinear variables of current-voltage and power-voltage. In this article, a new implementation of the Gorilla Troops Optimization (GTO) technique for parameter extraction of several PV models [...] Read more.
The extraction of parameters of solar photovoltaic generating systems is a difficult problem because of the complex nonlinear variables of current-voltage and power-voltage. In this article, a new implementation of the Gorilla Troops Optimization (GTO) technique for parameter extraction of several PV models is created. GTO is inspired by gorilla group activities in which numerous strategies are imitated, including migration to an unknown area, moving to other gorillas, migration in the direction of a defined site, following the silverback, and competition for adult females. With numerical analyses of the Kyocera KC200GT PV and STM6-40/36 PV modules for the Single Diode (SD) and Double-Diode (DD), the validity of GTO is illustrated. Furthermore, the developed GTO is compared with the outcomes of recent algorithms in 2020, which are Forensic-Based Investigation Optimizer, Equilibrium Optimizer, Jellyfish Search Optimizer, HEAP Optimizer, Marine Predator Algorithm, and an upgraded MPA. GTO’s efficacy and superiority are expressed by calculating the standard deviations of the fitness values, which indicates that the SD and DD models are smaller than 1E−16, and 1E−6, respectively. In addition, validation of GTO for the KC200GT module is demonstrated with diverse irradiations and temperatures where great closeness between the emulated and experimental P-V and I-V curves is achieved under various operating conditions (temperatures and irradiations). Full article
(This article belongs to the Special Issue Advanced Renewable Energy for Sustainability)
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Article
Cost Minimizations and Performance Enhancements of Power Systems Using Spherical Prune Differential Evolution Algorithm Including Modal Analysis
Sustainability 2021, 13(14), 8113; https://doi.org/10.3390/su13148113 - 20 Jul 2021
Viewed by 466
Abstract
A novel application of the spherical prune differential evolution algorithm (SpDEA) to solve optimal power flow (OPF) problems in electric power systems is presented. The SpDEA has several merits, such as its high convergence speed, low number of parameters to be designed, and [...] Read more.
A novel application of the spherical prune differential evolution algorithm (SpDEA) to solve optimal power flow (OPF) problems in electric power systems is presented. The SpDEA has several merits, such as its high convergence speed, low number of parameters to be designed, and low computational procedures. Four objectives, complete with their relevant operating constraints, are adopted to be optimized simultaneously. Various case studies of multiple objective scenarios are demonstrated under MATLAB environment. Static voltage stability index of lowest/weak bus using modal analysis is incorporated. The results generated by the SpDEA are investigated and compared to standard multi-objective differential evolution (MODE) to prove their viability. The best answer is chosen carefully among trade-off Pareto points by using the technique of fuzzy Pareto solution. Two power system networks such as IEEE 30-bus and 118-bus systems as large-scale optimization problems with 129 design control variables are utilized to point out the effectiveness of the SpDEA. The realized results among many independent runs indicate the robustness of the SpDEA-based approach on OPF methodology in optimizing the defined objectives simultaneously. Full article
(This article belongs to the Special Issue Advanced Renewable Energy for Sustainability)
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Article
Influence of Light Intensity and Photoperiod on the Photoautotrophic Growth and Lipid Content of the Microalgae Verrucodesmus verrucosus in a Photobioreactor
Sustainability 2021, 13(12), 6606; https://doi.org/10.3390/su13126606 - 10 Jun 2021
Cited by 1 | Viewed by 640
Abstract
Microalgal biomass has the capacity to accumulate relatively large quantities of triacylglycerides (TAG) for the conversion of methyl esters of fatty acids (FAME) which has made microalgae a desirable alternative for the production of biofuels. In the present work Verrucodesmus verrucosus was evaluated [...] Read more.
Microalgal biomass has the capacity to accumulate relatively large quantities of triacylglycerides (TAG) for the conversion of methyl esters of fatty acids (FAME) which has made microalgae a desirable alternative for the production of biofuels. In the present work Verrucodesmus verrucosus was evaluated under autotrophic growth conditions as a suitable source of oil for biodiesel production. For this purpose BG11 media were evaluated in three different light:dark photoperiods (L:D; 16:08; 12:12; 24:0) and light intensities (1000, 2000 and 3000 Lux) in a photobioreactor with a capacity of three liters; the evaluation of the microalgal biomass was carried out through the cell count with the use of the Neubauer chamber followed by the evaluation of the kinetic growth parameters. So, the lipid accumulation was determined through the lipid extraction with a Soxhlet system. Finally, the fatty acid profile of the total pooled lipids was determined using gas chromatography-mass spectroscopy (GC-MS). The results demonstrate that the best conditions are a photoperiod of 12 light hours and 12 dark hours with BG11 medium in a 3 L tubular photobioreactor with 0.3% CO2, 25 °C and 2000 Lux, allowing a lipid accumulation of 50.42%. Palmitic acid is identified as the most abundant fatty acid at 44.90%. Full article
(This article belongs to the Special Issue Advanced Renewable Energy for Sustainability)
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Article
Energy Management System Optimization of Drug Store Electric Vehicles Charging Station Operation
Sustainability 2021, 13(11), 6163; https://doi.org/10.3390/su13116163 - 30 May 2021
Viewed by 760
Abstract
Electric vehicle charging station have become an urgent need in many communities around the world, due to the increase of using electric vehicles over conventional vehicles. In addition, establishment of charging stations, and the grid impact of household photovoltaic power generation would reduce [...] Read more.
Electric vehicle charging station have become an urgent need in many communities around the world, due to the increase of using electric vehicles over conventional vehicles. In addition, establishment of charging stations, and the grid impact of household photovoltaic power generation would reduce the feed-in tariff. These two factors are considered to propose setting up charging stations at convenience stores, which would enable the electric energy to be shared between locations. Charging stations could collect excess photovoltaic energy from homes and market it to electric vehicles. This article examines vehicle travel time, basic household energy demand, and the electricity consumption status of Okinawa city as a whole to model the operation of an electric vehicle charging station for a year. The entire program is optimized using MATLAB mixed integer linear programming (MILP) toolbox. The findings demonstrate that a profit could be achieved under the principle of ensuring the charging station’s stable service. Household photovoltaic power generation and electric vehicles are highly dependent on energy sharing between regions. The convenience store charging station service strategy suggested gives a solution to the future issues. Full article
(This article belongs to the Special Issue Advanced Renewable Energy for Sustainability)
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