Thermal comfort control on multi-room fan coil unit system using LEE-based fuzzy logic

Chi Min Chu, Tai Lang Jong, Yu-Wei Huang

Research output: Contribution to journalArticle

39 Citations (Scopus)

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 languageEnglish
Pages (from-to)1579-1593
Number of pages15
JournalEnergy Conversion and Management
Volume46
Issue number9-10
DOIs
Publication statusPublished - 2005 Jun 1

Fingerprint

Thermal comfort
Fuzzy logic
Fans
Enthalpy
Controllers
Air conditioning
Heating
Energy efficiency
Atmospheric humidity
Energy conservation
Control systems
Experiments
Temperature

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Nuclear Energy and Engineering
  • Fuel Technology
  • Energy Engineering and Power Technology

Cite this

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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 journalArticle

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