Enhanced building thermal model by using CO2 based occupancy data

Tomoya Imanishi, Rajitha Tennekoon, Peter Palensky, Hiroaki Nishi

研究成果: Conference contribution

7 被引用数 (Scopus)

抄録

Prevailing low energy buildings attracts lots of attention in the world. Many studies have contributed in introducing higher thermal efficiency towards rooms with low energy heating, ventilation, and air-conditioning (HVAC) systems. However, current HVAC systems do not consider CO2 concentration change and thermal contribution towards human bodies in a room. This paper presents a novel method to predict thermal dynamics, including person count. Occupancy data are dynamically estimated by CO2 concentration and thermal contribution from the human bodies. The model is formulated as a resistor-capacitor circuit (RC circuit) in the Modelica modeling language. All parameters in a simulation are identified using actual building data during the winter season in Japan. Results are validated using measured information of actual building environment, and the test results concluded an improvement of absolute percentage error by 0.16 % over the conventional model. From the test results, it was concluded that the moving average filter of 20 minutes was an appropriate mean time to represent the time delay value.

本文言語English
ホスト出版物のタイトルIECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society
出版社Institute of Electrical and Electronics Engineers Inc.
ページ3116-3121
ページ数6
ISBN(電子版)9781479917624
DOI
出版ステータスPublished - 2015
イベント41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015 - Yokohama, Japan
継続期間: 2015 11 92015 11 12

出版物シリーズ

名前IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society

Other

Other41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015
国/地域Japan
CityYokohama
Period15/11/915/11/12

ASJC Scopus subject areas

  • 電子工学および電気工学
  • 産業および生産工学

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