Leonardo Ricci
Prevision model for energy production in solar concentrator using Artificial Neural Network.
Rel. Davide Papurello. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2021
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (7MB) | Preview |
Abstract
During the last few decades, technology and energy demands are playing a greater role in modern society. So far, most of the energy production comes from oil, natural gas, and coal, all of which are depleting in nature. Renewable energy is crucial for the future of both humanity and the world’s ecosystems. Amongst these, solar energy (SE) is the one that has been the most widely adopted and received the most financial investment. SE is produced either by Photovoltaic (PV) or Solar Concentrator Power (CSP); the first system is the most prevalent, thanks to a well-established technology and a drastic reduction of costs allowing mass production.
CSP, however, requires greater funding and area
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Corso di laurea
Classe di laurea
URI
![]() |
Modifica (riservato agli operatori) |
