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PV Module Temperature Estimation by Using ANFIS

  • Challa Babu
  • Ponnambalam PathipooranamEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1048)

Abstract

The recent advantages in the thermal extraction schemes of Photovoltaic (PV) systems became more feasible for domestic applications. The amount of thermal energy available at the PV backside is the source for all thermal extraction/utilizing schemes. But, till now, there is no accurate theoretical method to find the module temperature by any mathematical equation to be adaptable for all the conditions. In this work, we introduced the soft computing based estimation using Adaptive Neural Fuzzy Inference Systems (ANFIS) tool in MATLAB to estimate the module temperature of PV with respect to change of irradiance, ambient temperature, and wind velocity.

Keywords

PV/thermal systems Temperature estimation ANFIS Error reduction 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.School of Electrical EngineeringVITVelloreIndia

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