In this chapter we present the results of the calculation of the LCOEn for three representative case studies. The first case study is the Smart Polygeneration Microgrid (SPM) at the Savona Campus of the University of Genoa (Italy), a low voltage microgrid which includes both thermal and electrical generators and loads. The second case study is the Smart Energy Building (SEB), also placed at the Savona Campus, which represents a nanogrid with thermal and electrical devices. Finally, the third case study covers the ERESMAGrid, an electrical microgrid at the Campus of Vegazana of the University of León (Spain), which includes several renewable energy generators and an electrochemical storage system. In the aforesaid three cases, a probabilistic approach based on Monte Carlo method is applied, modeling the uncertainty of the main input parameters by suitable statistical distributions.

Application to Real Case Studies

Bracco S.;Piazza G.;Pagnini L. C.;Delfino F.
2022-01-01

Abstract

In this chapter we present the results of the calculation of the LCOEn for three representative case studies. The first case study is the Smart Polygeneration Microgrid (SPM) at the Savona Campus of the University of Genoa (Italy), a low voltage microgrid which includes both thermal and electrical generators and loads. The second case study is the Smart Energy Building (SEB), also placed at the Savona Campus, which represents a nanogrid with thermal and electrical devices. Finally, the third case study covers the ERESMAGrid, an electrical microgrid at the Campus of Vegazana of the University of León (Spain), which includes several renewable energy generators and an electrochemical storage system. In the aforesaid three cases, a probabilistic approach based on Monte Carlo method is applied, modeling the uncertainty of the main input parameters by suitable statistical distributions.
2022
978-3-030-95931-9
978-3-030-95932-6
File in questo prodotto:
File Dimensione Formato  
Chapter_4.pdf

accesso chiuso

Descrizione: Contributo in volume
Tipologia: Documento in Pre-print
Dimensione 3.04 MB
Formato Adobe PDF
3.04 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

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/11567/1086688
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? ND
social impact