Proceedings of the Korea Information Processing Society Conference (한국정보처리학회:학술대회논문집)

  • 2017.04a
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  • Pages.885-888
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  • 2017
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  • 2005-0011(pISSN)
  • /
  • 2671-7298(eISSN)
Korea Information Processing Society (한국정보처리학회)
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Indoor Temperature Estimation System for Reduction of Building Energy Consumption

건물 에너지 절감을 위한 실내 온도 추정 시스템

  • Kim, Jeong-Hoon (Dept of Elecrical and Computer Engineering, Korea University) ;
  • You, Sung Hyun (Dept of Elecrical and Computer Engineering, Korea University) ;
  • Lee, Sang Su (Dept of Elecrical and Computer Engineering, Korea University) ;
  • Kim, Kwan-Soo (Dept of Elecrical and Computer Engineering, Korea University) ;
  • Ahn, Choon-Ki (Dept of Elecrical and Computer Engineering, Korea University)
  • 김정훈 (고려대학교 전기전자공학부) ;
  • 유성현 (고려대학교 전기전자공학부) ;
  • 이상수 (고려대학교 전기전자공학부) ;
  • 김관수 (고려대학교 전기전자공학부) ;
  • 안춘기 (고려대학교 전기전자공학부)
  • Published : 2017.04.27
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Abstract

In this paper, a new strategy for estimating building temperature based on the modified resistance capacitance (R - C) network thermal dynamic model is proposed. The proposed method gives accurate indoor temperature estimation using minimum variance finite impulse response filter. Our study is clarified by the experimental validation of the proposed indoor temperature estimation method. This experiment scenario environment is composed of a demand response (DR) server and home energy management system (HEMS) in a test bed.

Keywords