Advanced Heat and Mass Transfer in Building and Thermal Energy Systems: Efficiency, Flexibility, and Intelligent Management

Submission Deadline: 15 January 2027 View: 76 Submit to Special Issue

Guest Editor(s)

Prof. Yabin Guo

Email: guoyb_h@zzu.edu.cn

Affiliation: School of Civil Engineering, Zhengzhou University, Zhengzhou, China

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Research Interests: AI-based fault detection and diagnosis of HVAC systems, control optimization of heat pump and air-conditioning systems, data mining for building thermal systems, energy prediction and energy-saving operation optimization, thermal management and CO2 heat pump systems

Dr. Chao Shen

Email: shenchao@zzu.edu.cn

Affiliation: Civil Engineering School, Zhengzhou University, Zhengzhou, China

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Research Interests: enhanced heat transfer and heat pipe technologies, waste heat recovery, electronic thermal management, building energy efficiency, solar thermal utilization, novel refrigeration technologies, building environmental control and indoor environmental quality

Dr. Weilin Li

Email: weilinli@zzu.edu.cn

Affiliation: School of Civil Engineering, Zhengzhou University, Zhengzhou, China

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Research Interests: building renewable energy utilization, building demand response, flexible building energy systems, thermal energy storage, heat pump systems, and low-carbon building energy optimization

Summary

Building and thermal energy systems are undergoing a rapid transition toward higher efficiency, lower carbon emissions, and smarter operation. Along with the development of advanced heat and mass transfer technologies, renewable energy integration, thermal storage, demand response, and data-driven control methods, new opportunities have emerged for improving the design, operation, and flexibility of thermal systems in buildings and related applications. Meanwhile, the increasing availability of operational data and intelligent algorithms has enabled more effective fault diagnosis, performance optimization, predictive control, and energy management for complex thermal systems. This Special Issue aims to provide a forum for recent advances in heat and mass transfer, thermal system optimization, energy flexibility, and intelligent management for buildings and low-carbon applications.

Topics of interest include, but are not limited to, enhanced heat transfer and heat recovery, electronic thermal management, heat pump and HVAC systems, renewable energy utilization, building demand response, thermal energy storage, data-driven modeling, fault detection and diagnosis, digital twins, and AI-enabled control and optimization. The Special Issue welcomes theoretical, numerical, experimental, and engineering application studies that contribute to the development of efficient, flexible, and intelligent thermal systems.

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