Open Access
ARTICLE
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: .
Computer Modeling in Engineering & Sciences 2020, 122(3), 757-777. https://doi.org/10.32604/cmes.2020.08164
Received 01 August 2019; Accepted 25 December 2019; Issue published 01 March 2020
Abstract
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.
Keywords
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. https://doi.org/10.32604/cmes.2020.08164