Open AccessA Fuzzy Approach To Predict The Thermal Performance Of Spiral Solar Thermal Collector
Author(s) -
A.Sekar et.al
Publication year - 2021
Publication title -
türk bilgisayar ve matematik eğitimi dergisi
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.218
H-Index - 3
ISSN - 1309-4653
DOI - 10.17762/turcomat.v12i6.1283
Subject(s) - thermal , mass flow rate , fuzzy logic , renewable energy , spiral (railway) , solar energy , work (physics) , reliability (semiconductor) , mechanics , volumetric flow rate , computer science , simulation , mechanical engineering , meteorology , engineering , thermodynamics , physics , electrical engineering , artificial intelligence , power (physics)
In the recent scenario, the solar energy play a vital role for domestic usages since it is being one of the renewable forms of energy. The spiral solar thermal collector is used to harvest the solar energy. In the present work, the spiral solar thermal collector with specified dimensions was fabricated and the readings were taken. A Rule Based Mamdani Type Fuzzy (RBMTF) model was developed to predict the output temperature of the spiral solar thermal collector, using the mass flow rate of water, time as input parameters and outlet temperature as an output parameter with an aid of MATLAB fuzzy logic toolbox. The rate of flow is varied between 0.014 and 0.0755 for the time range of 600 minutes to 960 minutes. Six phonological variables were considered for each combination and the R2 value for the testing data were about 96.9%. The predicted results were found to be in concurrence with the experimental results which confirm reliability of the proposed RBMTF model.