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Security Issues in the Research and Application of 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 July 2023) | Viewed by 6066

Special Issue Editor

Institute for Frontier Materials, Deakin University, Geelong Waurn Ponds Campus, 75 Pigdons Rd, Waurn Ponds, VIC 3216, Australia
Interests: battery; supercapacitor; wearable energy storage technology; sensing

Special Issue Information

Dear Colleagues,

Ever-increasing energy demands from both grid-scale or portable energy storage systems have consistently led to serious environmental crises and issues globally. The rapid development, for example, of electric cars and portable electric devices has stimulated the revolution of batteries technology, while imposing great challenges on our limited resources on earth and the wellbeing of our environment and ecosystem. Therefore, a current analysis of the impact of current energy storage systems on the ecosystem is urgently needed. To alleviate the pollution caused by current energy storage systems, recycling and reuse of the waste component of the current energy storage is necessary, aiming at a more circular economy. To finally address these issues, a clean energy storage system is highly important to replace or upgrade current non-renewable natural resources-based energy storage systems such as thermal power generation and Li-ion batteries.

Current research relating energy usually pursues a high energy density or power density. Therefore, a focus on the impact of circular economy on these energy storage studies can be a good addition to the current research.

This Special Issue would provide a window to show some study efforts in the aforesaid fields, and promotes interdisciplinary research to achieve the ultimate goal of environmental sustainable development. The specific topics of the Special Issue are:

  1. Clean energy storage technology;
  2. Circular economy;
  3. Recycling of waste or toxic energy storage materials or devices;
  4. Analysis of the impact of current energy storage system on ecosystem and environment.

I look forward to receiving your contributions.

Dr. Zhiyu Wang
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

  • clean energy
  • renewable energy
  • next generation battery
  • supercapacitor
  • energy storage materials
  • bioderived energy storage materials
  • wearable energy storage technology and devices

Published Papers (3 papers)

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Research

24 pages, 3846 KiB  
Article
Evaluating the Technical, Economic, and Environmental Performance of Solar Water Heating System for Residential Applications–Comparison of Two Different Working Fluids (Water and Glycol)
by Ephraim Bonah Agyekum, Tahir Khan and Nimay Chandra Giri
Sustainability 2023, 15(19), 14555; https://doi.org/10.3390/su151914555 - 07 Oct 2023
Cited by 1 | Viewed by 848
Abstract
The use of solar water heaters (SWH) in both residential and commercial facilities is one of the possible ways to reduce electricity bills and the release of greenhouse gases (GHG). This study assessed the technical, economic, and environmental performance of a SWH system [...] Read more.
The use of solar water heaters (SWH) in both residential and commercial facilities is one of the possible ways to reduce electricity bills and the release of greenhouse gases (GHG). This study assessed the technical, economic, and environmental performance of a SWH system at six different locations in China (i.e., Lhasa, Lauchang, Wuhan, Kashi, Yumen, and Harbin). A comparison between two different working fluids (i.e., water and glycol) were modeled in the System Advisor Model in all six cities. A sensitivity analysis was conducted on some key technical and economic parameters to assess the impact of such parameters on the performance of SWH systems in the country. According to the results, Lhasa recorded the highest capacity factor of 11% and 10.70% using water and glycol as the working fluid, respectively. Lhasa was identified as the best location among the studied locations due to its high solar irradiation. The optimization study indicates that the optimum azimuth for China is 190°. It was also found that a 25% reduction in the outlet set temperature of the water can reduce the capacity factor from 11% to about 9.2%. Using the SWH as simulated in this study can reduce carbon dioxide emissions from 1252.87–2014.85 kg per year to 138.20–330.23 kg per year; the extent of reduction depends on the location of the SWHS, and the solar energy available at the area. Net electricity bill savings of $156–296 could be obtained if SWH systems were installed and used at the studied locations. Full article
(This article belongs to the Special Issue Security Issues in the Research and Application of Renewable Energy)
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19 pages, 2186 KiB  
Article
Interconnection between the Dynamic of Growing Renewable Energy Production and the Level of CO2 Emissions: A Multistage Approach for Modeling
by Łukasz Skowron, Olena Chygryn, Marcin Gąsior, Vitaliia Koibichuk, Serhiy Lyeonov, Serhii Drozd and Oleksandr Dluhopolskyi
Sustainability 2023, 15(12), 9473; https://doi.org/10.3390/su15129473 - 13 Jun 2023
Cited by 4 | Viewed by 976
Abstract
The global reduction of carbon dioxide emissions is one of the critical priorities for implementing the Sustainable Development Goals by 2030 and the Paris Agreement 2015. Therefore, it stimulates and increases the ability of countries to implement green imperatives in policies to force [...] Read more.
The global reduction of carbon dioxide emissions is one of the critical priorities for implementing the Sustainable Development Goals by 2030 and the Paris Agreement 2015. Therefore, it stimulates and increases the ability of countries to implement green imperatives in policies to force the anthropogenic environment, reduce use of fossil fuels, and simultaneously develop alternative energy. Thus, it is crucial to understand the impact of renewable energy development on the dynamic of CO2 pollution. Countries can increase or decrease the development of renewable energy depending on the effectiveness of its impact on the level of CO2 pollution. This paper aims to analyze the influence of the growth dynamics of renewable energy production in countries on CO2 emissions. The article uses Ward’s method to test the research hypothesis. Empirical results allowed us to conclude the interdependence of renewable energy production and CO2 emissions. The results indicate a strong relationship between the level of renewable energy production and carbon emissions in countries. For the global development of renewable energy technologies, governments must understand their impact on changing the scale of environmental pollution and expand the awareness of state leadership, the business sector, and society. Full article
(This article belongs to the Special Issue Security Issues in the Research and Application of Renewable Energy)
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26 pages, 7992 KiB  
Article
An Artificial-Intelligence-Based Renewable Energy Prediction Program for Demand-Side Management in Smart Grids
by Vinothini Arumugham, Hayder M. A. Ghanimi, Denis A. Pustokhin, Irina V. Pustokhina, Vidya Sagar Ponnam, Meshal Alharbi, Parkavi Krishnamoorthy and Sudhakar Sengan
Sustainability 2023, 15(6), 5453; https://doi.org/10.3390/su15065453 - 20 Mar 2023
Cited by 14 | Viewed by 3687
Abstract
Technology advancements have enabled the capture of Renewable Energy Sources (RES) on a massive scale. Smart Grids (SGs) that combine conventional and RES are predicted as a sustainable method of power generation. Moreover, environmental conditions impact all RES, causing changes in the amount [...] Read more.
Technology advancements have enabled the capture of Renewable Energy Sources (RES) on a massive scale. Smart Grids (SGs) that combine conventional and RES are predicted as a sustainable method of power generation. Moreover, environmental conditions impact all RES, causing changes in the amount of electricity produced by these sources. Furthermore, availability is dependent on daily or annual cycles. Although smart meters allow real-time demand prediction, precise models that predict the electricity produced by RES are also required. Prediction Models (PMs) accurately guarantee grid stability, efficient scheduling, and energy management. For example, the SG must be smoothly transformed into the conventional energy source for that time and guarantee that the electricity generated meets the predicted demand if the model predicts a period of Renewable Energy (RE) loss. The literature also suggests scheduling methods for demand-supply matching and different learning-based PMs for sources of RE using open data sources. This paper developed a model that accurately replicates a microgrid, predicts demand and supply, seamlessly schedules power delivery to meet demand, and gives actionable insights into the SG system’s operation. Furthermore, this work develops the Demand Response Program (DRP) using improved incentive-based payment as cost suggestion packages. The test results are valued in different cases for optimizing operating costs through the multi-objective ant colony optimization algorithm (MOACO) with and without the input of the DRP. Full article
(This article belongs to the Special Issue Security Issues in the Research and Application of Renewable Energy)
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