Following the Smart Grid view, current energy generation systems based on fossil fuels will be replaced with renewable energy sources. Photovoltaic (PV) is currently consid- ered the most promising technology, due to decreasing costs of the devices and to the limited invasiveness in existing infrastructures, that make PV installations quite common urban buildings’ roofs. To maximise both power production and Return Of Investment (ROI) of PV installations, new techniques and methodologies should be applied to limit sources of inefficiencies, like shading and power losses due to an incorrect installation. In this paper, we propose a novel solution for an optimal configuration and placement of PV systems in buildings’ roofs. Given a number of alternative configurations and a roof of interest, it combines detailed geographic and irradiance information to determine the optimal PV installation, by maximizing both power production and ROI. Our simulation results on two real-world roofs demonstrate an improvement on power generation up to 23% w.r.t. standard compact installations. These results also highlight that a cost analysis, often ignored by standard installation strategies, is nonetheless necessary to guarantee optimal results in terms of PV production and revenue.
Optimal Configuration and Placement of PV Systems in Building Roofs with Cost Analysis / Orlando, Matteo; Bottaccioli, Lorenzo; Patti, Edoardo; Macii, Enrico; Vinco, Sara; Poncino, Massimo. - (2020), pp. 1411-1416. (Intervento presentato al convegno 2020 IEEE International Computer Software and Applications Conference (COMPSAC) tenutosi a Madrid, Spain nel 13-17 July 2020) [10.1109/COMPSAC48688.2020.00-58].
Optimal Configuration and Placement of PV Systems in Building Roofs with Cost Analysis
Matteo Orlando;Lorenzo Bottaccioli;Edoardo Patti;Enrico Macii;Sara Vinco;Massimo Poncino
2020
Abstract
Following the Smart Grid view, current energy generation systems based on fossil fuels will be replaced with renewable energy sources. Photovoltaic (PV) is currently consid- ered the most promising technology, due to decreasing costs of the devices and to the limited invasiveness in existing infrastructures, that make PV installations quite common urban buildings’ roofs. To maximise both power production and Return Of Investment (ROI) of PV installations, new techniques and methodologies should be applied to limit sources of inefficiencies, like shading and power losses due to an incorrect installation. In this paper, we propose a novel solution for an optimal configuration and placement of PV systems in buildings’ roofs. Given a number of alternative configurations and a roof of interest, it combines detailed geographic and irradiance information to determine the optimal PV installation, by maximizing both power production and ROI. Our simulation results on two real-world roofs demonstrate an improvement on power generation up to 23% w.r.t. standard compact installations. These results also highlight that a cost analysis, often ignored by standard installation strategies, is nonetheless necessary to guarantee optimal results in terms of PV production and revenue.| File | Dimensione | Formato | |
|---|---|---|---|
| PV_COMPSAC_2020.pdf accesso aperto 
											Tipologia:
											2. Post-print / Author's Accepted Manuscript
										 
											Licenza:
											
											
												Pubblico - Tutti i diritti riservati
												
												
												
											
										 
										Dimensione
										696.48 kB
									 
										Formato
										Adobe PDF
									 | 696.48 kB | Adobe PDF | Visualizza/Apri | 
| 09202819.pdf accesso riservato 
											Tipologia:
											2a Post-print versione editoriale / Version of Record
										 
											Licenza:
											
											
												Non Pubblico - Accesso privato/ristretto
												
												
												
											
										 
										Dimensione
										602.38 kB
									 
										Formato
										Adobe PDF
									 | 602.38 kB | Adobe PDF | Visualizza/Apri Richiedi una copia | 
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/2837813
			
		
	
	
	
			      	