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Intelligent computational modeling of Maxwell–Smoluchowski thermal slip effects under non-uniform heat sources using radial basis networks 基于径向基网络的非均匀热源下Maxwell-Smoluchowski热滑移效应的智能计算建模
IF 5.4 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2026-02-01 Epub Date: 2026-01-05 DOI: 10.1016/j.tsep.2026.104486
Sana Ullah Saqib , Abhishikta Das , Muhammad Wajahat Anjum , Yin-Tzer Shih , Ali Akgül , Fahad Sameer Alshammari
The current article investigates the application of Artificial Intelligence (AI) to evaluate the Buongiorno thermal enhancement model with a Darcy–Forchheimer formulation (BTEM-IDFE). AI-driven radial basis function neural networks (RBFNNs) are employed to accurately forecast magnetohydrodynamic (MHD) nanofluid flow over a stretching boundary, accounting for entropy production and fluctuating fluid properties. RBFNNs are used to simulate and predict complex heat-transfer dynamics in such environments, yielding more accurate and efficient analyses than conventional numerical methods. We investigate the effects of the Maxwell slip velocity, the Smoluchowski slip temperature, and the Arrhenius activation energy. A synthetic dataset was generated via the Lobatto III-A computational integration approach. The proposed RBFNN algorithm is then applied to the obtained datasets, yielding outputs with negligible error that closely align with the numerical experiments across all model variants. A comprehensive graphical examination of liquid motion, entropy generation, concentration, and temperature distribution is conducted. Our findings indicate that applying the RBFNN to the proposed framework effectively captures the interactions and interdependencies among key parameters, including radiation parameters, temperature-dependent conductivity, porosity, velocity slip parameters, and thermophoresis effects, in relation to temperature and entropy rates. The efficacy of RBFNN is demonstrated through comprehensive experiments, including iterative convergence curves for mean squared error, optimization control measures, error distributions via histograms, and robust regression analysis.
本文研究了人工智能(AI)在利用Darcy-Forchheimer公式(BTEM-IDFE)评估Buongiorno热增强模型中的应用。利用人工智能驱动的径向基函数神经网络(RBFNNs)来准确预测磁流体动力学(MHD)纳米流体在拉伸边界上的流动,考虑了熵产和流体性质的波动。RBFNNs用于模拟和预测这种环境下复杂的传热动力学,产生比传统数值方法更准确和有效的分析。研究了麦克斯韦滑移速度、斯摩鲁霍夫斯基滑移温度和阿伦尼乌斯活化能的影响。通过Lobatto III-A计算集成方法生成合成数据集。然后将所提出的RBFNN算法应用于所获得的数据集,产生的输出误差可忽略不计,与所有模型变量的数值实验密切相关。一个全面的图形检查液体运动,熵的产生,浓度和温度分布进行。我们的研究结果表明,将RBFNN应用于所提出的框架可以有效地捕获关键参数之间的相互作用和相互依赖关系,包括辐射参数、温度相关的电导率、孔隙度、速度滑移参数以及与温度和熵率相关的热电泳效应。通过均方误差的迭代收敛曲线、优化控制措施、直方图误差分布和鲁棒回归分析等综合实验证明了RBFNN的有效性。
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引用次数: 0
Innovative energy-efficient desiccant-based atmospheric-water-harvesting system for sustainable freshwater production: Numerical investigation and experimental validation 创新节能干燥剂为基础的大气水收集系统可持续淡水生产:数值调查和实验验证
IF 5.4 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2026-02-01 Epub Date: 2025-12-27 DOI: 10.1016/j.tsep.2025.104465
M.A.M. Ahmed , Muhammad H. Elbassoussi , Syed M. Zubair
Atmospheric water harvesting is a promising decentralized source of freshwater. Yet, its adoption is limited by the high energy demand of desiccant regeneration and the substantial thermodynamic irreversibility in current systems, resulting in elevated entropy generation and poor specific energy consumption. To address this challenge, this study proposes a heat-pump-assisted, zero-liquid-discharge atmospheric water-harvesting system that integrates liquid desiccant absorption with a closed-loop regeneration cycle and a heat-and-mass-recovery exchanger. A key novelty of the configuration is the introduction of a single-point air extraction and injection strategy, which achieves thermodynamic balancing by aligning temperature gradients and reducing local enthalpy pinch, yielding significant energy savings. A comprehensive mathematical model is developed incorporating temperature–enthalpy balancing for both zero- and single-extraction configurations. The model is validated against experimental data, showing strong agreement. Results demonstrate that single air extraction substantially enhances system performance by lowering thermodynamic irreversibility. At a zero enthalpy pinch, the specific energy consumption decreases from approximately 280 kJ kg−1 of freshwater in the zero-extraction configuration to about 114 kJ kg−1 in the single-extraction configuration, an improvement of 59 %. Even at moderate pinch values, the single-extraction configuration consistently outperforms the baseline case, with benefits diminishing only beyond a critical pinch of around 46 kJ kg−1.
大气水收集是一种很有前途的分散淡水来源。然而,它的采用受到干燥剂再生的高能量需求和当前系统中实质性的热力学不可逆性的限制,导致熵产增加和比能量消耗差。为了应对这一挑战,本研究提出了一种热泵辅助、零液体排放的大气集水系统,该系统将液体干燥剂吸收与闭环再生循环和热质量回收换热器相结合。该配置的一个关键新颖之处在于引入了单点空气抽取和喷射策略,通过调整温度梯度和减少局部焓缩来实现热力学平衡,从而显著节省能源。建立了一个综合的数学模型,包括零萃取和单萃取的温度-焓平衡。模型与实验数据进行了对比验证,结果吻合较好。结果表明,单次抽气降低了热力学不可逆性,大大提高了系统性能。在零焓缩点下,比能量消耗从零萃取配置中的约280 kJ kg - 1淡水减少到单萃取配置中的约114 kJ kg - 1,提高了59%。即使在中等夹紧值下,单次提取配置的性能也始终优于基线情况,只有在临界夹紧值约为46 kJ kg−1时,优势才会减小。
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引用次数: 0
Thermally and electrically-driven standalone trigeneration solar system coupled with energy storage for green hydrogen, freshwater, and cooling production 热能和电力驱动的独立三联产太阳能系统,加上绿色氢、淡水和冷却生产的能量储存
IF 5.4 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2026-02-01 Epub Date: 2026-01-06 DOI: 10.1016/j.tsep.2026.104493
Mohamed G. Basiony , Muhammad Aziz , Sameh Nada , Hamdy Hassan
This study presents a techno-economic comparison of two solar-driven multigeneration systems, one thermally driven and the other electrically driven, for the co-production of hydrogen, potable water, and cooling under identical climatic conditions and equal annual production targets. An hourly dynamic mathematical model is constructed and solved in MATLAB/Simulink for the entire year, incorporating thermal storage for the thermally driven system and battery storage for the electrically driven system. The results indicate a trade-off between maximum outputs and overall utilization. The thermally driven system attains higher peak hourly outputs, whereas the electrically driven system operates for longer hours with superior energy and exergy efficiencies of 17.08 % and 11.65 %, respectively. From an economic perspective, the electrically driven system demonstrates lower levelized costs for both hydrogen production and cooling, as well as a shorter payback period of 3.43 years compared to 7.89 years for the thermally driven system. Both systems achieve annual CO2 savings of 49.76 tons. Moreover, the sensitivity analysis indicates that the electrically driven system’s levelized output costs are more influenced by reductions in the investment costs of energy harvesting and storage than the thermally driven system.
本研究提出了两种太阳能驱动的多发电系统的技术经济比较,一种是热驱动的,另一种是电驱动的,在相同的气候条件和相同的年产量目标下,共同生产氢气、饮用水和冷却。在MATLAB/Simulink中构建并求解了全年的逐时动态数学模型,其中热驱动系统采用蓄热法,电驱动系统采用蓄电池蓄热法。结果表明了最大产出和总体利用率之间的权衡。热驱动系统获得更高的峰值小时输出,而电驱动系统运行时间更长,能量和火用效率分别为17.08 %和11.65 %。从经济角度来看,电力驱动系统的制氢和冷却成本都较低,投资回收期为3.43 年,而热驱动系统的投资回收期为7.89 年。这两个系统每年可节省49.76 吨二氧化碳。此外,灵敏度分析表明,电驱动系统的平准化输出成本比热驱动系统更受能量收集和储存投资成本降低的影响。
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引用次数: 0
How well did the evaporative passive cooling blanket preserve fresh produce in Kenya, Uganda and Nigeria? 在肯尼亚、乌干达和尼日利亚,蒸发式被动冷却毯保存新鲜农产品的效果如何?
IF 5.4 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2026-02-01 Epub Date: 2026-01-19 DOI: 10.1016/j.tsep.2026.104522
Daniel Onwude , Sofia Felicioni , Theresa Wittkamp , Michael Omodara , Opeyemi Akomolafe , Thijs Defraeye
This study evaluates the effectiveness of evaporative passive cooling blankets (PCBs) in reducing postharvest losses and extending the shelf life of fruits and vegetables in Kenya, Uganda, and Nigeria. Using locally available natural materials such as sawdust and charcoal, PCBs were deployed under diverse climatic conditions to assess their capacity for temperature reduction and humidity control. In Kenya, PCBs achieved temperature reductions of up to 10 °C and maintained relative humidity near 95 %, reducing postharvest losses of vegetables by up to 45 % and extending shelf life by 3–4 days. In Uganda, PCB application along the local tomato supply chain lowered average air temperatures by up to 2 °C, with peak reductions of up to 20 °C. This intervention extended tomato shelf life by 2 days and improved market outcomes, although performance was moderated by rainy-season conditions. In Nigeria, PCBs reduced average air temperature by 5 °C, increased relative humidity by 25 %, and decreased tomato weight loss and rot by 32 % and 20 %, respectively. Overall, the use of PCBs reduced postharvest losses by approximately 30 % across the three countries. These findings demonstrate a scalable, low-cost, electricity-free cooling solution suitable for smallholder farmers in Sub-Saharan Africa. By validating PCB performance under real field conditions, this study highlights the potential of passive evaporative cooling technologies to enhance food preservation, reduce waste, and improve food security in resource-limited settings.
本研究在肯尼亚、乌干达和尼日利亚评估了蒸发被动冷却毯(PCBs)在减少采后损失和延长水果和蔬菜保质期方面的有效性。多氯联苯使用当地可获得的天然材料,如锯末和木炭,在不同的气候条件下部署,以评估其降温和控制湿度的能力。在肯尼亚,多氯联苯使温度降低了10°C,并保持了接近95%的相对湿度,使蔬菜的采后损失减少了45%,并将保质期延长了3-4天。在乌干达,PCB在当地番茄供应链上的应用使平均气温降低了2°C,最高可降低20°C。这种干预延长了番茄的保质期2天,并改善了市场结果,尽管表现受到雨季条件的影响。在尼日利亚,多氯联苯使平均气温降低了5°C,使相对湿度增加了25%,使番茄失重和腐烂率分别降低了32%和20%。总体而言,多氯联苯的使用使这三个国家的采后损失减少了约30%。这些发现证明了一种适用于撒哈拉以南非洲小农的可扩展、低成本、无电的冷却解决方案。通过验证PCB在实际现场条件下的性能,本研究强调了被动蒸发冷却技术在资源有限环境下增强食品保存、减少浪费和改善食品安全方面的潜力。
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引用次数: 0
Pyrolysis of industrial black liquor-derived lignin: iso-conversional based kinetic triplet evaluation, thermodynamic assessment, and predictive modeling using artificial neural network (ANN) 工业黑液衍生木质素的热解:基于等转换的动力学三重态评价、热力学评价和人工神经网络预测建模
IF 5.4 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2026-02-01 Epub Date: 2026-01-17 DOI: 10.1016/j.tsep.2026.104511
Nitin Meena , Dipankar Saha , Patit Paban Kundu
This study investigates the pyrolytic behaviour of lignin using an integrated kinetic and thermodynamic framework based on thermogravimetric data. Four iso-conversional models-Friedman, Ozawa-Flynn-Wall (OFW), Kissinger-Akahira-Sunose (KAS), and Starink-were applied to monitor how the activation energy (Eaα) evolves throughout the conversion (α = 0.1–0.9) range. The non-uniform activation energy (Ea) pattern confirmed that lignin does not decompose through a single mechanism but undergoes a multi-stage transformation. Among the evaluated methods, KAS and Starink generated the most consistent Ea profiles. The associated pre-exponential factor (A) and thermodynamic parameters- enthalpy (ΔH), Gibbs free energy (ΔG), and entropy (ΔS) further indicated that pyrolysis of lignin requires substantial energy input and proceeds in a non-spontaneous manner. A generalized masterplot interpretation revealed a clear shift in the dominant reaction mechanisms with conversion, transitioning sequentially through diffusion-controlled (D1), first-order (F1), and phase-boundary-controlled (R2) regimes, highlighting the coexistence of multiple kinetic pathways and the progressively evolving nature of lignin degradation. To complement the kinetic evaluation, an artificial neural network (ANN) was developed using temperature and heating rate as inputs and conversion as output to predict conversion behaviour. The ANN closely replicated the experimental conversion curves, demonstrating strong capability in capturing the nonlinear decomposition pattern with high predictive accuracy (R2 = 0.9998, mean square error = 2.2364 × 10−6) and reducing reliance on extensive experimental iterations. By coupling iso-conversional kinetic modelling with ANN-based prediction, this work delivers the first hybrid modelling framework specifically tailored to lignin derived from mixed-source industrial black liquor.
本研究利用基于热重数据的综合动力学和热力学框架研究了木质素的热解行为。采用friedman、Ozawa-Flynn-Wall (OFW)、Kissinger-Akahira-Sunose (KAS)和starink四个等转换模型来监测整个转换(α = 0.1-0.9)范围内活化能(Eaα)的演变。非均匀活化能(Ea)模式证实木质素不是通过单一机制分解,而是经过多阶段转化。在评价的方法中,KAS和Starink生成的Ea曲线最为一致。相关的指前因子(A)和热力学参数-焓(ΔH)、吉布斯自由能(ΔG)和熵(ΔS)进一步表明木质素的热解需要大量的能量输入,并以非自发的方式进行。一个广义的主图解释揭示了主导反应机制的明显转变,即转化,依次通过扩散控制(D1)、一阶(F1)和相边界控制(R2)机制过渡,突出了多种动力学途径的共存和木质素降解的逐步进化性质。为了补充动力学评估,开发了一个人工神经网络(ANN),以温度和加热速率为输入,以转换为输出来预测转换行为。该人工神经网络能够很好地复制实验转换曲线,具有较强的捕获非线性分解模式的能力,预测精度高(R2 = 0.9998,均方误差= 2.2364 × 10−6),减少了对大量实验迭代的依赖。通过将等转换动力学建模与基于人工神经网络的预测相结合,这项工作提供了第一个专门为来自混合源工业黑液的木质素量身定制的混合建模框架。
{"title":"Pyrolysis of industrial black liquor-derived lignin: iso-conversional based kinetic triplet evaluation, thermodynamic assessment, and predictive modeling using artificial neural network (ANN)","authors":"Nitin Meena ,&nbsp;Dipankar Saha ,&nbsp;Patit Paban Kundu","doi":"10.1016/j.tsep.2026.104511","DOIUrl":"10.1016/j.tsep.2026.104511","url":null,"abstract":"<div><div>This study investigates the pyrolytic behaviour of lignin using an integrated kinetic and thermodynamic framework based on thermogravimetric data. Four <em>iso</em>-conversional models-Friedman, Ozawa-Flynn-Wall (OFW), Kissinger-Akahira-Sunose (KAS), and Starink-were applied to monitor how the activation energy (<span><math><msub><mrow><mi>Ea</mi></mrow><mi>α</mi></msub></math></span>) evolves throughout the conversion (<span><math><mi>α</mi></math></span> = 0.1–0.9) range. The non-uniform activation energy (<span><math><mrow><mi>Ea</mi></mrow></math></span>) pattern confirmed that lignin does not decompose through a single mechanism but undergoes a multi-stage transformation. Among the evaluated methods, KAS and Starink generated the most consistent <span><math><mrow><mi>Ea</mi></mrow></math></span> profiles. The associated pre-exponential factor (<span><math><mi>A</mi></math></span>) and thermodynamic parameters- enthalpy (<span><math><mrow><mi>Δ</mi><mi>H</mi></mrow></math></span>), Gibbs free energy (<span><math><mrow><mi>Δ</mi><mi>G</mi></mrow></math></span>), and entropy (<span><math><mrow><mi>Δ</mi><mi>S</mi></mrow></math></span>) further indicated that pyrolysis of lignin requires substantial energy input and proceeds in a non-spontaneous manner. A generalized masterplot interpretation revealed a clear shift in the dominant reaction mechanisms with conversion, transitioning sequentially through diffusion-controlled (D1), first-order (F1), and phase-boundary-controlled (R2) regimes, highlighting the coexistence of multiple kinetic pathways and the progressively evolving nature of lignin degradation. To complement the kinetic evaluation, an artificial neural network (ANN) was developed using temperature and heating rate as inputs and conversion as output to predict conversion behaviour. The ANN closely replicated the experimental conversion curves, demonstrating strong capability in capturing the nonlinear decomposition pattern with high predictive accuracy (<span><math><msup><mrow><mi>R</mi></mrow><mn>2</mn></msup></math></span> = 0.9998, mean square error = 2.2364 × 10<sup>−6</sup>) and reducing reliance on extensive experimental iterations. By coupling <em>iso</em>-conversional kinetic modelling with ANN-based prediction, this work delivers the first hybrid modelling framework specifically tailored to lignin derived from mixed-source industrial black liquor.</div></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":"70 ","pages":"Article 104511"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Experimental study and validation of heat transfer correlations for plate-fin heat exchangers using cyclopentane as working fluid 以环戊烷为工质的板翅式换热器传热相关性的实验研究与验证
IF 5.4 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2026-02-01 Epub Date: 2026-01-05 DOI: 10.1016/j.tsep.2026.104489
Pengcheng Liu , Qiyao Zuo , Weijia Meng , Gequn Shu , Hua Tian , Ligeng Li , Yu Chen , Xuan Wang
As a key component of the Organic Rankine Cycle (ORC) system, the heat exchanger is responsible for the conversion of thermal energy and directly affects the dynamic behavior of the system. Appropriate heat transfer correlations are essential for both heat exchanger design and dynamic behavior analysis. Owing to its high vapor pressure and temperature, cyclopentane is a promising working fluid for ORC systems. However, studies on heat transfer correlations for cyclopentane-based heat exchangers remain limited. This study conducted experiments on an ORC system. Based on steady-state experimental data, a particle swarm optimization (PSO) algorithm was applied to calibrate and validate heat transfer correlations for cyclopentane plate-fin heat exchangers, and applicable correlations was proposed. Further validation was performed using dynamic modeling combined with dynamic experimental data. The results indicate that the proposed correlations achieve high prediction accuracy, with mean relative deviations of cyclopentane outlet temperature below 7% and pressure deviations below 1.5% for both the plate-fin evaporator and recuperator. This work provides valuable guidance for the design and dynamic analysis of cyclopentane-based plate-fin heat exchangers.
换热器作为有机朗肯循环(ORC)系统的关键部件,负责热能的转换,直接影响系统的动态行为。适当的传热相关性对于换热器设计和动态性能分析都是至关重要的。由于其蒸气压和温度高,环戊烷是一种很有前途的ORC系统工作流体。然而,关于环戊烷基换热器传热相关性的研究仍然有限。本研究在ORC系统上进行了实验。基于稳态实验数据,采用粒子群优化(PSO)算法对环戊烷板翅式换热器的传热关系式进行了标定和验证,并提出了适用的关系式。采用动态建模结合动态实验数据进一步验证。结果表明,所建立的关联预测精度较高,板式翅片蒸发器和回热器环戊烷出口温度的平均相对偏差均在7%以下,压力偏差均在1.5%以下。该工作对环戊烷基板翅式换热器的设计和动力学分析具有重要的指导意义。
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引用次数: 0
Fracture evolution of granite under cyclic thermal shocks: effects of liquid nitrogen cooling on strength, toughness, and acoustic emission characteristics 循环热冲击下花岗岩的断裂演化:液氮冷却对强度、韧性和声发射特性的影响
IF 5.4 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2026-02-01 Epub Date: 2026-01-12 DOI: 10.1016/j.tsep.2026.104507
Linchao Wang , Yi Xue , Lin Zhu , Xiaoshan Cao , Xue Li , P.G. Ranjith
Liquid nitrogen (LN2)–assisted fracturing has emerged as a promising technique to enhance reservoir permeability and stimulate geothermal energy extraction. This study investigates the progressive degradation of granite under repeated thermal shocks, simulating geothermal conditions by subjecting samples to high-temperature heating followed by rapid LN2 cooling, with cycles ranging from 0 to 20. Mechanical behavior was assessed by uniaxial compression (UCT), Brazilian splitting (BST), and three-point bending (TPBT) tests, with real-time acoustic emission (AE) monitoring employed to track fracture evolution. Results reveal substantial degradation in mechanical properties, with tensile strength and fracture toughness decreasing by up to 67.48 % and 65.51 %, respectively, after 20 thermal cycles. The extent of microstructural damage increases rapidly in the initial cycles, then plateaus after approximately 7–9 cycles, indicating a saturation point in damage development. AE analysis indicates a transition from brittle to more ductile behavior, manifested by increased AE activity, a rise in high-frequency components (>700 kHz), and the development of complex fracture networks. The average frequency (AF)–rise time/amplitude (RA) distribution indicates a growing prevalence of shear-dominated microcracking as cycling progresses. These findings offer new insights into the micro-mechanical mechanisms activated by LN2 cycling and highlight its effectiveness as a thermal stimulation strategy for enhancing the permeability of low-porosity crystalline rocks in geothermal applications.
液氮(LN2)辅助压裂已成为提高储层渗透率和促进地热能开采的一项有前景的技术。本研究研究了花岗岩在反复热冲击下的逐步退化,通过对样品进行高温加热,然后进行快速LN2冷却,模拟地热条件,循环范围从0到20。力学行为通过单轴压缩(UCT)、巴西劈裂(BST)和三点弯曲(TPBT)测试进行评估,并采用实时声发射(AE)监测来跟踪裂缝演变。结果表明,经过20次热循环后,材料的力学性能显著下降,抗拉强度和断裂韧性分别下降67.48%和65.51%。显微组织损伤程度在初始循环中迅速增加,在大约7-9次循环后趋于平稳,表明损伤发展达到饱和点。声发射分析表明,岩石从脆性行为向延性行为转变,表现为声发射活动增加,高频分量(>700 kHz)增加,以及复杂断裂网络的发展。平均频率(AF) -上升时间/振幅(RA)分布表明,随着循环的进行,剪切主导的微裂纹越来越普遍。这些发现为LN2循环激活的微观力学机制提供了新的见解,并突出了其作为地热应用中提高低孔隙度结晶岩渗透率的热刺激策略的有效性。
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引用次数: 0
Systematic generation of flexible heat exchanger networks with minimum utility consumption 柔性热交换器网络的系统发电与最小的效用消耗
IF 5.4 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2026-02-01 Epub Date: 2026-01-05 DOI: 10.1016/j.tsep.2026.104490
Ákos Orosz , Jean Pimentel , Bing Shen How , Petar Sabev Varbanov , Ferenc Friedler
Heat exchanger network (HEN) synthesis is a topic of high importance, encompassing several solution approaches and problem aspects. One such aspect crucial to industrial applications is flexibility, since real systems often experience variations of certain parameters, e.g., inlet temperatures or flowrates. Decades of research have revealed numerous methods for analyzing the flexibility of a given heat exchanger network. Meanwhile, the synthesis of flexible HENs continued to prove to be a severely difficult task, especially since handling the parameter deviations should not compromise the high level of heat integration. This work introduces a novel direction for synthesizing flexible HENs by combining flexibility analysis methods with P-graph-based, exhaustive, combinatorial network generation. The method generates all feasible networks that satisfy both the structural criteria and the maximum energy recovery over the entire variation region, and presents them ordered by capital cost. This first iteration of the work focuses on variations in inlet stream temperatures. This allows proving the validity of the underlying concepts by generating HENs that achieve minimum utility consumption for the entire range of temperature variations. The capability to generate multiple suitable networks is demonstrated through a case study, where 429 feasible networks were generated, which are all capable of achieving maximum heat integration within the parameter variation region. For the best generated design options, a 4–6% increase in capital cost compared to the base case is sufficient to satisfy the flexibility requirements.
换热器网络综合是一个非常重要的课题,涉及多个解决方法和问题方面。其中一个对工业应用至关重要的方面是灵活性,因为实际系统经常经历某些参数的变化,例如进口温度或流量。几十年的研究已经揭示了许多方法来分析给定的热交换器网络的灵活性。同时,柔性hen的合成仍然被证明是一项非常困难的任务,特别是因为处理参数偏差不应损害高水平的热集成。本文将柔性分析方法与基于p图的穷举组合网络生成相结合,为柔性hen的合成提供了新的方向。该方法生成了在整个变化区域内满足结构准则和最大能量回收的所有可行网络,并按资本成本排序。这项工作的第一次迭代侧重于入口流温度的变化。这可以通过生成在整个温度变化范围内实现最小效用消耗的hen来证明基本概念的有效性。通过一个案例研究证明了生成多个合适网络的能力,其中生成了429个可行网络,这些网络都能够在参数变化区域内实现最大的热集成。对于生成的最佳设计选项,与基本情况相比,资本成本增加4-6%就足以满足灵活性要求。
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引用次数: 0
Numerical investigation of heat transfer and flow characteristics in eccentrically twisted oval tubes 偏心扭转椭圆管内传热与流动特性的数值研究
IF 5.4 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2026-02-01 Epub Date: 2026-01-10 DOI: 10.1016/j.tsep.2026.104505
Jie Ma , Chuanxiang Gong , Shuai Wang , Haidong Xu , Shuai Yin , Hao Peng
To overcome the performance limitations of traditional twisted oval tubes, the innovative design of eccentrically twisted oval tubes is proposed by introducing the asymmetric geometric disturbances through offsetting the twisted axis. This asymmetric structure can enhance the intensity of the secondary flow and expand the influence area of the secondary flow, thus effectively enhancing heat transfer in the eccentrically twisted oval tube. Based on the k-ω turbulence model, the influences of eccentric parameters on the thermal–hydraulic performance are numerically investigated through the analysis of temperature, pressure, and velocity fields as well as their synergistic interactions. In addition, correlations for the Nusselt number and friction factor are established. The results indicate that the performance evaluation criteria increase with both the eccentric angle and eccentric distance, reaching their maximum values in the direction of the minor axis. Specifically, when the eccentric distance is 7 mm, the Nusselt number increases by 38.12 %, and the performance evaluation criteria value reaches 1.21. This improvement can be attributed to the wall-attached vortex structures induced by the eccentricity of the twisted axis. Simultaneously, strong lateral secondary flows are generated in the eccentric direction, resulting in a 50 % increase in flow intensity compared to that in standard twisted oval tubes. These secondary flows decrease the synergy angle of velocity field and temperature gradient, thereby further contributing to the heat transfer enhancement of the eccentrically twisted oval tubes.
为克服传统扭扭椭圆管的性能局限性,提出了通过扭轴偏移引入非对称几何扰动的偏心扭扭椭圆管创新设计方案。这种非对称结构可以增强二次流的强度,扩大二次流的影响范围,从而有效地增强偏心扭转椭圆管内的换热。基于k-ω湍流模型,通过分析温度场、压力场和速度场及其协同作用,数值研究了偏心参数对热工性能的影响。此外,建立了努塞尔数与摩擦因数的相关关系。结果表明,随着偏心角和偏心距离的增大,性能评价指标均增大,在小轴方向达到最大值;其中,偏心距为7 mm时,努塞尔数增加38.12%,性能评价标准值达到1.21。这种改善可归因于由扭轴偏心引起的附壁涡结构。同时,在偏心方向上产生了强烈的横向二次流,使流动强度比标准扭转椭圆管提高了50%。这些二次流降低了速度场和温度梯度的协同角,从而进一步增强了偏心扭转椭圆管的换热。
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引用次数: 0
Thermo-mechanical life assessment of solar central receivers: Comparison of coarse and fine grid discretisations 太阳能中央接收器的热机械寿命评估:粗网格和细网格离散的比较
IF 5.4 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2026-02-01 Epub Date: 2026-01-10 DOI: 10.1016/j.tsep.2026.104491
M. Laporte-Azcué, D. Pardillos-Pobo, M.R. Rodríguez-Sánchez, D. Santana
This paper deals with the thermomechanical analysis of a molten-salt tubular central receiver in a solar power tower plant using three discretization levels. A coarse-grid model (CGM) considers one representative tube per panel; a fine-grid model (FGM) is run first with the CGM mass-flow setpoint and then with adjusted mass flow to achieve a 565°C outlet. We compare mass flows, temperatures and elastic stresses on the spring equinox, summer solstice, and winter solstice. They serve to assess the receiver durability as equivalent operating days (EODs) resulting from creep-fatigue damage.
The CGM systematically overpredicts the heat transfer fluid flow that the receiver can heat up to 565°C compared to the FGM. Moreover, while panel-average temperatures are captured reasonably, the CGM misses tube-to-tube gradients, and yields higher tube temperatures overall, which amplifies elastic stress error from around + 30% to −15%. The largest error occurs at mid-panel height, which is typically the critical spot durability-wise. For large storage sizes (∼30000 tn), the CGM underestimates panel 1 life in 7.27 years versus the FGM with adjusted flow rate, suggesting unnecessary repairs. In the remaining panels the CGM overpredicts durability, risking earlier-than-predicted failures. In the most concerning panels (2–4) it is up to 2 years. These discrepancies arise from the interplay among temperature, elastic–plastic stress, and stress relaxation. Overall, tube- and panel-level variability undermines generalization from a single representative tube. If a CGM must be used, panel-specific safeguards are recommended; otherwise, the FGM with adjusted flow provides more credible life and cost forecasts.
本文采用三个离散化水平对太阳能塔式电站熔盐管式中央接收机进行了热力学分析。粗网格模型(CGM)考虑每个面板一个代表性管;首先采用细网格模型(FGM)的质量流量设定值,然后调整质量流量,以达到565°C的出口。我们比较了春分、夏至和冬至的质量流、温度和弹性应力。它们用于评估接收器的耐久性,以等效工作天数(eod)计算,这是由于蠕变疲劳损坏造成的。与FGM相比,CGM系统地高估了接收器可以加热到565°C的传热流体流量。此外,虽然面板平均温度被合理地捕获,但CGM忽略了管与管之间的梯度,从而产生了更高的管温度,从而将弹性应力误差从+ 30%左右放大到- 15%。最大的误差发生在面板中部高度,这通常是关键的耐久点。对于大容量存储(~ 30000 tn),与调节流量的FGM相比,CGM低估了面板1的7.27年寿命,这意味着不必要的维修。在剩下的面板中,CGM过度预测了耐久性,有可能比预期更早出现故障。在最受关注的小组(2 - 4)中,最长可达2年。这些差异是由温度、弹塑性应力和应力松弛之间的相互作用引起的。总的来说,管级和面板级的可变性破坏了单一代表性管的通用性。如果必须使用CGM,建议采用针对特定面板的保障措施;另外,调整流量的FGM提供了更可靠的寿命和成本预测。
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Thermal Science and Engineering Progress
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