Pub Date : 2026-02-06DOI: 10.1016/j.applthermaleng.2026.130116
Josip Miškić, Tomislav Pukšec
Low-temperature district heating systems supplied from urban waste heat sources are becoming increasingly important in achieving the sustainability targets of the heating and cooling sector. This paper investigates these systems by introducing a day-ahead market clearing model for low-temperature district heating systems, which are primarily supplied by low-temperature urban waste heat sources. The model offers a comprehensive assessment focusing on energy, economic, and environmental aspects of low-temperature district heating systems while incorporating market incentive models such as the Feed-in Premium model. Additionally, the model incorporates the EU Emission Trading System to assess the impact of greenhouse gas trading on economic outcomes. The results are presented through a series of diagrams highlighting the effects of various market and economic parameters on the viability of incorporating urban waste heat into district heating systems. Results showed that the Ultra low temperature configuration achieved a levelized cost of heat of 93 €/MWh, with a primary energy factor of 0.288 and a carbon emission factor of 0.037, markedly lower than the 150 €/MWh, 1.187, and 0.241 values recorded for conventional gas-based systems. Furthermore, the study showed that urban waste heat, primarily from data centres (supplying 88% of the heat) and supported by fixed Feed-in Premium market schemes, reduced the investment payback period from 2.2 years to 1.4 years. This enhances economic feasibility, despite some components having longer payback periods.
{"title":"Day ahead market clearing model for low-temperature district heating systems based on urban waste heat","authors":"Josip Miškić, Tomislav Pukšec","doi":"10.1016/j.applthermaleng.2026.130116","DOIUrl":"10.1016/j.applthermaleng.2026.130116","url":null,"abstract":"<div><div>Low-temperature district heating systems supplied from urban waste heat sources are becoming increasingly important in achieving the sustainability targets of the heating and cooling sector. This paper investigates these systems by introducing a day-ahead market clearing model for low-temperature district heating systems, which are primarily supplied by low-temperature urban waste heat sources. The model offers a comprehensive assessment focusing on energy, economic, and environmental aspects of low-temperature district heating systems while incorporating market incentive models such as the Feed-in Premium model. Additionally, the model incorporates the EU Emission Trading System to assess the impact of greenhouse gas trading on economic outcomes. The results are presented through a series of diagrams highlighting the effects of various market and economic parameters on the viability of incorporating urban waste heat into district heating systems. Results showed that the Ultra low temperature configuration achieved a levelized cost of heat of 93 €/MWh, with a primary energy factor of 0.288 and a carbon emission factor of 0.037, markedly lower than the 150 €/MWh, 1.187, and 0.241 values recorded for conventional gas-based systems. Furthermore, the study showed that urban waste heat, primarily from data centres (supplying 88% of the heat) and supported by fixed Feed-in Premium market schemes, reduced the investment payback period from 2.2 years to 1.4 years. This enhances economic feasibility, despite some components having longer payback periods.</div></div>","PeriodicalId":8201,"journal":{"name":"Applied Thermal Engineering","volume":"291 ","pages":"Article 130116"},"PeriodicalIF":6.9,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-06DOI: 10.1016/j.applthermaleng.2026.130160
Yihua Yu , Qiu Tu , Xinyue Hao , Lu Liu , Luka Boban , Vladimir Soldo
To efficiently obtain heat storage hot water as heat source for the active enhanced vapor injection, the heat storage performance of a solar-driven heat pump with two self-contained heat storage modes has been investigated. This study explores effects of conventional vapor injection on the heat storage performance using the sub-cooling degree as the control target. The results indicate that essential difference between the two heat storage modes lies in the different characteristic sub-cooling degree, which leads to different heat storage performance and vapor injection effect. For non-injection heat pump, the static heat storage mode has a greater characteristic sub-cooling degree and better performance than the dynamic heat storage mode. The former achieves higher heat storage rate by 24.2% and greater coefficient of performance by 11.7% than the latter. For the vapor injection heat pump, the heat storage rate and coefficient of performance increased by 34.3% and 13.3% under the dynamic heat storage mode are significantly higher than those with improvements of 11.3% and 5.7% under the static heat storage mode. The system under both modes achieved the optimal performance at the sub-cooling degree of 10 °C. The findings provide a basis and guidance for the formulation of control strategies.
{"title":"Investigation on effects of enhanced vapor injection on heat storage performance of heat pump","authors":"Yihua Yu , Qiu Tu , Xinyue Hao , Lu Liu , Luka Boban , Vladimir Soldo","doi":"10.1016/j.applthermaleng.2026.130160","DOIUrl":"10.1016/j.applthermaleng.2026.130160","url":null,"abstract":"<div><div>To efficiently obtain heat storage hot water as heat source for the active enhanced vapor injection, the heat storage performance of a solar-driven heat pump with two self-contained heat storage modes has been investigated. This study explores effects of conventional vapor injection on the heat storage performance using the sub-cooling degree as the control target. The results indicate that essential difference between the two heat storage modes lies in the different characteristic sub-cooling degree, which leads to different heat storage performance and vapor injection effect. For non-injection heat pump, the static heat storage mode has a greater characteristic sub-cooling degree and better performance than the dynamic heat storage mode. The former achieves higher heat storage rate by 24.2% and greater coefficient of performance by 11.7% than the latter. For the vapor injection heat pump, the heat storage rate and coefficient of performance increased by 34.3% and 13.3% under the dynamic heat storage mode are significantly higher than those with improvements of 11.3% and 5.7% under the static heat storage mode. The system under both modes achieved the optimal performance at the sub-cooling degree of 10 °C. The findings provide a basis and guidance for the formulation of control strategies.</div></div>","PeriodicalId":8201,"journal":{"name":"Applied Thermal Engineering","volume":"290 ","pages":"Article 130160"},"PeriodicalIF":6.9,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146186293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-06DOI: 10.1016/j.applthermaleng.2026.130091
Zeng Long , Maohua Zhong , Hongqing Zhu
Effective ventilation measures for smoke control in metro stations play a significant role in providing a safe evacuation environment and preventing casualties. Current research about ventilation theory has application limitations in on-site fire emergencies. To address this issue, the critical ventilation volume is focused on under different heat release rates (HRRs), ceiling screen depths and fire source locations, through theoretical analysis, experiments and simulations. The research perspective includes two aspects: on the one hand, a prediction model for the smoke overflow range in the station hall is proposed based on equivalent diameter, and it can be transformed into the calculation formula for critical ventilation volume when the equivalent diameter is zero. On the other hand, the critical velocity at the stair opening is modelled under different fire scenarios, which is used to calculate the air volume distribution of each staircase. On this basis, the prediction models for critical ventilation volume can be established, considering two staircase layouts on the platform. Additionally, the calculated model under the most dangerous fire scenario is compared with the specified values in the ‘Code for design of metro’ (GB50157-2013), verifying the applicability of the model. This work can provide references for the ventilation volume design of subway stations, and guide the on-site emergency measures for smoke control.
{"title":"Experimental and numerical study on critical ventilation volume for fire-induced smoke control in a metro station","authors":"Zeng Long , Maohua Zhong , Hongqing Zhu","doi":"10.1016/j.applthermaleng.2026.130091","DOIUrl":"10.1016/j.applthermaleng.2026.130091","url":null,"abstract":"<div><div>Effective ventilation measures for smoke control in metro stations play a significant role in providing a safe evacuation environment and preventing casualties. Current research about ventilation theory has application limitations in on-site fire emergencies. To address this issue, the critical ventilation volume is focused on under different heat release rates (HRRs), ceiling screen depths and fire source locations, through theoretical analysis, experiments and simulations. The research perspective includes two aspects: on the one hand, a prediction model for the smoke overflow range in the station hall is proposed based on equivalent diameter, and it can be transformed into the calculation formula for critical ventilation volume when the equivalent diameter is zero. On the other hand, the critical velocity at the stair opening is modelled under different fire scenarios, which is used to calculate the air volume distribution of each staircase. On this basis, the prediction models for critical ventilation volume can be established, considering two staircase layouts on the platform. Additionally, the calculated model under the most dangerous fire scenario is compared with the specified values in the ‘Code for design of metro’ (GB50157-2013), verifying the applicability of the model. This work can provide references for the ventilation volume design of subway stations, and guide the on-site emergency measures for smoke control.</div></div>","PeriodicalId":8201,"journal":{"name":"Applied Thermal Engineering","volume":"290 ","pages":"Article 130091"},"PeriodicalIF":6.9,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146186396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper presents the design, fabrication, testing, and evaluation results of a re-deployable radiator developed for deep space exploration missions. This radiator, referred to as a reversible thermal panel (RTP), is a thermal control device that autonomously deploys and stows its radiator fin in response to temperature variations at the heat source. The radiator fin is made of laminated graphite sheets with high thermal conductivity, and the deployment/stowing mechanism employs an actuator driven by shape memory alloys, enabling lightweight, power-free operation. Target specifications for installation into the deep space probe, DESTINY+, were established, and the first flight-capable RTP that met these specifications was developed. A new actuator mechanism that converts linear motion into rotational motion via a link mechanism was proposed and implemented, achieving reduced temperature hysteresis. Thermal vacuum tests were conducted to evaluate the heat dissipation performance of the RTP, achieving a heat dissipation per unit mass of 149 W/kg. The measured temperature hysteresis was 26 °C, a lower value than that reported for previously developed RTPs. A detailed thermal mathematical model was developed based on the RTP geometry. Correlation was performed using the test results, demonstrating the development of a highly accurate thermal mathematical model. Analytical evaluation using the correlated model clarified the heat dissipation ratio and fin efficiency at each deployment angle. A simplified thermal network model that incorporates the hysteresis characteristics of the SMA actuator was developed, and demonstrated that temperature oscillations can potentially be suppressed by tuning the hysteresis characteristics of the actuator.
{"title":"Design, testing, and analytical characterization of a low-hysteresis linkage-actuated re-deployable radiator for deep space missions","authors":"Yuki Akizuki , Kenichiro Sawada , Tomihiro Kinjo , Hiroyuki Ogawa , Toshiaki Okudaira , Hiroyuki Toyota , Kazutaka Nishiyama , Hiroshi Imamura , Takeshi Takashima , Kan Matsumoto , Takeshi Kuratomi , Kazuki Watanabe , Hosei Nagano","doi":"10.1016/j.applthermaleng.2026.130129","DOIUrl":"10.1016/j.applthermaleng.2026.130129","url":null,"abstract":"<div><div>This paper presents the design, fabrication, testing, and evaluation results of a re-deployable radiator developed for deep space exploration missions. This radiator, referred to as a reversible thermal panel (RTP), is a thermal control device that autonomously deploys and stows its radiator fin in response to temperature variations at the heat source. The radiator fin is made of laminated graphite sheets with high thermal conductivity, and the deployment/stowing mechanism employs an actuator driven by shape memory alloys, enabling lightweight, power-free operation. Target specifications for installation into the deep space probe, DESTINY<sup>+</sup>, were established, and the first flight-capable RTP that met these specifications was developed. A new actuator mechanism that converts linear motion into rotational motion via a link mechanism was proposed and implemented, achieving reduced temperature hysteresis. Thermal vacuum tests were conducted to evaluate the heat dissipation performance of the RTP, achieving a heat dissipation per unit mass of 149 W/kg. The measured temperature hysteresis was 26 °C, a lower value than that reported for previously developed RTPs. A detailed thermal mathematical model was developed based on the RTP geometry. Correlation was performed using the test results, demonstrating the development of a highly accurate thermal mathematical model. Analytical evaluation using the correlated model clarified the heat dissipation ratio and fin efficiency at each deployment angle. A simplified thermal network model that incorporates the hysteresis characteristics of the SMA actuator was developed, and demonstrated that temperature oscillations can potentially be suppressed by tuning the hysteresis characteristics of the actuator.</div></div>","PeriodicalId":8201,"journal":{"name":"Applied Thermal Engineering","volume":"291 ","pages":"Article 130129"},"PeriodicalIF":6.9,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-06DOI: 10.1016/j.applthermaleng.2026.130075
Ruinian Peng , Hongming Tang , Jian Wu
The optimization of the Magnetic Czochralski (MCZ) crystal growth process is crucial for producing high-quality single-crystal silicon but is challenged by the complex interplay of multiple physical phenomena and computationally expensive simulations. Achieving both high crystal quality and production efficiency often involves navigating conflicting objectives. To address this challenge, this study proposes and implements a multi-objective optimization framework based on surrogate modeling. The framework integrates high-fidelity Computational Fluid Dynamics (CFD) simulations, ensemble learning surrogate models, and the Non-dominated Sorting Genetic Algorithm II. The primary objectives were to minimize the solid–liquid interface deflection () and maximize the crystal pulling velocity (V), while satisfying the v/G Voronkov criterion. Eight key process and geometric parameters were investigated. Accurate surrogate models (R) were successfully developed, serving as efficient proxies for the CFD simulations. Model interpretation using SHapley Additive exPlanations and Response Surface Analysis revealed that while deflection is predominantly driven by the pulling velocity, the v/G ratio is governed by a more complex, multi-parameter interaction, highlighting the limitations of single-parameter tuning. The optimization successfully generated a 3D Pareto front of optimal solutions, offering a range of actionable process recipes from conservative (low-deflection) to aggressive (high-V) that significantly outperform the initial base cases. This work provides not only a set of optimized process parameters but also demonstrates a robust methodology for navigating the complex design space of the MCZ process. The findings offer a valuable data-driven tool for process engineers to make informed decisions that balance the competing demands of crystal quality and production efficiency.
{"title":"Multi-objective optimization of Magnetic Czochralski crystal growth process using surrogate modeling and evolutionary algorithm","authors":"Ruinian Peng , Hongming Tang , Jian Wu","doi":"10.1016/j.applthermaleng.2026.130075","DOIUrl":"10.1016/j.applthermaleng.2026.130075","url":null,"abstract":"<div><div>The optimization of the Magnetic Czochralski (MCZ) crystal growth process is crucial for producing high-quality single-crystal silicon but is challenged by the complex interplay of multiple physical phenomena and computationally expensive simulations. Achieving both high crystal quality and production efficiency often involves navigating conflicting objectives. To address this challenge, this study proposes and implements a multi-objective optimization framework based on surrogate modeling. The framework integrates high-fidelity Computational Fluid Dynamics (CFD) simulations, ensemble learning surrogate models, and the Non-dominated Sorting Genetic Algorithm II. The primary objectives were to minimize the solid–liquid interface deflection (<span><math><mrow><mo>|</mo><mi>δ</mi><mo>|</mo></mrow></math></span>) and maximize the crystal pulling velocity (V<span><math><msub><mrow></mrow><mrow><mi>pull</mi></mrow></msub></math></span>), while satisfying the v/G Voronkov criterion. Eight key process and geometric parameters were investigated. Accurate surrogate models (R<span><math><mrow><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup><mo>></mo><mn>0</mn><mo>.</mo><mn>90</mn></mrow></math></span>) were successfully developed, serving as efficient proxies for the CFD simulations. Model interpretation using SHapley Additive exPlanations and Response Surface Analysis revealed that while deflection is predominantly driven by the pulling velocity, the v/G ratio is governed by a more complex, multi-parameter interaction, highlighting the limitations of single-parameter tuning. The optimization successfully generated a 3D Pareto front of optimal solutions, offering a range of actionable process recipes from conservative (low-deflection) to aggressive (high-V<span><math><msub><mrow></mrow><mrow><mi>pull</mi></mrow></msub></math></span>) that significantly outperform the initial base cases. This work provides not only a set of optimized process parameters but also demonstrates a robust methodology for navigating the complex design space of the MCZ process. The findings offer a valuable data-driven tool for process engineers to make informed decisions that balance the competing demands of crystal quality and production efficiency.</div></div>","PeriodicalId":8201,"journal":{"name":"Applied Thermal Engineering","volume":"290 ","pages":"Article 130075"},"PeriodicalIF":6.9,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146186203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-06DOI: 10.1016/j.applthermaleng.2026.130163
Yanru Lu , Zhiyu Zhu , Jiayi Fan , Zhipeng Long
Ports are undergoing a rapid low-carbon transformation, and the rising penetration of renewable energy makes efficient scheduling of port microgrids increasingly critical. Existing static optimization methods rely on offline predictions and fail to adapt to renewable volatility, while single reinforcement learning algorithms suffer from local optima in high-dimensional decision spaces; moreover, existing studies rarely integrate static demand response planning with dynamic reinforcement learning correction, creating a disconnect between offline global optimization and online real-time adjustment. To address these limitations, this paper proposes a Two-Stage Collaborative Optimization Framework combining demand response-driven static planning with deep reinforcement learning-based dynamic correction: the static layer uses an improved Exponential-Trigonometric Optimization algorithm for scheduling benchmarks, while the dynamic layer introduces a Differential Evolution and Crossover Enhanced Reinforcement Learning algorithm to enhance convergence and exploration. Simulation results show 100% wind power utilization, 95% photovoltaic utilization, and operating cost reductions of 5.28% vs. Twin Delayed Deep Deterministic Policy Gradient, 50.05% vs. Deep Deterministic Policy Gradient, and 50.48% vs. Proximal Policy Optimization. These findings confirm the framework's effectiveness in improving renewable energy integration and economic efficiency, offering a practical pathway for port energy system green transformation.
{"title":"Hybrid deep reinforcement learning for economic dispatch in port microgrids","authors":"Yanru Lu , Zhiyu Zhu , Jiayi Fan , Zhipeng Long","doi":"10.1016/j.applthermaleng.2026.130163","DOIUrl":"10.1016/j.applthermaleng.2026.130163","url":null,"abstract":"<div><div>Ports are undergoing a rapid low-carbon transformation, and the rising penetration of renewable energy makes efficient scheduling of port microgrids increasingly critical. Existing static optimization methods rely on offline predictions and fail to adapt to renewable volatility, while single reinforcement learning algorithms suffer from local optima in high-dimensional decision spaces; moreover, existing studies rarely integrate static demand response planning with dynamic reinforcement learning correction, creating a disconnect between offline global optimization and online real-time adjustment. To address these limitations, this paper proposes a Two-Stage Collaborative Optimization Framework combining demand response-driven static planning with deep reinforcement learning-based dynamic correction: the static layer uses an improved Exponential-Trigonometric Optimization algorithm for scheduling benchmarks, while the dynamic layer introduces a Differential Evolution and Crossover Enhanced Reinforcement Learning algorithm to enhance convergence and exploration. Simulation results show 100% wind power utilization, 95% photovoltaic utilization, and operating cost reductions of 5.28% vs. Twin Delayed Deep Deterministic Policy Gradient, 50.05% vs. Deep Deterministic Policy Gradient, and 50.48% vs. Proximal Policy Optimization. These findings confirm the framework's effectiveness in improving renewable energy integration and economic efficiency, offering a practical pathway for port energy system green transformation.</div></div>","PeriodicalId":8201,"journal":{"name":"Applied Thermal Engineering","volume":"290 ","pages":"Article 130163"},"PeriodicalIF":6.9,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146186459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-06DOI: 10.1016/j.applthermaleng.2026.130161
Yaqian Dong , Chunguang Xu , Chunlei Xie , Sinan Li , Andrey Melnikov , Andrei Zhang , Ze Zhang
Two-phase closed thermosyphons are widely used as passive, energy-free cooling devices to stabilize permafrost embankments by exploiting ambient cold energy. However, their long-term cooling capacity and spatial effectiveness under sustained climate warming remain poorly quantified. This study evaluates the decadal-scale cooling performance of two-phase closed thermosyphon systems installed in a high-temperature permafrost embankment using 10 years (2015–2024) of continuous, multi-depth ground-temperature observations. Cooling effectiveness is assessed using air-temperature-derived freezing and thawing indices, which represent seasonal cold accumulation and heat load, respectively, with their ratio serving as an integrated indicator of cooling efficiency. Temporal trends in subsurface temperature are analyzed using the Mann–Kendall trend test. The results show a clear degradation in the performance of two-phase closed thermosyphons over time. The freezing index decreases by approximately 12%, while the thawing index increases by about 18%, leading to a statistically significant reduction of nearly 25% in the freezing–thawing index ratio. Cooling effects are confined to narrow zones adjacent to the condenser sections, whereas areas farther from the two-phase closed thermosyphons exhibit persistent warming. These findings indicate that warming-induced reductions in available cold energy increasingly constrain the cooling capacity of two-phase closed thermosyphons and cannot fully offset sustained thermal forcing. Overall, this study improves understanding of the long-term evolution of thermal performance and cold-energy regulation constraints in thermosyphon-stabilized embankments under climate change, providing insights for the sustainable thermal stabilization of infrastructure in permafrost regions.
{"title":"Evolution and resilience of thermal performance in two-phase closed thermosyphon embankments under climate warming in permafrost regions","authors":"Yaqian Dong , Chunguang Xu , Chunlei Xie , Sinan Li , Andrey Melnikov , Andrei Zhang , Ze Zhang","doi":"10.1016/j.applthermaleng.2026.130161","DOIUrl":"10.1016/j.applthermaleng.2026.130161","url":null,"abstract":"<div><div>Two-phase closed thermosyphons are widely used as passive, energy-free cooling devices to stabilize permafrost embankments by exploiting ambient cold energy. However, their long-term cooling capacity and spatial effectiveness under sustained climate warming remain poorly quantified. This study evaluates the decadal-scale cooling performance of two-phase closed thermosyphon systems installed in a high-temperature permafrost embankment using 10 years (2015–2024) of continuous, multi-depth ground-temperature observations. Cooling effectiveness is assessed using air-temperature-derived freezing and thawing indices, which represent seasonal cold accumulation and heat load, respectively, with their ratio serving as an integrated indicator of cooling efficiency. Temporal trends in subsurface temperature are analyzed using the Mann–Kendall trend test. The results show a clear degradation in the performance of two-phase closed thermosyphons over time. The freezing index decreases by approximately 12%, while the thawing index increases by about 18%, leading to a statistically significant reduction of nearly 25% in the freezing–thawing index ratio. Cooling effects are confined to narrow zones adjacent to the condenser sections, whereas areas farther from the two-phase closed thermosyphons exhibit persistent warming. These findings indicate that warming-induced reductions in available cold energy increasingly constrain the cooling capacity of two-phase closed thermosyphons and cannot fully offset sustained thermal forcing. Overall, this study improves understanding of the long-term evolution of thermal performance and cold-energy regulation constraints in thermosyphon-stabilized embankments under climate change, providing insights for the sustainable thermal stabilization of infrastructure in permafrost regions.</div></div>","PeriodicalId":8201,"journal":{"name":"Applied Thermal Engineering","volume":"290 ","pages":"Article 130161"},"PeriodicalIF":6.9,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146186436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-05DOI: 10.1016/j.applthermaleng.2026.130105
Danish Akbal Kureshi, Rakesh Nandan, Mihir Kumar Das
Nickel-Cobalt-Aluminum (NCA) lithium-ion (Li-ion) batteries provide high energy density and prolonged life, making them ideal for high-performance electric vehicles and aerospace applications. However, this chemistry leads to severe heat generation during fast charging and discharging without an effective thermal management system, leading to degradation and pose safety risks. Further, two-phase immersion cooling is recognized for its high heat transfer coefficients and low wall superheat. Based on these facts, the present study investigates the application of N-pentane as a dielectric coolant for two-phase immersion cooling of a 5S3P Li-ion battery module. The analysis focuses on two-phase heat transfer performance, surface temperature variation, and temperature uniformity of the battery in the module under different C-rates of charging and discharging. Results show that N-pentane immersion cooling effectively limits battery temperatures in the module below 40 °C with a peak reduction of 15.86 °C at 1C charging over natural convection cooling. At 2C discharging, it reduces the temperature non-homogeneity of 3.87 °C, nearly a tenfold improvement over natural convection cooling. Also, immersion cooling maintained acceptable battery temperature even under 2C fast charging, confirming its suitability for high-rate operation. During cyclic loading, the naturally cooled battery module exceeded the safety limit after the second cycle, while immersion cooling sustained repeated 1C–1C and 1C–2C cycles within safe limits. Further, high-speed bubble visualization shows an inverse trend between bubble departure diameter and nucleation frequency. Overall, the study shows that two-phase immersion cooling effectively manages the thermal challenges in NCA battery modules.
{"title":"Improved temperature uniformity and fast charging of high energy density Li-ion battery module via two-phase immersion cooling","authors":"Danish Akbal Kureshi, Rakesh Nandan, Mihir Kumar Das","doi":"10.1016/j.applthermaleng.2026.130105","DOIUrl":"10.1016/j.applthermaleng.2026.130105","url":null,"abstract":"<div><div>Nickel-Cobalt-Aluminum (NCA) lithium-ion (Li-ion) batteries provide high energy density and prolonged life, making them ideal for high-performance electric vehicles and aerospace applications. However, this chemistry leads to severe heat generation during fast charging and discharging without an effective thermal management system, leading to degradation and pose safety risks. Further, two-phase immersion cooling is recognized for its high heat transfer coefficients and low wall superheat. Based on these facts, the present study investigates the application of N-pentane as a dielectric coolant for two-phase immersion cooling of a 5S3P Li-ion battery module. The analysis focuses on two-phase heat transfer performance, surface temperature variation, and temperature uniformity of the battery in the module under different C-rates of charging and discharging. Results show that N-pentane immersion cooling effectively limits battery temperatures in the module below 40 °C with a peak reduction of 15.86 °C at 1C charging over natural convection cooling. At 2C discharging, it reduces the temperature non-homogeneity of 3.87 °C, nearly a tenfold improvement over natural convection cooling. Also, immersion cooling maintained acceptable battery temperature even under 2C fast charging, confirming its suitability for high-rate operation. During cyclic loading, the naturally cooled battery module exceeded the safety limit after the second cycle, while immersion cooling sustained repeated 1C–1C and 1C–2C cycles within safe limits. Further, high-speed bubble visualization shows an inverse trend between bubble departure diameter and nucleation frequency. Overall, the study shows that two-phase immersion cooling effectively manages the thermal challenges in NCA battery modules.</div></div>","PeriodicalId":8201,"journal":{"name":"Applied Thermal Engineering","volume":"290 ","pages":"Article 130105"},"PeriodicalIF":6.9,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146186431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-05DOI: 10.1016/j.applthermaleng.2026.130123
Yu Zhang , Shuyuan Liu , Yin Wang , Kaibo Kong , Wenqiang Li
Transpiration cooling method using endothermic hydrocarbon fuels offers high cooling efficiency for hypersonic vehicles but is faced with the challenge of coke deposition in porous media. A two-dimensional transpiration cooling model considering detailed pyrolysis mechanism and coking processes of n-decane is presented in this study. The influence of pyrolytic coke deposition on the porous media properties and transpiration cooling performance is investigated. Under the influence of inflow mainstream at 1600 K for 30 min, the specific coke deposition mass reaches 2.1 μg·cm−2 in the porous zone. The local porosity and permeability of the porous media decrease by 60% and 91.8%, respectively. Moreover, the flow distribution non-uniformity coefficient of the coolant increases by 28%. Increasing the sintered particle diameter from 50 μm to 150 μm results in a decrease by 80% in local coke deposition and a decrease by 16.6% in the flow non-uniformity coefficient. Moreover, heat transfer in the boundary layer exhibits opposite variation trends with time for the proximal and the distal ends of the outlet surface of the porous media due to coking-induced coolant migration. The mechanistic analysis shows that the effect of particle diameter on coking rate is initially dominated by the permeability-induced temperature difference but then dominated by the increasing difference in coolant residence time as coking process becomes significant. Specifically, coking rate is more sensitive to local temperature and flow residence time when very small sintered particles are used. For coking time of 30 min, the average cooling efficiency with the sintered diameter of 50 μm and 150 μm decreases by 5% and 2%, respectively. The research findings contribute to a deeper understanding of the impact of pyrolytic coke deposition on flow and heat transfer behaviors in the transpiration cooling process using hydrocarbon coolants.
{"title":"Numerical study on the effect of pyrolytic coke deposition of n-decane on flow and heat transfer behavior in porous media","authors":"Yu Zhang , Shuyuan Liu , Yin Wang , Kaibo Kong , Wenqiang Li","doi":"10.1016/j.applthermaleng.2026.130123","DOIUrl":"10.1016/j.applthermaleng.2026.130123","url":null,"abstract":"<div><div>Transpiration cooling method using endothermic hydrocarbon fuels offers high cooling efficiency for hypersonic vehicles but is faced with the challenge of coke deposition in porous media. A two-dimensional transpiration cooling model considering detailed pyrolysis mechanism and coking processes of n-decane is presented in this study. The influence of pyrolytic coke deposition on the porous media properties and transpiration cooling performance is investigated. Under the influence of inflow mainstream at 1600 K for 30 min, the specific coke deposition mass reaches 2.1 μg·cm<sup>−2</sup> in the porous zone. The local porosity and permeability of the porous media decrease by 60% and 91.8%, respectively. Moreover, the flow distribution non-uniformity coefficient of the coolant increases by 28%. Increasing the sintered particle diameter from 50 μm to 150 μm results in a decrease by 80% in local coke deposition and a decrease by 16.6% in the flow non-uniformity coefficient. Moreover, heat transfer in the boundary layer exhibits opposite variation trends with time for the proximal and the distal ends of the outlet surface of the porous media due to coking-induced coolant migration. The mechanistic analysis shows that the effect of particle diameter on coking rate is initially dominated by the permeability-induced temperature difference but then dominated by the increasing difference in coolant residence time as coking process becomes significant. Specifically, coking rate is more sensitive to local temperature and flow residence time when very small sintered particles are used. For coking time of 30 min, the average cooling efficiency with the sintered diameter of 50 μm and 150 μm decreases by 5% and 2%, respectively. The research findings contribute to a deeper understanding of the impact of pyrolytic coke deposition on flow and heat transfer behaviors in the transpiration cooling process using hydrocarbon coolants.</div></div>","PeriodicalId":8201,"journal":{"name":"Applied Thermal Engineering","volume":"290 ","pages":"Article 130123"},"PeriodicalIF":6.9,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146122575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-05DOI: 10.1016/j.applthermaleng.2026.130109
Linrui Jia, Lin Lu
Current Applications Focused on Radiative Sky Cooling (RSC) Are Limited to Specific Devices and Have a Narrow Adaptability Range Due to their Low Energy Density. To Better Address Building-Scale Cooling Demands, this Study Introduces a Novel Vertical Fin-Intensified Radiative Sky Cool Radiator (VRSCR), Using the Numerical Method. This Design Synergistically Integrates RSC with Convective Cooling to Overcome the Limitations Associated with Low Radiative Cooling Power Density. Additionally, this Study Conducts a Comprehensive Comparison of Five Cooling Technologies, Providing Insights and Recommendations for their Application Potential. The Technologies Examined Include Passive Radiative Cooling Buildings, Horizontal Radiative Sky Cool Radiators (HRSCR), VRSCR, Stand-Alone Ground-Source Heat Pump Systems (GSHP), and Conventional Air-Source Heat Pump Systems (ASHP). The Findings Reveal that the Difference between the Inlet Water Temperature and the Ambient Air Temperature Significantly Influences the Adaptability of both VRSCR and HRSCR. When the RSCR Cools the Circulating Water to Ambient Levels, the Back-Insulated HRSCR Is Recommended. Conversely, when RSCR Works over the Ambient Air Temperature, the VRSCR without a Thermal Insulation Layer Is Favoured. The Corresponding Cooling Powers Are 106.6 W/m2 for the VRSCR and 91.1 W/m2 for the HRSCR. To Quantitatively Assess the Cooling Efficiency of each Technology, the Regional Average Coefficients of Performance (COPs) Are Calculated. National Averages Indicate COPs of 5.9 for VRSCR (Winter), 5.2 for HRSCR (Winter), 4.6 for GSHP, 4.3 for VRSCR (Summer), 4.0 for HRSCR (Summer), and 3.4 for ASHP. This Study Highlights the Significant Potential of Renewable and Sustainable Cooling Solutions in Promoting Energy-Efficient Buildings in China
{"title":"A vertical fin-intensified radiative sky cool method for heat rejection: Insights from the comparative study of cooling technologies","authors":"Linrui Jia, Lin Lu","doi":"10.1016/j.applthermaleng.2026.130109","DOIUrl":"10.1016/j.applthermaleng.2026.130109","url":null,"abstract":"<div><div>Current Applications Focused on Radiative Sky Cooling (RSC) Are Limited to Specific Devices and Have a Narrow Adaptability Range Due to their Low Energy Density. To Better Address Building-Scale Cooling Demands, this Study Introduces a Novel Vertical Fin-Intensified Radiative Sky Cool Radiator (VRSCR), Using the Numerical Method. This Design Synergistically Integrates RSC with Convective Cooling to Overcome the Limitations Associated with Low Radiative Cooling Power Density. Additionally, this Study Conducts a Comprehensive Comparison of Five Cooling Technologies, Providing Insights and Recommendations for their Application Potential. The Technologies Examined Include Passive Radiative Cooling Buildings, Horizontal Radiative Sky Cool Radiators (HRSCR), VRSCR, Stand-Alone Ground-Source Heat Pump Systems (GSHP), and Conventional Air-Source Heat Pump Systems (ASHP). The Findings Reveal that the Difference between the Inlet Water Temperature and the Ambient Air Temperature Significantly Influences the Adaptability of both VRSCR and HRSCR. When the RSCR Cools the Circulating Water to Ambient Levels, the Back-Insulated HRSCR Is Recommended. Conversely, when RSCR Works over the Ambient Air Temperature, the VRSCR without a Thermal Insulation Layer Is Favoured. The Corresponding Cooling Powers Are 106.6 W/m<sup>2</sup> for the VRSCR and 91.1 W/m<sup>2</sup> for the HRSCR. To Quantitatively Assess the Cooling Efficiency of each Technology, the Regional Average Coefficients of Performance (COPs) Are Calculated. National Averages Indicate COPs of 5.9 for VRSCR (Winter), 5.2 for HRSCR (Winter), 4.6 for GSHP, 4.3 for VRSCR (Summer), 4.0 for HRSCR (Summer), and 3.4 for ASHP. This Study Highlights the Significant Potential of Renewable and Sustainable Cooling Solutions in Promoting Energy-Efficient Buildings in China</div></div>","PeriodicalId":8201,"journal":{"name":"Applied Thermal Engineering","volume":"290 ","pages":"Article 130109"},"PeriodicalIF":6.9,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146186391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}