Real-time multi-factor thermal comfort assessment

发表日期 April 15, 2023 (DOI: https://doi.org/10.54985/peeref.2304p8708798)

未经同行评议

3^rd Place Peeref Competition

作者

Georgia Tzitziou¹ , Christos Tzouvaras² , Asimina Dimara¹ , Alexios Papaioannou¹ , Stelios Krinidis¹ , Konstantinos Arvanitis² , Christos-Nikolaos Anagnostopoulos³ , Dimosthenis Ioannidis¹ , Dimitrios Tzovaras¹

1. Centre for Research & Technology, Hellas - CERTH, Thessaloniki, Greece
2. Watt + Volt, Thessaloniki, Greece
3. University of the Aegean, Mytilene, Greece

会议/活动

IFIP International Conference on Artificial Inteligence Applications & Innovations, June 2023 (Leon, Spain)

海报摘要

The predicted mean vote (PMV) and predicted percentage of dissatisfied (PPD) are commonly used metrics for thermal comfort estimation, nevertheless estimating clothing insulation and the metabolic rate remains a challenge. The main objective is to mitigate the error in estimating personal factors by taking into account as many factors as possible, such as indoor and outdoor conditions. To address this issue, an algorithm that combines existing approaches to enhance precision is proposed. Experimental results demonstrate that the suggested method is more accurate than other approaches. The proposed approach has significant implications for designing and evaluating heating, ventilation, and air conditioning systems, buildings, and indoor spaces.

关键词

Thermal comfort, Indoor environmental conditions, Personal factors, PMV, PPD

研究领域

Environmental Engineering, Energy Engineering

参考文献

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5. ANSI and ASHRAE, Thermal Environmental Conditions for Human Occupancy. Atlanta, 2020.
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8. Harputlugil, Timuçin, and Pieter de Wilde. "The interaction between humans and buildings for energy efficiency: A critical review." Energy Research & Social Science 71 (2021): 101828.
9. Dimara, Asimina, et al. "NRG4-U: a novel home energy management system for a unique loadprofile." Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 44.1 (2022): 353-378.
10. Dimara, Asimina, et al. "Optimal comfort conditions in residential houses." 2020 5th International Conference on Smart and Sustainable Technologies (SpliTech). IEEE, 2020.

基金

暂无数据

补充材料

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附加信息

利益冲突

No competing interests were disclosed.

数据可用性声明

Data sharing not applicable to this poster as no datasets were generated or analyzed during the current study.

知识共享许可协议

Copyright © 2023 Tzitziou et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.