The Study of Thermal Comfort and Saving Energy on HVAC Using Gray Prediction with Fuzzy Control
碩士 === 國立彰化師範大學 === 工業教育學系 === 89 === Heating, Ventilating and Air-conditioning (HVAC) is one of the requistite systems for modern life. It is an important issue to keep the indoor climate in a comfortable condition and save energy with a Variable-air-volume (VAV). The context about the acceptable o...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2001
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| Online Access: | http://ndltd.ncl.edu.tw/handle/53103574516518587614 |
| Summary: | 碩士 === 國立彰化師範大學 === 工業教育學系 === 89 === Heating, Ventilating and Air-conditioning (HVAC) is one of the requistite systems for modern life. It is an important issue to keep the indoor climate in a comfortable condition and save energy with a Variable-air-volume (VAV). The context about the acceptable operative temperature and humidity range for human body in typical summer time is referred to the ANSI/ASHRAE standard 55-1992 final report. This paper employs the Fuzzy Theory and Grey Theory to design a Grey Prediction with Fuzzy Control (GPFC), and the Enthalpy Theory to design a Least Enthalpy Estimator (LEE). Combining both the GPFC and LEE to process time delay and longer term effect of HVAC, it is easy to obtain optimal control strategy to balance between thermal comfort, energy saving and reliability.
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