Abstract
Saving consumable energy and maintaining the thermal comfort level are two main topics in the heating, ventilating and air conditioning (HVAC) control field. The reliability of the controller is important as well. This paper proposes a least enthalpy estimator (LEE) that combines the definition of thermal comfort level and the theory of enthalpy into a load predicting way to provide timely suitable settings for a fan coil unit (FCU) fuzzy controller used in HVAC. According to the settings, including temperature and relative humidity, the fuzzy controller can make decisions and adjust the output of the FCU system. From actual experiments, the LEE-based FCU fuzzy controller can achieve the requirements of the FCU control system such as thermal comfort, energy efficiency and reliability.
| Original language | English |
|---|---|
| Pages (from-to) | 1579-1593 |
| Number of pages | 15 |
| Journal | Energy Conversion and Management |
| Volume | 46 |
| Issue number | 9-10 |
| DOIs | |
| Publication status | Published - 2005 Jun 1 |
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All Science Journal Classification (ASJC) codes
- Renewable Energy, Sustainability and the Environment
- Nuclear Energy and Engineering
- Fuel Technology
- Energy Engineering and Power Technology
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Thermal comfort control on multi-room fan coil unit system using LEE-based fuzzy logic. / Chu, Chi Min; Jong, Tai Lang; Huang, Yu-Wei.
In: Energy Conversion and Management, Vol. 46, No. 9-10, 01.06.2005, p. 1579-1593.Research output: Contribution to journal › Article
TY - JOUR
T1 - Thermal comfort control on multi-room fan coil unit system using LEE-based fuzzy logic
AU - Chu, Chi Min
AU - Jong, Tai Lang
AU - Huang, Yu-Wei
PY - 2005/6/1
Y1 - 2005/6/1
N2 - Saving consumable energy and maintaining the thermal comfort level are two main topics in the heating, ventilating and air conditioning (HVAC) control field. The reliability of the controller is important as well. This paper proposes a least enthalpy estimator (LEE) that combines the definition of thermal comfort level and the theory of enthalpy into a load predicting way to provide timely suitable settings for a fan coil unit (FCU) fuzzy controller used in HVAC. According to the settings, including temperature and relative humidity, the fuzzy controller can make decisions and adjust the output of the FCU system. From actual experiments, the LEE-based FCU fuzzy controller can achieve the requirements of the FCU control system such as thermal comfort, energy efficiency and reliability.
AB - Saving consumable energy and maintaining the thermal comfort level are two main topics in the heating, ventilating and air conditioning (HVAC) control field. The reliability of the controller is important as well. This paper proposes a least enthalpy estimator (LEE) that combines the definition of thermal comfort level and the theory of enthalpy into a load predicting way to provide timely suitable settings for a fan coil unit (FCU) fuzzy controller used in HVAC. According to the settings, including temperature and relative humidity, the fuzzy controller can make decisions and adjust the output of the FCU system. From actual experiments, the LEE-based FCU fuzzy controller can achieve the requirements of the FCU control system such as thermal comfort, energy efficiency and reliability.
UR - http://www.scopus.com/inward/record.url?scp=15744391669&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=15744391669&partnerID=8YFLogxK
U2 - 10.1016/j.enconman.2004.08.002
DO - 10.1016/j.enconman.2004.08.002
M3 - Article
AN - SCOPUS:15744391669
VL - 46
SP - 1579
EP - 1593
JO - Energy Conversion and Management
JF - Energy Conversion and Management
SN - 0196-8904
IS - 9-10
ER -