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Energy Storage and Integration of Renewable Energy Systems towards Energy Sustainability

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

Deadline for manuscript submissions: 30 April 2024 | Viewed by 3030

Special Issue Editors

Dr. Jian Chen

E-Mail Website
Guest Editor
Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, School of Electrical Engineering, Shandong University, Jinan 250061, China
Interests: energy storage; active distribution network; integrated energy system; distributed generation; planning and operation; resilience enhancement
Prof. Dr. Wen Zhang

E-Mail Website
Guest Editor
Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, School of Electrical Engineering, Shandong University, Jinan 250061, China
Interests: power system operation and control; state estimation; distribution network; dynamic stability; the application of artificial intelligence in power system
Dr. Yongliang Liang

E-Mail Website
Guest Editor
Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, School of Electrical Engineering, Shandong University, Jinan 250061, China
Interests: fault analysis and identification of smart distribution networks; protection of active distribution networks; power transformer condition assessment; optimal dispatch of integrated energy system
Special Issues, Collections and Topics in MDPI journals
Dr. Muhammad Mamdouh Kabsha

E-Mail Website
Guest Editor
Electrical Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 35516, Egypt
Interests: grid integration of renewable energy sources; HVDC; hybrid AC/DC microgrids; power system stability; power system control

Special Issue Information

Dear Colleagues,

As the world transitions towards cleaner and more sustainable energy sources, the importance of efficient energy storage and the seamless integration of renewable energy systems becomes paramount. The intermittent nature of renewable energy sources, such as solar and wind power, necessitates effective storage solutions to ensure a stable and reliable energy supply. Furthermore, the successful integration of these systems into existing energy infrastructure plays a pivotal role in maximizing their benefits and reducing reliance on fossil fuels.

This Special Issue seeks original research and review articles that present new findings and innovative technologies in the areas of energy storage and the integration of renewable energy systems. We encourage submissions with a strong applied focus, emphasizing practical solutions and real-world implementation. Manuscripts should address the challenges associated with energy storage technologies, explore novel approaches for integrating renewable energy systems into the grid, and highlight the potential environmental and economic benefits of these advancements.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Planning and operation of energy storage systems;
  • Optimization and control strategies for renewable energy integration;
  • Modeling and simulation of energy storage and renewable energy systems;
  • Renewable energy forecasting and predictive analytics;
  • Security and stability for energy storage and renewable energy systems;
  • Hybrid energy systems combining multiple renewable sources and storage technologies;
  • Economics and business models for energy storage and renewable energy systems;
  • Energy storage technologies for enhancing energy resilience and reliability;
  • Integration of renewable energy in industrial and commercial sectors.

We look forward to receiving your contributions.

Dr. Jian Chen
Prof. Dr. Wen Zhang
Dr. Yongliang Liang
Dr. Muhammad Mamdouh Kabsha
Guest Editors

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

  • energy storage
  • renewable energy integration
  • energy management system
  • planning and operation
  • energy economics
  • environmental sustainability

Published Papers (4 papers)

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Research

27 pages, 5028 KiB  
Article
The Thermal Properties of an Active–Passive Heat Storage Wall System Incorporating Phase Change Materials in a Chinese Solar Greenhouse
by Yong Guan, Yan Chen, Lu Zhou, Zhixiong Wei, Wanling Hu and Yuchao Yang
Sustainability 2024, 16(7), 2624; https://doi.org/10.3390/su16072624 - 22 Mar 2024
Viewed by 570
Abstract
The use of renewable energy for food and vegetable production is a potential sustainable method to reduce fossil energy consumption. Chinese solar greenhouses (CSGs) are horticultural facility buildings in the northern hemisphere that use solar energy to produce off-season vegetables in winter. The [...] Read more.
The use of renewable energy for food and vegetable production is a potential sustainable method to reduce fossil energy consumption. Chinese solar greenhouses (CSGs) are horticultural facility buildings in the northern hemisphere that use solar energy to produce off-season vegetables in winter. The north wall heat storage and release capacity of CSG has a significant impact on the indoor thermal–humidity environment. However, common traditional solar greenhouses commonly have problems such as insufficient heat storage and release, thick temperature stability zones inside the walls, and inability to dynamically regulate the entire greenhouse environment. Therefore, a novel active–passive heat storage wall system (APHSWS) incorporating phase change materials has been developed to promote the thermal performance of the CSG and its internal temperature of the thermal storage wall in this paper. Through experimental and simulation methods, the heat storage and release of the APHSWS and its impact on the greenhouse environment are investigated. The findings indicate that the APHSWS has increased the wall heat storage and release capacity, compared to the ordinary greenhouse without the APHSWS, in three typical weather conditions in winter (i.e., sunny, overcast, and cloudy); the average temperature of greenhouse with the APHSWS has increased in indoor air temperature, wall surface temperature, and soil surface temperatures of 1.58–6.06 °C, 2.71–6.58 °C, 0.91–6.39 °C, respectively; and during the experiment, the greenhouse with the APHSWS has a monthly average daily effective accumulated temperature of 1.39 times, 1.18 times, 0.60 times, and 0.20 times that of the ordinary greenhouse without the APHSWS from December to March of the next year, respectively. Under typical sunny conditions, the greenhouse wall heat storage capacity increased by 1.59–2.44 MJ/m2 and the heat release capacity increased by 0.97–1.17 MJ/m2. At the direction of wall thickness, the temperature at each point inside the wall with the APHSWS is always higher than that of ordinary wall without the APHSWS. In addition, the operating cost of the APHSWS in winter is analyzed. Full article
(This article belongs to the Special Issue Energy Storage and Integration of Renewable Energy Systems towards Energy Sustainability)
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25 pages, 5815 KiB  
Article
Optimal Configuration of Multi-Energy Storage in an Electric–Thermal–Hydrogen Integrated Energy System Considering Extreme Disaster Scenarios
by Zhe Chen, Zihan Sun, Da Lin, Zhihao Li and Jian Chen
Sustainability 2024, 16(6), 2276; https://doi.org/10.3390/su16062276 - 08 Mar 2024
Viewed by 512
Abstract
Extreme disasters have become increasingly common in recent years and pose significant dangers to the integrated energy system’s secure and dependable energy supply. As a vital part of an integrated energy system, the energy storage system can help with emergency rescue and recovery [...] Read more.
Extreme disasters have become increasingly common in recent years and pose significant dangers to the integrated energy system’s secure and dependable energy supply. As a vital part of an integrated energy system, the energy storage system can help with emergency rescue and recovery during major disasters. In addition, it can improve energy utilization rates and regulate fluctuations in renewable energy under normal conditions. In this study, the sizing scheme of multi-energy storage equipment in the electric–thermal–hydrogen integrated energy system is optimized; economic optimization in the regular operating scenario and resilience enhancement in extreme disaster scenarios are also considered. A refined model of multi-energy storage is constructed, and a two-layer capacity configuration optimization model is proposed. This model is further enhanced by the integration of a Markov two-state fault transmission model, which simulates equipment defects and improves system resilience. The optimization process is solved using the tabu chaotic quantum particle swarm optimization (TCQPSO) algorithm to provide reliable and accurate optimization results. The results indicate that addressing severe disaster situations in a capacity configuration fully leverages the reserve energy function of energy storage and enhances system resilience while maintaining economic efficiency; furthermore, adjusting the load loss penalty coefficients offers a more targeted approach to the balancing of the system economy and resilience. Thus, new algorithmic choices and planning strategies for future research on enhancing the resilience of integrated energy systems under extreme disaster scenarios are provided. Full article
(This article belongs to the Special Issue Energy Storage and Integration of Renewable Energy Systems towards Energy Sustainability)
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22 pages, 13367 KiB  
Article
Numerical Study on Effects of Flow Channel Length on Solid Oxide Fuel Cell-Integrated System Performances
by Yuhang Liu, Jinyi Liu, Lirong Fu and Qiao Wang
Sustainability 2024, 16(4), 1643; https://doi.org/10.3390/su16041643 - 16 Feb 2024
Viewed by 629
Abstract
The structural dimensions of the SOFC have an important influence on the solid oxide fuel cell (SOFC)-integrated system performance. The paper focuses on analyzing the effect of the flow channel length on the integrated system. The system model includes a 3-D SOFC model, [...] Read more.
The structural dimensions of the SOFC have an important influence on the solid oxide fuel cell (SOFC)-integrated system performance. The paper focuses on analyzing the effect of the flow channel length on the integrated system. The system model includes a 3-D SOFC model, established using COMSOL 6.1, and a 1-D model of the SOFC-integrated system established, using Aspen Plus V11. This analysis was conducted within an operating voltage range from 0.4 V to 0.9 V and flow channel length range from 6 cm to 18 cm for the SOFC-integrated system model. Performance evaluation indicators for integrated systems are conducted, focusing on three aspects: net electrical power, net electrical efficiency, and thermoelectric efficiency. The purpose of the paper is to explore the optimal flow channel length of SOFC in the integrated system. The results indicate that there is inevitably an optimal length in the integrated system at which both the net electrical power and net electrical efficiency reach their maximum values. When considering the heat recycling in the system, the integrated system with a flow channel length of 16 cm achieves the highest thermoelectric efficiency of 65.68% at 0.7 V. Therefore, there is a flow channel length that allows the system to achieve the highest thermoelectric efficiency. This study provides optimization ideas for the production and manufacturing of SOFCs from the perspective of practical engineering applications. Full article
(This article belongs to the Special Issue Energy Storage and Integration of Renewable Energy Systems towards Energy Sustainability)
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29 pages, 11530 KiB  
Article
Optimizing Water-Light Complementary Systems for the Complex Terrain of the Southwestern China Plateau Region: A Two-Layer Model Approach
by Zhikai Hu, Zhumei Luo, Na Luo, Xiaoxv Zhang, Haocheng Chao and Linsheng Dai
Sustainability 2024, 16(1), 292; https://doi.org/10.3390/su16010292 - 28 Dec 2023
Viewed by 586
Abstract
This study aimed to optimize the real-time, short-term dispatch of water-light complementary systems in plateau areas. A two-layer nested improved particle swarm optimization-stepwise optimization algorithm trial (IPSO-SOAT) model was devised to address the challenges posed by the intermittent, volatile, and random characteristics of [...] Read more.
This study aimed to optimize the real-time, short-term dispatch of water-light complementary systems in plateau areas. A two-layer nested improved particle swarm optimization-stepwise optimization algorithm trial (IPSO-SOAT) model was devised to address the challenges posed by the intermittent, volatile, and random characteristics of renewable energy, leading to difficulties in renewable energy consumption and severe power cuts. The model, was employed to optimize the load distribution of complementary system power stations. The outer layer of the model employs an improved particle swarm optimization algorithm to introduce uncertainty and enhance prediction accuracy. Additionally, regional optimization and robust optimization were incorporated to improve prediction reliability. The objective function was aimed at minimizing the residual load variance. The inner layer of the model employs a stepwise optimization algorithm, coupled with a two-dimensional coding strategy for the hydropower unit, to optimize the operating status of the hydropower station unit. The objective function in this layer minimizes flow consumption. A water-light complementary system was comprehensively analyzed in the context of the southwestern plateau region, considering the complex terrain characteristics. By comparing three scenarios, the superiority and flexibility of the two-level nested model were visualized. The proposed double-layer nesting model minimizes energy and natural resource consumption while ensuring sustainability, resulting in a reduction of 15,644.265 tons of carbon dioxide emissions per year. This technological innovation makes a significant contribution to sustainable development. Full article
(This article belongs to the Special Issue Energy Storage and Integration of Renewable Energy Systems towards Energy Sustainability)
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