International Journal of Energy Research最新文献

{"title":"Enhancing Multimicrogrid Resilience: A State-of-the-Art Survey on Model Predictive Control-Based Energy Management Strategies","authors":"Sina Roudnil,&nbsp;Saeid Ghassem Zadeh,&nbsp;Mohammad Reza Feyzi,&nbsp;Amir Aminzadeh Ghavifekr","doi":"10.1155/er/9088459","DOIUrl":"https://doi.org/10.1155/er/9088459","url":null,"abstract":"<p>The growing frequency of extreme natural and human-induced events underscores the critical need to enhance the resilience of power systems. Multimicro grids (MMGs), integrating distributed energy resources (DERs), such as renewable generation and energy storage systems (ESSs), offer a promising solution by enabling power exchange both among interconnected microgrids (MGs) and with the main grid. This survey presents a comprehensive review of the application of model predictive control (MPC) for energy management in MMG systems, emphasizing its potential to improve system resilience under high-impact events. The paper proposes a structured taxonomy of existing MMG energy management strategies, categorized into three principal groups: (i) economic-based strategies, (ii) optimal energy management, and (iii) operational recovery strategies. Each category has unique goals, implementation methods, and timescales, which require separate examinations. Key research gaps are identified, including the coordination of normal and resilient operations, the development and quantification of resilience metrics, and the integration of real-time data to enhance MPC performance in MMGs. In addition, this paper provides a foundational understanding of resilience in power systems by defining core concepts, presenting evaluation methods, and examining the roles of MMGs and MPC in enhancing system resilience. These insights form a comprehensive framework for understanding the challenges and opportunities in this evolving field. Finally, the paper outlines future research directions, emphasizing the potential of MPC for scalable, real-time control in modern power systems, thereby supporting the development of a more adaptive and resilient energy infrastructure.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/9088459","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144905490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intelligent Decision Supporting System for Precursors of Rock Instability: The Application of Early Warning of Rock Shear-Slip Instability","authors":"Xun You,&nbsp;Yunmin Wang,&nbsp;Xiangxin Liu,&nbsp;Kui Zhao,&nbsp;Bin Gong,&nbsp;Xianxian Liu","doi":"10.1155/er/9267226","DOIUrl":"https://doi.org/10.1155/er/9267226","url":null,"abstract":"<p>Underground mining is developing towards deep and large scales; the safety production situation of mining becomes more and more severe. The difficulty of early warning of rock mass instability has increased sharply. The rock shear-slip test is carried out first, crack propagation features are investigated. Based on the idea of “the integrated development of deep learning technology and mine rock mass monitoring,” an intelligent decision-making platform (IDMP) for the precursors of rock instability is proposed. The results show that the crack network of marble specimens under the shear-slip test is composed of dominant and secondary cracks. The intelligent identification model (IIM) of rock shear slip instability is constructed by the long short-term memory network (LSTM), with 16 kinds of acoustic emission (AE) timing parameters as the input vectors and three states of no warning [0, 0], first-level warning [1, 0], and second-level warning [1, 1] as the output ends. The instability IIM can effectively identify rock shear-slip instability and determine the early warning level, and the recognition effect is good. Finally, based on the IIM, an IDMP for rock instability precursors is constructed. IDMP consists of an early warning identification layer, an early warning analysis layer, and an early warning decision-making layer, which can make intelligent decisions on whether to give early warning and determine the level of early warning. The research results provide a new idea and method for the intelligent identification and early warning release of rock mass instability early warning information.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/9267226","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144905491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of Cell Configurations and Operating Conditions on Cathode Gas-Phase Products of SO2-Depolarized Electrolyzers","authors":"Luyao Xie,&nbsp;Ru Tian,&nbsp;Peng Xiao,&nbsp;Yongshui Qu,&nbsp;Laijun Wang,&nbsp;Yingxia Li,&nbsp;Ping Zhang,&nbsp;Songzhe Chen","doi":"10.1155/er/7261641","DOIUrl":"https://doi.org/10.1155/er/7261641","url":null,"abstract":"<p>The hybrid sulfur (HyS) cycle is a promising process for “green hydrogen” production. As the hydrogen-producing step of HyS cycle, SO₂-depolarized electrolysis (SDE) has the advantage of very low theoretical cell potential, while crossover of SO₂ and consequent side reactions undermine the purity of hydrogen and the current efficiency. In this study, the cathode gas products are collected and analyzed for SDE cells with different configurations and operated at various conditions. The effects of operating temperature, cell voltage, proton exchange membrane (PEM) thickness, and catalyst loading position on the byproducts and current efficiency are investigated. Optimization of cell configuration and operating parameters has shown promise in enhancing hydrogen purity and current efficiency to higher than 99% and 98%, respectively.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/7261641","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144905481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intraday Aggregated Optimal Scheduling Strategy for Adjustable Loads in Industrial Parks","authors":"Ping Yang,&nbsp;Yuhang Wu,&nbsp;Tao Sun,&nbsp;Qunru Zheng","doi":"10.1155/er/7162558","DOIUrl":"https://doi.org/10.1155/er/7162558","url":null,"abstract":"<p>Industrial parks contain numerous adjustable loads that can be aggregated into high-quality virtual power plants, supporting the stable operation of power systems with high penetration of renewable energy. However, the diverse control characteristics of adjustable loads, coupled with the uncertainty in electricity consumption during production, present significant challenges to achieving precise power regulation. To address these challenges, adjustable loads are classified and modeled, and an intraday aggregation optimization scheduling model for industrial park-level adjustable loads is developed. The uncertainties associated with uncontrollable loads and distributed photovoltaics (PVs) are considered. Consequently, an intraday two-stage optimal scheduling strategy for adjustable loads in industrial parks is proposed. In the first stage, the scheduling strategy for discretely adjustable loads under deterministic conditions is solved. In the second stage, a distributionally robust optimization algorithm is used to solve the scheduling strategy for continuously adjustable loads under uncertainty. Simulation results show that the two-stage optimal scheduling strategy can achieve precise dynamic optimization of virtual power plants at a relatively low cost, and it exhibits good robustness.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/7162558","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144897471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Numerical Investigation of Performance Enhancement for Thermoelectric Generator System Optimization of HX Fin Shape”","authors":"","doi":"10.1155/er/9804683","DOIUrl":"https://doi.org/10.1155/er/9804683","url":null,"abstract":"<p>J. Park, S. Hong, K. Kwak, and J.-H. Jeong, “Numerical Investigation of Performance Enhancement for Thermoelectric Generator System Optimization of HX Fin Shape,” <i>International Journal of Energy Research</i> 2024 (2024): 6628332, https://doi.org/10.1155/2024/6628332.</p><p>In the article titled “Numerical Investigation of Performance Enhancement for Thermoelectric Generator System Optimization of HX Fin Shape,” there was an error in the Acknowledgments section. The corrected section appears below:</p><p><b>Acknowledgments</b></p><p>This work was supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant funded by the Korea government (MOTIE) (2021202080023B (Development and demonstration of thermoelectric power generation system for marine application by waste heat utilization) and RS-2023-00243201 (Global Talent Development project for Advanced SMR Core Computational Analysis Technology Development)). This work was additionally supported by a National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2021M2E2A2081062).</p><p>We apologize for this error.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/9804683","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144894381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Numerical Simulation to Achieve High Efficiency in CuTlSe2–Based Photosensor and Solar Cell","authors":"Md. Nahid Hasan,&nbsp;Md. Islahur Rahman Ebon,&nbsp;Jaker Hossain","doi":"10.1155/er/4967875","DOIUrl":"https://doi.org/10.1155/er/4967875","url":null,"abstract":"<p>This article presents the design and numerical investigation of a novel dual-function architecture that integrates a photosensor (PS) and a solar cell (SC), based on the chalcogenide compound copper thallium selenide (CuTlSe₂), utilizing cadmium sulfide (CdS) as the window layer and germanium sulfide (GeS) as the back surface field (BSF) layer. Simulations have been conducted using SCAPS-1D software, utilizing material parameters obtained from the literature and previously reported experimental studies. The optimized device, with the GeS BSF layer, achieves a power conversion efficiency (PCE) of 31%, an open-circuit voltage (<i>V</i>_OC) of 0.84 V, a short-circuit current density (<i>J</i>_SC) of 43.18 mA cm⁻², and a fill factor (FF) of 85.88%. In contrast, without the BSF layer, the device delivers a reduced PCE of 22.97%, <i>J</i>_SC of 38.64 mA cm⁻², <i>V</i>_OC of 0.73 V, and FF of 81%. Additionally, the proposed structure reveals superior photosensing performance, achieving a peak responsivity (<i>R</i>) of 0.78 A W⁻¹ and detectivity (<i>D</i>^∗) of 2 × 10¹⁵ Jones at a photon wavelength of 1040 nm in the presence of the BSF layer. The device exhibits enhanced spectral response in the near-infrared (NIR) region, specifically within the wavelength range of 800–1100 nm, emphasizing its proficiency in NIR light detection. These findings highlight the potential of CuTlSe₂–based structures for efficient dual-function photovoltaic (PV) and photosensing applications.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/4967875","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144894380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Designing a Revenue Forecast Scheme for Analog Ensemble Method Applied Solar PV Forecasting in South Korea”","authors":"","doi":"10.1155/er/9872638","DOIUrl":"https://doi.org/10.1155/er/9872638","url":null,"abstract":"<p>F. E. del Pozo Jr., C. K. Kim, H. G. Kim, and C. Y. Yun, “Designing a Revenue Forecast Scheme for Analog Ensemble Method Applied Solar PV Forecasting in South Korea,” <i>International Journal of Energy Research</i> 2025 (2025): 5529459, https://doi.org/10.1155/er/5529459.</p><p>In the article titled “Designing a Revenue Forecast Scheme for Analog Ensemble Method Applied Solar PV Forecasting in South Korea,” there was an error in affiliation number 3. The corrected affiliation appears below:</p><p>Department of Science and Technology, Industrial Technology Development Institute, Taguig, Philippines</p><p>We apologize for this error.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/9872638","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144888151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization-Based Comparative Study of Machine Learning Methods for the Prediction of Hydrogen Production From Biogas","authors":"Kaleem Ullah,&nbsp;Muazzam Arshad,&nbsp;Zainab Javed,&nbsp;Hasnain Ahmad Saddiqi,&nbsp;Sohail Khan,&nbsp;Hayat Khan,&nbsp;Mansoor Ul Hassan Shah,&nbsp;Muzammil Arshad","doi":"10.1155/er/8940534","DOIUrl":"https://doi.org/10.1155/er/8940534","url":null,"abstract":"<p>Production of hydrogen from biogas is indeed a promising approach to address the various sustainability challenges such as reducing greenhouse gas (GHG) emissions and replacing fossil fuels with renewable energy resources. Despite the growing significance of renewable energy, optimization of hydrogen production from biogas with machine learning (ML) techniques remain underexplored. This study aims to fill the research gap by analyzing and evaluating various ML methods including linear regression (LR), K-nearest neighbors (KNNs), random forest (RF), and convolutional neural networks (CNNs) in modeling hydrogen production from biogas. The models were trained on the data obtained through sensitivity analysis of process conditions with Aspen Plus (v14, AspenTech) simulation. Hyperparameter tuning was performed to enhance and optimize the prediction capabilities of the models. Performance analysis of the models indicates <i>R</i>-squared (<i>R</i>²) values of 0.98 (RF), 0.88 (LR), 0.72 (CNN), and 0.89 (KNN) and mean squared error (MSE) values of 0.0695 (RF), 0.5138 (LR), 0.90 (CNN), and 0.5241 (KNN), respectively. To further optimize hydrogen production, the RF model was chosen due to its high <i>R</i>² and low MSE value, indicating superior predictive performance. This model was then used as a surrogate for fitness function evaluations in two optimization frameworks based on the genetic algorithm (GA) and Nelder–Mead (NM) methods. Optimization of input parameters using surrogate-based methodology resulted in an increase in hydrogen production by 25%. This approach provides a platform for plant-level implementation, realizing the concept of Industry 4.0 in biogas processing for hydrogen production.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/8940534","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144881272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance Assessment and Design Recommendations of Nonisolated DC/DC Converters and Maximum Power Point Tracking Techniques for Standalone Photovoltaic Systems","authors":"Majd Ghazi Batarseh,&nbsp;Muhy Eddin Za’ter,&nbsp;Ameer B. Batarseh,&nbsp;Sandy Yacoub Miguel","doi":"10.1155/er/6750449","DOIUrl":"https://doi.org/10.1155/er/6750449","url":null,"abstract":"<p>A maximum power point tracking (MPPT) algorithm is mandatory to operate the system at its maximum power point (MPP) under different irradiance and temperature for improved efficiency. This requires an impedance-matching mechanism in the form of a DC/DC converter between the photovoltaic (PV) modules and the load. Each MPPT algorithm and DC/DC converter governs the overall PV system performance differently. Published work in that regard is mainly analytical and narrative in comparing different DC/DC converters, in addition to being independent of MPPT methods. Unlike previous studies that treated MPPT techniques and DC/DC converter topologies in isolation or with limited integration, this paper offers a holistic cross-comparative analysis that systematically combines multiple MPPT algorithms with various converter architectures under a unified evaluation framework. This paper presents a comparative study of various nonisolated DC/DC converter topologies, including the step-down buck (linear but limited in tracking the MPP to low resistive loads), the step-up boost (continuous-energy-flow but limited to high resistive load MPP tracking), and the inverting step-up or step-down MPP load nonrestrictive buck–boost converters. These converters are explored with different MPPT techniques, primarily the perturb and observe (P&amp;O) (simple, fast, and accurate but oscillatory), constant voltage (fast and relatively accurate), and power increment (capable of tracking global MPP [GMPP] but slow). Key findings of this study are verified in simulation and hardware experimentation and are summarized as follows: there is no universal optimal solution for PV systems with MPPT techniques and DC/DC converters. The MPPT choice depends on factors such as location, cost, implementation complexity, accuracy, and tracking speed. Ultimately, its the designer’s decision based on considerations of efficiency, complexity, loading limits, and capture zones for the chosen DC/DC converter. With quantified performance indices (PIs), verified results, and design recommendations, this work fills a critical gap in integrated MPPT-converter analysis and provides practical guidance in off-grid PV applications.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/6750449","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144869694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing a Novel Wind Turbine for Sub-Saharan Africa: A Techno-Economic and Multicriteria Evaluation","authors":"Kehinde A. Adeyeye,&nbsp;Nelson Ijumba,&nbsp;Jonathan S. Colton","doi":"10.1155/er/3930283","DOIUrl":"https://doi.org/10.1155/er/3930283","url":null,"abstract":"<p>Wind energy has emerged as a key contributor to the global renewable energy mix, yet much of sub-Saharan Africa (SSA) remains underutilized due to predominantly low wind speeds and the limitations of conventional horizontal-axis wind turbines (HAWTs). This study investigates the performance and economic viability of a novel Ferris-wheel wind turbine (FWT) optimized for low-wind conditions. Three FWT configurations, each rated at 800 kW with rim diameters of 200, 240, and 341 ft, were evaluated across five representative African countries: Rwanda, Nigeria, Tanzania, Namibia, and Morocco. Using 1-year (2024) wind data from the NASA POWER database and design-specific power curves, the study models capacity factor (CF), levelized cost of electricity (LCOE), operational wind days, and structural mass. A multicriteria trade-off analysis considering rim size, wind resource adaptability, operational performance, and structural feasibility was conducted. Results show that the 341 ft design consistently outperforms the smaller variants in energy yield and cost-effectiveness, achieving LCOEs below national electricity tariffs in all countries except Rwanda. The 240 ft design offers a favorable balance between performance and capital cost in moderate-wind locations, while the 200 ft design is generally unsuitable due to low output and high LCOE. These findings highlight the importance of matching turbine configuration to site-specific wind conditions and structural constraints. FWTs, particularly larger configurations, hold strong potential to expand wind energy deployment in SSA by offering grid-competitive and technically viable solutions for low-wind-speed environments.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/3930283","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144869287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}