Musonda, F et al.: “Greenhouse Gas Abatement Potentials and Economics of Selected Biochemicals in Germany”. doi: https://doi.org/10.3390/su12062230 0 8406

Projekt
Department BEN Datenarchiv
Beschreibung
Background:
Biochemicals with the potential to substitute fossil reference chemicals in Germany were identified using technological readiness and substitution potential criteria. Their greenhouse gas (GHG) emissions were quantified by using life cycle assessments (LCA) and their economic viabilities were determined by comparing their minimum selling prices with fossil references’ market prices. Under resource, capacity and demand constraints, the GHG abatement potential and the corresponding abatement costs up to 2050 were investigated using a bottom up mathematical optimization model.

Results:
The identified biochemicals were bioethylene, succinic acid, Polylactic acid (PLA) and Polyhydroxyalkanoates (PHA). Results show that only succinic acid is economically competitive. Bioethylene, the least performing in terms of economics breaks even at a carbon price of 420€/tCO2eq. With full tax waivers, a carbon price of 134 €/tCO2eq is necessary. This would result into positive margins for PHA and PLA of 12% and 16% respectively.

Conclusion:
Integrated production of biochemicals is crucial for biochemicals GHG abatement.

Description of the files:
The Matlab file BENSIM.m is the main file for the data preparation of the optimization part of the paper. Exogeneous data is imported from the Excel file BENSIM_Input.xlsx. BENSIM_ghg.m and feedcostIni.m are Matlab functions that are called in BENSIM.m to calculate the greehouse gas abatement and feedstock costs respectively.
After data preparation in BENSIM.m (i.e. formating into required matrices), the data is sent to the GAMS model BENSIM.gms for the optimization. After the optimization results are read from BENSIM.m and graphs are ploted for intepretation.
The MATLAB file MinimumSellingPrice.m is used to calculate the minimum selling prices for the biochemicals. The necessary data is imported from the Excel file EconLCA.xlsx
Größe
63 KB
(Pflicht)
(optional)
25 − 7 + 10  =
 
Falls Sie bezüglich des Datensatzes Kontakt zu uns aufnehmen wollen, füllen Sie bitte das nachfolgende Formular vollständig aus.
Ihre Nachricht wird automatisch an die richtigen Ansprechpartner weiter geleitet.
(maximal 100 Zeichen)
(maximal 4000 Zeichen)
91 − 10 − 2  =
 
Metadaten Kataloge
Dublin Core
URI
http://www.ufz.de/record/dmp/archive/8406
Thema
biochemicals, biobased polymers, bioeconomy, greenhouse gas (GHG) abatement, scenario analysis, optimal biomass allocation
Datenart
Sammlung verschiedener Daten
Urheber
Musonda, Frazer
Herausgeber
Helmholtz-Centre for Environmental Research
Rechteinhaber
Helmholtz-Centre for Environmental Research
Zeitpunkt oder -bereich der Erzeugung der Daten
23.08.2020
Sprache des Inhalts
Englisch
Zugriffsrechte
kein Zugriff