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Experimental and numerical analysis of water condensation in a condensing economiser for heat recovery 热回收冷凝省煤器冷凝水的实验与数值分析
IF 5.4 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2026-02-01 DOI: 10.1016/j.tsep.2026.104535
F. Orlandi , K. Račkaitis , L. Montorsi , R. Poškas , H. Jouhara
Condensing heat exchangers play a key role in industrial processes to enable high efficiency waste heat recovery. Various designs exist and they depend on the primary heat source, pollution level, installation location, etc. The physics involved in these components is very complex and usually difficult to investigate experimentally. Therefore, numerical methods, such as CFD (Computational Fluid Dynamics), prove to be a useful tool for investigating specific phenomena. In particular, the condensation phenomenon is probably the most complex since it implies the co-existence of different phases, their mutual interaction and the variations in concentration of these phases. Focusing on these phenomena, a simplified case study was conducted by considering an infinite pipe geometry and investigated by means of the STAR-CCM + software to develop a novel methodology for the detailed external condensation pro. The geometry considered represents the first tube section of an existing heat exchanger, and the condensation of hot humified air impinging on the cold pipe was analysed using a multiphase multicomponent approach based on VOF (Volume of Fluid Method). A specific optimum mesh was tested with two different flow regimes for the fluid film defined on the condensation surface. Since no condensation regime is known in advance, the Resolved Fluid Film model was used to trigger the condensation on the pipe wall, starting by means of the Fluid Film model, in order to predict the amount of condensate phase and its diffusion into the background region. After that, the VOF condensation model was used to trigger the condensation between the vapor phase and the newly formed water liquid phase. The condensation regime is then controlled by means of three main parameters being the two condensation models (film and VOF) under relaxation factors and the transition threshold, generally raging from 0 to 1 and here fixed to an optimal value. Finally, the total amount of condensate phase was compared with extrapolated values from experimental results. The simulation proved to be a reliable simplified prediction of the average condensation production related to the actual experimental setup, with the spatial distribution showing a net separation between the film and the VOF regimes.
冷凝式热交换器在工业过程中发挥着关键作用,可以实现高效的废热回收。存在各种设计,它们取决于主要热源,污染程度,安装位置等。这些成分所涉及的物理学非常复杂,通常很难用实验来研究。因此,数值方法,如CFD(计算流体动力学),被证明是研究特定现象的有用工具。特别是,冷凝现象可能是最复杂的,因为它意味着不同相的共存,它们的相互作用和这些相的浓度变化。针对这些现象,我们进行了一个简化的案例研究,考虑了无限管道的几何形状,并通过STAR-CCM +软件进行了研究,以开发一种详细的外部冷凝过程的新方法。所考虑的几何形状代表了现有换热器的第一管段,并且使用基于VOF(流体体积法)的多相多分量方法分析了热湿化空气撞击冷管的冷凝。在两种不同的流态下,对冷凝表面确定的流体膜进行了特定的优化网格测试。由于事先不知道冷凝状态,因此采用溶解流体膜模型触发管壁上的冷凝,从流体膜模型开始,以预测冷凝相的数量及其向背景区域的扩散。之后,利用VOF冷凝模型触发气相与新形成的水液相之间的冷凝。然后通过松弛因子和过渡阈值下的两个冷凝模型(膜和VOF)和三个主要参数来控制冷凝状态,过渡阈值通常从0到1,这里固定为最优值。最后,将凝析相总量与实验结果外推值进行了比较。结果表明,该模拟是对与实际实验设置相关的平均凝结量的可靠简化预测,其空间分布显示出膜层和VOF区之间的净分离。
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引用次数: 0
The macrostructure and stability of lean stratified methane-air flames 稀薄分层甲烷-空气火焰的宏观结构和稳定性
IF 5.4 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2026-02-01 DOI: 10.1016/j.tsep.2026.104542
Mohammad Raghib Shakeel , Zubairu Abubakar , Esmail M.A. Mokheimer
Stratified flames have received increased attention due to their enhanced flame stability and resilience to high turbulence. In the present study, the flame macrostructure, stability, and emissions of stratified diffusion (jet) flames produced using a dual annular burner are investigated. Stratified flames with a rich mixture in the inner annulus (stratification ratio, SR > 1) were found to exhibit improved stability, resulting in delayed blowoff (higher lean blowoff limit (LBO)) compared to flames with the same mixture composition in both annuli (conventional premixed flames). These flames showed an improvement in the lean blowoff limit by 19–55% relative to non-stratified flames, allowing for the combustion of leaner mixtures and driving all the benefits that entail. This enhancement in stability is attributed to the diffusion of heat and radicals from the rich mixture at the centre of the flame outward toward the extra lean mixture from the outer annulus. Structurally more compact, shorter flames produced by the favoured stratified flames were observed from the Abel deconvoluted images captured using CH* chemiluminescence. However, stratified jet flames with a rich inner annulus also exhibited higher thermal NOx emissions due to the elevated temperatures in the rich inner mixture forming localized hot spots. One way to fully reap the benefits of the stratified flames is to enhance the mixing of the streams by the use of a swirler. Conversely, jet flames with a leaner inner annulus (SR < 1) demonstrated poor stability with lifted flames but lower NOx emissions and poorer combustion efficiency. For cases where SR < 1, there is an unrecovered loss of heat and radicals away from the flame from the outer richer stream, which explains the poorer stability and efficiency. In fact, the lean blowoff limit in these cases decreased only by 2–10% compared to non-stratified flames. Additionally, higher NOx emissions were observed at higher equivalence ratios, owing to the elevated temperatures in rich flames. However, as a consequence of better mixing and reduced hot spots, thermal NOx emissions were found to decrease with increasing Reynolds number.
分层火焰由于其增强的火焰稳定性和对高湍流的恢复能力而受到越来越多的关注。本文研究了双环形燃烧器产生的分层扩散(喷射)火焰的火焰宏观结构、稳定性和发射特性。与两个环空(传统预混火焰)中具有相同混合物成分的火焰相比,在内环空中含有丰富混合物的分层火焰(分层比,SR > 1)表现出更好的稳定性,导致延迟吹出(更高的倾斜吹出极限(LBO))。与非分层火焰相比,这些火焰的稀薄排气极限提高了19-55%,允许燃烧更稀薄的混合物,并带来了所有的好处。这种稳定性的增强是由于火焰中心的丰富混合物的热量和自由基向外扩散到外部环空的额外稀薄混合物。从使用CH*化学发光捕获的阿贝尔反卷积图像中观察到,结构上更紧凑,更短的火焰由有利的分层火焰产生。然而,具有丰富内环空的分层射流火焰也表现出更高的热NOx排放,因为丰富的内部混合物温度升高,形成局部热点。一种充分获得分层火焰的好处的方法是通过使用旋流器来增强流的混合。相反,内环空较细的射流火焰(SR < 1)在升力火焰中表现出较差的稳定性,但NOx排放量较低,燃烧效率较差。在SR <; 1的情况下,热量和自由基的损失无法从火焰中恢复,这解释了较差的稳定性和效率。事实上,与非分层火焰相比,这些情况下的稀薄排气极限仅下降了2-10%。此外,在较高的等效比下,由于富火焰中的温度升高,观察到较高的NOx排放量。然而,由于更好的混合和减少热点,热NOx排放随着雷诺数的增加而减少。
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引用次数: 0
Numerical simulation of the particle trajectory under the free vortex situation: A differential quadrature method 自由涡旋条件下粒子运动轨迹的数值模拟:微分正交法
IF 5.4 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2026-02-01 DOI: 10.1016/j.tsep.2026.104531
Sina Gouran
Eliminating small, hazardous residuals in catalysts used in chemical reactions and reducing particle sedimentation, the present paper aims to employ a rotational procedure under the free vortex condition. After deriving the governing equations for particle motion in polar coordinates, the well-known Differential Quadrature Method (DQM) is applied to solve nonlinear equations. Reasonable agreement is observed between the obtained findings and existing studies. To investigate the role of different parameters on particle behavior under various operating conditions, parameters ranging from the particle’s initial radius to the angular velocity of the domain are varied. Increasing the drag-to-inertia coefficient from 0.06 to 0.24 results in a decrease in particle radial velocity by 14%. Changing the particle initial radius results in a 36% reduction in particle position. Moreover, an innovative insight into the tangential velocity of the particle is reported by varying parameters in the governing equations. The particle’s tangential velocity tends to increase with increasing particle initial radius, while it tends to decrease with increasing particle initial velocity. The effect of initial angular velocities on particle position, radial velocity, and tangential velocity is also remarkable.
为了消除化学反应中催化剂中微小的有害残留物和减少颗粒沉降,本文旨在采用自由涡条件下的旋转过程。在导出极坐标下粒子运动的控制方程后,应用微分正交法(DQM)求解非线性方程。所得结果与现有研究结果之间存在合理的一致性。为了研究不同操作条件下不同参数对粒子行为的影响,从粒子的初始半径到区域的角速度范围的参数都发生了变化。将阻力惯性系数从0.06增加到0.24,颗粒径向速度降低14%。改变粒子初始半径导致粒子位置减少36%。此外,通过改变控制方程中的参数,对粒子的切向速度有了新的认识。颗粒的切向速度随颗粒初始半径的增大而增大,随颗粒初始速度的增大而减小。初始角速度对粒子位置、径向速度和切向速度的影响也很显著。
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引用次数: 0
Adaptive differential evolution approaches in real-time optimization of co-generation systems for enhanced energy minimization 基于能量最小化的热电联产系统实时优化中的自适应差分进化方法
IF 5.4 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2026-01-27 DOI: 10.1016/j.tsep.2026.104534
Fakhrony Sholahudin Rohman , Sharifah Rafidah Wan Alwi , Siti Nor Azreen Ahmad Termizi , Hong An Er , Dinie Muhammad , Ashraf Azmi
This paper examines Real Time Optimization (RTO) for an industrial cogeneration plant featuring a tightly coupled multi boiler turbine network, in which fluctuating steam and power demands and fuel price volatility necessitate continual economic re optimization while preserving closed loop stability. Three evolutionary optimizers are Differential Evolution (DE), Hybrid Differential Evolution (HDE), and Adaptive Differential Evolution (ADE) deployed as the supervisory RTO layer above the regulatory controllers, with Model Predictive Control (MPC) regulating boiler pressure (Control Variable 1, CV1) and drum level CV2 and PI or PI loops regulating turbine power. A deterministic, repeatable stress test is introduced through sequential step changes in high pressure steam demand, medium pressure steam demand, power demand, and natural gas price, enabling systematic evaluation of transient adaptability and robustness. Over five boilers and the turbine network, multi run mean and deviation results show that ADE delivers the most consistent overall behavior, yielding smoother operating trajectories, improved tracking, and lower energy usage. Specifically, the total integrated energy consumption is approximately 895 MWh with ADE, compared to 926 MWh with DE and 1259 MWh with HDE, equivalent to reductions of about 3 percent versus DE and 29 percent versus HDE. Control performance improves in parallel the mean boiler pressure (Integral Square Error) ISE CV1 drops by roughly 68 percent relative to DE and 71 percent relative to HDE, while turbine regulation shows substantial enhancement with turbine ISE reduced by about 98 percent compared with DE. Overall, the results demonstrate that adaptive evolutionary optimization strengthens coordination between the RTO and control layers, providing a robust and energy efficient strategy for real time cogeneration operation under dynamic demand and price disturbances.
本文研究了一个工业热电联产电厂的实时优化(RTO),该电厂具有紧密耦合的多锅炉汽轮机网络,其中波动的蒸汽和电力需求以及燃料价格波动需要持续的经济再优化,同时保持闭环稳定性。三种进化优化器分别是差分进化(DE)、混合差分进化(HDE)和自适应差分进化(ADE),它们被部署为监管RTO层,位于调节控制器之上,模型预测控制(MPC)调节锅炉压力(控制变量1,CV1)和汽包液位CV2, PI或PI回路调节涡轮机功率。通过高压蒸汽需求、中压蒸汽需求、电力需求和天然气价格的连续阶跃变化,引入了确定性、可重复的压力测试,从而系统地评估了暂态适应性和鲁棒性。在5台锅炉和汽轮机网络中,多次运行的平均值和偏差结果表明,ADE提供了最一致的整体行为,产生了更平滑的运行轨迹,改进了跟踪,降低了能耗。具体来说,ADE的总综合能耗约为895兆瓦时,而DE为926兆瓦时,HDE为1259兆瓦时,相当于比DE减少约3%,比HDE减少29%。控制性能同步提高,平均锅炉压力(积分平方误差)ISE CV1相对于DE下降了大约68%,相对于HDE下降了71%,而涡轮机调节性能则显著增强,涡轮机ISE与DE相比降低了约98%。总体而言,结果表明自适应进化优化加强了RTO和控制层之间的协调。为动态需求和价格扰动下的实时热电联产运行提供一个强大的节能策略。
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引用次数: 0
Design optimization and performance comparison of green hydrogen production via PEM, alkaline, and solid oxide electrolyzers coupled with a geothermal power system PEM、碱性和固体氧化物电解槽与地热发电系统的绿色制氢设计优化及性能比较
IF 5.4 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2026-01-27 DOI: 10.1016/j.tsep.2026.104540
Mohammad Zoghi, Saleh Gharaie, Nasser Hosseinzadeh, Ali Zare
Integrating renewable energy sources with various electrolyzer technologies presents a flexible and promising route toward achieving green hydrogen production and supporting net-zero emission goals. This study conducts a parametric investigation and multi-objective optimization of hydrogen generation using three types of electrolyzers—proton exchange membrane (PEME), alkaline (AE), and solid oxide (SOE)—in combination with a geothermal power generation system. Because the SOE requires high operating temperatures, a solar plant is incorporated to preheat the water before it enters the electrolyzer, and the output power of the geothermal plant is supplied to the electrolyzer for hydrogen production in all configurations. The main feature of this study relies on considering key operational parameters, including temperature, current density, and electrolyte thickness, which are examined to assess their influence on system efficiency and cost performance. Then, a combination of artificial neural networks and genetic algorithms is employed to optimize energy, exergy, and exergoeconomic outcomes. The results show that the SOE-based configuration achieves the highest exergy efficiency, reaching 18.23%. In terms of economic performance, the AE system is the most cost-effective, with a total cost rate of 19.84 $/h and a hydrogen production cost of 11 $/GJ (1.32 $/kg). These results underscore the efficiency–cost trade-offs and provide guidance for optimizing geothermal-integrated hydrogen production systems.
将可再生能源与各种电解槽技术相结合,为实现绿色制氢和支持净零排放目标提供了一条灵活而有前途的途径。本研究对质子交换膜(PEME)、碱性(AE)和固体氧化物(SOE)三种电解槽结合地热发电系统制氢进行了参数化研究和多目标优化。由于SOE需要较高的工作温度,因此在进入电解槽之前,太阳能发电厂将对水进行预热,地热发电厂的输出功率将提供给电解槽,用于所有配置的制氢。本研究的主要特点是考虑了关键的操作参数,包括温度、电流密度和电解质厚度,并对这些参数进行了检查,以评估它们对系统效率和性价比的影响。然后,结合人工神经网络和遗传算法来优化能源、能源和劳动经济结果。结果表明,基于soe的配置获得了最高的火用效率,达到18.23%。经济性方面,声发射系统最具成本效益,总成本率为19.84美元/h,制氢成本为11美元/GJ(1.32美元/kg)。这些结果强调了效率与成本之间的权衡,并为优化地热一体化制氢系统提供了指导。
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引用次数: 0
Pyramid-shaped solar still desalination systems performance assessment and optimisation using sequential neural networks and genetic algorithms 利用序列神经网络和遗传算法对金字塔形太阳能蒸馏器脱盐系统进行性能评估和优化
IF 5.4 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2026-01-24 DOI: 10.1016/j.tsep.2026.104532
Jafar Zanganeh, Hajir Karimi, Behdad Moghtaderi
Freshwater scarcity in many regions underscores the urgent need for efficient and sustainable Freshwater production methods. This study presents a sequential artificial neural network (ANN) model, integrated with a genetic algorithm (GA) optimisation, to predict and maximise the freshwater output of a pyramid solar still (PSS). By modelling thermal and mass-transfer stages, the sequential ANN accurately captured complex nonlinear interactions among meteorological, design, and operational parameters, without relying on simplifying assumptions. The ANN model achieved high predictive accuracy (MAE = 0.04, R = 0.98), aligning well with experimental data. Applying importance analysis to the ANN process model, indicated solar irradiance, daytime, and temperature differences have the highest impact, accounting for 70% of the variance in productivity. Optimisation results indicated that the ideal operating conditions were achieved at water depths of 3.5  cm and 3.6  cm, with temperature differential of 11.7 °C for GA. These conditions yielded peak hourly productivity of 0.720  L/m2.hr. The optimal water depths slightly exceed the acceptable range of 1–3  cm reported in the literature, which may be due to differing control conditions in those studies. This hybrid modelling framework provides a powerful tool for improving PSS design and accelerating the commercialisation of solar desalination systems.
许多地区的淡水短缺突出表明迫切需要有效和可持续的淡水生产方法。本研究提出了一个序列人工神经网络(ANN)模型,结合遗传算法(GA)优化,来预测和最大化金字塔太阳能蒸馏器(PSS)的淡水输出。通过对热和传质阶段进行建模,序列人工神经网络准确地捕获了气象、设计和运行参数之间复杂的非线性相互作用,而不依赖于简化的假设。人工神经网络模型预测准确率较高(MAE = 0.04, R = 0.98),与实验数据吻合较好。通过对人工神经网络过程模型的重要性分析,发现太阳辐照度、白天和温度差异的影响最大,占生产率方差的70%。优化结果表明,GA在水深为3.5 cm和3.6 cm、温差为11.7℃时达到理想工况。在这些条件下,每小时的最高生产率为0.720 L/m2.hr。最佳水深略超过文献报道的1-3厘米的可接受范围,这可能是由于这些研究的控制条件不同。这种混合建模框架为改进PSS设计和加速太阳能海水淡化系统的商业化提供了强大的工具。
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引用次数: 0
A novel comparative analysis of heat transfer in a PCM-based heatsink integrated with metal foam under rectangular and trapezoidal pulsed heat fluxes 矩形和梯形脉冲热通量下基于pcm的金属泡沫集成散热器传热的新型对比分析
IF 5.4 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2026-01-23 DOI: 10.1016/j.tsep.2026.104526
Razie Hasanzahraei, Habib-ollah Sayehvand
This work provides an in-depth numerical investigation of how phase change material (PCM) thermally behaves in a PCM-metal-foam heat sink when exposed to time-varying rectangular and trapezoidal pulsed heat fluxes. The PCM undergoes repeated melting and solidifying as the exterior wall is cooled by convective heat transfer. The enthalpy-porosity approach is used to simulate the phase transition, while natural convection effects are treated through the Darcy-Brinkman model. The non-dimensional equations were treated using a finite element discretization and solved in COMSOL Multiphysics. The numerical scheme and resulting outputs were validated through detailed comparisons with available benchmark results, each confirming high accuracy. It was observed that the completion of the first rectangular-pulse cycle corresponds to a 3 K increase in the battery surface temperature relative to its baseline state. At the onset of the second cycle, the PCM has returned to its initial thermal state within that same time frame. Based on these observations, it was found that the total cycle time is approximately 4.5 times longer than the pulse time itself, and the cycles that followed exhibited consistent behavior. In addition, the heatsink behavior was evaluated under a hypothetical scenario in which the thermal pulse followed a trapezoidal shape, while maintaining the same total heat input as the equivalent rectangular pulse. The results showed that when a trapezoidal pulse is applied, the onset of heat-related effects is delayed, the battery surface temperature decreases at each instant, and the period during which the temperature remains at its peak is significantly shorter. In addition, by lowering the maximum and raising the minimum efficiency, the trapezoidal flux limited efficiency fluctuations and yielded a more stable thermal response. Comparison of trapezoidal heat pulses with different decline slopes showed that reducing the pulse slope shortened the dwell time at the peak temperature, thereby enhancing battery safety and prolonging its lifespan. Furthermore, minimizing efficiency fluctuations contributed to improved performance and stability of the heatsink. Lower Biot numbers increased both the average battery surface temperature during the pre-stabilization phase and the dwell time at the peak temperature under rectangular and trapezoidal pulsed heat fluxes.
这项工作提供了一个深入的数值研究如何相变材料(PCM)的热行为在PCM金属泡沫散热器当暴露于时变矩形和梯形脉冲热通量。PCM经历了反复的熔化和凝固,外墙被对流传热冷却。采用焓孔法模拟相变,采用Darcy-Brinkman模型处理自然对流效应。对无量纲方程进行有限元离散化处理,并在COMSOL Multiphysics中求解。通过与现有基准结果的详细比较,验证了数值方案和结果输出,每个结果都证实了高精度。观察到,第一个矩形脉冲周期的完成对应于电池表面温度相对于其基线状态增加了3 K。在第二个循环开始时,PCM在相同的时间范围内恢复到初始热状态。根据这些观察,发现总周期时间大约是脉冲时间本身的4.5倍,并且随后的周期表现出一致的行为。此外,在热脉冲遵循梯形形状的假设情况下,散热器的行为进行了评估,同时保持与等效矩形脉冲相同的总热量输入。结果表明,当施加梯形脉冲时,热相关效应的发生时间被延迟,电池表面温度在每个瞬间都有所下降,且温度保持峰值的时间明显缩短。此外,通过降低最大效率和提高最小效率,梯形通量限制了效率波动,产生了更稳定的热响应。通过对不同下降斜率的梯形热脉冲的比较发现,减小脉冲斜率可以缩短电池在峰值温度处的停留时间,从而提高电池的安全性,延长电池寿命。此外,最大限度地减少效率波动有助于提高散热器的性能和稳定性。在矩形和梯形脉冲热通量下,较低的Biot数增加了预稳定阶段的平均电池表面温度和峰值温度的停留时间。
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引用次数: 0
Multi-dimensional signal evolution and heat transfer for thermal runaway propagation of large-capacity lithium-ion battery under overheating 过热情况下大容量锂离子电池热失控传播的多维信号演化与传热
IF 5.4 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2026-01-20 DOI: 10.1016/j.tsep.2026.104524
Tao Long , Chuang He , Situo Li , Yunfeng Jia , Zhirong Wang , Junling Wang , Yajun Huang , Wei Wang , Tao Zhao , Hao Chen
Existing studies have mostly focused on thermal runaway (TR) of lithium iron phosphate (LFP) batteries under various abuse conditions such as overheating, overcharge, and puncturing, with insufficient attention on thermal runaway propagation (TRP) mechanism. To address this, this study has conducted experiments on TRP of 314 Ah LFP batteries under various heating powers (400, 600, 800, 1000 W), acquiring and analyzing parameters including temperature, voltage, heat transfer, gas production, mass loss, and expansion force. As revealed, the heating power significantly affects the occurrence and propagation of TR. Higher power leads to shorter TR onset time, faster TR rate, and more rapid voltage drop. Meanwhile, TRP speed decreases with the increasing of power. Heat from Battery 1# to 2# rises with heating power, yet low-power settings (e.g., 400 W) enable Battery 2# to pre-accumulate heat and lower its TR trigger threshold. In addition, lower power causes more uniform heating and nearly simultaneous TR of cores, leading to higher H2 and CO yields. Heating power mainly impacts TR onset time rather than severity, as mass loss and expansion force peaks remain basically consistent, indicating the stable reaction intensity once TR initiates. This study clarifies the TRP mechanism of large-capacity LFP batteries under overheating, linking heating power to key TR characteristics. The obtained results will deepen the understanding towards TRP mechanism of large-capacity LFP batteries and support the design of fire prevention and emergency disposal for energy storage system.
现有的研究多集中在磷酸铁锂(LFP)电池在过热、过充、刺破等各种滥用条件下的热失控(TR),而对热失控传播(TRP)机理的研究不够。为此,本研究对314 Ah LFP电池在不同加热功率(400、600、800、1000 W)下的TRP进行了实验,获取并分析了温度、电压、传热、产气、质量损失、膨胀力等参数。结果表明,加热功率显著影响trr的发生和传播,功率越大,trr发生时间越短,trr速率越快,压降越快。同时,TRP转速随功率的增大而减小。从电池1#到2#的热量随着加热功率的增加而上升,但低功率设置(例如,400 W)使电池2#能够预积累热量并降低其TR触发阈值。此外,较低的功率导致更均匀的加热和芯几乎同时TR,从而导致更高的H2和CO产率。加热功率主要影响TR发生时间而非严重程度,质量损失和膨胀力峰值基本保持一致,表明TR发生后反应强度稳定。本研究阐明了大容量LFP电池过热下的TRP机理,将加热功率与关键的TRP特性联系起来。所得结果将加深对大容量LFP电池TRP机理的认识,为储能系统的防火和应急处置设计提供依据。
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引用次数: 0
Analysis and modeling of thermal behavior and grain morphology in laser powder bed fusion of Ti-Cu alloys 激光粉末床熔合Ti-Cu合金的热行为和晶粒形貌分析与建模
IF 5.4 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2026-01-19 DOI: 10.1016/j.tsep.2026.104492
Rui Fang , Jiaming Ding , Xia Ji , Steven Y. Liang
The microstructure and service properties of laser powder bed fusion components are critically determined by complex thermal cycles. This study presents a computational thermal-modeling framework to predict grain evolution in Ti-Cu alloys during laser powder bed fusion. The framework incorporates key effects, including solute redistribution, Marangoni convection, and in-situ thermal cycling, within a defined semi-infinite domain accounting for conductive heat dissipation and the solute boundary layer. The transient temperature field and thermal history were calculated using a moving point heat source model. Nucleation undercooling of Ti-Cu alloys was evaluated via a free-growth model, and the initial partition coefficient was refined by incorporating the Marangoni effect. The initial grain size was predicted based on the interdependence theory, and the final grain size evolution during thermal cycling was governed by the Johnson-Mehl-Avrami-Kolmogorov model coupled with a refinement function. Results indicated that the initial grain size exhibits a distinct U-shaped distribution across the molten pool width, while the final grain size shows a peak trend along the scan path after thermal cycling. Sensitivity analysis showed that the solidification rate, impurity diffusion coefficient, and nucleation undercooling are the dominant factors influencing the grain size. This work provides an efficient numerical tool for understanding and predicting the thermal-process-microstructure relationship in metal additive manufacturing, facilitating thermal-related process optimization.
复杂的热循环对激光粉末床熔合件的微观结构和使用性能有重要影响。本研究提出了一种计算热模拟框架来预测激光粉末床熔合过程中Ti-Cu合金的晶粒演变。该框架结合了关键效应,包括溶质再分配、Marangoni对流和原位热循环,在一个定义的半无限域内考虑传导散热和溶质边界层。采用动点热源模型计算了瞬态温度场和热历史。采用自由生长模型对Ti-Cu合金的成核过冷进行了评价,并结合Marangoni效应对初始分配系数进行了细化。初始晶粒尺寸预测基于相互依赖理论,热循环过程中最终晶粒尺寸演化由Johnson-Mehl-Avrami-Kolmogorov模型和细化函数耦合控制。结果表明:初始晶粒尺寸沿熔池宽度呈明显的u型分布,热循环后的最终晶粒尺寸沿扫描路径呈峰值趋势;敏感性分析表明,凝固速率、杂质扩散系数和形核过冷度是影响晶粒尺寸的主要因素。这项工作为理解和预测金属增材制造中热-过程-微观结构的关系提供了有效的数值工具,促进了与热相关的工艺优化。
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引用次数: 0
Modeling and simulations of a contaminated still water tank drying under solar radiation 太阳辐射下污染静水箱干燥的建模与模拟
IF 5.4 3区 工程技术 Q2 ENERGY & FUELS Pub Date : 2026-01-19 DOI: 10.1016/j.tsep.2026.104514
Quentin Royer , Romain Guibert , Pierre Horgue , Adam Swadling , Gérald Debenest
The present work aims to numerically study the evolution of the water vapor flux of a contaminated still water tank heated by a chronicle of solar radiation flux inside a wind tunnel where the air flow properties are controlled. Solving this problem involves solving a multiphase flow coupled with radiation. To simplify the numerical model, the liquid inside the tank is considered as a purely diffusive system thanks to its stillness and is assumed to be compatible with the view factors radiation model thanks to the impurity of the water. Then, an incompressible multi-region solver is used to solve the mass, momentum and vapor concentration conservation equations in the air flow and the energy conservation is solved in both air and water. The relevance of the variation of the radiative properties of the liquid as well as the intensity of the solar flux to enhance the vapor flux is studied. Results show that the maximum reachable vapor flux scales linearly with the radiative properties of the liquid. Additionally, the effect of the tank depth on its drying performance when heated by an external flux similar to a solar chronic is studied, providing the main finding from this work:the minimum daily integrated vapor flux is reached when the tank depth is close to the theoretical one-dimensional radiative flux penetration length inside a solid.
本文旨在数值研究受太阳辐射通量年表加热的受污染的静水箱在风洞内的水汽通量演化,风洞内的空气流动特性受到控制。要解决这个问题,需要解决与辐射耦合的多相流问题。为了简化数值模型,由于罐内液体静止,将其视为纯扩散系统;由于水的杂质,假定罐内液体与观因子辐射模型兼容。然后,利用不可压缩多区域求解器求解了气流中的质量守恒方程、动量守恒方程和蒸汽浓度守恒方程,并求解了空气和水中的能量守恒方程。研究了液体辐射特性的变化与太阳通量强度对蒸汽通量增强的相关性。结果表明,最大可达蒸汽通量与液体的辐射特性呈线性关系。此外,研究了在类似太阳慢性外通量加热下,储罐深度对其干燥性能的影响,提供了本工作的主要发现:当储罐深度接近固体内部一维辐射通量理论穿透长度时,日综合蒸汽通量达到最小。
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引用次数: 0
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Thermal Science and Engineering Progress
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