FLC-based indoor air quality assessment for ASHRAE standard conformance

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Article

Source Title

Lecture Notes in Electrical Engineering

Volume

349

First Page

711

Last Page

718

Publication Date

1-1-2015

Abstract

Designed and presented in this paper is Indoor Air Quality Assessment using fuzzy logic technology. Triangular membership functions for classified Air and Gaseous parametric categories are to be constructed in Matlab Fuzzy Logic Toolbox using ASHRAE, EPA and WHO standards. Air parameters include Temperature (T) and Relative Humidity (RH) while Gaseous parameters include Carbon Monoxide (CO) and Carbon Dioxide (CO2). The parameters are to be classified as Very Good (VG), Good (G), Fair (F), Poor (P) and Very Poor (VP). The Sugeno-style of inference systems is utilized in this proposed to describe the fuzziness of assessing indoor air quality. There were 131 fuzzy rules formulated. The output parameter is classified as Highly Acceptable (HA), Acceptable (A), Just Acceptable (JA), Not Acceptable (NA), and Highly Not Acceptable (HNA). The fuzzy-based system is simulated and the results were further verified using the weighted means of 90 generated data samples. © Springer-Verlag Berlin Heidelberg 2015.

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Digitial Object Identifier (DOI)

10.1007/978-3-662-47200-2_75

Disciplines

Electrical and Computer Engineering

Keywords

Indoor air quality; Fuzzy logic

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