Study on indoor local dynamic thermal comfort models and optimizing control strategy

Chun Cheng Zhang; Yuan Qing Xu; Xiang Guang Chen

doi:10.1109/AIMSEC.2011.6010445

Study on indoor local dynamic thermal comfort models and optimizing control strategy

Chun Cheng Zhang^*
, Yuan Qing Xu
, Xiang Guang Chen

^*Corresponding author for this work

School of Medical Science and Engineering

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

People working indoors often respond very differently to levels of thermal comfort in the office, which is directly related to health and work efficiency. Up to now, the dilemma of thermal comfort for all and energy efficiency in the process remains unsolved. A local dynamic thermal comfort model is established in this paper based on the CFD software. Local parameters are designated and all-around measuring & control system in office designed. An all-around control strategy measuring the index for indoor thermal comfort of different levels is proposed. The experimental results show that the proposed control strategy can meet most people's requirement in office for thermal comfort and reduce energy consumption.

Original language	English
Title of host publication	2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Proceedings
Pages	648-652
Number of pages	5
DOIs	https://doi.org/10.1109/AIMSEC.2011.6010445
Publication status	Published - 2011
Event	2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Zhengzhou, China Duration: 8 Aug 2011 → 10 Aug 2011

Publication series

Name	2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Proceedings

Conference

Conference	2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011
Country/Territory	China
City	Zhengzhou
Period	8/08/11 → 10/08/11

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Dynamic model
HVAC
Optimizing control method
PMV index
Thermal comfort

Access to Document

10.1109/AIMSEC.2011.6010445

Cite this

Zhang, C. C., Xu, Y. Q., & Chen, X. G. (2011). Study on indoor local dynamic thermal comfort models and optimizing control strategy. In 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Proceedings (pp. 648-652). Article 6010445 (2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Proceedings). https://doi.org/10.1109/AIMSEC.2011.6010445

Zhang, Chun Cheng ; Xu, Yuan Qing ; Chen, Xiang Guang. / Study on indoor local dynamic thermal comfort models and optimizing control strategy. 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Proceedings. 2011. pp. 648-652 (2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Proceedings).

@inproceedings{607e9cd60fb3441da1af0a0d6f4a1420,

title = "Study on indoor local dynamic thermal comfort models and optimizing control strategy",

abstract = "People working indoors often respond very differently to levels of thermal comfort in the office, which is directly related to health and work efficiency. Up to now, the dilemma of thermal comfort for all and energy efficiency in the process remains unsolved. A local dynamic thermal comfort model is established in this paper based on the CFD software. Local parameters are designated and all-around measuring \& control system in office designed. An all-around control strategy measuring the index for indoor thermal comfort of different levels is proposed. The experimental results show that the proposed control strategy can meet most people's requirement in office for thermal comfort and reduce energy consumption.",

keywords = "Dynamic model, HVAC, Optimizing control method, PMV index, Thermal comfort",

author = "Zhang, \{Chun Cheng\} and Xu, \{Yuan Qing\} and Chen, \{Xiang Guang\}",

year = "2011",

doi = "10.1109/AIMSEC.2011.6010445",

language = "English",

isbn = "9781457705366",

series = "2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Proceedings",

pages = "648--652",

booktitle = "2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Proceedings",

note = "2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 ; Conference date: 08-08-2011 Through 10-08-2011",

}

Zhang, CC, Xu, YQ & Chen, XG 2011, Study on indoor local dynamic thermal comfort models and optimizing control strategy. in 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Proceedings., 6010445, 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Proceedings, pp. 648-652, 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011, Zhengzhou, China, 8/08/11. https://doi.org/10.1109/AIMSEC.2011.6010445

Study on indoor local dynamic thermal comfort models and optimizing control strategy. / Zhang, Chun Cheng; Xu, Yuan Qing; Chen, Xiang Guang.
2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Proceedings. 2011. p. 648-652 6010445 (2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Study on indoor local dynamic thermal comfort models and optimizing control strategy

AU - Zhang, Chun Cheng

AU - Xu, Yuan Qing

AU - Chen, Xiang Guang

PY - 2011

Y1 - 2011

N2 - People working indoors often respond very differently to levels of thermal comfort in the office, which is directly related to health and work efficiency. Up to now, the dilemma of thermal comfort for all and energy efficiency in the process remains unsolved. A local dynamic thermal comfort model is established in this paper based on the CFD software. Local parameters are designated and all-around measuring & control system in office designed. An all-around control strategy measuring the index for indoor thermal comfort of different levels is proposed. The experimental results show that the proposed control strategy can meet most people's requirement in office for thermal comfort and reduce energy consumption.

AB - People working indoors often respond very differently to levels of thermal comfort in the office, which is directly related to health and work efficiency. Up to now, the dilemma of thermal comfort for all and energy efficiency in the process remains unsolved. A local dynamic thermal comfort model is established in this paper based on the CFD software. Local parameters are designated and all-around measuring & control system in office designed. An all-around control strategy measuring the index for indoor thermal comfort of different levels is proposed. The experimental results show that the proposed control strategy can meet most people's requirement in office for thermal comfort and reduce energy consumption.

KW - Dynamic model

KW - HVAC

KW - Optimizing control method

KW - PMV index

KW - Thermal comfort

UR - https://www.scopus.com/pages/publications/80053283941

U2 - 10.1109/AIMSEC.2011.6010445

DO - 10.1109/AIMSEC.2011.6010445

M3 - Conference contribution

AN - SCOPUS:80053283941

SN - 9781457705366

T3 - 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Proceedings

SP - 648

EP - 652

BT - 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Proceedings

T2 - 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011

Y2 - 8 August 2011 through 10 August 2011

ER -

Zhang CC, Xu YQ, Chen XG. Study on indoor local dynamic thermal comfort models and optimizing control strategy. In 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Proceedings. 2011. p. 648-652. 6010445. (2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Proceedings). doi: 10.1109/AIMSEC.2011.6010445

Study on indoor local dynamic thermal comfort models and optimizing control strategy

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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