Biomass logistics and environmental impact modelling for sugar-ethanol 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...

Full description

Autores:
Lozano Moreno, Jairo Alexander
Maréchal, François
Tipo de recurso:
Article of journal
Fecha de publicación:
2019
Institución:
Universidad Autónoma de Occidente
Repositorio:
RED: Repositorio Educativo Digital UAO
Idioma:
eng
OAI Identifier:
oai:red.uao.edu.co:10614/11524
Acceso en línea:
http://hdl.handle.net/10614/11524
https://doi.org/10.1016/j.jclepro.2018.10.310
Palabra clave:
Bioetanol
Bioethanol
Biomass logistics
Sugarcane residues
Environmental impact
Waste-to-energy
Bioenergy
Rights
openAccess
License
Derechos Reservados - Universidad Autónoma de Occidente
Description
Summary: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