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Advances in smart textiles for personal thermal management

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

13 Downloads (CityUHK Scholars)

Abstract

Personal thermal management (PTM) is an important topic that holds great potential for enhancing human thermal comfort and optimizing energy efficiency, that typically relies on clothing and textiles. However, traditional textiles fail to adjust human thermal loss at low and high temperatures, no longer satisfy the soaring needs of dynamic heat dissipation due to diversified environmental operation. Recent research has seen significant advancements in smart thermal radiative textiles, which are driven by the booming progress in material-oriented and energy-oriented science and technology. These textiles endow the PTM systems with the efficient modulation of human body temperature and wearable comfortability, demonstrating considerable promise due to their rapid conversion efficiency of radiant heat. Here, we primarily introduce the fundamental concepts of heat transfer as well as the radiant heat regulating principles based on smart textiles. Subsequently, different regulation functionalities of smart textiles, consisting of radiative cooling, radiative heating, and smart textile systems for radiative heating and cooling are demonstrated in detail. Finally, the current obstacles and prospective solutions for smart radiation-controlled textiles are proposed to enhance future thermal management technologies, giving prominence to functional innovations and commercial incubation. © The Author(s) 2025.
Original languageEnglish
Article number6
Number of pages29
JournalMed-X
Volume3
Online published3 Mar 2025
DOIs
Publication statusPublished - 2025

Funding

This work was supported by the Innovation and Technology Fund of Innovation and Technology Commission (Grant No. ITS/119/22), Shenzhen Science and Technology Innovation Commission (Grant No. SGDX20220530111401011), Research Grants Council of the Hong Kong Special Administrative Region (Grant nos. RFS2324-1S03, 11211523, 11213721, and 11215722), National Natural Science Foundation of China (Grant no. 62122002), The City University of Hong Kong (Grant nos. 9667221, 9667246, 9680322, and 9667199), in part of the InnoHK Project on Project 2.2—AI-based 3D ultrasound imaging algorithm at Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Research Keywords

  • Personal thermal management
  • Radiative heating and cooling
  • Thermoregulatory system
  • Wearable smart textiles

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

RGC Funding Information

  • RGC-funded

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