Protocol for evaluation of fan coil filter efficiencies in commercial buildings

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Protocol for evaluation of fan coil filter efficiencies in commercial buildings


Author: Fok, Kin-pong
Title: Protocol for evaluation of fan coil filter efficiencies in commercial buildings
Degree: M.Eng.
Year: 2008
Subject: Hong Kong Polytechnic University -- Dissertations.
Indoor air pollution.
Air quality management.
Air conditioning.
Department: Dept. of Building Services Engineering
Pages: 113 leaves : ill. ; 30 cm.
Language: English
InnoPac Record:
Abstract: Air conditioning systems provide thermal comfort for occupants but air filtration. The filter installed in the system serve to only protect the system components only but the use of the filter for filtration of small particles, such as PM2.5 to prevent accumulation indoors is always overlooked. In this industry, there are different standard testing methods to quantify filter efficiency but there are some limitations observed. Onsite factors such as installation, maintenance, air tightness, and actual airflow rate are not taken into account. Besides, those standards tests require complicated equipment and test rigs, which are time and money consuming. Therefore, an onsite filter efficiency evaluation protocol is needed to overcome those limitations. The methodology for the protocol was developed, based on the mathematic model, DustTrak Aerosol and Qtrak IAQ Monitor used in the measurement. The filter efficiencies for the targeted commercial building were evaluated. The filter efficiency falls in the range from 3 to 6 % and 10 to 40 % for hotel and office respectively. During the measurement, there were some limitations when applying this protocol; the model was related to the air leakage rate of the sites and also the outdoor environment. Improvements were done by installing insulation material on the windows to reduce the outdoor temperature influence on the indoor particulates level and also additional layer covered the false ceiling of the office room to reduce the air leakage rate through the gaps. By observing the data after these improvements were made, the filter efficiency measured increased about 57.7% and that means the improvements can increase the accuracy of the model. Replication of the study by considering the limitations can provide further contribution to build a more complete model and investigate the application range of this model.

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