International Journal of Energy Research最新文献

{"title":"Application of Deep Neural Network to an Accelerated Prediction of a Severe Accident in Nuclear Power Plants","authors":"Semin Joo,&nbsp;Yeonha Lee,&nbsp;Seok Ho Song,&nbsp;Kyusang Song,&nbsp;Mi Ro Seo,&nbsp;Sung Joong Kim,&nbsp;Jeong Ik Lee","doi":"10.1155/er/2401086","DOIUrl":"https://doi.org/10.1155/er/2401086","url":null,"abstract":"<div>\u0000 <p>Recent nuclear severe accidents have spurred interest in the development of advanced accident management support tools (AMSTs) to enhance decision-making during crises. This study examines the efficacy of deep neural networks (DNNs) in accelerating severe accident predictions within nuclear power plants (NPPs), focusing on a loss-of-component-cooling-water (LOCCW) accident scenario. Through analysis of 10,780 simulated LOCCW accident scenarios across varied component failures and mitigation strategy implementations, time series datasets were synthesized at 15, 30, and 60-min intervals. The evaluation demonstrated that convolutional neural network (CNN)-integrated models outperformed standalone architectures in prediction accuracy across all temporal resolutions. Notably, higher temporal resolutions in training datasets significantly improved mean absolute error (MAE) and root mean squared error (RMSE), thereby enhancing prediction precision for immediate subsequent time steps. However, the augmentation of temporal resolution did not uniformly improve overall scenario prediction performance, as assessed by dynamic time warping (DTW) distance, due to cumulative prediction error in higher resolution models. These findings elucidate the nuanced relationship between temporal resolution and predictive accuracy, offering valuable insights for the development of sophisticated AMSTs aimed at bolstering nuclear safety and accident management strategies.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/2401086","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144519624","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":"Parametric Analysis and Optimization of a Dual-Fuel-Fired Boiler for Power Generation Using the Taguchi Design Approach","authors":"Sunday O. Oyedepo,&nbsp;Oyekunle O. Shopeju,&nbsp;Olajide O. Ajala,&nbsp;Bahaa Saleh,&nbsp;Abdullah A. Algethami","doi":"10.1155/er/8867284","DOIUrl":"https://doi.org/10.1155/er/8867284","url":null,"abstract":"<div>\u0000 <p>Increased energy supply reliability, environmental sustainability, more competitive businesses, and improved standard of living are all made possible by more efficient energy conversion processes. In view of this, the present study aims at analysis and optimization of the operational parameters of a dual-fuel-fired boiler using Taguchi design method to enhance boiler thermal efficiency and throughput for sustainable power generation. The L27 orthogonal array (OA) was employed with 27 experimental runs to assess the influence of the four identified design parameters: economizer outlet water temperature (EOWT), total airflow (TAF), gas air heater outlet temperature (GAHOT), and feed water temperature (FWT) on the boiler main steam flow (BMSF). Box–Behnken factorial design from Minitab 18 was used to analyze the effects of the design factors and runs on the response parameter. Results of the study reveal that the quadratic regression model developed with the Taguchi design predicted the BMSF at 95.5% confidence level. The optimal signal-to-noise (S/N) ratio of 56.57 and maximum BMSE of 674 T/h were achieved at the optimal design parameters of 257°C of EOWT, 64% of TAF, 237°C of GAHOT and FWT of 210°C at the boiler feed drum. The adequacy and degree of fitness of the quadratic models developed were determined using the coefficient of determination (<i>R</i>²), adjusted and predicted <i>R</i>², and adequate precision. The coefficient of determination <i>R</i>² values for the BMSF model and S/N ratio model are 0.9995 and 0.9990, respectively. The <i>R</i>² values show that the developed models have a good fit and ability to predict BMSF and S/N ratio accurately. In addition, adjusted <i>R</i>² (BMSF model: 0.9990; S/N ratio model: 0.9981) and predicted <i>R</i>² (BMSF model: 0.9956; S/N ratio: 0.9955) values are in reasonable agreement as their difference is less than 0.2. Conclusively, this study shows that the most influential factor on BMSF is the EOWT with a percentage contributing ratio of 38%; this is followed by FWT with 36%. From the prediction analysis and with the optimized factors, the efficiency of the existing steam turbine power plant of 33% could be increased to 55%.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/8867284","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144519628","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":"Electronic Structure Tuning of CoS2 via N-Heteroatom Doping for Efficient Oxygen Evolution Reaction Application","authors":"Abu Talha Aqueel Ahmed,&nbsp;Abu Saad Ansari,&nbsp;Fairuz Gianirfan Nugroho,&nbsp;Jongmin Kim,&nbsp;Hyunsik Im,&nbsp;Sangeun Cho","doi":"10.1155/er/4507049","DOIUrl":"https://doi.org/10.1155/er/4507049","url":null,"abstract":"<div>\u0000 <p>A crucial aspect for developing the catalyst is to overcome the oxygen evolution reaction (OER) bottleneck, which can be achieved through forming conductive network for efficient charge transport across the cocatalyst structure using N-heteroatoms doping and simultaneously accelerating the active catalyst centres. As the nitrogen have the ability to modulated the electronic structure of the host material, owing to its promising electron-withdrawing ability from the neighboring metal-catalyst via donor–acceptor interaction, which results in the optimal electronic structure of the cocatalyst with improved material conductivity and catalytically active sites. In this study, we synthesized cost-effective nitrogen-doped CoS₂ (N,CoS₂) aggregated nanospheres using a hydrothermal method followed by N-atom doping to enhance catalytic active sites and redox kinetics for efficient OER application. The proposed N,CoS₂ exhibits significantly lower overpotential (271 mV) and Tafel slope (63 mV dec⁻¹) along with the improved Faradaic efficiency compared to pristine CoS₂ (294 and 99 mV dec⁻¹), indicating that heteroatom doping enhances OER kinetics. Furthermore, N-CoS₂ demonstrated excellent robustness under varied current rates and showed outstanding durability, with long-term stability (75 h) at steady 10, 100, and 500 mA cm⁻² current densities.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/4507049","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144514762","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":"Consensus-Oriented Distributed Protocol for a Resilient Optimal Power Delivery Over a Smart Grid Under Electric Vehicles Load and Stochastic Hybrid Cyber-Attacks","authors":"Ijaz Ahmed,&nbsp;Muhammad Rehan,&nbsp;Muhammad Khalid","doi":"10.1155/er/9914892","DOIUrl":"https://doi.org/10.1155/er/9914892","url":null,"abstract":"<div>\u0000 <p>The integration of generating units over a network for distributed energy management raises security challenges for an energy delivery system. This paper addresses a distributed approach to the economic scheduling of energy for the conventional load along with electric vehicles (EVs) in a smart grid (SG) by incorporating hybrid cyber-attacks. The stochastic deception and denial-of-service attacks have been considered in the transmission of incremental costs between generators over a network. A robust consensus-based resilient protocol to protect against hybrid attacks has been provided by ensuring the boundedness of incremental cost errors and supply–demand balance. The convergence analysis and stability of the energy network under cyber-attacks by malicious attackers have been assured via Lyapunov stability theory and boundedness of the signals. Additionally, a distributed approach employs a nonlinear protocol to establish the ramp-rate constraint of generators. In contrast with the centralized methods, the proposed approach is distributed, does not allow single-point failure, and does not require parametric tuning. In contrast with distributed methods, the proposed approach deals with cyber-attacks, hybrid attacks, ramp-rate limits, and EV charging profiles. The simulations show that the distributed protocols allow microgrids to consensus on incremental costs to find the best solution. They also effectively safeguard against hybrid attacks, ensuring efficient scheduling of generation units and addressing the nonlinear ramp-rate constraint.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/9914892","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144514763","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":"Surface Modification of Ni-Foam Electrodes via Acid Etching to Enhance Power-Generation Efficiency of Microbial Fuel Cells","authors":"Mozhgan Gholami-Kermanshahi,&nbsp;Hsiao-Chiao Wang,&nbsp;Günther Lange,&nbsp;Shih-Hang Chang","doi":"10.1155/er/5552211","DOIUrl":"https://doi.org/10.1155/er/5552211","url":null,"abstract":"<div>\u0000 <p>This study investigates the effect of acid etching on the power-generation efficiency of microbial fuel cells (MFCs) configured with Ni-foam electrodes. The performance of the MFCs improved after they were configured with an acid-etched Ni-foam electrode, specifically, the MFCs afforded by a 60 min acid-etched Ni-foam electrode exhibited a power density of 708.0 mWm⁻², as high as 3.8× that afforded by an unmodified electrode (187.3 mWm⁻²). This improvement results from the formation of hydrophilic functional groups and oxygen vacancies during the acid-etching treatment of the Ni-foam surface. The introduced hydrophilic functional groups and oxygen vacancies converted the hydrophobic Ni-foam electrode to superhydrophilic, thus facilitating the bacterial colonization and improving the electron transfer efficiency between the microorganisms and electrodes. Additionally, acid etching increased the electrode surface roughness, thus creating more contact areas for bacterial adhesion and further enhancing power generation. However, prolonged acid etching damaged the framework structure of the Ni-foam electrodes, thereby reducing the contact regions for bacterial adhesion and diminishing the power output. Acid etching remains a simple, rapid, and cost-effective method for improving the surface properties of Ni-foam electrodes and advancing the practical applications of MFCs.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/5552211","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144515070","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":"Identifying Suitable Sites for Wind Farm Development in the Coastal Areas: A Case of Northern Gulf of Oman, Iran","authors":"Mohammad Borhani,&nbsp;Afshin Danehkar,&nbsp;Mazaher Moeinaddini,&nbsp;Parvaneh Sobhani","doi":"10.1155/er/2133064","DOIUrl":"https://doi.org/10.1155/er/2133064","url":null,"abstract":"<div>\u0000 <p>Constructing wind power plants is a multidimensional activity, which determines land potential based on a series of effective criteria and indicators. Accordingly, in the present study, a list of location indicators for wind farms development in the north of Oman Gulf (Sistan and Baluchistan Province) was presented through theoretical literature review and expert viewpoints. Then, location indicators were screened using the Delphi method and weighting by the analytic hierarchy process (AHP) model. In this study, combining layers using the weight linear combination (WLC) method and, finally, identifying areas with spatial value for wind farm development and prioritization of these areas using numerical estimating method (technique for order preference by similarity to ideal solution [TOPSIS]) and artificial intelligence optimization (whale optimization algorithm [WOA]). According to the results of the Delphi method, 14 indicators have been identified, with selected indicators related to the role and necessity of application, including average wind speed, wind continuity, and wind power density as mandatory indicators of capability and distance from military operational areas and distance to historical monuments as mandatory restriction indicators. Based on the weighting results and the combination of indicators, the coastal area was divided into four categories: weak, medium, suitable, and very suitable. Among classes, suitable class covers about 36% of the studied area. As the results show, the cities of Dashtyari and Chabahar have the highest priority for wind farm development, followed by the cities of Zarabad and Konarak. Likewise, in this study, the WOA method achieved the best results, according to root mean square error (RMSE) and <i>R</i>² outcomes. According to the results obtained, 75% of the identified areas are suitable and very suitable for wind farms development. Therefore, by prioritizing coastal cities, wind farms can be developed in this province.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/2133064","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144514897","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":"Machine Learning-Driven Energy Efficiency Enhancement and Emission Reduction in Diesel Engines Using Pumpkin Seed Biodiesel Blends and CeO2 Nanoparticles","authors":"Shaisundaram V. S.,&nbsp;Saravanakumar Sengottaiyan,&nbsp;Gunasekaran Raji,&nbsp;Kumaravel S.,&nbsp;Chandrasekaran M.","doi":"10.1155/er/2329925","DOIUrl":"https://doi.org/10.1155/er/2329925","url":null,"abstract":"<div>\u0000 <p>The rising dependence on fossil fuels, depleting renewable resources, and increasing oil costs necessitate alternative energy sources. Biofuels, such as pumpkin seed biodiesel, offer environmentally friendly solutions with lower greenhouse gas emissions. This is the first study to integrate pumpkin seed oil–based biodiesel blended with cerium oxide (CeO₂) nanoparticles and machine learning (ML) models for optimizing diesel engine performance and emission characteristics. The study uses response surface methodology (RSM) and XGBoost ML to maximize engine performance and predict emissions of carbon monoxide (CO), hydrocarbon (HC), nitrogen oxide (NO_<i>x</i>), and smoke opacity. The optimal blend, achieving a brake thermal efficiency (BTE) of 24.99% with minimal emissions, was 18.32% biodiesel, 63.84% engine load (operating at 75% of maximum capacity), and 48.55 ppm CeO₂. This study demonstrates the effectiveness of combining RSM and ML, providing new insights into the sustainable optimization of biodiesel blends for compression ignition engines.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/2329925","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144503292","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":"Advanced Control Strategies for Wind Turbine Blade Angle Systems: A Comparative Study of Optimization Algorithms and Controllers","authors":"Aya Hamdy Ramadan,&nbsp;Mahmoud A. Attia,&nbsp;S. F. Mekhamer,&nbsp;Ahmed O. Badr,&nbsp;Moustafa Ahmed Ibrahim,&nbsp;Mohammed Alruwaili,&nbsp;Kareem M. AboRas","doi":"10.1155/er/5550970","DOIUrl":"https://doi.org/10.1155/er/5550970","url":null,"abstract":"<div>\u0000 <p>Wind energy is a critical component of renewable energy systems, but the stochastic nature of wind speed poses significant challenges for consistent power generation. This paper addresses these challenges by proposing advanced control strategies to enhance the performance of wind turbine blade angle systems. We compare two optimization algorithms: harmony search algorithm (HSA) and exponential distribution optimizer (EDO) for tuning proportional-integral-derivative (PID) controllers under various operating conditions, including normal operation and fault scenarios. The EDO algorithm demonstrates superior performance in optimizing blade angle control, leading to improved system stability and faster response times. Building on this, we further evaluate three controllers: PID, proportional-derivative-derivative, and adaptive proportional-integral (API) using the EDO algorithm. The API controller, with its adaptive gains, outperforms both PID and proportional double derivative (PD²) controllers, achieving smoother pitch angle adjustments and more stable active power output under varying wind conditions. The results highlight the API controller’s ability to maintain rated power levels with minimal oscillations, even during rapid wind speed changes and fault conditions. This study provides valuable insights into the optimization of wind turbine blade angle systems, offering a robust framework for improving power extraction efficiency and system reliability. The findings suggest that the combination of EDO optimization and API control represents a promising approach for enhancing wind turbine performance in dynamic environments.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/5550970","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144482374","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":"Physical Aspects of Heat Transfer in Ternary Hybrid Nanofluid Flow Subject to Induced Magnetic Field and Cattaneo–Christov Heat Flux","authors":"Kiran Batool,&nbsp;Ghada A. Khouqeer,&nbsp;Saima Zainab,&nbsp;Naglaa AbdelAll,&nbsp;Fazal Haq,&nbsp;Mohammed Sallah","doi":"10.1155/er/5510496","DOIUrl":"https://doi.org/10.1155/er/5510496","url":null,"abstract":"<div>\u0000 <p>Ternary hybrid nanofluids (THNFs) offer superior heat transfer due to their multifunctional properties and adaptability compared to dihybrid nanofluids. Their ability to improve thermal performance, combined with their versatility in terms of chemical and physical properties, makes them an important innovation in fields such as renewable energy, electronics, automotive cooling, and industrial heat exchangers. Due to improved thermal performance and diverse usages of the THNFs, the goal of this paper is to examine the dynamics of THNF flow by a curved surface. The Cattaneo–Christov heat flux model is implemented instead of the classical Fourier principle for heat conduction. The nanoparticles of magnesium oxide (MgO) and copper (Cu), together with multiwalled carbon nanotubes (MWCNTs), are utilized for the formation of THNF. The effects of the induced magnetic field are further conceded. Flow-governing coupled nonlinear partial differential equations (PDEs) are acquired with the implementation of boundary layer restrictions. Suitable similarity alterations are adopted to transform the PDEs into ordinary differential equations (ODEs). The transformed system is solved numerically by implementing the NDSolve built-in function of the Mathematica package. Velocity, temperature, and the induced magnetic field have been graphically investigated under the influence of multiple aspects. The variation in skin friction force and Nusselt quantity is examined numerically. Results show that magnetic and curvature variables diminish the induced magnetic field; however, it escalates when the material variable is elevated. The suction variable decays the magnitude of heat transfer, but an opposite impact of curvature and reciprocal parameters is noticed.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/5510496","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144482375","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":"New Non Isolated DC–DC Converter for Photovoltaic Applications: Ultra High Voltage Gain With Current and Voltage Stress Reduction","authors":"Ammar Falah ALgamluoli,&nbsp;Hayder K. Jahanger,&nbsp;Xiaohua Wu,&nbsp;Mohammed Abaker,&nbsp;Hatim Dafaalla","doi":"10.1155/er/6650883","DOIUrl":"https://doi.org/10.1155/er/6650883","url":null,"abstract":"<div>\u0000 <p>This paper proposes an ultrahigh voltage gain nonisolated DC–DC converter based on a modified double boost mode (MDBM), combined with a modified switched inductor-switched capacitor (MSLSC) technique. The modified voltage multiplier technique (MVMT) is integrated with the MSLSC and MDBM using a second main metal-oxide-semiconductor field-effect transistor (MOSFET) and an auxiliary third MOSFET to achieve ultrahigh voltage gain while reducing voltage stress across power devices. The primary objective is to achieve a voltage gain exceeding 21, thereby minimizing voltage stress on power devices, such as diodes and MOSFETs, as well as reducing current stress on all power switches and diodes in the proposed converter (PC). The MSLSC works in conjunction with the auxiliary third MOSFET and the double main MOSFETs to double the voltage gain and further reduce voltage stress on power devices. Notably, all diodes in the MVMT operate under zero current switching (ZCS), and the double main MOSFETs in the MDBM, along with the auxiliary third MOSFET, experience minimal current stress even at ultrahigh voltage gain levels. This converter offers several advantages, including high efficiency, reduced voltage stress on power devices, and lower current stress on power switches compared to previous nonisolated high step up DC–DC converters. The PC is designed to boost input voltages from 30V to a variable output range of 400–650 V, delivering up to 550 W with a peak efficiency of 96.5%.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/6650883","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144482275","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}