Optimizing the Design of a Biomass-to-Biofuel Supply Chain Network Using a Decentralized Processing Approach

PSATHAS, FRAGKOULIS; GEORGIOU, PARASKEVAS; RENTIZELAS, ATHANASIOS

dc.contributor.author	PSATHAS, FRAGKOULIS
dc.contributor.author	GEORGIOU, PARASKEVAS
dc.contributor.author	RENTIZELAS, ATHANASIOS
dc.date.accessioned	2024-09-24T09:27:51Z
dc.date.available	2024-09-24T09:27:51Z
dc.identifier.issn	1996-1073	el
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/60265
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.27961
dc.rights	Αναφορά Δημιουργού - Μη Εμπορική Χρήση - Παρόμοια Διανομή 3.0 Ελλάδα	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/3.0/gr/	*
dc.subject	Supply Chain	el
dc.subject	Biomass	en
dc.subject	Optimization	en
dc.subject	Biofuels	en
dc.subject	Sustainability	en
dc.title	Optimizing the Design of a Biomass-to-Biofuel Supply Chain Network Using a Decentralized Processing Approach	en
heal.type	journalArticle
heal.classification	Supply Chain	en
heal.contributorName	PSATHAS, FRAGKOULIS
heal.contributorName	GEORGIOU, PARASKEVAS
heal.contributorName	RENTIZELAS, ATHANASIOS
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2022-07-08
heal.bibliographicCitation	Psathas, F., Georgiou, P.N., Rentizelas, A. (2022) Optimizing the Design of a Biomass-to-Biofuel Supply Chain Network Using a Decentralized Processing Approach. Energies, Vol. 15 (14), 5001. 10.3390/en15145001	en
heal.abstract	When designing biomass-to-biofuel supply chains, the biomass uncertainty, seasonality and geographical dispersion that affect economic viability need to be considered. This work presents a novel methodology that can optimize the design of biofuel supply chains by adopting a decentralized network structure consisting of a mix of fixed and mobile processing facilities. The model considers a variable biomass yield profile and the mobile fast pyrolysis technology. The mixed-integer linear programming model developed identifies the optimal biofuel production and biomass harvesting schedule schemes under the objective of profit maximization. It was applied in the case study of marginal lands in Scotland, which are assumed to be planted with Miscanthus. The trade-offs observed between economies of scale against the transportation costs, the effect of the relocation costs and the contribution of storage capacity were investigated. The results showed that, in most cases, harvesting is most concentrated during the month of the highest biomass yield, provided that storage facilities are available. Storage capacity plays an important role to widen the operational time window of processing facilities since scenarios with restricted or costly storage resulted in facilities of higher capacity operating within a narrower time window, leading to higher investment costs. Relocation costs proved to have a minor share in the total transportation costs	en
heal.sponsor	This study is part of the CERESiS project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101006717	en
heal.publisher	MDPI	en
heal.journalName	Energies	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	false
dc.identifier.doi	https://doi.org/10.3390/en15145001	el