Energy Science & Engineering最新文献

{"title":"Energy, Exergy, Economic, and Environmental Analysis of the Reverse Osmosis Desalination System Using Photovoltaic Panels and Water Turbine, With the Approach of Design of Experiments","authors":"Saeed Ramazanian,&nbsp;Mahmoud Salimi,&nbsp;Mehdi Ali Ahyaei,&nbsp;Mohammad Mehdi Najafizadeh","doi":"10.1002/ese3.70141","DOIUrl":"10.1002/ese3.70141","url":null,"abstract":"<p>The provision of drinking water as one of the basic human needs is of great importance now. Today, many people in different parts of the world, especially in remote and rural areas, do not have access to fresh water. These areas usually have a high potential for using renewable energy. In this article, to increase access to fresh water for people living in remote villages, a water purification system using reverse osmosis technology and solar energy as well as water turbine energy recycling has been used. By combining a reverse osmosis system, solar panel, water turbine, and battery, three different arrangements including photovoltaic/reverse osmosis, photovoltaic/battery/reverse osmosis, and photovoltaic/water turbine/battery/reverse osmosis were investigated. The results show that the most efficient mode for purifying drinking water is the photovoltaic/water turbine/battery/reverse osmosis combination. Under these conditions, the maximum and minimum water desalination amounts reached an average of 150 and 115 L/day in summer and winter, respectively. Moreover, the amount of TDS in the output water decreased to 120 ppm. During the project, approximately 48 m³ of drinking water was produced, and the electricity produced from solar panels and water turbine was 242 and 32 kWh, respectively. Moreover, according to the output data from the Minitab software, the most important parameters affecting the responses of freshwater flow rate and salinity of fresh water are feed pressure and salinity of feed water, respectively.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 8","pages":"3856-3884"},"PeriodicalIF":3.4,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://scijournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70141","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144811139","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":"Front Cover Image","authors":"Goran Shirzad,&nbsp;Mehdi Assareh","doi":"10.1002/ese3.70181","DOIUrl":"10.1002/ese3.70181","url":null,"abstract":"<p>COVER CAPTION:</p><p>The cover image is based on the article <i>Dual Porosity Simulation of Gravity Drainage Mechanism Induced by Geological Acid Gas Storage in Naturally Fractured Reservoirs</i> by Mehdi Assareh et al., https://doi.org/10.1002/ese3.70094.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 6","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70181","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144244384","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 Regional Distributed Photovoltaic Power Forecasting Method Based on Cluster Division and Selection of Representative Plants","authors":"Honglu Zhu,&nbsp;Xi Zhang,&nbsp;Yuhang Wang,&nbsp;Huang Ding","doi":"10.1002/ese3.70171","DOIUrl":"10.1002/ese3.70171","url":null,"abstract":"<p>As the proportion of distributed photovoltaic (DPV) power generation in the energy structure increases, accurate forecasting of its power output is crucial for ensuring the stability and reliability of the power grid. The crux of DPV power forecasting lies in the effective division of DPV plant clusters and the selection of representative plants. To address these issues, the geographical location distribution information and power characteristics of DPV plants are utilized for cluster division to ensure that the power characteristics of DPV plants within the clusters are similar. Following this, the maximum difference algorithm is used to identify representative plants from each cluster, thereby reducing calculational load and enhancing forecasting efficiency. Subsequently, a Convolutional Neural Network (CNN)- Bidirectional Gated Recurrent Unit model (BiGRU) is constructed, which combines meteorological data and historical power data, to forecast the power of selected representative plants, and then aggregates these forecasts to get the overall forecasting results for the region. This model leverages the strengths of CNN in capturing spatial features and BiGRU in capturing temporal dynamics, thereby significantly improving forecasting accuracy compared to traditional methods. The proposed method demonstrated a high coefficient of determination (<i>R</i>² &gt; 0.91) across all four seasons, highlighting its superior forecasting performance. Compared to CNN-GRU, the proposed CNN-BiGRU model achieves higher accuracy of 4.5%. The main innovation of this paper is the systematic division of regional DPV plants cluster and the selection of representative plants. This approach offers an efficient and dependable technical solution for the power forecasting of DPV plants, advancing the field with its innovative methodology.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 9","pages":"4314-4329"},"PeriodicalIF":3.4,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://scijournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70171","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145037972","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":"Experimental Simulation Investigation on Mechanism and Criterion of Impact-Induced Rockburst in Gaoloushan Deep Tunnel","authors":"Chao Ren,&nbsp;Xiaoming Sun,&nbsp;Manchao He,&nbsp;DongQiao liu,&nbsp;JinKun Yang,&nbsp;Kunbo Zhang","doi":"10.1002/ese3.70160","DOIUrl":"10.1002/ese3.70160","url":null,"abstract":"<p>During the excavation of a deep-buried tunnel by the drilling and blasting method, the dynamic stress of blasting may cause the disorderly release of high energy in the rock mass during the blasting process of deep high-energy rock. Blasting vibration is one of the main factors inducing dynamic disasters (such as rockbursts) in the surrounding rock. An impact-induced rockburst occurred in the Gaoloushan deep-buried tunnel. In this paper, the simulation experiment of this type of rockburst was carried out by using the impact rockburst experimental system. The two rockbursts that occurred during the experiment formed “V” type pits, which were consistent with the on-site rockburst situation; therefore, it proved the rationality of this experiment. The results showed that the total displacement characteristics of impact-induced rockbursts had obvious suddenness, and the intensity of impact-induced rockbursts showed characteristics from weak to strong. In addition, it was also found that the rupture parameters of the rock mass in rockbursts showed a compound exponential growth relationship with time. As a typical mode of instantaneous rockburst failure, the mechanism of impact-induced rockburst could be regarded as the result of the combined action of shear crack and tension-shear crack, which played a dominant role, reflecting the characteristics of sudden fracture development. The generation of impact-induced rockbursts occurred when the peak value of static load and disturbance stress wave reached a certain value. On this basis, the rockburst criterion was proposed.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 8","pages":"4252-4266"},"PeriodicalIF":3.4,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://scijournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70160","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144811363","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-Emission Optimization of a Diesel Engine Blended With Biodiesel and Pentanol","authors":"Geetesh Goga,&nbsp;Deepam Goyal,&nbsp;Tarun Goyal,&nbsp;Krupakaran Radhakrishnan Lawrence,&nbsp;P. V. Elumalai,&nbsp;Sunil Kumar Mahla,&nbsp;Anil Singh Yadav,&nbsp;Subhendu Chakroborty,&nbsp;Nasim Hasan","doi":"10.1002/ese3.70164","DOIUrl":"10.1002/ese3.70164","url":null,"abstract":"<p>The quest for novel alternative fuel blends is fueled by the urgent need to address the inadequacy of fossil fuels and the escalating environmental concerns. While previous studies have primarily explored base fuel and minimally diluted alcohol content since the late 20th century, a significant research gap exists in the comparative analysis of biodiesel and alcohol blends. In this article, an attempt has been made to bridge that gap by investigating fuel mixtures containing varying proportions (5%–20%) of Jatropha oil-based biodiesel (JOBD) and Pentanol, evaluated across different Engine load (EL), JOBD, and Pentanol concentrations. Experimentation was conducted on a 4-stroke, single cylinder, direct injection vertical engine. A comprehensive experimental analysis was performed using the Taguchi approach and ANOVA by MINITAB17®, to assess key engine performance and emission characteristics—namely hydrocarbons (HC) emissions, brake-specific fuel consumption (BSFC), carbon monoxide (CO) emissions, and brake thermal efficiency (BTE). The higher values of raw data and S/N ratio for BTE were observed in the order of A3B1C1 and lower raw data and higher S/N values were achieved for BSFC, CO and HC as A3B1C1, A3B3C3 and A3B3C3 respectively. The higher values of S/N ratios for higher raw data values of BTE and lower values of BSFC, CO and HC were found to be in complete agreement to each other. The findings contribute the potential of biodiesel-pentanol blends as sustainable alternatives, promoting environmentally friendly solutions for the automotive industry.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 8","pages":"4190-4198"},"PeriodicalIF":3.4,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://scijournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70164","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144811308","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":"Design and Optimization of a Robust Wide-Area Damping Controller for Mitigating Inter-Area Oscillations in Wind-Integrated Power Systems","authors":"Mehrdad Ahmadi Kamarposhti,&nbsp;Hassan Shokouhandeh,&nbsp;Sun-Kyoung Kang,&nbsp;Ilhami Colak,&nbsp;El Manaa Barhoumi","doi":"10.1002/ese3.70161","DOIUrl":"10.1002/ese3.70161","url":null,"abstract":"<p>In power networks, low-frequency oscillations—particularly inter-area oscillations—pose a serious threat to system stability because of disruptions like short-circuit faults and the increasing use of renewable energy sources like wind farms. To lessen the negative impacts of time delays when sending distant signals, this study presents a novel approach for the creation and optimization of a wide-area damping controller (WADC). To accomplish smooth integration with the power system stabilizer (PSS), the Salp Swarm Algorithm (SSA) is used to precisely alter the WADC's parameters. The study also looks into how time delays, changes in wind speed, and load variations affect the effectiveness of the controller. A typical six-machine test system with 200 MW of wind power is used for simulations under various operating conditions and disruptions. The results show that the suggested controller counteracts the detrimental effects of time delays, considerably lowers inter-area oscillations, and preserves overall system stability. This study emphasizes the significance of wide-area signal usage and robust control frameworks while providing a workable method for enhancing the dynamic performance of power systems with significant penetration of renewable energy.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 8","pages":"4143-4158"},"PeriodicalIF":3.4,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://scijournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70161","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144811324","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":"Flexoelectric Effects of Nanoscale Electrical Materials Under Dynamic Conditions","authors":"Enaam Abdul khaliq Ali,&nbsp;Nadhim M. Faleh","doi":"10.1002/ese3.70175","DOIUrl":"10.1002/ese3.70175","url":null,"abstract":"<p>Material flexoelectricity is due to strain gradients at the material's small dimensions, and nanoelectronics more precisely enhances the heightened sensitivity at this reduced scale. Below, the study presents a sensitivity analysis in active applications, such as sensors and actuators, to these effects, focusing on how flexoelectricity enhances the responsiveness of vibrational frequencies and electromechanical coupling at the nanoscale. The dynamic properties of the flexoelectric nanobeam are modeled using nonlocal elasticity theory and solved numerically using the differential quadrature method (DQM), offering an efficient approach to analyse the governing equations. To date, it integrates the nonlocal elasticity theory, accounting for any scale-dependent behavior. The major equations governing the equilibrium of the beam are derived from Hamilton's principle, thereby offering firm groundwork for beam modeling. The results demonstrate that flexoelectric effects significantly influence the response and vibration frequencies of small-scale electronics; therefore, these effects should be considered in the design and optimization of nanoelectronics devices. Results provide insight into the device's improved performance and reliable functioning in real-world applications.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 9","pages":"4348-4355"},"PeriodicalIF":3.4,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://scijournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70175","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145037606","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":"Analysis of Gas-Bearing Properties of Shale Reservoirs: A Comprehensive Analysis Based on Field Interpretation and Logging Interpretation","authors":"Jin Pang,&nbsp;Tongtong Wu,&nbsp;Xinan Yu,&nbsp;Chunxi Zhou,&nbsp;Pei Yu,&nbsp;Haotian Chen,&nbsp;Jiaao Gao","doi":"10.1002/ese3.70170","DOIUrl":"10.1002/ese3.70170","url":null,"abstract":"<p>Shale gas, as an important component of unconventional natural gas, plays a crucial role in resource development. This paper proposes a comprehensive analytical method that combines field analysis and well logging interpretation to evaluate gas content in shale reservoirs. Core analysis experiments are conducted to obtain microscopic gas content data, and well logging parameters are calibrated and extended to reveal vertical and lateral distribution characteristics of the reservoir. In the analysis of typical wells in the study area, it is found that gas content in shale gas reservoirs is significantly influenced by total organic carbon (TOC) content, mineral composition, and pore characteristics. Micro-pores and meso-pores mainly store adsorbed gas, while macro-pores and micro-fractures are the primary storage space for free gas. The content of clay minerals significantly suppresses the total gas content and free gas volume, while quartz and TOC content enhance the gas storage capacity of the reservoir. The comprehensive analytical method proposed in this paper overcomes the limitations of single methods and establishes a framework for evaluating gas content in shale gas reservoirs from microscopic to macroscopic scales, providing a scientific basis for resource potential assessment and development planning.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 8","pages":"4241-4251"},"PeriodicalIF":3.4,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://scijournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70170","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144811244","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 Modeling Method for Meteorological Information of Regional Distributed Photovoltaic Power Generation Based on Multi-Source Information Fusion","authors":"Yuhang Wang,&nbsp;Dengxuan Li,&nbsp;Wenwen Ma,&nbsp;Xi Zhang,&nbsp;Honglu Zhu","doi":"10.1002/ese3.70167","DOIUrl":"10.1002/ese3.70167","url":null,"abstract":"<p>With the increasingly significance of distributed photovoltaic (DPV) generation in modern energy structures, requirements for intelligent operation and accurate power forecasting have grown significantly. Precise meteorological information is the foundation for achieving these functions. However, DPV sites are typically scattered with small installed capacities and generally lack dedicated weather stations. Consequently, developing effective, reliable, and cost-efficient meteorological information computation methods for DPV has become a critical research focus. The Current challenges in DPV meteorological information fusion computation include feature engineering, the reasonable selection of input variables and preliminary establishment of mapping relationships. Additionally, incomplete DPV power data further complicate the situation. To address these challenges, this paper proposes a meteorological information computation method based on multi-source information fusion. Firstly, the paper analyzes the mapping relationships among numerical weather predictions (NWP), DPV site power, and station meteorological information. This analysis demonstrates the possibility of information fusion. Then, a geographic information-based DPV power computation method is proposed to address the low quality of DPV data. Finally, a PV site meteorological information fusion method is developed using Long Short-Term Memory (LSTM) networks, integrating NWP and site power data. Verification using actual data confirms the effectiveness of the proposed methods. The RMSE and MAE for DPV site power calculation are as low as 0.13 and 0.60, respectively. The Pearson correlation coefficient for meteorological information fusion reaches a maximum of 0.99. These metrics outperform those of convolutional neural network (CNN), back propagation (BP), support vector machines (SVM), and theoretical calculation models, demonstrating excellent seasonal adaptability and calculation accuracy.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 8","pages":"4211-4229"},"PeriodicalIF":3.4,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://scijournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70167","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144811243","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 Grouted Steel Pipe Supports Roof Cutting and Gob-Side Entry Retaining Support Technology for Fully-Mechanized Caving Face","authors":"Xiaojun Li,&nbsp;Bangbang Mu,&nbsp;Huaizhen Li,&nbsp;Ruifu Yuan","doi":"10.1002/ese3.70149","DOIUrl":"10.1002/ese3.70149","url":null,"abstract":"<p>Aiming at the roof control challenges of gob-side entry retaining in fully mechanized top-coal caving faces, traditional concrete-filled steel tube (CFST) support technology exhibits limitations such as slow strength development and complex construction equipment. This study, based on the 1311 fully mechanized caving face in Shanxi Runhong Coal Mine, proposes a gob-side entry retaining technology integrating roof cutting for pressure relief with support by grouted steel tubes. Through physical experiments, numerical simulations, and field tests, the mechanical properties of sulphoaluminate cement-based backfill and grouted steel tube structures were analyzed. The results indicate that the sulphoaluminate cement-based slurry with a water-cement ratio of 0.4 exhibits remarkable early-strength characteristics, achieving compressive strengths of 30.85 and 31.26 MPa at 1 and 28 days, respectively. The support system attains the 28-day bearing capacity of traditional CFST within 24 h, effectively resolving the timeliness inadequacy of gob-side support. Increasing the steel tube wall thickness enhances the bearing capacity more significantly than material strength improvement, with notable stress concentration and bending deformation observed at the middle region during loading. These findings provide a theoretical basis for support parameter optimization. Field applications demonstrate that this technology ensures surrounding rock stability while offering advantages such as simplified construction and reduced labor costs. This study provides theoretical support for the development of gob-side entry retaining technology and offers practical guidance for its application in fully mechanized caving faces.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 8","pages":"3824-3839"},"PeriodicalIF":3.4,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://scijournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70149","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144811137","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}