Vol.122, No.3, 2020, pp.757-777, doi:10.32604/cmes.2020.08164
Real-Time Thermomechanical Modeling of PV Cell Fabrication via a POD-Trained RBF Interpolation Network
  • Arka Das1, Anthony Khoury1, Eduardo Divo1, *, Victor Huayamave1, Andres Ceballos2, Ron Eaglin2, Alain Kassab3, Adam Payne4, Vijay Yelundur4, Hubert Seigneur5
1 Embry-Riddle Aeronautical University, Department of Mechanical Engineering, 1 Aerospace Blvd., Daytona Beach, FL 32114, USA.
2 Central Technological Corporation, Longwood, FL 32779, USA.
3 University of Central Florida, Department of Mechanical and Aerospace Engineering, 4000 Central Florida Blvd., Orlando, FL 32816, USA.
4 Suniva Inc., 5765 Peachtree Industrial Blvd., Norcross, GA 30092, USA.
5 Florida Solar Energy Center, University of Central Florida, Cocoa Beach, FL 32922, USA.
* Corresponding Author: Eduardo Divo. Email: divoe@erau.edu.
Received 01 August 2019; Accepted 25 December 2019; Issue published 01 March 2020
This paper presents a numerical reduced order model framework to simulate the physics of the thermomechanical processes that occur during c-Si photovoltaic (PV) cell fabrication. A response surface based on a radial basis function (RBF) interpolation network trained by a Proper Orthogonal Decomposition (POD) of the solution fields is developed for fast and accurate approximations of thermal loading conditions on PV cells during the fabrication processes. The outcome is a stand-alone computational tool that provides, in real time, the quantitative and qualitative thermomechanical response as a function of user-controlled input parameters for fabrication processes with the precision of 3D finite element analysis (FEA). This tool provides an efficient and effective avenue for design and optimization as well as for failure prediction of PV cells.
Silicon wafers, photovoltaic cell, contact firing, proper orthogonal decomposition, radial basis functions.
Cite This Article
Das, A., Khoury, A., Divo, E., Huayamave, V., Ceballos, A. et al. (2020). Real-Time Thermomechanical Modeling of PV Cell Fabrication via a POD-Trained RBF Interpolation Network. CMES-Computer Modeling in Engineering & Sciences, 122(3), 757–777.
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