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Experimental investigation of acid-rock reaction kinetics and fracture conductivity under ultra-high temperature carbonate reservoir conditions 超高温碳酸盐岩储层条件下酸岩反应动力学及裂缝导流性实验研究
IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-12-01 DOI: 10.1016/j.rineng.2025.108522
Juan Du , Hui Shu , Yiquan Shi , Qi Zou , Pingli Liu , Jinming Liu , Xiang Chen , Jinlong Li , Wenhao Tian
Ultra-high-temperature carbonate reservoirs (∼200 °C) exhibit extremely rapid acid–rock reactions, leading to shallow penetration and limited effectiveness of conventional acidizing treatments. In this study, a high-temperature rotating disk reactor and rock-plate etching device were used to systematically evaluate the reaction kinetics, etching morphology, and fracture conductivity of five acid systems—HCl, gelled acid, acetic acid, DTPA, and self-generating acid—at 200 °C. Results show that the reaction rate follows the order HCl > gelled acid > HAc > DTPA > self-generating acid, while the degree of non-uniform etching exhibits the opposite trend. HCl dissolves rock rapidly but generates nearly uniform surfaces with poor conductivity. Gelled acid produces the strongest non-uniform etching and the highest initial fracture conductivity, though its retardation weakens at higher concentrations due to polymer degradation. Weak acids (HAc, DTPA, and self-generating acid) remain reaction-controlled and exhibit stable retardation at 200 °C, maintaining deeper penetration than strong acids. Quantitative morphology analysis and conductivity testing confirm that fracture conductivity is governed jointly by etching depth and heterogeneity, rather than dissolution volume alone. Engineering results suggest that, for reservoirs exceeding 180 °C, combining gelled acid with a weak-acid system can effectively control reaction rate, enhance non-uniform etching, and create high-conductivity acid-etched fractures. This study provides the first systematic kinetic and etching-conductivity framework at 200 °C, offering practical guidance for acid selection and treatment design in ultra-deep carbonate formations.
超高温碳酸盐岩储层(~ 200°C)表现出极快的酸岩反应,导致侵透浅,常规酸化处理的效果有限。本研究采用高温旋转圆盘反应器和岩板蚀刻装置,系统评价了hcl、胶凝酸、乙酸、DTPA和自生酸5种酸体系在200℃下的反应动力学、蚀刻形貌和断裂导电性。结果表明,反应速率遵循HCl >;胶凝酸>; HAc > DTPA >;自生酸的顺序,而非均匀蚀刻的程度则相反。盐酸能迅速溶解岩石,但产生的表面几乎均匀,导电性差。胶凝酸产生最强的不均匀腐蚀和最高的初始断裂导电性,尽管由于聚合物降解,其缓凝作用在浓度较高时减弱。弱酸(HAc、DTPA和自生酸)在200°C时仍能控制反应,表现出稳定的阻滞作用,比强酸保持更深的渗透。定量形貌分析和导电性测试证实,裂缝导电性是由腐蚀深度和非均质性共同决定的,而不仅仅是溶蚀体积。工程结果表明,对于温度超过180℃的储层,将胶凝酸与弱酸体系相结合,可以有效控制反应速率,增强腐蚀不均匀性,形成高导电性酸蚀裂缝。该研究提供了第一个系统的200°C下的动力学和蚀刻电导率框架,为超深碳酸盐岩地层的酸选择和处理设计提供了实用指导。
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引用次数: 0
Machine learning nested MCDM model to enhance decision reliability for transport safety engineering 机器学习嵌套MCDM模型提高交通安全工程决策可靠性
IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-12-01 DOI: 10.1016/j.rineng.2025.108543
Xingjian Zhang , Nanbo (Aaron) Zhang , Jialin Li , Qintao Li , Xingze Liu , Chuanpu (Lukas) Cao , Hao Mao , Ruikang Yan , Yunlong Qi , Xinyi (Chenny) Yang , Jialun Li , Aaron Kaiqiang Zhou , Xu Yan , Hanrui Feng , Faan Chen
Ensuring robust and defensible decision is a critical attribute of multi-criteria decision-making (MCDM) activities, particularly in public sector decision-making (e.g., transport safety engineering). To this end, this study introduces an advanced machine learning embedded MCDM model that integrates the preference selection index (PSI), an alternative ranking order method accounting for two-step normalization (AROMAN), and a Gaussian mixture model (GMM), i.e., PSI–AROMAN–GMM, aiming to provide a reliable decision support system in transport safety engineering. In particular, the proposed model incorporates a machine learning algorithm (i.e., t-distributed stochastic neighbor embedding (t-SNE)) to reduce the computational load and enable efficient handling of large datasets. Specifically, this approach addresses the challenge faced by conventional GMM in uncertain initialization and identification of distinct natural clusters, and it also resolves the issue of GMM in setting correct number of Gaussian components to avoid the model overfitting or underfitting. Through a case study on transport safety engineering for G20 countries, multilevel empirical comparisons validate the robustness of the proposed model, highlighting its practicality and efficiency in informing reliable decisions and policy insights. Overall, this study provides decision-makers, practitioners, and engineers with a comprehensive framework for handling real-world socio-economic activities, especially in transport safety engineering across varied national contexts, with substantial reliability and applicability.
确保稳健和可防御的决策是多标准决策(MCDM)活动的关键属性,特别是在公共部门决策(例如,运输安全工程)中。为此,本研究引入了一种先进的机器学习嵌入式MCDM模型,该模型集成了偏好选择指数(PSI)、两步归一化替代排序法(AROMAN)和高斯混合模型(GMM),即PSI - AROMAN - GMM,旨在为运输安全工程提供可靠的决策支持系统。特别是,所提出的模型结合了机器学习算法(即t分布随机邻居嵌入(t-SNE)),以减少计算负荷并实现对大型数据集的有效处理。具体而言,该方法解决了传统GMM在不确定初始化和不同自然聚类识别方面面临的挑战,并解决了GMM在设置正确的高斯分量数以避免模型过拟合或欠拟合方面的问题。通过对G20国家运输安全工程的案例研究,多层次实证比较验证了所提出模型的稳健性,突出了其在提供可靠决策和政策见解方面的实用性和效率。总体而言,本研究为决策者、从业者和工程师提供了一个全面的框架,用于处理现实世界的社会经济活动,特别是在不同国家背景下的运输安全工程中,具有很高的可靠性和适用性。
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引用次数: 0
A review of optimization strategies for hybrid renewable energy systems toward sustainable clean energy 面向可持续清洁能源的混合可再生能源系统优化策略综述
IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-12-01 DOI: 10.1016/j.rineng.2025.108363
Muhibbuddin , Erdiwansyah , A.Z. Syahir , Rizalman Mamat , Ratnaningsih Eko Sardjono
The global transition toward decarbonization has accelerated the development of HRES as resilient, cost-effective, and sustainable energy solutions. This review synthesises findings from >30 recent high-impact studies (2024–2025) on optimisation strategies integrating solar, wind, hydro, and storage technologies. Metaheuristic algorithms, including DE, PSO, and NSGA-II, have demonstrated significant effectiveness in minimising system costs and improving reliability. In off-grid rural electrification applications, DE achieved the lowest Levelized Cost of Energy (LCOE) of $0.062/kWh (USD2024) with an LPSP of 0.05, highlighting its superior cost-efficiency and stability. In grid-connected systems, NSGA-II enabled multi-objective optimisation, reducing total system costs by up to 56.7 % through coordinated use of hybrid battery and pumped-hydro storage. In Turkey, optimised PV–hydro–battery systems maintained a continuous power balance while reducing curtailed energy by 60 %, achieving an LCOE below $0.10/kWh. Moreover, incorporating frequency-constrained UC models with virtual inertia improved grid stability, though at the cost of approximately 12 % lower renewable penetration and 35 % higher operating costs. Emerging research trends emphasise AI-based forecasting, GIS-assisted spatial optimisation, blockchain-enabled peer-to-peer energy trading, and lifecycle sustainability assessments. Persistent challenges include high capital expenditure, technical complexity, and inadequate regulatory and sectoral integration. The review concludes with recommendations for AI-integrated real-time control, modular and scalable HRES design, policy-algorithm co-development, and circular economy frameworks to support the global deployment of intelligent, adaptive, and sustainable hybrid energy systems.
全球向脱碳的过渡加速了HRES作为具有弹性、成本效益和可持续的能源解决方案的发展。本综述综合了最近30项高影响研究(2024-2025)的研究结果,这些研究涉及太阳能、风能、水电和储能技术的优化策略。包括DE、PSO和NSGA-II在内的元启发式算法在最小化系统成本和提高可靠性方面已经证明了显著的有效性。在离网农村电气化应用中,DE实现了最低的平准化能源成本(LCOE) 0.062美元/千瓦时(2024美元),LPSP为0.05,突出了其优越的成本效益和稳定性。在并网系统中,NSGA-II实现了多目标优化,通过协调使用混合动力电池和抽水蓄能,将系统总成本降低了56.7%。在土耳其,优化后的光伏-水电池系统保持了持续的电力平衡,同时减少了60%的削减能源,实现了低于0.10美元/千瓦时的LCOE。此外,结合具有虚拟惯性的频率约束UC模型提高了电网的稳定性,但代价是可再生能源渗透率降低了约12%,运营成本提高了35%。新兴的研究趋势强调基于人工智能的预测、地理信息系统辅助的空间优化、区块链支持的点对点能源交易以及生命周期可持续性评估。持续存在的挑战包括高资本支出、技术复杂性以及监管和部门整合不足。报告最后提出了人工智能集成实时控制、模块化和可扩展HRES设计、政策-算法协同开发和循环经济框架的建议,以支持智能、自适应和可持续混合能源系统的全球部署。
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引用次数: 0
Fused deposition modeling of functional nanohybrids: a transformative approach to sustainable water purification 功能纳米杂交体的熔融沉积模型:可持续水净化的变革方法
IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-12-01 DOI: 10.1016/j.rineng.2025.108289
V.C. Deivayanai , S. Raja , Maher Ali Rusho , Tesfaye Barza Zema
Fused Deposition Modeling (FDM) has revolutionized the production of customized polymer-based components across industries. The integration of nanohybrid (NH) materials into polymer matrices has led to notable improvements in mechanical strength (up to 60 MPa), thermal stability (20–40 °C increase in degradation temperature), and adsorption efficiency (up to 210 mg/g for Pb²⁺ removal). This review analyzes the synergy between FDM and nanotechnology for creating multifunctional, sustainable polymers designed for wastewater treatment applications. NH-enhanced composites such as TiO₂–PLA and GO–PBS have demonstrated over 95% dye degradation and >99% antibacterial activity, offering potential for scalable 3D-printed filters, catalytic reactors, and membranes. Furthermore, Multi-Criteria Decision-Making (MCDM) frameworks, including Analytic Hierarchy Process (AHP) and TOPSIS, are discussed as tools to select optimal material combinations balancing performance, cost, and environmental safety. The review outlines a roadmap for translating laboratory-scale NH–FDM innovations into real-world environmental solutions, emphasizing sustainability, safety, and long-term functionality in advanced water treatment systems.
熔融沉积建模(FDM)已经彻底改变了各行业定制聚合物组件的生产。将纳米杂化(NH)材料集成到聚合物基体中,显著提高了机械强度(高达60 MPa)、热稳定性(降解温度提高20-40℃)和吸附效率(Pb 2 +去除效率高达210 mg/g)。这篇综述分析了FDM和纳米技术之间的协同作用,以创造用于废水处理应用的多功能、可持续的聚合物。nhh增强复合材料,如TiO₂-PLA和GO-PBS,已经证明了超过95%的染料降解和99%的抗菌活性,为可扩展的3d打印过滤器、催化反应器和膜提供了潜力。此外,多标准决策(MCDM)框架,包括层次分析法(AHP)和TOPSIS,作为选择最佳材料组合平衡性能,成本和环境安全的工具进行了讨论。该综述概述了将实验室规模的NH-FDM创新转化为现实环境解决方案的路线图,强调了先进水处理系统的可持续性、安全性和长期功能。
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引用次数: 0
Modeling and mitigation of lightning-induced overvoltages in wind turbine systems: A case study of Lamma WPP 风力涡轮机系统雷击过电压的建模与缓解:以南丫岛WPP为例
IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-12-01 DOI: 10.1016/j.rineng.2025.108539
Moustafa Mohsen , Hamdy Kanaan , Mohammed Mehanna , Hatem M. Seoudy
Lightning strikes pose a growing threat to wind turbines, particularly due to climate change and technological advancements. This study focuses on the 9 MW Lamma Wind Power Plant (WPP) in Hong Kong, analyzing the effects of standard and non-standard lightning waveforms on its components based on the strike's location. There are four suggested ways to lower the risk: choosing the right metal oxide surge arrester (MOSA), building a high voltage filter (HVF), using both at the same time, and using both an externally gapped line arrester (EGLA) and a non-gapped line arrester (NGLA). Modeling with MATLAB/SIMULINK revealed that a lightning strike near the inverter increased peak voltage by 12.3 %, with the tail time parameter rising from 50 to 300 microseconds, leading to a 36.6 % increase in peak voltage at the impact site. The concurrent use of MOSA and HVF significantly reduced lightning risk by 95 % compared to HVF alone and 96.3 % compared to MOSA alone. Additionally, four EGLA models were developed, with the composite air gap variant reducing overvoltage by approximately 57.2 % compared to NGLA alone. These mitigation strategies not only enhance the safety of wind power plants but also lower maintenance and replacement costs for expensive components.
雷击对风力涡轮机构成越来越大的威胁,特别是由于气候变化和技术进步。本研究以香港9 MW南丫岛风力发电厂(WPP)为研究对象,根据雷击位置分析标准和非标准雷击波形对其组件的影响。有四种方法可以降低风险:选择合适的金属氧化物避雷器(MOSA),构建高压滤波器(HVF),同时使用这两种避雷器,以及同时使用外部间隙线避雷器(EGLA)和非间隙线避雷器(NGLA)。利用MATLAB/SIMULINK建模表明,在逆变器附近的雷击使峰值电压增加12.3%,尾时间参数从50微秒增加到300微秒,导致冲击点峰值电压增加36.6%。同时使用MOSA和HVF与单独使用HVF相比可显著降低95%的雷电风险,与单独使用MOSA相比可降低96.3%的雷电风险。此外,开发了四种EGLA模型,与单独的NGLA相比,复合气隙变体可以降低约57.2%的过电压。这些缓解策略不仅提高了风力发电厂的安全性,而且降低了昂贵部件的维护和更换成本。
{"title":"Modeling and mitigation of lightning-induced overvoltages in wind turbine systems: A case study of Lamma WPP","authors":"Moustafa Mohsen ,&nbsp;Hamdy Kanaan ,&nbsp;Mohammed Mehanna ,&nbsp;Hatem M. Seoudy","doi":"10.1016/j.rineng.2025.108539","DOIUrl":"10.1016/j.rineng.2025.108539","url":null,"abstract":"<div><div>Lightning strikes pose a growing threat to wind turbines, particularly due to climate change and technological advancements. This study focuses on the 9 MW Lamma Wind Power Plant (WPP) in Hong Kong, analyzing the effects of standard and non-standard lightning waveforms on its components based on the strike's location. There are four suggested ways to lower the risk: choosing the right metal oxide surge arrester (MOSA), building a high voltage filter (HVF), using both at the same time, and using both an externally gapped line arrester (EGLA) and a non-gapped line arrester (NGLA). Modeling with MATLAB/SIMULINK revealed that a lightning strike near the inverter increased peak voltage by 12.3 %, with the tail time parameter rising from 50 to 300 microseconds, leading to a 36.6 % increase in peak voltage at the impact site. The concurrent use of MOSA and HVF significantly reduced lightning risk by 95 % compared to HVF alone and 96.3 % compared to MOSA alone. Additionally, four EGLA models were developed, with the composite air gap variant reducing overvoltage by approximately 57.2 % compared to NGLA alone. These mitigation strategies not only enhance the safety of wind power plants but also lower maintenance and replacement costs for expensive components.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 108539"},"PeriodicalIF":7.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Water-energy-hydrogen nexus: Addressing water scarcity in sustainable green hydrogen production 水-能源-氢关系:解决可持续绿色制氢中的水资源短缺问题
IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-12-01 DOI: 10.1016/j.rineng.2025.108256
Omaima Bourzgui , Mourad Nachtane , Khaoula Adeli , Abdessamad Faik , Abdelkader Boulazhar , Dennoun Saifaoui
The global transition toward a green economy has intensified the focus on sustainable pathways within the water-energy-hydrogen (WEH) nexus. Green hydrogen is widely recognized as a promising route to decarbonize the energy sector, yet its reliance on high-purity water for electrolysis presents major challenges, particularly in desert and sub-humid regions where water scarcity is already acute. This review critically examines the WEH nexus with emphasis on water supply through seawater and brackish water desalination technologies, including multi-stage flash (MSF), multi-effect distillation (MED), and reverse osmosis (RO). It further analyzes the economic and environmental trade-offs of these approaches, from carbon intensity, brine management, operational costs, and opportunities for renewable energy source (RES) integration. By assessing desalination’s potential to enable sustainable hydrogen production, this review highlights policy frameworks, technological innovations, and material advances required to reconcile water demand with energy transition goals, offering directions for research and future implementation strategies.
向绿色经济的全球转型加强了对水-能源-氢(WEH)关系中可持续途径的关注。绿色氢被广泛认为是能源部门脱碳的一种有前途的途径,但它对高纯度水的电解依赖带来了重大挑战,特别是在缺水已经严重的沙漠和半湿润地区。这篇综述严格审查了WEH的联系,重点是通过海水和微咸水淡化技术,包括多级闪蒸(MSF)、多效蒸馏(MED)和反渗透(RO)供水。它进一步分析了这些方法的经济和环境权衡,从碳强度、盐水管理、运营成本和可再生能源(RES)整合的机会。通过评估海水淡化实现可持续制氢的潜力,本综述强调了调和水需求与能源转型目标所需的政策框架、技术创新和材料进步,为研究和未来实施战略提供了方向。
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引用次数: 0
Lifecycle wear prediction of spur gears with time-dependent Archard model and surface topography evolution 基于时变Archard模型和表面形貌演化的正齿轮全生命周期磨损预测
IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-12-01 DOI: 10.1016/j.rineng.2025.108495
Jingqi Zhang , Jianxing Zhou , An Wu , Quanwei Cui , Ning Dong
Gear wear degrades transmission accuracy by altering tooth geometry, contact pressure, and dynamic response. Many prediction approaches under dry/solid-lubricated conditions still under-represent the tribo-dynamic coupling among a time-dependent wear coefficient (TDWC), evolving surface morphology, and contact kinematics. This study proposes a lifecycle wear-prediction scheme that integrates a profile-alignment/correction (error) model, a lumped-parameter dynamic model, and a wear module. The framework introduces a spatio-temporal TDWC model that maps wear-coefficient variation along the tooth profile and over time, while incorporating surface-morphology feedback into the dynamic analysis to achieve closed-loop wear evolution. Tooth morphology is measured by 3D profilometry and refined via mathematical processing, then fed to the dynamic model with time-varying meshing stiffness (TVMS) computed by the potential-energy method (PEM). Contact is evaluated with Hertzian theory, and wear depth is updated by the Archard law using friction and wear-coefficient parameters calibrated from equivalent wear tests (EWTs), iteratively refreshing tooth geometry. Simulations and experiments show strong agreement across tooth positions, with tooth-level wear-mass deviations < 1 mg, indicating high predictive accuracy at modest computational cost under dry friction.
齿轮磨损通过改变齿的几何形状、接触压力和动态响应来降低传动精度。干/固体润滑条件下的许多预测方法仍然不能充分反映随时间变化的磨损系数(TDWC)、不断变化的表面形态和接触运动学之间的摩擦动力学耦合。本研究提出了一种生命周期磨损预测方案,该方案集成了轮廓对准/校正(误差)模型、集总参数动态模型和磨损模块。该框架引入了一个时空TDWC模型,该模型可以绘制沿齿形和随时间的磨损系数变化,同时将表面形貌反馈纳入动态分析,以实现闭环磨损演变。采用三维轮廓测量法测量齿形,并进行数学处理,然后通过势能法(PEM)计算时变啮合刚度(TVMS)馈入动态模型。使用赫兹理论评估接触,使用等效磨损试验(ewt)校准的摩擦和磨损系数参数,通过Archard定律更新磨损深度,迭代刷新齿形。模拟和实验显示齿位之间的高度一致,齿级磨损质量偏差为1mg,表明在干摩擦条件下,以适度的计算成本具有较高的预测精度。
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引用次数: 0
Optimization of PCM-enhanced residential building envelopes in cold climates: Energy performance and cost-effectiveness analysis 寒冷气候下pcm增强住宅建筑围护结构的优化:能源性能和成本效益分析
IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-12-01 DOI: 10.1016/j.rineng.2025.108544
Jie Ren, Lexuan Zhong
This study presents a techno-economic optimization of phase change material (PCM)-enhanced residential building envelopes in Canadian cold climates, aiming to minimize both annual source energy use and life-cycle cost. A multi-objective optimization framework was developed by coupling EnergyPlus simulations with the non-dominated sorting genetic algorithm (NSGA-II) and a custom data-logging mechanism. Thirteen PCM-related design variables were considered across four envelope types and four representative cities. The analysis also evaluated the potential downsizing of heating and cooling system capacities in a reference multi-family prototype building. Two objectives, annual source energy intensity and total cost, were optimized to explore trade-offs between energy performance and total cost. Results revealed a clear Pareto front, demonstrating the inherent compromise between energy savings and cost. Optimal configurations favored interior PCM placement, midpoint melting temperatures of 21∼24 °C, and narrow melting ranges of 1∼3 °C. PCM integration reduced both heating and cooling energy use and modestly decreased HVAC capacity requirements by flattening the cooling load profile, while exhibiting only limited peak-time shifting effects. Economic analysis showed that most current PCM products remain cost-ineffective, with simple payback periods typically exceeding 150 years. The break-even price analyses identified target PCM costs of approximately 1.3, 1.0, 0.85, and 0.65 $/kg for Edmonton, Vancouver, Toronto, and Montreal, respectively, to achieve practical feasibility. The proposed framework provided a robust approach for evaluating PCM investment strategies and offered broader insights into optimizing thermal storage-based envelope designs for peak-load management and energy efficiency in cold-climate buildings.
本研究提出了在加拿大寒冷气候下,相变材料(PCM)增强住宅建筑围护结构的技术经济优化,旨在最大限度地减少年度能源消耗和生命周期成本。将EnergyPlus仿真与非主导排序遗传算法(NSGA-II)和自定义数据记录机制相结合,构建了多目标优化框架。在四个包络类型和四个代表性城市中考虑了13个与pcm相关的设计变量。分析还评估了在参考多户原型建筑中加热和冷却系统容量的潜在缩小。对年度能源强度和总成本这两个目标进行了优化,以探索能源性能和总成本之间的权衡。结果显示了一个清晰的帕累托前沿,展示了节能和成本之间的内在妥协。最佳配置有利于内部PCM放置,熔点温度为21 ~ 24°C,熔点范围为1 ~ 3°C。PCM集成减少了供暖和制冷能源的使用,并通过平坦的冷却负荷剖面适度降低了HVAC容量需求,同时仅表现出有限的峰值时间转移效应。经济分析表明,目前大多数PCM产品的成本效益仍然不高,简单的投资回收期通常超过150年。盈亏平衡价格分析确定了埃德蒙顿、温哥华、多伦多和蒙特利尔的目标PCM成本分别约为1.3、1.0、0.85和0.65美元/公斤,以实现实际可行性。提出的框架为评估PCM投资策略提供了一个强有力的方法,并为优化基于蓄热的围护结构设计提供了更广泛的见解,以实现寒冷气候建筑的峰值负荷管理和能源效率。
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引用次数: 0
Dynamic assessment of interlayer debonding in high-speed slab tracks using frequency-domain simulation 基于频域仿真的高速板坯轨道层间剥离动态评估
IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-12-01 DOI: 10.1016/j.rineng.2025.108515
Xiao-Zhou Liu , Liu-Yan Zhu , Zai-Wei Li
Interlayer debonding between the concrete slab and CA mortar layer is a critical defect affecting the safety and durability of high-speed railway slab tracks, yet its dynamic effects under realistic conditions remain insufficiently understood. This study presents an efficient frequency-domain vehicle–track–bridge coupling model that achieves a substantial reduction in computational cost, enabling comprehensive parametric analysis across 462 scenarios. Uniquely, the model incorporates measured track irregularities from in-service defected sections, ensuring that simulation inputs closely represent actual field conditions. Through systematic sensitivity analysis, the frequency-domain responses of key components are evaluated to identify diagnostic frequency bands and sensitive monitoring targets for debonding detection. Results reveal that reductions in mortar layer stiffness and increases in debonded length significantly amplify vibration responses, with the carbody, bogie frame, and rail showing the greatest sensitivity in the 40–110 Hz frequency band. Threshold effects are identified, with defects longer than 1.25–1.875 m reliably detected via RMS and correlation coefficients. These findings provide practical guidance for selecting optimal frequency-domain indicators for early debonding detection and condition monitoring in slab track systems, which supports predictive maintenance and enhanced operational safety.
混凝土板与CA砂浆层之间的层间脱粘是影响高速铁路板式轨道安全性和耐久性的关键缺陷,但其在现实条件下的动力效应尚不清楚。本研究提出了一种有效的频域车辆-轨道-桥梁耦合模型,该模型大大降低了计算成本,能够在462种情况下进行全面的参数分析。独特的是,该模型结合了在役缺陷路段的测量轨道不规则性,确保模拟输入密切代表实际现场情况。通过系统的灵敏度分析,评估关键部件的频域响应,确定诊断频带和敏感监测目标进行脱粘检测。结果表明,砂浆层刚度的减小和脱粘长度的增加显著放大了振动响应,其中车体、转向架框架和钢轨在40-110 Hz频段内表现出最大的敏感性。识别了阈值效应,通过RMS和相关系数可靠地检测出长度大于1.25-1.875 m的缺陷。这些发现为板式轨道系统早期脱粘检测和状态监测选择最佳频域指标提供了实用指导,从而支持预测性维护和提高运营安全性。
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引用次数: 0
Efficient extraction and recovery techniques of valuable metals and alumina with high added value from red mud: A comprehensive review 赤泥中有价金属和高附加值氧化铝的高效提取与回收技术综述
IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2025-12-01 DOI: 10.1016/j.rineng.2025.108428
Zhichen Han , Yingyi Zhang , Xin Shen , Hao Sun , Chunyin Zhang , Laihao Yu
Red mud (RM) is a byproduct of alumina refining and has a high content of alumina and valuable metals. However, the accumulation and idling of red mud resources have caused serious waste of resources, environmental pollution and public safety hazards. Therefore, there is an urgent need to develop green comprehensive utilization technologies for red mud resources in order to achieve harmless and high-value treatment. In this work, the extraction and separation process of valuable metals in red mud is systematically introduced and summarized, and the recovery mechanism and development status of valuable metals Fe, Ti and high value-added Al2O3 are emphasized. In addition, based on the recovery capacity, energy consumption and environmental pollution of valuable metal and alumina recycling processes, the advantages, disadvantages and environmental implication of various recycling processes are also summarized and compared in detail, aiming to provide theoretical guidance for the harmless and high-value utilization of red mud.
赤泥是氧化铝精炼的副产物,含有较高的氧化铝和贵重金属。然而,赤泥资源的积累和闲置造成了严重的资源浪费、环境污染和公共安全隐患。因此,迫切需要开发赤泥资源的绿色综合利用技术,实现无害化、高价值处理。本文系统介绍和总结了赤泥中有价金属的提取分离工艺,重点介绍了有价金属Fe、Ti和高附加值Al2O3的回收机理和发展现状。此外,基于有价金属和氧化铝回收工艺的回收能力、能耗和环境污染,对各种回收工艺的优缺点和环境影响进行了详细的总结和比较,旨在为赤泥的无害化、高值化利用提供理论指导。
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Results in Engineering
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