eprintid: 15560 rev_number: 2 eprint_status: archive userid: 1 dir: disk0/00/01/55/60 datestamp: 2023-11-10 03:30:11 lastmod: 2023-11-10 03:30:11 status_changed: 2023-11-10 01:59:47 type: conference_item metadata_visibility: show creators_name: Khalili, N.N.W. creators_name: Othman, M. creators_name: Sakidin, H. creators_name: Bakar, M.N.A. creators_name: Abdullah, L. title: Optimization of PV/T Solar Collector Performance with Fuzzy If-Then Rules Generation ispublished: pub note: cited By 0; Conference of 6th International Conference on Fundamental and Applied Sciences, ICFAS 2020 ; Conference Date: 13 July 2021 Through 15 July 2021; Conference Code:270909 abstract: Solar energy has been a great resource of energy that help to fulfill the worldâ��s energy demand. However, the surrounding conditions affect the performance of a photovoltaic/thermal solar collector greatly. Since the operation of air photovoltaic/thermal solar collector involves energy input to generate the air flow, it is important to ensure balance in the input and output energy. Based on the experimental data collected, membership functions have been developed and a set of rules has been generated using graphical method to ensure the optimization of the solar collector performance under changes of environmental factor such as solar radiation and ambient temperature. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. date: 2021 publisher: Springer Science and Business Media B.V. official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123285361&doi=10.1007%2f978-981-16-4513-6_55&partnerID=40&md5=a8189bdaec90ac9b2dfc1b7e81e5b15e id_number: 10.1007/978-981-16-4513-6₅₅ full_text_status: none publication: Springer Proceedings in Complexity pagerange: 637-644 refereed: TRUE isbn: 9789811645129 issn: 22138684 citation: Khalili, N.N.W. and Othman, M. and Sakidin, H. and Bakar, M.N.A. and Abdullah, L. (2021) Optimization of PV/T Solar Collector Performance with Fuzzy If-Then Rules Generation. In: UNSPECIFIED.