Please use this identifier to cite or link to this item:
|Title:||Applications of ANNs in the field of the HCPV technology||Authors:||Almonacid, Florencia
Kalogirou, Soteris A.
|Keywords:||High-concentrator photovoltaics;Artificial neural networks||Category:||Environmental Engineering||Field:||Engineering and Technology||Issue Date:||5-Aug-2015||Publisher:||Springer Verlag||Source:||High Concentrator Photovoltaics, 2015, pp. 333-351||Abstract:||High-concentrator photovoltaic (HCPV) devices are based on the use of multijunctions solar cells and optical devices. Therefore, the electrical modelling of an HCPV device presents a great level of complexity. Several artificial neural network (ANN)-based models have been developed to try to address this issue. In this chapter, a review of the developed ANN-based models developed to try to address some issues related with the field of high concentrator PV technology is reported. In addition, the results obtained from the application of some of these models to estimate the electrical parameters of an HCPV module-such as maximum power, short-circuit current, and open-circuit voltage-are presented. The results show that the ANNs are a useful tool for modelling HCPV applications.||URI:||http://ktisis.cut.ac.cy/handle/10488/9523||ISBN:||978-3-319-15039-0||DOI:||10.1007/978-3-319-15039-0_12||Collaboration :||University of Jaén
Cyprus University of Technology
|Rights:||© Springer International Publishing Switzerland 2015||Type:||Book Chapter|
|Appears in Collections:||Κεφάλαια βιβλίων/Book chapters|
checked on Jun 5, 2020
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.