Improving thermal comfort using personalized local conditioning: A large-scale retrospective questionnaire survey conducted during a heatwave in China

IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Sustainable Cities and Society Pub Date : 2024-11-16 DOI:10.1016/j.scs.2024.105972
Zhen Yang , Weirong Zhang , Wei Gao , Rongying Li
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Abstract

The increasingly frequent heatwaves caused by global warming indicate that more energy consumption is required to maintain individuals' thermal comfort and health. Understanding how to utilize local conditioning for optimizing conditioning devices and creating a comfortable environment is crucial. Due to variations in individuals' adaptability to their surroundings, people from different climatic zones exhibit different needs for environmental conditioning. Current research findings in built environments have not adequately explained how individuals in various climatic zones use local conditioning to meet these diverse thermal needs. Therefore, it is highly important to conduct quantitative research on individuals' willingness to use local conditioning and their preferences across different climatic zones. To address this issue, a retrospective survey of 2,247 participants across five climate zones in China was conducted over a two-month period. The results revealed that many participants chose to use local conditioning to further improve thermal comfort, even if they initially felt comfortable. Participants from the severe cold and cold zones preferred water-cooled fans and floor fans, whereas floor fans were the preferred choice in other zones. Price and convenience were the main factors considered when selecting local conditioning devices (average composite score > 7). Differences in the methods, duration, parameter settings, placement of local conditioning, and regulated body parts varied among participants from the five climate zones. These results aid in improving our understanding of thermal comfort and health in high-temperature environments during summer.

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利用个性化局部调节改善热舒适度:中国热浪期间进行的大规模回顾性问卷调查
全球变暖导致的热浪日益频繁,这表明需要消耗更多的能源来维持个人的热舒适度和健康。了解如何利用本地调节来优化调节设备和创造舒适环境至关重要。由于个人对周围环境的适应能力不同,不同气候区的人对环境调节的需求也不同。目前在建筑环境方面的研究成果尚未充分解释不同气候区的人如何利用局部调节来满足这些不同的热需求。因此,对不同气候区的人使用局部调节的意愿及其偏好进行定量研究是非常重要的。针对这一问题,我们在两个月内对中国五个气候区的 2 247 名参与者进行了回顾性调查。结果显示,许多参与者即使在最初感觉舒适的情况下,也会选择使用局部调节来进一步改善热舒适度。严寒和寒冷地区的受试者首选水冷风扇和落地扇,而其他地区的受试者则首选落地扇。价格和便利性是选择当地空调设备时考虑的主要因素(平均综合得分 7 分)。来自五个气候区的参与者在局部调节的方法、持续时间、参数设置、位置和调节的身体部位方面存在差异。这些结果有助于提高我们对夏季高温环境下热舒适度和健康的认识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Sustainable Cities and Society
Sustainable Cities and Society Social Sciences-Geography, Planning and Development
CiteScore
22.00
自引率
13.70%
发文量
810
审稿时长
27 days
期刊介绍: Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;
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