설비공학논문집 (Korean Journal of Air-Conditioning and Refrigeration Engineering)

  • 제12권7호
  • /
  • Pages.680-687
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  • 2000
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  • 1229-6422(pISSN)
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  • 2465-7611(eISSN)
대한설비공학회 (The Society of Air-Conditioning and Refrigerating Engineers of Korea)
권호 표지

인공신경망 모델을 이용한 온돌시스템의 최적 제어에 관한 연구

A Study on the Optimal Control of Ondol System Using Artificial Neural Network

  • 발행 : 2000.07.01
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초록

The objective of this study is to improve the control performance of Ondol system which causes overheating and underheating with 2-position on/off control. For this, a predictive control that determines the suitable on/off positions using Artificial Neural Network(ANN) model was proposed Dynamic analyses using computer simulation show that the neural network used in the predictive control is adapted to each room whose loads variation and thermal characteristics are different. To examine the applicability of this predictive control with ANN it was compared with 2-position on/off control through experiments.

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참고문헌

  1. Journal of the Architectural Institute of Korea v.14 no.11 Study on the Predictive Control of Ondol System in Apartment Building Lee, J. Y.(et al.)
  2. MS thesis A Study on the Time-Division Hot Water Supply for Energy Saving of Radiant Floor Heating System Kim, Y. Y.
  3. An New Housing Technology Development(Ⅰ) KIER
  4. Hemishphere Numerical Heat Transfer and Fluid Flow Patankar, Suhas V.
  5. Korean Journal of Air-Conditioning and Refrigeration Engineering v.6 no.2 Simulation of Heat Supply Control of Continuous Heating System of Multistoried Apartment in Consideration of Radiant Heat Transfer Choi, Y. D.(et al.)
  6. Report of MCIE Study on Development of Ondol Heating System for Energy Saving
  7. SAREK Standard Weather Data(Seoul district)
  8. Mechanical Design Data Korea National Housing Corp.