Energy Science & Engineering最新文献

{"title":"Research on the Characteristics and Mechanisms of Supercritical CO2 Displacement of Shale Oil Under Nanoscale Confinement","authors":"Wei Dang,&nbsp;Xin Zhang,&nbsp;Jiao Zhang,&nbsp;Lindong Shangguan,&nbsp;Yawen He","doi":"10.1002/ese3.70184","DOIUrl":"10.1002/ese3.70184","url":null,"abstract":"<p>Shale reservoirs, characterized by compact pores, poor physical properties, and high organic matter content, exhibit significant differences in microscopic flow behavior compared to conventional oil reservoirs. These distinctions complicate the accurate assessment of shale oil reserves and the selection of optimal exploration and development strategies. Understanding the mechanisms and factors influencing microscopic flow in shale oil is crucial for both theoretical and practical aspects of shale oil exploration and development. In this study, molecular dynamics simulations employing the Grand Canonical Monte Carlo method were used to develop a microscale molecular dynamics model for n-octane (C₈H₁₈) adsorption on various adsorbents. Adsorption energies for organic materials (kerogen), brittle minerals (quartz, albite), carbonate minerals (calcite), and clay minerals (illite, kaolinite, montmorillonite) were calculated to evaluate the adsorption strength of shale oil and CO₂ on these adsorbents. Furthermore, a nonequilibrium molecular dynamics (NEMD) approach was utilized to model the CO₂ displacement of shale oil in different slit pores, exploring the flow characteristics and displacement mechanisms of supercritical CO₂ under nanoscale confinement. This investigation also considered the effects of CO₂ density, slit pore surface properties, and driving force magnitudes, providing essential theoretical and technical insights for assessing shale oil reserves and refining exploration and development strategies.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 9","pages":"4417-4432"},"PeriodicalIF":3.4,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://scijournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70184","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145038471","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":"Multi-Physics Pinhole Size Tolerance Analysis on the Leakage Characteristics and Performance of Proton Exchange Membrane Fuel Cells","authors":"Junyi Chen,&nbsp;Yuxuan Luo,&nbsp;Lan Zhang,&nbsp;Trevor Hocksun Kwan,&nbsp;Qinghe Yao","doi":"10.1002/ese3.70183","DOIUrl":"10.1002/ese3.70183","url":null,"abstract":"<p>This study delves into exploring how pinhole size affects both the electrochemical efficiency and hydrogen leakage within proton exchange membrane fuel cells (PEMFCs). The researchers devised a comprehensive multiphysics field model for the PEMFC and employed the finite element method to simulate various pinhole diameters, evaluating their impact. Our findings highlight that the influence of pinholes on fuel cell performance heavily relies on the inlet pressure. When maintaining a constant inlet pressure, pinholes smaller than 0.37 mm diameter exhibit minimal impact on fuel cell performance, maintaining hydrogen utilization rate above 90%. Conversely, the pressure disparity across the membrane notably amplifies hydrogen leakage rates, leading to reduced current density due to the oxidation of escaping hydrogen. Consequently, this decline affects hydrogen and oxygen concentrations downstream of the pinhole. Specifically, sustaining a 90% hydrogen utilization rate necessitates a pinhole diameter of 0.027 mm at an inlet pressure differential of 500 Pa. Establishing the acceptable pinhole size crucially informs the operational strategy for PEM fuel cells.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 9","pages":"4402-4416"},"PeriodicalIF":3.4,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://scijournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70183","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145038473","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":"Quantitative Evaluation of Sand Body Connectivity Based on the Support Vector Machine Algorithm: A Case Study of the Putaohua Oil Reservoir in the Daqing Oil Field, Songliao Basin, China","authors":"Hui He,&nbsp;Chang Liu,&nbsp;Lin Xie,&nbsp;Xianming Li,&nbsp;Chuixian Kong,&nbsp;Pengshan Ma,&nbsp;Shiyuan Li","doi":"10.1002/ese3.70186","DOIUrl":"10.1002/ese3.70186","url":null,"abstract":"<p>Taking the braided river reservoir of Pu-I Member of the Putaohua Oil Reservoir in the Daqing Lamadian Oil Field as an example, this study integrates data from field outcrops, well logging, and cores. Based on a precise characterization of the sand body structure, the contact relationships of the braided river reservoir sand bodies were systematically summarized. Three connectivity patterns of the braided river reservoir sand body in the lateral, longitudinal, and internal directions were established. The support vector machine (SVM) method was employed to quantitatively predict the connectivity of the reservoir sand bodies. Research findings indicate that by categorically optimizing the evaluation parameters of sand body connectivity and applying the SVM algorithm, the connectivity of sand bodies can be rapidly and accurately evaluated. Through mutual validation of dynamic and static data, the prediction accuracy reached 88%, compared with 81% for BP neural networks and 79% for fuzzy comprehensive evaluations. On this basis, a target-based geological modeling approach was adopted to establish a single sand body model controlled by 3rd to 4th level configuration interfaces. Leveraging the characterization of interlayers, the quantitative evaluation results of sand body connectivity obtained using the SVM method were utilized as deterministic data to assign conductivities to sand bodies across different zones and categories, thereby guiding the refined numerical simulation of oil reservoirs. This approach achieved the quantitative characterization and simulation of sand body connectivity coupled with interlayers and conductivities, and the numerical simulation results better reflect actual production conditions. These outcomes provide a new technical foundation for optimizing and adjusting oil field development in subsequent stages.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 9","pages":"4445-4460"},"PeriodicalIF":3.4,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://scijournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70186","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145037921","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":"Techno-Economic Assessment of Biofuels Production From Sugarcane Bagasse","authors":"Ayanda S. Buthelezi,&nbsp;Manimagalay Chetty,&nbsp;Amir H. Mohammadi","doi":"10.1002/ese3.70178","DOIUrl":"10.1002/ese3.70178","url":null,"abstract":"<p>The cooperative effect of climate change, rising fossil fuel prices and global fossil fuel depletion necessitates the production and use of renewable energy nationally and globally. The need for more energy-producing methods is growing as energy consumption rises. A techno-economic assessment (TEA) delivers an in-depth analysis of the financial feasibility of these processes, informing investment choices and policy development for biofuel advancement. Three biological biomass-to-fuel conversion routes were investigated in this study: fermentation for bioethanol production, anaerobic digestion (AD) for biogas production and dark fermentation (DF) for biohydrogen production. Aspen Plus software simulations were performed to process 51840 kg/h sugarcane bagasse (SCB). The discounted cash flow method was used for economic assessment using the tax rate of 28% and the discount rate of 12%, with a straight-line depreciation of 20% for 5 years. The plant life was assumed to be 25 years. The most profitable method was DF with an net present value (NPV) of 67.41 million USD, a payback period (PBP) of 3.3 years, an ROI of 1.51 and a PI of 7.95. Biogas production ranked second with an NPV of 37.57 million USD, a PBP of 4.4 years, an ROI of 1.16 and a PI of 5.85. Under conditions assumed in the study, bioethanol production was not feasible at all with the negative NPV. The project will not be able to recover its initial investment at the end of the plant's life.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 9","pages":"4270-4286"},"PeriodicalIF":3.4,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://scijournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70178","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145037851","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":"Joint Estimation of Lithium-Ion Battery Health Status and Remaining Service Life by Transfer Learning Based on PatchTST and Dynamic Weighted MSE Loss Function","authors":"Kaiyi Zhang,&nbsp;Xingzhu Wang","doi":"10.1002/ese3.70177","DOIUrl":"10.1002/ese3.70177","url":null,"abstract":"<p>This study proposes a transfer learning estimation method based on dynamic weighted kernel MSE (DWKMSE) loss function and PatchTST model for the joint estimation of lithium-ion battery health state (SOH) and remaining useful life (RUL). The PatchTST model divides battery aging characteristics into independent features through channel-independent operations, sharing the parameter weights and biases of the transformer backbone to reduce information redundancy and capture key information in each aging feature. The dynamic weighted kernel MSE loss function guides the PatchTST model to update parameter weights, enabling the model to fully learn the nonlinear characteristics of the degradation process and reduce the impact of outliers on the model during training. The effectiveness of the PatchTST model and DWKMSE loss function in the joint estimation of battery SOH and RUL was verified on different battery aging data sets. Finally, transfer learning was performed on two different battery aging data sets to validate the estimation performance of the proposed method under different usage conditions and materials. The experimental index showed that the average MAE value for SOH is 0.421, with an average <i>R</i>² value of 0.953; the average MAE value for RUL is 16.788, with an average <i>R</i>² value of 0.987. Experimental results show that compared with direct training methods, the MAE metric for SOH estimation based on transfer learning decreased by 17.1%, while the <i>R</i>² metric improved by 2.3%; the MAE metric for SOH estimation decreased by 18.6%, and the <i>R</i>² metric improved by 0.1%.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 9","pages":"4371-4386"},"PeriodicalIF":3.4,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://scijournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70177","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145037808","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":"CFD-Based Flow Field Optimization for High-Performance Anion Exchange Membrane Electrolyzers","authors":"Peng-Jen Chen,&nbsp;Chih-Chia Lin,&nbsp;Feng-Chia Hsu,&nbsp;Ching-Ying Huang,&nbsp;Yi-wei Wu","doi":"10.1002/ese3.70173","DOIUrl":"10.1002/ese3.70173","url":null,"abstract":"<p>The growing demand for sustainable energy solutions has increased the focus on hydrogen's role as a clean and renewable energy source. Hydrogen production through anion exchange membrane (AEM) electrolysis offers considerable advantages over traditional methods, such as lower reliance on costly precious metal catalysts and enhanced durability in alkaline environments. This study optimized AEM electrolyzer performance through computational fluid dynamics simulations, analyzing the effects of flow field parameters, diffusion layer properties, and channel geometries. The simulation results reveal that the diffusion layer thickness (1.6–2.44 mm) and porosity (0.2–0.9) substantially affect flow distribution and pressure drop, with a thinner mesh resulting in higher flow velocities near the electrode surface and a lower pressure drop, respectively. A nickel mesh improves flow uniformity but increases pressure drop, requiring a careful balance between efficiency and energy consumption. An optimized parameter combination (diffusion angle = 70°, inlet velocity = 0.3 LPM, and diffusion layer thickness = 1.92 mm) identified through response surface methodology and the genetic algorithm resulted in a 20% performance improvement over the baseline design. This research provides valuable insights into the design of AEM electrolyzers, supporting their development as a cornerstone technology for green hydrogen production.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 9","pages":"4330-4347"},"PeriodicalIF":3.4,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://scijournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70173","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145037810","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":"Bolt Anchorage Quality Levels Classification Method Based on HO-VMD-CNN-BiLSTM","authors":"Fan Kesong,&nbsp;Zhang Can,&nbsp;Liu Shaowei,&nbsp;Feng Mengyin,&nbsp;Yan Ao,&nbsp;Fu Mengxiong,&nbsp;He Deyin,&nbsp;Nie Zhibin","doi":"10.1002/ese3.70162","DOIUrl":"10.1002/ese3.70162","url":null,"abstract":"<p>At present, ultrasonic guided wave nondestructive testing technology is widely used in the detection of bolt anchorage defects. Traditional detection methods are confronted with problems such as serious signal noise interference, low detection accuracy, and poor real-time performance. In this paper, a new model named HO-VMD-CNN-BiLSTM is proposed to optimize the accuracy of signal decomposition and quality classification. The model accurately identifies internal defects in bolts through precise signal decomposition and feature extraction, achieving a high classification accuracy of 96.78% even in a complex noise environment. The model incorporates the Logistic-Tent chaotic mapping optimization algorithm, which enhances global search capability, improves feature extraction, and increases detection efficiency and accuracy. The HO-VMD-CNN-BiLSTM model offers an innovative and efficient solution for nondestructive testing of the bolt anchorage quality, enabling high-precision structural assessments while addressing the issues of signal noise interference and feature extraction in traditional inspection methods. By overcoming challenges related to signal noise interference and feature extraction, the model provides technical support for real-time monitoring and intelligent assessment of bolt anchorage quality.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 8","pages":"4159-4177"},"PeriodicalIF":3.4,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://scijournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70162","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144811412","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 of Integrated Energy Systems With CCHP-P2G on FTS Operation Strategy Using a Matrix Modeling Approach","authors":"Hui Lu,&nbsp;Hongzhi Lu,&nbsp;Zhuojia Xu,&nbsp;Wendong Huang,&nbsp;Heng Wu,&nbsp;Huiwen Zhang,&nbsp;Aoli Wang,&nbsp;Yufang Chang","doi":"10.1002/ese3.70049","DOIUrl":"10.1002/ese3.70049","url":null,"abstract":"<p>With carbon peaking and carbon neutrality goals, the integrated energy system (IES) is an effective way to achieve energy transition. To improve energy efficiency and reduce carbon dioxide emissions of the IES, a model of IES with CCHP-P2G and the FTS operation strategy is proposed. Firstly, a matrix modeling method is adopted in this model. This effectively improves the accuracy of system modeling. Meanwhile, a correction matrix is used to describe uncertain factors such as energy storage and renewable energy. Besides, this paper proposes the FTS operation strategy to avoid heating waste problems in traditional operation strategy, such as FEL and FTL. In the end, a method akin to a per-unit value is applied to structure evaluation criteria. The superiority of the proposed method is verified by the simulation results. The results demonstrate that the proposed model using CCHP-P2G and FTS operation strategy can improve the utilization of renewable energy, and reduce carbon emissions and thus achieve reductions in total operation costs and carbon emissions.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 7","pages":"3491-3502"},"PeriodicalIF":3.4,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70049","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144614976","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":"Research on IDS Water Injection for Prevention of Dynamic Disasters in High-Stress Low-Adsorption Coal Seams","authors":"Guochuan Zhang,&nbsp;Na Li,&nbsp;Haiqing Zhang,&nbsp;Qinming Wang,&nbsp;Xinping Zhang,&nbsp;Yanfei Zhu","doi":"10.1002/ese3.70158","DOIUrl":"10.1002/ese3.70158","url":null,"abstract":"<p>The deep coal seams in the Pingdingshan mining area are characterized by high stress and low adsorption capacity. Existing water injection additives have proven ineffective in preventing dynamic disasters. Research has found that IDS (iminodisuccinic acid tetrasodium salt) can dissolve minerals in coal, significantly improving the connectivity of coal pores and effectively enhancing coal seam wettability and permeability. Physical and mechanical property tests were conducted on coal samples before and after IDS solution immersion to determine the optimal water injection solution concentration, and industrial-scale experiments were carried out on-site. The results show that after IDS interaction with coal, the physical and mechanical properties of coal samples changed significantly, resulting in a significant reduction in impact proneness. At a concentration of 1000 μg/mL, the elastic energy index, impact energy index, uniaxial compressive strength, and time to dynamic failure of coal samples decreased by approximately 75%, 20%, 25%, and 50%, respectively. Industrial trials were conducted in the Ji_16–17-22240 working face of Pingmei No. 11 Mine. The addition of IDS in water injection increased the coal seam moisture content by 2–3 percentage points, achieving a wetting radius of over 1.5 m, significantly enhancing the disaster prevention effect of water injection. This study provides a new approach and technical support for the prevention of dynamic disasters in deep high-stress low-adsorption coal seams, which is of great significance for ensuring coal mine safety.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 8","pages":"4114-4130"},"PeriodicalIF":3.4,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://scijournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70158","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144805834","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":"A New Add-On Flap for Performance Improvement of Small Horizontal Axis Wind Turbines","authors":"Nima Alizadeh,&nbsp;Alireza Jahangirian","doi":"10.1002/ese3.70168","DOIUrl":"10.1002/ese3.70168","url":null,"abstract":"<p>In the present study, two types of add-on flaps tangential to the camber line of small horizontal axis wind turbine blade are introduced and their performances on the production power are investigated. The wind turbine of Berlin University (TU-BERT) is used as the base turbine and the flaps' length, angle, and their locations on the blade are selected as geometric variables. The generated turbine power is calculated numerically by solving three-dimensional Navier–Stokes equations with a finite volume method using SST <i>k</i>–ω turbulence model. After parametric study considering the effects of flap geometric variables on the production power, a proper arrangement of flaps is proposed. Results show that the straight and curved flaps with the best flap arrangement are able to increase the power coefficient of the wind turbine by 5.8% and 10.5%, respectively, at the rated wind speed of 5.5 m/s and tip speed ratio of 4.5.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 8","pages":"4230-4240"},"PeriodicalIF":3.4,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://scijournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70168","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144805835","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}