eprintid: 14679
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/46/79
datestamp: 2023-11-10 03:29:16
lastmod: 2023-11-10 03:29:16
status_changed: 2023-11-10 01:57:32
type: conference_item
metadata_visibility: show
creators_name: Khalili, N.N.W.
creators_name: Othman, M.
creators_name: Bakar, M.N.A.
creators_name: Abdullah, L.
creators_name: Ramli, N.
title: PV/T solar collector performance evaluation: Generation of fuzzy rules by using weighted subsethood-based algorithm
ispublished: pub
keywords: Embedded systems; Fuzzy inference; Fuzzy rules; Membership functions; Solar cells, Air mass flow rate; Fuzzy if-then rules; Fuzzy time series; Photovoltaic collectors; Photovoltaic/thermal; Subsethood, Collector efficiency
note: cited By 0; Conference of 10th International Seminar on New Paradigm and Innovation of Natural Sciences and itsApplication, ISNPINSA 2020 ; Conference Date: 24 September 2020 Through 25 September 2020; Conference Code:170730
abstract: A photovoltaic/thermal solar collector operates efficiently if the surrounding conditions are in a favorable state; where the factors or parameters such as solar radiation, ambient temperature, photovoltaic collector temperature and air mass flow rates are taken into consideration to ensure the performance of the collector achieves optimum level. Dependency on surrounding conditions limited the width of analysis that could be done on the factors affecting the performance of the solar collector. This study aims to generate fuzzy rules for solar collector performance evaluation. Experiments on the performance of a single passage air photovoltaic/thermal solar collector have been carried out, and a set of membership functions representing all significant factors has been generated. Then fuzzy rules of forecasting were developed using a weighted subsethood-based algorithm to predict the efficiency of the photovoltaic/thermal solar collector. In this fuzzy time series application, the concept of fuzzy rule-based systems was embedded to generate fuzzy if-then rules. The results showed that the PV/T solar collector performance with changes in parameters could be predicted based on the fuzzy rules that have been generated, and thus further could be used to determine the optimum factors conditions required to achieve optimum collector performance without having to carry out experiments. © Published under licence by IOP Publishing Ltd.
date: 2021
publisher: IOP Publishing Ltd
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112012055&doi=10.1088%2f1742-6596%2f1943%2f1%2f012025&partnerID=40&md5=d85aea4c2455e8160eaa65d532d1c671
id_number: 10.1088/1742-6596/1943/1/012025
full_text_status: none
publication: Journal of Physics: Conference Series
volume: 1943
number: 1
refereed: TRUE
issn: 17426588
citation:   Khalili, N.N.W. and Othman, M. and Bakar, M.N.A. and Abdullah, L. and Ramli, N.  (2021) PV/T solar collector performance evaluation: Generation of fuzzy rules by using weighted subsethood-based algorithm.  In: UNSPECIFIED.