https://ojs.acad-pub.com/index.php/ESC/issue/feed 2024-04-22T06:15:39+00:00 Flora Chan flora.chan@acad-pub.net Open Journal Systems <p>With the increasing dependence of society on energy, from the perspective of sustainable development, energy storage and conversion technology and its application have become increasingly urgent.&nbsp;<em>Energy Storage and Conversion</em>&nbsp;(ESC) is an open access peer-reviewed journal, and focuses on the energy storage and conversion of various energy source. As a clean energy, thermal energy, water energy, wind energy, ammonia energy, etc., has become a key research direction of the international community, and the research of energy storage system has been extended to the field of energy conversion applications. Solar cells, for example, have made significant progress in efficiently harvesting solar energy and efficiently converting various fuels into electricity. Scopes of the Journal include, but are not limited to:</p> <ul> <li class="show">The theory and application of new energy;</li> <li class="show">The equipment and applications of energy storage;</li> <li class="show">Research on the utilization of renewable energy sources;</li> <li class="show">Conversion equipment, process, materials, and technology research;</li> <li class="show">Multi-energy storage and conversion combination, integration and other solutions;</li> <li class="show">Reliability, safety and performance analysis of energy management systems, etc.</li> </ul> https://ojs.acad-pub.com/index.php/ESC/article/view/523 2024-04-11T07:29:44+00:00 Runlin Zhang zydu21@jlu.edu.cn Weiwei Yang zydu21@jlu.edu.cn Qiuyu Chen zydu21@jlu.edu.cn Zhengyan Du zydu21@jlu.edu.cn Zeshuo Meng mengzs21@mails.jlu.edu.cn

<p>Energy shortage and environmental pollution have become one of the important global issues, and semiconductor photocatalytic technology is considered as one of the effective means to solve these problems. As a new and efficient green material, ZnO has attracted wide attention. ZnO is widely used in the field of photocatalysis due to its non-toxicity, low cost, environmental friendliness, adjustable band gap, high electron density, and chemical stability. However, the recombination of photogenerated charge carriers in ZnO hinders its practical application and lowers the utilization efficiency of visible light. On the other hand, molybdenum disulfide/reduced graphene oxide (MoS₂/rGO), as a binary non-precious metal co-catalyst, has a larger specific surface area, suitable band gap width, and visible light response capability compared to single-phase graphene co-catalyst. Therefore, introducing MoS₂/rGO co-catalyst into the ZnO system can provide more active sites, reduce the probability of photogenerated charge carrier recombination, and improve the utilization efficiency of visible light. In this review, we summarize the hydrothermal synthesis methods for preparing this highly demanded nanocomposite material, including one-step and stepwise methods. Subsequently, we elaborate on the mechanism of enhancing light absorption and achieving efficient electron-hole separation behavior in the ternary system heterojunction structure during the photocatalytic process. Due to its significant advantages, this ternary system heterojunction structure has been widely applied in the field of photocatalysis, including applications such as pollutant degradation, sterilization, and water splitting.</p>

2024-04-11T07:29:25+00:00 Copyright (c) 2024 Runlin Zhang, Weiwei Yang, Qiuyu Chen, Zhengyan Du, Zeshuo Meng https://ojs.acad-pub.com/index.php/ESC/article/view/538 2024-04-22T06:15:39+00:00 Krishan Kumar morningkrishan@gmail.com Priti Prabhakar priti.prabhakar@gmail.com Avnesh Verma verma.avnesh@rediffmail.com

<p>This study addresses the critical role of wind power forecasting in ensuring stable and reliable power system operations. Wind Power Forecasting is critical for the efficient operation of plant, time scheduling, and it’s balancing of power generation with grid integration systems. Due to its dependency on dynamic climatic conditions and associated factors, accurate wind power forecasting is challenging. The research delves into various aspects, including input data, input selection techniques, data pre-processing, and forecasting methods, with the aim of motivating researchers to design highly efficient online/offline models on weather-based data. The overarching goal is to enhance the reliability and stability of power systems while optimizing energy resource utilization. The analysis reveals that hybrid models offer more accurate results, highlighting their significance in the current era. This study investigates different Wind Power Forecasting (WPF) models from existing literature, focusing on input variables, time horizons, climatic conditions, pre-processing techniques, and sample sizes that affect model accuracy. It covers statistical models like ARMA and ARIMA, along with AI techniques including Deep Learning (DL), Machine Learning (ML), and neural networks, to estimate wind power.</p>

2024-04-22T06:15:18+00:00 Copyright (c) 2024 Krishan Kumar, Priti Prabhakar, Avenesh Verma