Case Studies in Thermal Engineering最新文献

{"title":"Corrigendum to “Numerical analysis of the heat extraction performance of mine backfill heat exchanger based on phase change heat storage (PCHS-BFHE)” [Case Stud. Therm. Eng. 66 (2025) 105721]","authors":"Pai Ning, Feng Ju, Juan Xu, Meng Xiao, Tengfei Wang, Dong Wang, Lu Si","doi":"10.1016/j.csite.2025.106040","DOIUrl":"https://doi.org/10.1016/j.csite.2025.106040","url":null,"abstract":"","PeriodicalId":9658,"journal":{"name":"Case Studies in Thermal Engineering","volume":"36 1","pages":""},"PeriodicalIF":6.8,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724025","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}

{"title":"Analysis of carbon emission associated with composite air source heat pumps in buildings","authors":"Lin Zhe ,&nbsp;Li Xueli ,&nbsp;Lin Musong ,&nbsp;Zhang Tianhu ,&nbsp;Guo Qiang ,&nbsp;Rao yandi ,&nbsp;Liang Lin","doi":"10.1016/j.csite.2025.106033","DOIUrl":"10.1016/j.csite.2025.106033","url":null,"abstract":"<div><div>The construction industry accounts for a significant portion of global energy consumption and carbon emissions. Air source heat pump (ASHP), as an environmentally friendly technology, have been widely employed in energy-efficient buildings to reduce carbon emissions. To ensure stability, ASHP is often used in conjunction with auxiliary heat sources to form composite cooling/heating systems. To evaluate the carbon emissions of ASHP with auxiliary heat source, a life cycle carbon emission model was developed in this study. The results show that the carbon emissions during building operation stage accounted for 70.5 % of total carbon emissions. The carbon emissions of single ASHP, ASHP-solar, ASHP-gas boiler, ASHP-coal boiler, and ASHP-electric boiler with different control strategies are compared. During the operation stage, the ASHP-gas boiler system has the lowest carbon emission. Taking into consideration renewable energy utilization, the ASHP-solar is preferred for the cooling/heating source of the building. Additionally, this study highlights that building location plays a crucial role in determining its associated carbon emissions. Several cities in China were studied, and the maximum levels carbon emissions are observed in Harbin while minimum levels are found in Chongqing.</div></div>","PeriodicalId":9658,"journal":{"name":"Case Studies in Thermal Engineering","volume":"69 ","pages":"Article 106033"},"PeriodicalIF":6.4,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143680706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Relationship between chevron angle and heat transfer performance of plate heat exchangers","authors":"Xiaowei Zhu","doi":"10.1016/j.csite.2025.106032","DOIUrl":"10.1016/j.csite.2025.106032","url":null,"abstract":"<div><div>The chevron angle (<em>β</em>) of a plate heat exchanger significantly affects its heat transfer performance. This study aims to quantify the relation between heat transfer performance and chevron angle. Large eddy simulations of fully developed flow and heat transfer within the heat exchanger channels were conducted to determine heat transfer coefficients, covering a wide range of Reynolds numbers (10 ≤Re ≤ 6000) and chevron angles (18°≤<em>β</em> ≤ 72°). Correlations between the Nusselt number, pressure drop, Reynolds number, and friction factor were established, providing two approaches to predict the heat transfer coefficient across laminar and turbulent flow regimes. The results show that at low Reynolds numbers, increasing β markedly enhances heat transfer, while at high Reynolds numbers, the enhancement is more moderate. Additionally, high-resolution maps of the local heat transfer coefficient on the corrugated surface offer deeper insights into the heat transfer characteristics within the exchanger. The study also examines the validity of the heat-mass transfer analogy, revealing significant discrepancies between heat and mass transfer coefficients, suggesting they should not be used interchangeably.</div></div>","PeriodicalId":9658,"journal":{"name":"Case Studies in Thermal Engineering","volume":"69 ","pages":"Article 106032"},"PeriodicalIF":6.4,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143680705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metaheuristic energy efficiency optimization of solar-powered absorption cooling systems under operating climactic conditions integrated with explainable AI","authors":"Naif Khalaf AlShammari","doi":"10.1016/j.csite.2025.106016","DOIUrl":"10.1016/j.csite.2025.106016","url":null,"abstract":"<div><div>The increasing energy demands, and environmental concerns necessitate the development of efficient and sustainable cooling technologies, particularly in arid regions such as Riyadh, Saudi Arabia. This study aims to optimize the energy efficiency, specifically the Coefficient of Performance (COP), of solar-powered absorption cooling systems using advanced Explainable Artificial Intelligence (XAI) and Machine Learning (ML) algorithms. For this purpose, predictive models employing Artificial Neural Networks (ANN) were developed. Subsequently, nature-inspired optimization techniques, including Chicken Swarm Optimization (CSO), Moth Flame Optimization Algorithm (MFOA), and Whale Optimization Algorithm (WOA) were explored to improve the prediction skills. The study utilized three distinct feature combinations to capture various operational and environmental parameters, and the models were evaluated using several statistical metrics. The results demonstrated significant improvements in predictive accuracy with the optimized models. Combination 1 (C1) achieved near-perfect goodness-of-fit values with marginal gains from optimization, while Combination 2 (C2) also showed high values with slight reductions in the optimized models. Similarly, Combination 3 (C3) initially had lower performance. Still, optimization techniques notably improved the goodness-of-fit values, with ANN-CSO showing an 11.46 % increase, ANN-MFOA a 10.36 % increase, and ANN-WOA a 10.54 % increase. Further feature importance using SHAP analysis indicated that the most influential parameters were heat absorption (Qa), heat exchange rate (Qe), cooling capacity (Qc), and heat dissipation (Qd), with solar irradiance (Ir) having a minor impact. These findings indicate that the optimization techniques are particularly effective for feature sets that initially underperform. The study recommends integrating these advanced optimization methods into the design and operation of solar-powered absorption cooling systems to enhance energy efficiency and reduce greenhouse gas emissions. Future research should explore the scalability and adaptability of these optimized models across different climatic regions, incorporate real-time data, and investigate the economic and long-term stability aspects under various operational scenarios to ensure comprehensive practical implementation and sustainability benefits.</div></div>","PeriodicalId":9658,"journal":{"name":"Case Studies in Thermal Engineering","volume":"69 ","pages":"Article 106016"},"PeriodicalIF":6.4,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143704203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Innovative pipe profile configurations for fast charging of phase change material in compact thermal storage systems for building heating applications","authors":"Mohamed Ahmed Said ,&nbsp;Hakim S. Sultan Aljibori ,&nbsp;Azher M. Abed ,&nbsp;Hussein Togun ,&nbsp;Hayder Ibrahim Mohammed ,&nbsp;Jasim M. Mahdi ,&nbsp;Alireza Rahbari ,&nbsp;Abdellatif M. Sadeq ,&nbsp;Pouyan Talebizadehsardari","doi":"10.1016/j.csite.2025.106036","DOIUrl":"10.1016/j.csite.2025.106036","url":null,"abstract":"<div><div>The depletion of fossil fuel reserves and growing energy demand have increased the need for renewable energy sources with suitable heat storage systems. Latent heat thermal energy storage (LHTES) using phase change materials (PCMs) provides high energy density and efficiency. However, heat transfer to the PCM core remains a challenge. This study investigates step, sinusoidal, and zigzag channel designs within a horizontal triple-tube LHTES system to enhance PCM charging rates. The step function geometry offered superior performance, increasing heat storage rate by 145 % and reducing melting time by 51 % versus straight channels. Detailed parametric analysis revealed that reducing step width from 15 mm to 5 mm improved heat storage rate by 18 % and shortened melting time by 14 %. Lengthening steps from 5 mm to 15 mm enhanced heat storage rate by 88 % and accelerated melting by 48 %. The novel step design improved temperature distrbution, drove recirculation enhancing convection, and increased surface area. These insights can guide engineering of efficient LHTES systems, advancing sustainable energy storage solutions.</div></div>","PeriodicalId":9658,"journal":{"name":"Case Studies in Thermal Engineering","volume":"69 ","pages":"Article 106036"},"PeriodicalIF":6.4,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143680704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of experimental, numerical, and machine learning techniques to improve drying performance and decrease energy consumption infrared continuous dryer","authors":"Hany S. El-Mesery ,&nbsp;Mohamed Qenawy ,&nbsp;Ahmed H. ElMesiry ,&nbsp;Mona Ali ,&nbsp;Oluwasola Abayomi Adelusi ,&nbsp;Zicheng Hu ,&nbsp;Ali Salem","doi":"10.1016/j.csite.2025.106025","DOIUrl":"10.1016/j.csite.2025.106025","url":null,"abstract":"<div><div>Machine learning algorithms offer innovative and reliable solutions for addressing food spoilage and optimizing the drying processes. Stable food supply chains, lower post-harvest agricultural losses, and less perishable fruit and vegetable deterioration can be achieved using efficient drying techniques. This study explored and evaluated the energy dynamics of an infrared continuous drying system for garlic slices. Machine learning models (ML), including self-organizing maps (SOM) and principal component analysis (PCA), were employed to model and predict the relationships between process input parameters, such as infrared power, airflow rate, and air temperature, and response parameters, including thermal efficiency, effective moisture diffusivity, total energy consumption, drying duration, and specific energy consumption. The results showed that higher intensities of infrared radiation and air temperature significantly shortened the drying duration, whereas higher airflow rates extended the drying duration. Moreover, elevated air temperatures, increased infrared intensity, and reduced airflow rates considerably improved energy efficiency metrics. This research offers valuable insights into optimizing garlic slice drying while promoting energy conservation. The ANN model proved to be a robust tool for predicting and optimizing drying parameters, including drying duration, energy consumption, and thermal efficiency. Notably, SOM visualization demonstrated that elevated air temperatures and infrared radiation intensity were associated with reduced energy use, specific energy consumption, and dehydration.</div></div>","PeriodicalId":9658,"journal":{"name":"Case Studies in Thermal Engineering","volume":"69 ","pages":"Article 106025"},"PeriodicalIF":6.4,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143680707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Parametric study and thermal sensitivity analysis of a triple effect absorption refrigeration system","authors":"Kenan Saka ,&nbsp;Mehmet Fatih Orhan","doi":"10.1016/j.csite.2025.106030","DOIUrl":"10.1016/j.csite.2025.106030","url":null,"abstract":"<div><div>Absorption refrigeration systems represent an efficient means of cooling utilizing waste heat, with triple-effect absorption refrigeration systems outperforming their double and single-effect counterparts in terms of efficiency. This study conducts energy and exergy analyses on a triple-effect absorption refrigeration system, focusing on internal heat balance and thermal sensitivity to maximize efficiency. The analysis pinpointed the most sensitive thermal sensitivity areas within the system, highlighting the high-pressure condenser (HPC) outlet and medium-pressure condenser (MPC) outlet as critical points. Notably, increasing the temperatures of HPC and MPC leads to enhanced COP and ECOP, with a mere 5 K rise in HPC exit temperature resulting in a remarkable 57 % boost in system performance. Similarly, elevating the MPC operating temperature by 5 K yields a significant 34 % improvement in COP value.</div></div>","PeriodicalId":9658,"journal":{"name":"Case Studies in Thermal Engineering","volume":"69 ","pages":"Article 106030"},"PeriodicalIF":6.4,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143680624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimized control of parallel heat pump units based on the satin bower bird algorithm in a distributed architecture","authors":"Sijia Zhang ,&nbsp;Jiangtao Xi ,&nbsp;Anjun Zhao ,&nbsp;Jun Liu ,&nbsp;Yuping Zhang","doi":"10.1016/j.csite.2025.106022","DOIUrl":"10.1016/j.csite.2025.106022","url":null,"abstract":"<div><div>Compared to traditional shallow borehole heat exchanger (BHE), medium-deep borehole heat exchanger (MDBHE) exhibits significant advantages in heat extraction capability. Utilizing MDBHE as the heat source for heating systems can effectively achieve primary energy savings. However, in building heating applications, MDBHE is generally combined with heat pump units, which typically operate in parallel. The optimal load distribution of parallel heat pump units is a critical issue in MDBHE heating systems. Reasonable control to meet load demands is of great importance for the energy-efficient operation of the system. To address these issues, this study first establishes and compares optimization models of centralized and distributed systems targeting parallel heat pump units. The Distributed Satin Bowerbird Optimization (D-SBO) algorithm is proposed to address the load optimization distribution problem in parallel heat pump units within MDBHE. Experimental results confirm the robustness of the D-SBO algorithm, achieving up to a 23.1% improvement in COP. In case 1, the standard deviations of D-SBO range from 0.05 to 0.65 under a load demand of 40% to 90%. In case 2, the standard deviations range from 0.09 to 2.67 with a load demand of 70% to 90%. While D-SBO yields results comparable to DCSA, it demonstrates superior stability. Additionally, D-SBO provides significant energy savings, ranging from 3.90 kW to 140.38 kW in case 1 compared to GA, and from 1.00 kW to 165.00 kW in case 2 compared to GA and PSO.</div></div>","PeriodicalId":9658,"journal":{"name":"Case Studies in Thermal Engineering","volume":"69 ","pages":"Article 106022"},"PeriodicalIF":6.4,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143654623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental study on the thermal performance of hybrid nanofluid in a compact plate heat exchanger under the influence of a magnetic field","authors":"Mutlu Tekir","doi":"10.1016/j.csite.2025.106031","DOIUrl":"10.1016/j.csite.2025.106031","url":null,"abstract":"<div><div>This study presents an experimental investigation into the thermal and hydrodynamic performance of a compact plate heat exchanger utilizing Fe₃O₄/water and Fe₃O₄–Cu/water hybrid nanofluids under the influence of an externally applied magnetic field (0.46 T). The effects of nanoparticle concentration, hybrid nanoparticle composition, and flow conditions on heat exchanger effectiveness and convective heat transfer were analyzed under laminar flow conditions (172 ≤ Re ≤ 400). The results indicate that while nanofluids enhance overall heat exchanger effectiveness compared to water, the effectiveness increased by up to 20 % for hybrid nanofluids in the absence of a magnetic field. However, the application of a magnetic field reduced effectiveness by up to 15 %. Similarly, the Nusselt number decreased by up to 12 % and the convective heat transfer coefficient declined by up to 10 % with increasing nanoparticle concentration, with higher concentrations (1.0 %) causing greater reductions due to elevated viscosity and suppressed flow mixing. The application of a magnetic field further reduces convective heat transfer performance by approximately 6–8 % for hybrid nanofluids, likely due to nanoparticle retention and local velocity reduction caused by the Lorentz force. These findings provide insights into optimizing nanofluid-based heat exchanger systems, emphasizing the need for careful selection of nanoparticle composition and magnetic field parameters to balance heat transfer performance and flow efficiency.</div></div>","PeriodicalId":9658,"journal":{"name":"Case Studies in Thermal Engineering","volume":"69 ","pages":"Article 106031"},"PeriodicalIF":6.4,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143666388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermal error modeling of motorized spindle considering temperature hysteresis: A GRU-Transformer prediction model","authors":"Weimin Kang ,&nbsp;Chong Chen ,&nbsp;Yezhen Peng ,&nbsp;Wenhong Zhou ,&nbsp;Jianzhong Fu","doi":"10.1016/j.csite.2025.106029","DOIUrl":"10.1016/j.csite.2025.106029","url":null,"abstract":"<div><div>The “zero-transmission” structure of the motorized spindle significantly improves precision and efficiency, but the heat generated by the internal motor and bearings also leads to more thermal errors. To eliminate the impact of these errors on machining, it is necessary to establish a thermal error model. However, the hysteresis of temperature can affect the accuracy of the thermal error model. In this study, the thermal characteristics of the motorized spindle were first analyzed, and a thermal characteristics experimental platform for the spindle was built. Next, a Support Vector Machine based spindle state classification was established to classify whether the spindle is rotating. The Temporal Convolutional Network model was then used to predict the spindle temperature. Subsequently, the Gated Recurrent Unit and Transformer models were combined to construct a thermal error prediction model. While ensuring the extraction of features related to temperature and thermal error, the periodicity of the time series was preserved. This improved the prediction accuracy of temperature and thermal errors under different operating conditions, ensuring the robustness of the model. Finally, experimental validation was conducted on the SVM state classification, TCN temperature prediction model, and GRU-Transformer thermal error model. The results showed that the accuracy of the SVM state classifier exceeded 93 %, the <span><math><mrow><msup><mi>R</mi><mn>2</mn></msup></mrow></math></span> value of the SVM-TCN temperature prediction model was greater than 0.94, and the <span><math><mrow><msup><mi>R</mi><mn>2</mn></msup></mrow></math></span> value of the GRU-Transformer thermal error model was greater than 0.92. Furthermore, the overall performance of these models was superior to that of existing models.</div></div>","PeriodicalId":9658,"journal":{"name":"Case Studies in Thermal Engineering","volume":"69 ","pages":"Article 106029"},"PeriodicalIF":6.4,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143704202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}