Rahman, Sam Matiur and Mohammad Fazle, Rabbi and Altwijri, Omar and Alqahtani, Mahdi and Tasriva, Sikandar and Izzeldin, I. Mohd and Ali, Md. Asraf and Sundaraj, Kenneth (2018) Fuzzy logic-based improved ventilation system for the pharmaceutical industry. International Journal of Engineering & Technology, 7 (2). pp. 640-645. ISSN 2227-524X. (Published)
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Abstract
Indoor air quality in pharmaceutical industry plays a vital role in the product ion and storing of medicine. Stable indoor environment including favourable temperature, humidity, air flow and number of microorganisms requires consistent monitoring. This paper aimed to develop a fuzzy logic-based intelligent ventilation system to control the indoor air quality in pharmaceutical sites. Specifically, in the proposed fuzzy inference system, the ventilation system can control the air flow and quality in accordance with the indoor temperature, humidity, air flow and microorganisms in the air. The MATLAB® fuzzy logic toolbox was used to simulate the performance of the fuzzy inference system. The results show that the efficiency of the system can be improved by manipulating the input-output parameters according to the user’s demands. Compared with conventional heating, ventilation and air-conditioning (HVAC) systems, the proposed ventilation system has the additional feature of the existence of microorganisms, which is a crucial criterion of indoor air quality in pharmaceutical laboratories.
Item Type: | Article |
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Additional Information: | Indexed by Scopus |
Uncontrolled Keywords: | Fuzzy inference system; Air-conditioning; Pharmaceutical laboratories; Smart ventilation |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Faculty/Division: | Faculty of Electrical & Electronic Engineering Institute of Postgraduate Studies |
Depositing User: | Mrs Norsaini Abdul Samat |
Date Deposited: | 07 Nov 2022 09:24 |
Last Modified: | 07 Nov 2022 09:24 |
URI: | http://umpir.ump.edu.my/id/eprint/29354 |
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