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Coproduction of ethanol and biodiesel from lipid cane

Project description

Version_status license

What is lipidcane?

lipidcane contains the biorefinery design and techno-economic analysis for the co-production of ethanol and biodiesel from lipid cane. The design is based on the paper “Techno-economic analysis of biodiesel and ethanol co-production from lipid-producing sugarcane” DOI: 10.1002/bbb.1640; Biofuels, Bioprod. Bioref. 10:299–315 (2016). The biorefinery is modeled completely in BioSTEAM.


Get the latest version of lipidcane from

If you have an installation of Python with pip, simple install it with:

$ pip install lipidcane

To get the git version, run:

$ git clone git://

Getting started

To load the whole biorefinery, import the system subpackage:

>>> from lipidcane import system

Now the main flowsheet is set to the lipidcane biorefinery:

>>> from biosteam import find
>>> find
<MainFlowsheet: Lipidcane>

Use the find object to navigate:

>>> find.system # All systems present
 <System: crushing_mill_recycle>
 <System: clarification_recycle>
 <System: pretreatment_sys>
 <System: purification_recycle>
 <System: ethanol_sys>
 <System: glycerol_recycle_sys>
 <System: biodiesel_sys>
 <System: lipid_cane_system>

The TEA object is attached to “lipid_cane_system”, which is the complete biorefinery system.

>>> find.system.lipid_cane_system.TEA
TEA: lipid_cane_system
 NPV: 2.4e+07 USD at 17.5% IRR
 ROI: 0.156 1/yr
 PBP: 4.68 yr

You can also just import just the Species object used to model the thermodynamic properties:

>>> from lipidcane import species
>>> species.lipidcane_species
<Species: Glucose, H3PO4, Flocculant, Ethanol, Lignin, Solids, Sucrose, CaO, Ash, Cellulose, Hemicellulose, Lipid, Water, Methanol, Glycerol, Biodiesel, NaOH, HCl, NaOCH3, CO2, Octane, DryYeast>

Bug reports

To report bugs, please use the lipidcane’s Bug Tracker at:

License information

See LICENSE.txt for information on the terms & conditions for usage of this software, and a DISCLAIMER OF ALL WARRANTIES.


This work was funded by the DOE Center for Advanced Bioenergy and Bioproducts Innovation (U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research under Award Number DE-SC0018420). Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of the U.S. Department of Energy.

This material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. DGE - 1144245

Project details

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