Energy Science & Engineering最新文献

{"title":"Effect of Hydrotreating Severity on Jet Fuel Thermal Oxidation Stability of Olefinic Synthetic Kerosene","authors":"Cibele Melo Halmenschlager,&nbsp;Laine Badaro Pereira,&nbsp;Arno de Klerk","doi":"10.1002/ese3.70512","DOIUrl":"https://doi.org/10.1002/ese3.70512","url":null,"abstract":"<p>Acid-catalyzed oligomerization of 1-hexene and cyclohexene was performed over H-ZSM-5 at 260°C and 3.5 MPa. The product was distilled to separate the olefinic kerosene (120°C–280°C). To evaluate the impact of hydrotreating severity, the kerosene was hydrotreated over reduced Ni/Al₂O₃, and this was repeated nine times. Each kerosene was characterized in terms of distillation profile, vapor pressure, flash point, onset of freezing, density, viscosity, refractive index, and ASTM D3241 jet fuel thermal oxidative stability test (JFTOT). The unhydrotreated kerosene failed JFTOT due to deposit thickness, which was 289 nm (≤ 85 nm required to pass). Eight of nine hydrotreated kerosenes passed the JFTOT with deposit thickness in the range 3–26 nm. Alkene conversion of 33% was sufficient for the kerosene to pass JFTOT. Although fouling species were not identified, fouling species could be converted by mild hydrotreating (160°C, 2 MPa). More severe hydrotreating had no benefit in terms of kerosene properties or thermal oxidative stability. The most severely hydrotreated kerosene resulted in a deposit thickness of only 3 nm, and most remaining alkenes comprised of species where the alkene group was situated between two tertiary carbons.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"14 6","pages":"2930-2940"},"PeriodicalIF":3.4,"publicationDate":"2026-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70512","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148209091","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":"Disturbance-Resilient Voltage/Power-Quality Management for Islanded Inverters Using Self-Tuning Type-3 Fuzzy Controller","authors":"Man-Wen Tian,&nbsp;Jun-Bo Mao,&nbsp;Nurkhat Zhakiyev,&nbsp;Didar Yedilkhan,&nbsp;Ruslan Omirgaliyev,&nbsp;Du Changdong,&nbsp;Amirhossein Khosravi Sarvenoee,&nbsp;Ardashir Mohammadzadeh","doi":"10.1002/ese3.70507","DOIUrl":"https://doi.org/10.1002/ese3.70507","url":null,"abstract":"<p>This paper proposes a disturbance-resilient adaptive fuzzy sliding-mode control (AFSMC) strategy for off-grid (islanded) inverters using an interval type-3 (IT3) fuzzy logic system (FLS). An integral sliding surface is formulated to eliminate the reaching phase and ensure robust output-voltage regulation under lumped uncertainties. A model-based inductor-current reference with an embedded limiter is incorporated to provide overcurrent protection during abnormal operating conditions. To mitigate the chattering associated with conventional sliding-mode switching and to avoid relying on tight uncertainty bounds, the discontinuous term is replaced by a continuous IT3-FLS compensator. The rule weights, membership-function (MF) parameters of the IT3-FLS, and translation width are tuned online via Lyapunov-based adaptation laws. Comparative simulations and real-time co-simulation under load variations, DC-link fluctuations, filter-parameter perturbations, and master–slave inverter connection/disconnection events demonstrate improved tracking and power quality. The proposed controller reduces output-voltage THD to 0.81% (vs. 1.59% for SMC and 4.85% for PID) and lowers the control-input chattering index from <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 \u0000 <mrow>\u0000 <mn>2.2</mn>\u0000 \u0000 <mo>×</mo>\u0000 \u0000 <mn>1</mn>\u0000 \u0000 <msup>\u0000 <mn>0</mn>\u0000 \u0000 <mn>3</mn>\u0000 </msup>\u0000 </mrow>\u0000 </mrow>\u0000 </semantics></math> to <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 \u0000 <mrow>\u0000 <mn>1.7</mn>\u0000 \u0000 <mo>×</mo>\u0000 \u0000 <mn>1</mn>\u0000 \u0000 <msup>\u0000 <mn>0</mn>\u0000 \u0000 <mn>2</mn>\u0000 </msup>\u0000 </mrow>\u0000 </mrow>\u0000 </semantics></math>, while achieving up to 76.4% improvement in voltage MSE at the disturbance instant under parameter variations. The resulting IT3-FLS-based controller provides a practical and extensible framework for uncertain nonlinear power-electronic systems, with potential applicability to motor drives and related converter-based applications.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"14 6","pages":"2816-2838"},"PeriodicalIF":3.4,"publicationDate":"2026-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70507","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148209092","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":"Hydrogen Energy Research in Italy in the Bioeconomy Era","authors":"Mario Pagliaro","doi":"10.1002/ese3.70560","DOIUrl":"https://doi.org/10.1002/ese3.70560","url":null,"abstract":"<p>In 2026, the nearly concomitant launch of the world's first H₂-powered ship in Ancona, the completion of the first green H₂ pipeline to refuel some 100 hydrogen electric buses in Venice, the start of large-scale green ammonia production in Saudi Arabia using electrolyzers designed and manufactured in Italy, and the start of Italy's first electrolyzer “gigafactory” near Milan show evidence of the practical relevance of H₂ energy technology developed or uptaken in Italy. This study investigates hydrogen energy research in Italy in the bioeconomy era in which energy is sourced from renewable energy sources, and functional substances manufactured by the chemical industry are obtained from biological resources. The conclusions offer several policy lessons that may be of relevance both to policy makers and researchers based in other countries working toward development and commercialization of hydrogen energy technology.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"14 6","pages":"2692-2703"},"PeriodicalIF":3.4,"publicationDate":"2026-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70560","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148208928","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":"AI-Driven Optimization of a Hybrid PV–Wind–BESS Microgrid for a Rural Educational Institution in Developing Countries","authors":"Robiul Khan,&nbsp;Md. Wajed Ali,&nbsp;Md. Feroz Ali,&nbsp;Md. Shafiul Alam,&nbsp;Mohammad Ali,&nbsp;Imil Hamda Imran","doi":"10.1002/ese3.70509","DOIUrl":"https://doi.org/10.1002/ese3.70509","url":null,"abstract":"<p>Hybrid renewable microgrid planning in HOMER Pro often relies on outdated meteorological data sets, which can lead to inaccurate component sizing and misestimation of economic performance under future climatic conditions. This study develops a forecasting-integrated optimization framework for a grid-connected PV–wind–battery microgrid serving a rural school in Bangladesh. A hybrid CNN–LSTM model trained on 40 years of NASA POWER data generates long-term (2025–2050) projections, achieving an <i>R</i>² of 0.9803 and the lowest prediction errors among eight artificial intelligence models. The forecasted data are integrated into HOMER Pro to enable climate-informed system design. The optimal configuration (36 kW photovoltaic [PV], 15 kW wind turbine, 22 kWh battery energy storage system, 18.4 kW converter) delivers 62.84 MWh/year of electricity, including 47.30 MWh from PV and 10.90 MWh from wind, with only 4.64 MWh purchased from the grid and 31.11 MWh exported annually. The system achieves a net present cost of USD 29,744, a levelized cost of energy of 0.0397 USD/kWh, an operating cost of 19.55 USD/year, a renewable fraction of 91.7%, and negligible unmet load (0.0031%). A discounted payback period of 7.73 years and a 12.4% internal rate of return confirm its financial viability. Annual CO₂ emissions are reduced by 81.5% compared with grid-only operation. Sensitivity analysis identifies solar irradiance and discount rate as dominant performance drivers. These findings demonstrate that integrating accurate meteorological forecasting with hybrid microgrid optimization enhances renewable penetration, reduces fossil-fuel dependence, and improves long-term system reliability.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"14 6","pages":"2839-2873"},"PeriodicalIF":3.4,"publicationDate":"2026-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70509","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148208940","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":"Study on Deformation Law of Crossing Layer Drilling Superimposed Floor Roadway","authors":"Xiao Liu,&nbsp;Bo Li,&nbsp;Jiawei Xie,&nbsp;Xiaoming Ni,&nbsp;Shaoren Wei,&nbsp;Chengtao Yang,&nbsp;Yubo Zhang,&nbsp;Haixiao Lin,&nbsp;Wei Zhao,&nbsp;Tao Wang","doi":"10.1002/ese3.70504","DOIUrl":"https://doi.org/10.1002/ese3.70504","url":null,"abstract":"<p>Floor extraction roadway crossing layer drilling is a pivotal strategy for gas control in areas prone to coal and gas outbursts. However, this method often fails due to overburden pressure and mining stress, causing floor deformation and drilling blockage. To solve the problem for extracting gas of crossing coal layer drilling in the floor roadway, uniaxial compression tests on perforated specimens was carried out. And the plastic zone failure of crossing layer drilling was analyzed through numerical simulations in FLAC^3D with customized command flow. The study finds that drilling angle, drilling section, and coal-rock interface most affect borehole deformation. Hole sections show decreasing compressive strength: borehole mouth &gt; borehole body &gt; borehole bottom. The present investigation reveals that low dip angle drilling is particularly susceptible to complications such as borehole blockage and collapse. It is recommended to implement protective measures for low dip angle drilling.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"14 6","pages":"2752-2771"},"PeriodicalIF":3.4,"publicationDate":"2026-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70504","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148208876","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":"Interpretable Tree-Based Models for Predicting Short-Term Rockburst Risk Considering Multiple Factors","authors":"Shuai Chen,&nbsp;Linming Dou,&nbsp;Atao Li,&nbsp;Wu Cai,&nbsp;Lei Zhang","doi":"10.1002/ese3.70513","DOIUrl":"https://doi.org/10.1002/ese3.70513","url":null,"abstract":"<p>Rockbursts are typical dynamic disasters in underground coal mines. Their formation and occurrence are influenced by multiple factors, including geological conditions, mining disturbances, and microseismic activities. Machine learning models can support early warning by forecasting high-energy microseismic (MS) activity associated with elevated rockburst risk. However, many of these models are black boxes that are difficult for humans to understand, which may diminish their credibility and constrain their practical applicability. To establish interpretable models for short-term rockburst prediction considering multiple factors, we assess five tree-based models (decision tree, random forest, LightGBM, XGBoost, and CatBoost) using field databases from Gao Jiapu coal mine and utilize the model explanation method SHAP to interpret the models. A day is labeled as rockburst risk if its daily maximum MS energy exceeds 1 × 10⁵ J, otherwise no risk. The results revealed that CatBoost exhibited the highest overall performance, followed by LightGBM, and both the random tree and XGBoost performed better than the decision tree. When considering the influence of time window length, all models displayed optimal performance under a 3-day time window. Specifically, CatBoost achieved F1 scores of 0.856, 0.778, and 0.807 for the 3-day, 5-day, and 10-day time windows, respectively. Global feature importance analysis showed that the average energy, energy deviation, and cumulative energy were the three most important predictors. Furthermore, local SHAP values were drawn to reveal the complex underlying relationships between the 12 factors and model predictions. The results show that factors such as energy-related factors, coal depth, and working face advance positively contribute to rockburst risk prediction. Conversely, fold distance, total frequency, and source concentration degree negatively impact the model outcomes. The findings suggest that incorporating CatBoost and the SHAP method holds great potential in developing interpretable models for accurate rockburst risk prediction.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"14 6","pages":"2941-2960"},"PeriodicalIF":3.4,"publicationDate":"2026-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70513","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148209093","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 Prediction of Battery Pack Throughout the Entire Lifecycle Using Monte Carlo Algorithm and Joint Simulation of Multiple Physical Fields","authors":"Liteng Zeng,&nbsp;Chuanbo Weng,&nbsp;Fei Xu,&nbsp;Kangpei Meng","doi":"10.1002/ese3.70503","DOIUrl":"https://doi.org/10.1002/ese3.70503","url":null,"abstract":"<p>This article is based on the storage test of individual batteries. We combined the data analysis with the deductive simulation to predict the health status of the entire battery pack. Besides, we combined the storage process and discharge process of the battery pack based on the single-cell storage test. Finally, the full life cycle state of health (SOH) of the battery pack was obtained through Monte Carlo simulation. In the discharge performance stage, the three-dimensional structure of the battery pack during the discharge process was organically integrated and subjected to thermoelectric coupling simulation. The proposed MATLAB thermoelectric coupling simulation based on lumped parameter method not only reduces computational costs but also has high accuracy and feasibility. Thanks to the proposal of lumped parameter thermoelectric coupling simulation scheme, the simulation time has been significantly reduced, providing feasibility for the subsequent large number of Monte Carlo simulations. The method proposed by this research lays the foundation for estimating the full life cycle performance of batteries.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"14 6","pages":"2736-2751"},"PeriodicalIF":3.4,"publicationDate":"2026-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70503","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148209038","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":"Jet Flow Field Analysis of Convergent-Divergent Nozzle for Hydraulic Perforation for Natural Gas Hydrates","authors":"Wang Yingsheng,&nbsp;Yu Yanjiang,&nbsp;Shen Kaixiang,&nbsp;Zhou Jiawei,&nbsp;Zhang Kewei,&nbsp;Zeng Jing","doi":"10.1002/ese3.70519","DOIUrl":"https://doi.org/10.1002/ese3.70519","url":null,"abstract":"<p>The nozzle is a critical component of hydraulic sandblasting perforation tool used in hydrate reservoir stimulation, with its jet performance significantly influencing the penetration depth. The cavitation effect generated by convergent-divergent nozzle contributes to enhance jet performance. Thus, it exhibits better jet performance compared to conventional conical straight nozzle. In this study, the mixture multiphase flow model, the RNG k-ε model and the Schnerr-Sauer cavitation model are employed to numerically simulate the flow field of the convergent-divergent nozzle. When the outlet diameter and inlet velocity are fixed, the cavitation effect of nozzle and the influence of various structural parameters on jet performance are analyzed. Based on single-factor and orthogonal experimental analyses with axial velocity and vapor volume fraction as evaluation indices, the geometric structure of the convergent-divergent nozzle is preliminarily optimized as follows: contraction segment length = 16 mm, contraction angle = 30°, cylindrical segment length-diameter ratio = 1, diffusion segment length = 12 mm, and diffusion angle = 20°.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"14 6","pages":"3042-3055"},"PeriodicalIF":3.4,"publicationDate":"2026-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70519","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148208989","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":"Renewable Energy Use, Agricultural Productivity, and Economic Expansion Impact on Environmental Sustainability in India","authors":"Palanisamy Manigandan,&nbsp;Radulescu Magdalena,&nbsp;Duraisamy Pachiyappan,&nbsp;Nadia Sha,&nbsp;Marian Cristescu","doi":"10.1002/ese3.70515","DOIUrl":"https://doi.org/10.1002/ese3.70515","url":null,"abstract":"<p>This research aims to explore the effects of agricultural productivity and the use of renewable energy sources on India's CO₂ emissions while taking economic expansion into concern based on data during 1985–2022. This study applies the autoregressive distributed lag (ARDL) technique, dynamic-ordinary least square (DOLS), fully-modified ordinary least square (FMOLS), and gradual shift causality testing based on the paper's goal. The results unequivocal energy and that, whereas CO₂ emissions in India are lowered by agricultural productivity and renewable-energy consumption, CO₂ emissions are raised by economic expansion. When using ARDL, DOLS, FMOLS and estimators, the gradual shift causality test yields consistent findings. This paper proposed regulatory policy instruments that are powerful enough to prevent environmental deterioration in order to promote sustainable development.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"14 6","pages":"2983-2995"},"PeriodicalIF":3.4,"publicationDate":"2026-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70515","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148208827","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":"Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems","authors":"Sihem Ghoudelbourk,&nbsp;Habib Benbouhenni,&nbsp;Adil Yahdou,&nbsp;Zakaria Mohamed Salem Elbarary,&nbsp;Nicu Bizon","doi":"10.1002/ese3.70506","DOIUrl":"https://doi.org/10.1002/ese3.70506","url":null,"abstract":"<p>A viable approach to meet rising power demands and mitigate global warming is the installation of wind turbine systems (WTSs). However, variable wind speeds can significantly impact the energy output of these highly interconnected and nonlinear systems. As a result, maintaining energy quality and operational performance remains a major challenge for researchers and decision-makers. Although proportional–integral (PI) regulators and two-level converters are commonly used in WTSs, they may struggle under rapidly changing wind conditions. This study proposes a command technique for a WTS that utilizes a doubly fed induction generator (DFIG) to manage energy output amid fluctuating wind conditions. The proposed strategy improves current control and allows for independent management of DFIG power by integrating a matrix converter (MC) with a fractional calculus-based PI regulator. Unlike usual AC/DC/AC converters, the MC is an advanced AC/AC energy converter that offers enhanced voltage and frequency control along with bidirectional power flow. The effectiveness of the MC and fractional calculus-based PI regulator is evaluated in terms of minimizing torque ripples, reducing total harmonic distortion (THD), and regulating DFIG energy. MATLAB/Simulink simulations indicate that the new robust control outperforms usual algorithms by reducing torque fluctuations and current THD. A comparative analysis shows improvements in power overshoot, response time, THD, and power ripple mitigation. Furthermore, compared with the two-level converter systems, the new robust algorithm demonstrates greater strength against variations in wind conditions and system parameters.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"14 6","pages":"2785-2815"},"PeriodicalIF":3.4,"publicationDate":"2026-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70506","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148208941","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}