Energy Science & Engineering最新文献

{"title":"Numerical Simulation Study on Solid-Carrying Capacity of Mixed Hydrate Slurry in Horizontal Pipe","authors":"Yongchao Rao,&nbsp;Chenglong Zhang,&nbsp;Shuli Wang,&nbsp;Yunxiao Wang","doi":"10.1002/ese3.70138","DOIUrl":"10.1002/ese3.70138","url":null,"abstract":"<p>Solid fluidization method is a green mining method developed for non-diagenetic gas hydrate deposits on the sea floor. The gas hydrate can be safely and controllably transported to land through safe conveying, and the system includes seabed mining, closed fluidization, and gas–liquid–solid multiphase lifting. However, many technical problems are involved in the process of multiphase lifting, such as hydrate and sediment fluidification, and the improvement of pipeline transport capacity. Based on the above problems, taking seawater, solid hydrates and sediment as the research objects, a numerical simulation study was carried out on the hydrate sediment mixed slurry in a horizontal tube with the guide strip rotating throughout the whole process, so as to explore the solid-carrying capacity of spiral flow, expand the safety boundary of multiphase flow, and make a comparison and analysis with the ordinary light tube. The effects of hydrate volume fraction and Reynolds number on the average density, velocity, solid phase volume fraction distribution and pressure of hydrate slurry were studied. The results show that the mean slurry density decreases with the increase of hydrate volume fraction, and the effect of Reynolds number on the axial flow velocity is greater than that on the tangential flow velocity. When centrifugal force is dominant, solid hydrates are mainly distributed in the pipeline axis, while sediment particles are mainly distributed in the windward side of the diversion strip. In the ordinary pipe, solid hydrates are mainly distributed at the top of the pipe, while sediment particles are mainly distributed at the bottom of the pipe. When Re = 30,000, the critical volume fraction of hydrate plugging in the horizontal spin-tube is 57%, and that in the horizontal optical tube is 31%. The transport capacity of the spin-tube for solid hydrates increases by 84% under the same conditions. The pressure drop of the full spinning tube is about 14% higher than that of the ordinary optical tube.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 8","pages":"3903-3918"},"PeriodicalIF":3.4,"publicationDate":"2025-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://scijournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70138","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144809348","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":"Workflow Design and Operational Analysis of a Coal-Based Multi-Energy Combined Supply System for Electricity, Heating, Cooling, and Gas","authors":"Shiwei Yu,&nbsp;Dedong Li,&nbsp;Zhongyi Zuo,&nbsp;Mingjie Feng","doi":"10.1002/ese3.70137","DOIUrl":"10.1002/ese3.70137","url":null,"abstract":"<p>The combined cooling, heating, and power (CCHP) system, as a typical representative of novel distributed energy systems, demonstrates significant advantages in the cascade utilization of energy and the control of transmission and distribution losses. However, the inherent reliance of traditional CCHP systems on natural gas as fuel structurally conflicts with China's energy endowment, characterized by abundant coal and scarce natural gas, severely limiting their large-scale application. To adapt to this energy consumption profile and fully leverage the strengths of CCHP systems, this study establishes a coal-fueled electricity-gas-heating-cooling polygeneration system based on physical and mathematical models within the Aspen Plus 9.0 commercial simulation platform. The reliability of the proposed model is validated through comparisons with data from relevant literature. To identify the optimal operating parameters, the effects of coal-water slurry concentration and oxygen-to-coal ratio on key gasification indicators (e.g., gasifier temperature, syngas composition, syngas calorific value, and cold gas efficiency) and system output loads (e.g., electricity, heating, cooling, and municipal gas) are systematically investigated. Finally, a comprehensive simulation of the entire system is conducted, with energy and exergy analyses performed on major functional units. The results indicate that coal-water slurry concentration and oxygen-to-coal ratio significantly influence gasifier temperature, syngas composition, calorific value, and cold gas efficiency. The system achieves optimal performance at an oxygen-to-coal ratio of 1.05 and a coal-water slurry concentration of 65%. Under design conditions, the system attains a comprehensive energy efficiency of 66.18% and an exergy efficiency of 34.43%. This study provides an innovative solution to address technological bottlenecks in China's energy transition, not only enhancing the efficiency of clean coal utilization but also offering a new technical pathway for coal-fired power transformation under the “dual carbon” goals (carbon peaking and carbon neutrality).</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 7","pages":"3791-3805"},"PeriodicalIF":3.4,"publicationDate":"2025-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70137","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144615470","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":"Feasibility Study of a 200 kWp Solar PV System for Residential Camps in Remote Locations: Case Study of Ndawara Tea Estate, Cameroon","authors":"Yvan Ayuketah,&nbsp;Wirnkar Basil Nsanyuy","doi":"10.1002/ese3.70143","DOIUrl":"10.1002/ese3.70143","url":null,"abstract":"<p>This study evaluates the feasibility of designing and implementing a 200 kWp solar photovoltaic (PV) system for the residential camp at Ndawara Tea Estate, Cameroon. The study aims to provide a sustainable and reliable power supply for workers and their families living in remote locations with limited grid access. Using PVSyst software, the system was designed, sized, and simulated to assess its technical and economic viability. The results indicate that a 200 kWp fixed-tilted grid-connected solar PV system can generate 389 MWh of electricity annually at a levelized cost of energy of 0.0715 USD/kWh, which is lower than average household electricity tariffs in Cameroon. The system also achieves an average performance ratio (PR) of 84.7%, with strong financial indicators supporting its viability. While results may differ for other plantation communities due to site-specific conditions, Cameroon's high solar irradiation makes solar PV generation a practical and effective solution. The study concludes that solar PV systems can provide sustainable and affordable electricity for plantation communities, improving energy access, and reducing reliance on costly and unreliable power sources.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 8","pages":"3945-3953"},"PeriodicalIF":3.4,"publicationDate":"2025-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://scijournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70143","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144809347","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 Comparative Life Cycle Assessment of Residential Heating Systems in Tehran, Iran","authors":"Hossein Vahidi,&nbsp;Mohsen Esfahanizadeh","doi":"10.1002/ese3.70129","DOIUrl":"10.1002/ese3.70129","url":null,"abstract":"<p>Environmental pollution from different gas heating systems in residential buildings has significant impacts, especially in urban areas due to their high density. This study conducts a comparative life cycle assessment of two commonly used residential heating systems in Tehran: the Central Boiler Room (CBR) and the wall-hung boiler (WHB). Using OpenLCA (version 1.10) software and the Ecoinvent 3.7 database, the environmental impacts of natural gas consumption for both systems were evaluated across key categories, including global warming potential (GWP100), human toxicity potential, acidification potential, and terrestrial ecotoxicity potential. The analysis revealed that the environmental impacts of the CBR were consistently higher than those of the WHB, with average differences of 12% for all impact categories. The disparity is attributed to the greater natural gas consumption, lower combustion efficiency, and higher maintenance requirements of the CBR. The study also highlights the significant contribution of pollutant emissions such as NOx, lead, and mercury to human health risks, particularly in Tehran's urban context, where air quality is a critical concern. While the focus of the research was on the operational phase of the systems, construction and installation factors, such as energy use for pumping and piping, were also considered for the CBR. Given Tehran's climatic and geographic constraints, renewable technologies such as solar or geothermal energy were not included, as they are neither conventional nor widely feasible. The findings suggest that the WHB is a more sustainable heating option for Tehran, offering reduced environmental impacts and operational advantages. This study provides valuable insights for policymakers and stakeholders aiming to optimize residential heating solutions in urban areas.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 7","pages":"3515-3524"},"PeriodicalIF":3.4,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70129","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144614985","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":"Identification of Low-Value Defects in Infrared Images of Porcelain Insulators Based on STCE-YOLO Algorithm","authors":"Shaotong Pei,&nbsp;Weiqi Wang,&nbsp;Chenlong Hu,&nbsp;Keyu Li,&nbsp;Haichao Sun,&nbsp;Mianxiao Wu,&nbsp;Bo Lan","doi":"10.1002/ese3.70136","DOIUrl":"10.1002/ese3.70136","url":null,"abstract":"<p>Insulators, as a key component of the power system, their low-value defect detection is of great significance to ensure the safe and stable operation of the power system. However, traditional detection methods have many shortcomings in the face of a complex environment and small target recognition. To solve the above problems, this paper optimizes the small target and complex environment problems in the low-value defect recognition of insulator infrared images, and proposes the STCE-YOLO algorithm: based on YOLOv8, the deformable large kernel attention is used to improve the detection ability of small targets; then the cross-modal contextual feature module is applied to Integrate the features of different scales to reduce the computation of the model. And the multiple attention mechanism improved to the third generation of variability convolution is used to detect the head to improve the accuracy of the algorithm's target localization. Finally, the SIoU loss function is employed to further enhance performance in complex scenes containing small targets. Experimental validation has shown that the STCE-YOLO algorithm proposed in this paper achieves an average improvement of 7.64% in mAP compared to the original YOLOv8, with GFLOPs reduced from 8.1 to 7.7. This meets the requirements for identifying low-value defects in small target insulators. Furthermore, ablation and comparative experiments have demonstrated the effectiveness and superiority of the proposed algorithm.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 7","pages":"3779-3790"},"PeriodicalIF":3.4,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70136","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144614986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Numerical Calculation of the Influence of Working Conditions and Rotational Speed on Pressure Pulsation of a Self-Priming Pump","authors":"Hai-Bing Jiang,&nbsp;Shao-Han Zheng,&nbsp;Yu-Liang Zhang,&nbsp;Liang-Huai Tong,&nbsp;Jin-Fu Li,&nbsp;He-Chao Guo","doi":"10.1002/ese3.70144","DOIUrl":"10.1002/ese3.70144","url":null,"abstract":"<p>To accurately determine the pressure fluctuation characteristics of a specific self-priming pump, a full three-dimensional computational model was established, including the S-tube, impeller domain, volute domain, gas-liquid separation chamber, front and rear cavities, wear ring clearance, and reflux hole. Based on CFD methods, the numerical study investigated the effects of three flow rate conditions and three rotational speeds on pressure fluctuation characteristics. The study also analyzed the variations in radial and axial force distributions and further revealed pressure fluctuation characteristics using standard deviation. The research found that the pressure fluctuation amplitude is the largest under low flow rate conditions with the maximum amplitude reaching 0.115. As the pump inlet flow rate increases, the radial force fluctuations decrease. The asymmetry of the volute structure results in less pronounced periodic changes in the radial force vector distribution. With increasing rotational speed, the pressure fluctuation amplitude near the eighth section of the volute and the volute tongue becomes particularly intense, especially under high-speed conditions, where the fluctuation amplitude near the tongue reaches 0.25.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 8","pages":"3954-3978"},"PeriodicalIF":3.4,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://scijournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70144","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144809294","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 Property Prediction and Simulation Analysis of Hydrogen-Doped Natural Gas Pipeline","authors":"Lianghui Guo,&nbsp;He Zhang,&nbsp;Ran Liu,&nbsp;Keke Zhi,&nbsp;Xinzhe Li","doi":"10.1002/ese3.70135","DOIUrl":"10.1002/ese3.70135","url":null,"abstract":"<p>Hydrogen-doped natural gas, a blend of hydrogen and natural gas, has emerged as a promising candidate due to its potential to reduce greenhouse gas emissions and enhance energy efficiency. However, the physical properties and operational dynamics of hydrogen-doped natural gas restrict the efficient operation of natural gas pipelines. Physical properties and operational dynamics of hydrogen-doped natural gas pipelines are investigated to combine machine learning techniques and simulation models, which promote the development of zero carbon emission energy, hydrogen energy, thereby contributing to the reduction of global carbon emissions. The REFPROP software is utilized to construct databases for predicting the physical properties of hydrogen-doped natural gas. Among various machine learning models, the Wide Neural Network emerges as optimal, exhibiting an exceptional R² value exceeding 0.9999 and the ability to predict over 264,000 data points per second for density and viscosity. Additionally, a simulation model is developed and rigorously validated against COMSOL 5.0 commercial software, demonstrating its capability to accurately simulate pipeline operations. Matching the calorific value of hydrogen-doped natural gas is very important to ensure downstream energy supply and production operations' efficiency. Thus, various operation cases such as constant pressure and constant calorific value were studied. Overall, this study provides valuable insights into optimizing hydrogen-doped natural gas pipeline operations and advancing green energy initiatives.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 7","pages":"3765-3778"},"PeriodicalIF":3.4,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70135","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144615427","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":"Wastewater Treatment for Energy Conservation and Zero Carbon Footprint: A Review","authors":"Ravikumar Jayabal,&nbsp;Rajkumar Sivanraju","doi":"10.1002/ese3.70142","DOIUrl":"10.1002/ese3.70142","url":null,"abstract":"<p>This article explores innovative wastewater treatment (WWT) methods that promote energy conservation and a zero-carbon footprint. It emphasizes the transition to sustainable WWT practices by focusing on resource recovery, energy efficiency, and reducing greenhouse gas emissions. The study employs a comprehensive literature review to assess various technologies based on their effectiveness in pollutant removal while conserving energy. It includes only methods that have been successfully implemented or show strong potential for practical use. The research integrates industry reports, case studies, and peer-reviewed articles to evaluate accessible technologies and policy frameworks supporting sustainable WWT adoption. Innovative solutions are identified to address the challenges of traditional methods, such as high energy consumption and inadequate pollutant removal. The study also highlights the importance of nutrient removal to prevent eutrophication. In conclusion, the article advocates adopting cutting-edge WWT technologies that enhance energy efficiency and contribute to carbon neutrality. It underscores the necessity of ongoing innovation in wastewater management to address environmental challenges. By transforming WWT into a more sustainable and efficient process, these advancements benefit both the environment and public health, reinforcing the importance of integrating advanced technologies and supportive policies in achieving sustainable water treatment.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 7","pages":"3806-3820"},"PeriodicalIF":3.4,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70142","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144615494","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":"Assessing the Impact of Artificial Intelligence and Green Finance on Energy Efficiency: Based on Super-Efficiency SBM and Tobit Two-Stage Models","authors":"Hongji Zhou,&nbsp;Rong Wang","doi":"10.1002/ese3.70132","DOIUrl":"10.1002/ese3.70132","url":null,"abstract":"<p>To enhance energy efficiency (EE) and achieve sustainable development. This study measures EE through super-efficiency SBM model, and verifies artificial intelligence (AI) and green finance (GF) impact on EE by Tobit model, conclusions as follows: (1) The EE of each region and the country is the spread of the low, with a lot of opportunity for improvement. The EE decreases in the following order: the regions in eastern, central, and western. (2) At the national level, AI has a significant positive effect on EE, implying that advances in AI can effectively improve EE. From different regions, AI impact on EE in both the eastern and central regions shows positive effect, and the effect in the central is larger than that eastern, while in the western region is positive but statistically insignificant. (3) At the national level, GF promotes EE but the elasticity coefficient is small; in the eastern region, GF has the biggest effect on EE, while in the central and western regions, it has weaker effects on EE. (4) Energy endowment inhibits EE; environmental regulation can promote EE at the national and regional levels, with the biggest effect in the eastern region and the least effect in the western region. The industrial structure coefficient in all regions reduces the EE. The technology level inhibits EE only in the central region. The thesis through the analysis of the relationship between the three and the reliability of the conclusions drawn from the analysis, to be able to better play the GF and AI in the energy sector of the policy implementation effect, effectively improve EE, improve the energy structure, for the comprehensive promotion of the energy transition is of great significance.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 7","pages":"3727-3740"},"PeriodicalIF":3.4,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70132","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144615275","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":"The State-of-the-Art of Cuttings Transport Measurements","authors":"Song Xuncheng,&nbsp;Shi Jiaming,&nbsp;Shi Yucai,&nbsp;Wang Wei","doi":"10.1002/ese3.70133","DOIUrl":"10.1002/ese3.70133","url":null,"abstract":"<p>Inadequate borehole cleaning is the primary cause of over 60% of downhole accidents in extended-reach wells. Since the 1970s, researchers have been committed to experimental and theoretical studies on cuttings transport in extended-reach wellbores, aiming to provide reliable experimental data and theoretical frameworks for the accurate prediction and diagnosis of borehole cleaning conditions. This paper systematically reviews the advancements in cuttings transport research, focusing on experimental setups, key influencing factors, and borehole cleaning evaluation methods. Despite extensive studies, existing experimental flow loops have limitations in replicating field conditions, and traditional predictive models struggle to capture the nonlinear interactions between drilling parameters. The review highlights the need for large-scale experimental systems (311 mm diameter) to improve measurement accuracy and visualization of cuttings transport. Additionally, artificial neural networks offer a promising approach to enhance prediction accuracy by addressing the complex relationships between engineering factors and borehole cleaning efficiency. These insights provide a foundation for optimizing drilling operations and improving wellbore stability in extended-reach wells.</p>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 7","pages":"3741-3752"},"PeriodicalIF":3.4,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70133","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144615164","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}