A viable solution for an immediate road transport sector decarbonisation is internal combustion engine vehicles fuelled with H2 compressed natural gas (HCNG). In this work a techno economic analysis has been carried out in order to optimise the sizing process of a retrofitted HCNG refuelling station with on-site electrolysis, powered by photovoltaic energy. The sizing approach has been addressed by conjecturing a variable hydrogen volumetric fraction in the blend up to 30% vol. Thereafter, once the HCNG effects on the fill-ups demand have been considered, 150 refuelling station capacity scenarios have been analysed by iterating PV plant, electrolyser, and storage systems capacities. Each configuration has been dynamically simulated via a detailed simulation model in the MATLAB/Simulink environment. Hence, by means of the Pareto-based multi-objective optimization and Utopia point the optimal capacity scenarios have been detected by maximising the hydrogen production, and minimising the LCOH, HCNG cost and carbon avoidance cost (CAC) as well. The most suitable HCNG refuelling station ensures an overall H2 volumetric fraction of 23.98% vol., a LCOH of 9.22 /kg, 1.18 /kg as HCNG final cost and carbon avoidance cost of 264.98 /tCO2,Avd.

HCNG refuelling station to accelerate the transition towards a real hydrogen economy: A techno-economic analysis / Sgaramella, Antonio; Pastore, Lorenzo Mario; Lo Basso, Gianluigi; Mojtahed, Ali; de Santoli, Livio. - In: INTERNATIONAL JOURNAL OF HYDROGEN ENERGY. - ISSN 0360-3199. - 69:(2024), pp. 1403-1416. [10.1016/j.ijhydene.2024.05.145]

HCNG refuelling station to accelerate the transition towards a real hydrogen economy: A techno-economic analysis

Pastore, Lorenzo Mario;Lo Basso, Gianluigi;Mojtahed, Ali;de Santoli, Livio
2024

Abstract

A viable solution for an immediate road transport sector decarbonisation is internal combustion engine vehicles fuelled with H2 compressed natural gas (HCNG). In this work a techno economic analysis has been carried out in order to optimise the sizing process of a retrofitted HCNG refuelling station with on-site electrolysis, powered by photovoltaic energy. The sizing approach has been addressed by conjecturing a variable hydrogen volumetric fraction in the blend up to 30% vol. Thereafter, once the HCNG effects on the fill-ups demand have been considered, 150 refuelling station capacity scenarios have been analysed by iterating PV plant, electrolyser, and storage systems capacities. Each configuration has been dynamically simulated via a detailed simulation model in the MATLAB/Simulink environment. Hence, by means of the Pareto-based multi-objective optimization and Utopia point the optimal capacity scenarios have been detected by maximising the hydrogen production, and minimising the LCOH, HCNG cost and carbon avoidance cost (CAC) as well. The most suitable HCNG refuelling station ensures an overall H2 volumetric fraction of 23.98% vol., a LCOH of 9.22 /kg, 1.18 /kg as HCNG final cost and carbon avoidance cost of 264.98 /tCO2,Avd.
2024
power to gas; HCNG; hydrogen blending; refuelling station; driving range; LCOH
01 Pubblicazione su rivista::01a Articolo in rivista
HCNG refuelling station to accelerate the transition towards a real hydrogen economy: A techno-economic analysis / Sgaramella, Antonio; Pastore, Lorenzo Mario; Lo Basso, Gianluigi; Mojtahed, Ali; de Santoli, Livio. - In: INTERNATIONAL JOURNAL OF HYDROGEN ENERGY. - ISSN 0360-3199. - 69:(2024), pp. 1403-1416. [10.1016/j.ijhydene.2024.05.145]
File allegati a questo prodotto
File Dimensione Formato  
Sgaramella_HCNG_2024.pdf

accesso aperto

Note: Versione editoriale
Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 4.87 MB
Formato Adobe PDF
4.87 MB Adobe PDF

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/11573/1714324
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 0
social impact