Journal
JOURNAL OF CLEANER PRODUCTION
Volume 337, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2022.130585
Keywords
Biorefinery; Sugarcane; Bio-MEG; Bio-based economy; Biomass seasonality; Techno-economic assessment
Categories
Funding
- SENAI Innovation Institute for Biosynthetic and Fibers
- School of Chemistry from the Federal University of Rio de Janeiro
- Brazilian National Council for Scientific and Technological Development (CNPq)
Ask authors/readers for more resources
This study assesses the effects of scale and seasonality on the design of a sugarcane-based ethanol biorefinery and finds that the selling price of bio-MEG must be higher than fossil-based MEG to ensure competitiveness.
An appropriate techno-economic assessment of biorefineries is essential for consolidating a bio-based economy. Herein, the effects of scale and seasonality on the design of a sugarcane to ethanol biorefinery were assessed using an extensive process simulation and economic modeling methodology. Four sub-processes were simulated for eight different scales: ethanol from sugarcane, ethanol dehydration to ethylene, ethylene to mono ethylene glycol (MEG), and electricity and steam generation from bagasse. Models for capital expenditure and minimum selling price versus product capacity were developed for ethanol, bio-ethylene, and MEG. The integrated biorefinery was analyzed for 200 kt/yr and 440 kt/yr bio-ethylene capacities, considering three regions of Brazil: Northeast, South-central, and Sa & SIM;o Paulo/Paran & PRIME;a. Seasonality effects were mitigated by establishing a storage park alongside the biorefinery. The results indicated that the selling price of bio-MEG must be at least 20-30% higher than the fossil-based MEG to ensure competition. The 440 kt/yr biorefinery located in the South-central region had the lowest bio-MEG selling price, however, it required an outsized distillery. Moreover, scale and seasonality had a significant impact on the competitiveness of the biorefinery. The bio-MEG selling price might vary by up to 22%, depending on the specific combination of these factors.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available