| Autor: |
Selamat, Hazlina, Haniff, Mohamad Fadzli, Sharif, Zainon Mat, Attaran, Seyed Mohammad, Sakri, Fadhilah Mohd, Razak, Muhammad Al'Hapis Bin Abdul |
| Předmět: |
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| Zdroj: |
International Energy Journal; Sep2020, Vol. 20 Issue 3, p345-358, 13p |
| Abstrakt: |
Works on the optimization of heating, ventilat ion and air-conditioning (HVAC) systems have been done extensively because of its high amount of building electrical energy usage. This paper provides a review on the optimizations works of HVAC systems based on three main approaches - HVAC operational parameters optimization, HVAC controller parameters optimization and building design parameters optimizat ion. For the system's operational parameters, the optimizat ion is based on the HVA C's conventional and predictive energy consumption models which is clear the predictive HVAC system models can get better response to reduce energy consumption compare to conventional energy consumption model. In most works, the thermal comfort model, either indicated by the indoor air quality (IAQ) or the predicted mean vote (PMV) was included. It is be noticed that between IAQ comfort index and PMV comfort index the PMV had a better response that can get 46% reduce the energy consumption. In addition, in the HVA C's controller optimization approach, its objective is to improve the output response of the HVAC system in order to avoid unnecessary energy usage by optimizing the controller parameters that employ controllers such as Fuzzy Logic, Neural Network and Proportional -Integral-Derivative (PID) controllers. It is clear that among the different controller optimizations mentioned above the fuzzy logic tuning optimization has a better response to reduction of energy consumption rather than other controller optimizat ion approach. Meanwhile, the optimizat ion of building design parameters approach is done before the construction of the buildings so as to reduce the energy consumption, where factors such as HVAC system type, construction material type and window dimensions are determined through the optimization process. This paper reviews the works based on the three approaches of HVAC system optimizat ions with the object ive of reducing energy usage without sacrificing the comfort of occupants inside the building that is recommended to us e predictive HVAC system approaches with fuzzy logic controller . Moreover, comparing different tools for building parameter and design optimization including SEDICAE, EXRETopt and EneryPlus, the EXRETopt by using PMV comfort index makes to 62% reduction of energy consumption. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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