Signifcant advancements in concentrating photovoltaic (CPV) systems have been achieved in recent years, also thanks to the defnition of calculation methods of their energy performances in several operation conditions. Typically, the CPV systems electrical power is separately calculated or in terms of its temperature or concentration factor (C), but not simultaneously in terms of both variables. In this paper, an Artifcial Neural Network model based on experimental data, linking electric power of CPV system with Direct Normal Irradiance and Triple-Junction cell temperature for diferent C values, is developed. Moreover, the model is also adopted to realize a feasibility analysis of point-focus CPV system used for diferent users: residential building and agricultural livestock farm. The optimal number of modules is determined to maximize the Net Present Value (NPV) of the investment. For the residential user, an optimal confguration of CPV system includes 16 modules, providing a peak power of 3.1 kW and covering an area of 130 m2 . This confguration allows the maximization of NPV value, reaching 15.9 k€, with DPB of 9.8 years. As for the agricultural livestock, 36 modules, with peak power of 7.0 kW and covering an area of 292 m2 , allow the maximization of NPV value equal to 16.3 k€, with DPB of 10.2 years.

ANN model of a triple‑junction cell in concentrating photovoltaic system

carlo renno
;
alessandro perone;olga di marino
2024-01-01

Abstract

Signifcant advancements in concentrating photovoltaic (CPV) systems have been achieved in recent years, also thanks to the defnition of calculation methods of their energy performances in several operation conditions. Typically, the CPV systems electrical power is separately calculated or in terms of its temperature or concentration factor (C), but not simultaneously in terms of both variables. In this paper, an Artifcial Neural Network model based on experimental data, linking electric power of CPV system with Direct Normal Irradiance and Triple-Junction cell temperature for diferent C values, is developed. Moreover, the model is also adopted to realize a feasibility analysis of point-focus CPV system used for diferent users: residential building and agricultural livestock farm. The optimal number of modules is determined to maximize the Net Present Value (NPV) of the investment. For the residential user, an optimal confguration of CPV system includes 16 modules, providing a peak power of 3.1 kW and covering an area of 130 m2 . This confguration allows the maximization of NPV value, reaching 15.9 k€, with DPB of 9.8 years. As for the agricultural livestock, 36 modules, with peak power of 7.0 kW and covering an area of 292 m2 , allow the maximization of NPV value equal to 16.3 k€, with DPB of 10.2 years.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4866031
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact