Special Issues

Smart Thermal Management: Emerging Energy Technologies for Built and Industrial Systems

Submission Deadline: 31 August 2026 View: 416 Submit to Special Issue

Guest Editors

Prof. Dr. Jianheng CHEN

Email: jianheng.chen@upc.edu.cn

Affiliation: School of Pipeline and Civil Engineering, China University of Petroleum (East China), No. 66, West Changjiang Road, Huangdao District, Qingdao City, Shandong Province, 266580, China

Homepage: https://orcid.org/0000-0002-4770-4879

Research Interests: radiative cooling, renewable energy, energy saving, carbon neutrality, thermal management, building energy

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Prof. Dr. Jia LIU

Email: jiajia.liu@gzhu.edu.cn

Affiliation: School of Civil Engineering and Transportation, Guangzhou University, Guangzhou, China

Homepage:

Research Interests: net-zero energy buildings, solar photovoltaic technology, renewable energy, system optimization

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Prof. Dr. Yelin ZHANG

Email: yelinzhang@upc.edu.cn

Affiliation: School of Pipeline and Civil Engineering, China University of Petroleum (East China), No. 66, West Changjiang Road, Huangdao District, Qingdao City, Shandong Province, 266580, China

Homepage:

Research Interests: radiative sky cooling, net zero energy building, photovoltaic/thermal, building simulation, optimum design, system control

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Prof. Dr. Kai JIAO

Email: kaijiao@hit.edu.cn

Affiliation: School of Architecture and Design, Harbin Institute of Technology

Homepage:

Research Interests: thermal energy storage, building envelope, thermal management

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Summary

Thermal management is a critical frontier in the global pursuit of energy efficiency and sustainability. The built environment and industrial sectors are among the largest consumers of energy, a significant portion of which is dedicated to heating and cooling. Advancements in smart controls, novel materials, and integrated energy systems present unprecedented opportunities to revolutionize how we manage thermal energy, reducing both environmental impact and operational costs.


This Special Issue aims to showcase high-quality research and innovative developments in smart thermal management technologies. We seek contributions that explore the integration of digitalization, AI, and advanced energy technologies to create more responsive, efficient, and sustainable thermal systems for buildings and industrial applications. The scope bridges the gap between theoretical research and practical implementation.


Suggested themes include, but are not limited to:
· AI-driven and model-predictive control for HVAC&R systems.
· Integration of renewable thermal and electrical energy sources.
· Advanced heat recovery and waste heat utilization technologies.
· Smart grid-interactive buildings and thermal energy storage.
· Next-generation heat pumps and refrigeration cycles.
· IoT and sensor networks for real-time thermal optimization.
· Case studies on digital twins and energy management platforms.
· New technologies for oil and gas fields for energy savings.


We invite you to submit your original research and review articles to this important collection.


Keywords

thermal management, energy efficiency, smart buildings, industrial processes, renewable energy, system optimization, machine learning

Published Papers


  • Open Access

    ARTICLE

    Dynamic Thermal Comfort Investigation and Adaptive Control of Solar-Assisted Heating Systems in Expressway Service Buildings

    Man Fan, Shize Li, Yingshan Liu, Zhengping Shi, Xiangfei Kong, Wandong Zheng, Han Li, Jianjuan Yuan
    Energy Engineering, DOI:10.32604/ee.2026.078647
    (This article belongs to the Special Issue: Smart Thermal Management: Emerging Energy Technologies for Built and Industrial Systems)
    Abstract Highway service buildings, as critical transportation hubs, required efficient heating solutions to accommodate fluctuating occupant densities. Conventional thermal control systems struggled to accommodate dynamic occupant flux, often resulting in mismatches between thermal demand and supply. While existing research predominantly focused on static temperature regulation, this study bridged a critical gap by investigating the coupling effects of dynamic thermal comfort and energy efficiency. Firstly, field measurements and occupant surveys reveald substantial variations in thermal environment parameters across different functional zones within service buildings. Analysis of Thermal Sensation Vote (TSV) and Thermal Comfort Vote (TCV) distributions, augmented… More >

    Graphic Abstract

    Dynamic Thermal Comfort Investigation and Adaptive Control of Solar-Assisted Heating Systems in Expressway Service Buildings

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