Green technologies competition and uncertainty: a Monte Carlo analysis of optimal biofuels supply choices for France - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Energy Procedia Année : 2017

Green technologies competition and uncertainty: a Monte Carlo analysis of optimal biofuels supply choices for France

(1) , (1) , (1)
1
Edi Assoumou
Paul Hugues
  • Fonction : Auteur
  • PersonId : 769731
  • IdRef : 185107338
Nadia Maïzi

Résumé

A timely development and diffusion of green technologies is widely recognised as a key element of an effective transition to a low carbon future. This is in particular the case in the transport sector where several low carbon options have been developed as substitute to oil products. However, green technologies do not only compete against conventional ones but also against each over. In this paper we investigate the conditions of such a competition in the biofuel sector. Our methodology uses a long term and technology rich model to describe the cost competiveness of several biofuel generation pathways. Using a Monte Carlo approach we then discuss the long term interaction between first, second, and third generation technologies.
Fichier principal
Vignette du fichier
1-s2.0-S1876610217361945-main.pdf (500.24 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-01712143 , version 1 (19-02-2018)

Identifiants

Citer

Edi Assoumou, Paul Hugues, Nadia Maïzi. Green technologies competition and uncertainty: a Monte Carlo analysis of optimal biofuels supply choices for France. Energy Procedia, 2017, 9th International Conference on Applied Energy, ICAE2017, 21-24 August 2017, Cardiff, UK, 142, pp.3020-3027. ⟨10.1016/j.egypro.2017.12.439⟩. ⟨hal-01712143⟩
165 Consultations
117 Téléchargements

Altmetric

Partager

Gmail Facebook Twitter LinkedIn More