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research article

Biomass logistics and environmental impact modelling for sugar-ethanol production

Alexander Lozano-Moreno, Jairo
•
Marechal, Francois  
February 10, 2019
Journal Of Cleaner Production

The goal of this paper is to evaluate the supply of sugarcane to mills and also the supply of green harvesting residues to second-generation ethanol plants under three different strategies: chopping, baling and integral harvesting. A dynamic model was developed in order to simulate the biomass flow along the main activities within sugar-ethanol supply chain. Weather, geographical and operational constraints were considered for calculating the biomass availability. The model is able to quantify the production of sugar and first-generation ethanol from mills, electricity surplus from co-generation and second generation ethanol with the aim of evaluating operational, economic and environmental indicators. In this study it was found that the integral harvesting is the best strategy for supply the residues in terms of cost (5.90 USD/dry t), energy inputs (56.89 MJ/dry t) and carbon emissions (4.18 kg CO2/dry t). The low resources utilization due to the inappropriate harvest-load-transport synchronization creates bottlenecks that decrease the system throughput, leaving the door open for further improvements. (C) 2018 Elsevier Ltd. All rights reserved.

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Type
research article
DOI
10.1016/j.jclepro.2018.10.310
Web of Science ID

WOS:000456762600029

Author(s)
Alexander Lozano-Moreno, Jairo
Marechal, Francois  
Date Issued

2019-02-10

Publisher

ELSEVIER SCI LTD

Published in
Journal Of Cleaner Production
Volume

210

Start page

317

End page

324

Subjects

Green & Sustainable Science & Technology

•

Engineering, Environmental

•

Environmental Sciences

•

Science & Technology - Other Topics

•

Engineering

•

Environmental Sciences & Ecology

•

biomass logistics

•

sugarcane residues

•

environmental impact

•

waste-to-energy

•

bioenergy

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
SCI-STI-FM  
Available on Infoscience
June 18, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/157103
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