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Optimizing Integrated Energy Systems with a Virtual Energy Station Framework: Exergy-Based Scheduling and Multi-Energy Integration 基于虚拟能源站框架的综合能源系统优化:基于火用的调度与多能源集成
IF 6.8 2区 工程技术 Q1 THERMODYNAMICS Pub Date : 2026-02-03 DOI: 10.1016/j.csite.2026.107799
Zhimin Cui, Yaping Wang, Shaomin Xie
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引用次数: 0
Investigation on HHO-Assisted Combustion Performance and NOx Emissions in Pulverized Coal Boilers under Low-Load Conditions 低负荷条件下煤粉锅炉hho辅助燃烧性能及NOx排放研究
IF 6.8 2区 工程技术 Q1 THERMODYNAMICS Pub Date : 2026-02-03 DOI: 10.1016/j.csite.2026.107791
Jie Cui, Yuhang Xiao, Xiu Yang, Zhaocong Zheng, Liang Zhu, Benchuan Xu, Jingchao Sun, Shuo Yang, Yudong Fu, Honggang Pan, Youning Xu
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引用次数: 0
Rooftop Photovoltaics in Western China: A Study on Temperature and Urban Heat Island Dynamics in a Typical Valley City 中国西部地区屋顶光伏:典型山谷城市温度与城市热岛动态研究
IF 6.8 2区 工程技术 Q1 THERMODYNAMICS Pub Date : 2026-02-02 DOI: 10.1016/j.csite.2026.107779
Dongyu Jia, Liwei Yang, Xiaoqing Gao, Shuyuan Ren
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引用次数: 0
Study on CO Concentration Distribution and Ventilation Scheme Optimization in Ultra-Long Drift-Type High-Altitude Tunnel Construction 超长进路式高空隧道施工CO浓度分布及通风方案优化研究
IF 6.8 2区 工程技术 Q1 THERMODYNAMICS Pub Date : 2026-02-02 DOI: 10.1016/j.csite.2026.107784
Yang Liu, Meng Wei, Haitao Zhang, Yuwei Liu, Jiandong Liao
In high-altitude regions, low atmospheric pressure and air density markedly reduce ventilation efficiency during tunnel construction, causing CO accumulation and severe safety risks. Using the Gongga Tunnel, a national key project, as a case study, this study combines numerical simulation and field experiments to clarify the drift-type ventilation flow and CO migration in the main-pilot tunnel system under high-altitude conditions. The effects of ventilation parameters on system performance were analyzed, the optimal ventilation scheme was proposed, and its effectiveness was validated on site. The results indicate that vortices formed near the working face due to airflow conflict lead to CO concentration peaks 50-125 m from the face. CO migrates toward the tunnel portal as gas masses, expanding in volume and decreasing in peak concentration. Due to cross-sectional shape differences, diffusion in the main-pilot tunnels differs, but both show central CO peaks and lower edge concentrations, matching field tests. Comparative analysis shows that parameter influence on ventilation efficiency follows: duct-working face distance > duct outlet velocity > duct layout position. Optimal performance occurs when duct height is 7.1 m, outlet distance 50 m, velocity 20 m/s, reducing average CO peak concentration by about 22% after 360 s of ventilation.
在高海拔地区,较低的大气压力和空气密度显著降低了隧道施工的通风效率,造成CO积累,存在严重的安全隐患。以国家重点工程贡嘎隧道为例,采用数值模拟与现场试验相结合的方法,对高海拔条件下主导洞系统的漂移式通风流及CO迁移进行了研究。分析了通风参数对系统性能的影响,提出了最优通风方案,并对其有效性进行了现场验证。结果表明:在工作面附近由于气流冲突而形成的涡流导致CO浓度在工作面50 ~ 125 m处出现峰值;CO以气态团块的形式向隧道入口迁移,体积增大,峰值浓度减小。由于断面形状的不同,主导洞的扩散也不同,但均表现出中心CO峰值和较低的边缘浓度,与现场试验结果相符。对比分析表明,各参数对通风效率的影响依次为:风管工作面距离>;风管出口速度>;风管布置位置。当风管高度为7.1 m,出口距离为50 m,流速为20 m/s时,通风360 s后CO峰值浓度平均降低约22%。
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引用次数: 0
Analysis of Magnetohydrodynamic Ferrofluid Flow with Internal Heat Generation and Joule Heating in a Heater-Embedded Square Chamber 内热和焦耳加热下嵌入加热器的方形室磁流体动力学流动分析
IF 6.8 2区 工程技术 Q1 THERMODYNAMICS Pub Date : 2026-02-02 DOI: 10.1016/j.csite.2026.107793
Shorup Chanda, Sumon Saha, Nripendranath Biswas
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引用次数: 0
Performance Enhancement of a Small Solar Desalination Still with Active Solar Tracking, Spray Evaporation, and Auxiliary Electrical Heating 采用主动太阳能跟踪、喷雾蒸发和辅助电加热的小型太阳能海水淡化装置的性能增强
IF 6.8 2区 工程技术 Q1 THERMODYNAMICS Pub Date : 2026-02-02 DOI: 10.1016/j.csite.2026.107792
Min-Wen Wang, Rui-Yun Hsu, Chi-Feng Hung, Tsung-Chieh Cheng
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引用次数: 0
Calculation model for the thermal conductivity of concrete considering microstructural characteristics 考虑细观结构特性的混凝土导热系数计算模型
IF 6.8 2区 工程技术 Q1 THERMODYNAMICS Pub Date : 2026-02-02 DOI: 10.1016/j.csite.2026.107789
Xiaohan Zhou, Zirui Li, Xinrong Liu, Yan Wang, Libing Du
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引用次数: 0
Energy–exergy and entropy generation analysis of a PVT-TEG module using a sinusoidal channel combined with jet-impingement cooling 基于正弦通道结合射流冲击冷却的PVT-TEG模块能量-火用和熵产分析
IF 6.4 2区 工程技术 Q1 THERMODYNAMICS Pub Date : 2026-02-01 DOI: 10.1016/j.csite.2026.107662
Hatem Gasmi , Khalil Hajlaoui , Ali M. Mohsen , As'ad Alizadeh , Mujtaba A. Flayyih , Mohamed Shaban , Walid Aich , Karim Kriaa
This study investigates the thermo-electrical performance and entropy generation of a hybrid PVT-TEG system cooled by a Jet Impingement Module (JIM) across four channel geometries and Re numbers (400–1600). The JIM system achieved superior thermal management, significantly reducing the average PV temperature by up to 3.4 K to a stable 305.3 K and lowering the thermal entropy generation by 15–25 %. However, this enhancement came with a substantial energy penalty. The parasitic power required for pumping surged by orders of magnitude, reaching over 2 W, which drastically reduced the net electrical output. Consequently, the system's net electrical power was nearly halved (1.92–2.16 W with JIM vs. ∼3.95 W without JIM), and the electrical exergy efficiency reduced to 7.7–8.6 % compared to 15.8–15.9 % for the non-JIM configuration. Furthermore, while thermal irreversibilities were reduced, frictional entropy generation became dominant, soaring to values between 819 and 1074 W/K due to the intense fluid friction in the JIM cooler. The results demonstrate a critical trade-off, where the significant pumping power consumption and associated frictional losses ultimately outweigh the benefits of improved heat transfer, rendering the simple channel without JIM more effective for net energy production.
本研究研究了由射流撞击模块(JIM)冷却的混合PVT-TEG系统的热电性能和熵生成,该系统跨越四种通道几何形状和Re数(400-1600)。JIM系统实现了卓越的热管理,将PV平均温度降低了3.4 K,达到稳定的305.3 K,并将热熵产生降低了15-25%。然而,这种增强带来了大量的能量损失。泵送所需的寄生功率激增了几个数量级,达到2w以上,这大大降低了净电力输出。因此,系统的净电功率几乎减少了一半(使用JIM时为1.92-2.16 W,而不使用JIM时为3.95 W),电能效率降至7.7-8.6%,而非JIM配置时为15.8-15.9%。此外,当热不可逆性降低时,摩擦熵产生成为主导,由于JIM冷却器中强烈的流体摩擦,其值飙升至819至1074 W/K之间。结果表明了一个关键的权衡,其中显著的泵送功率消耗和相关的摩擦损失最终超过了改善传热的好处,使得没有JIM的简单通道更有效地产生净能量。
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引用次数: 0
Integrated financial risk management framework: A quantitative portfolio optimization analysis 综合财务风险管理框架:量化投资组合优化分析
IF 6.4 2区 工程技术 Q1 THERMODYNAMICS Pub Date : 2026-02-01 DOI: 10.1016/j.csite.2026.107663
Jiayang Wang , Zhuoyang Zhao , Li Wang
This research develops a comprehensive financial risk management framework integrating multiple asset classes and derivative instruments for institutional portfolio optimization. The study employs advanced quantitative methods including Value-at-Risk (VaR), Conditional Value-at-Risk (CVaR), and stochastic optimization to construct resilient investment portfolios under market uncertainty. We analyze risk-return tradeoffs across equity, fixed-income, commodity, and alternative investment vehicles while incorporating dynamic hedging strategies. Using Monte Carlo simulation and copula-based dependency modeling, we assess portfolio performance under various macroeconomic scenarios including inflation shocks, interest rate volatility, and currency fluctuations. The framework demonstrates superior risk-adjusted returns with a Sharpe ratio of 1.85, Information ratio of 0.92, and maximum drawdown reduction of 18.7 % compared to benchmark indices. Tail risk metrics show CVaR improvements of 24.3 % through optimal derivative overlay strategies. The integrated system provides real-time risk monitoring, stress testing capabilities, and automated rebalancing mechanisms for institutional asset managers.
本研究开发了一个综合金融风险管理框架,整合多种资产类别和衍生工具,以优化机构投资组合。本研究采用先进的定量方法,包括风险价值(VaR)、条件风险价值(CVaR)和随机优化,构建市场不确定性下的弹性投资组合。我们分析了股票、固定收益、商品和另类投资工具的风险回报权衡,同时纳入了动态对冲策略。使用蒙特卡罗模拟和基于copula的依赖模型,我们评估了投资组合在各种宏观经济情景下的表现,包括通货膨胀冲击、利率波动和货币波动。与基准指数相比,该框架的夏普比率为1.85,信息比率为0.92,最大跌幅减少18.7%,具有较好的风险调整收益。尾部风险指标显示,通过最优衍生工具叠加策略,CVaR提高了24.3%。集成系统为机构资产管理人员提供实时风险监控、压力测试能力和自动再平衡机制。
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引用次数: 0
Study on temperature distribution of permanent magnet synchronous motor for electric vehicles under three-port hybrid cooling structure 三孔混合冷却结构下电动汽车用永磁同步电机温度分布研究
IF 6.4 2区 工程技术 Q1 THERMODYNAMICS Pub Date : 2026-02-01 DOI: 10.1016/j.csite.2026.107727
Shifan Luo , Weili Li , Baowang Huang , Jianfeng Hong , Lianxin Wang , Haibin Wang
Permanent magnet synchronous motors (PMSMs) in electric vehicles operate within highly constrained installation spaces, leading to compact volumes, elevated stator winding current densities, increased losses, and a heightened risk of excessive local temperature rise. This paper investigates a 250 kW double-V interior PMSM for electric vehicle applications. A three-dimensional lumped parameter thermal network (LPTN) model of a single-port housing water jacket cooled PMSM is first developed for both constant-torque and constant-power operating regions. Thermal resistance parameters and heat transfer coefficients for each component are incorporated to calculate the temperature distribution of the stator windings and permanent magnets. To mitigate end-winding overheating under single-port cooling, a dual-port configuration combining housing water jacket cooling and outer-surface oil spray for the end-windings is proposed, and its corresponding LPTN model is established. The hotspot temperature migration under combined water-oil cooling is analyzed. Furthermore, to minimize the temperature difference between the inner and outer end-winding surfaces and enhance rotor cooling, a shaft oil-slinging path is introduced. Integrating this with the previous two methods forms a three-port hybrid cooling architecture that enables coordinated temperature control of the stator straight section, end-windings, and rotor shaft system. During model development, an innovative thermal management evaluation method and an “environmental envelope” concept are incorporated into the LPTN framework to unify the heat exchange boundary between multiple cooling paths and the ambient environment, thereby improving calculation accuracy and model scalability. Finally, an experimental platform for stator-rotor temperature measurement is built. Temperature tests under various operating conditions are compared with simulation results, confirming the accuracy and validity of the proposed three-port cooling LPTN model. The results provide theoretical guidance and engineering reference for temperature rise control and cooling system optimization in high-speed, high-power-density PMSMs for electric vehicles.
电动汽车中的永磁同步电机(pmms)在高度受限的安装空间内运行,导致体积紧凑,定子绕组电流密度升高,损耗增加,并且局部温度过高的风险增加。本文研究了一种用于电动汽车的250kw双v内置式永磁同步电机。针对恒转矩和恒功率工况,首次建立了单端口水套冷却永磁同步电机的三维集总参数热网络(LPTN)模型。结合各部件的热阻参数和传热系数计算定子绕组和永磁体的温度分布。为了缓解端绕组在单孔冷却条件下的过热问题,提出了端绕组壳体水套冷却与外表面喷油相结合的双孔结构,并建立了相应的LPTN模型。分析了水油联合冷却下的热点温度迁移。此外,为了减小内外端面温差,提高转子冷却效果,还引入了轴吊油路径。将此方法与前两种方法相结合,形成三端口混合冷却架构,可以协调控制定子直段,端绕组和转子轴系统的温度。在模型开发过程中,在LPTN框架中引入了创新的热管理评价方法和“环境包络”概念,统一了多个冷却路径与环境的换热边界,从而提高了计算精度和模型可扩展性。最后,搭建了定转子温度测量实验平台。将不同工况下的温度试验结果与仿真结果进行了比较,验证了所提出的三口冷却LPTN模型的准确性和有效性。研究结果为高速、高功率密度电动汽车永磁同步电机温升控制和冷却系统优化提供了理论指导和工程参考。
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Case Studies in Thermal Engineering
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