Record link: 
http://hdl.handle.net/20.500.12708/188555
-
Title: 
Superstructure configuration and optimization of the biofuel production perspectives in Austria
en
Citation: 
Abbas, S., Robinson, A. J., & Papadokonstantakis, S. (2023). Superstructure configuration and optimization of the biofuel production perspectives in Austria. In A. C. Kokossis, M. Georgiadis, & E. Pistikopoulos (Eds.), 33rd European Symposium on Computer Aided Process Engineering (pp. 619–624). Elsevier. https://doi.org/10.1016/B978-0-443-15274-0.50098-6
-
Publisher DOI: 
10.1016/B978-0-443-15274-0.50098-6
-
Publication Type: 
Inproceedings - Full-Paper Contribution
en
Language: 
English
-
Authors: 
Abbas, Safdar 
Robinson, Ada Josefina 
Papadokonstantakis, Stavros 
-
Organisational Unit: 
E166-06-3 - Forschungsgruppe Prozesssystematik für nachhaltige Ressourcen 
-
Published in: 
33rd European Symposium on Computer Aided Process Engineering 
-
ISBN: 
978-0-443-15274-0
-
Volume: 
52
-
Date (published): 
2023
-
Event name: 
33rd European Symposium on Computer Aided Process Engineering (ESCAPE33) 
en
Event date: 
18-Jun-2023 - 21-Jun-2023
-
Event place: 
Athen, Greece
-
Number of Pages: 
6
-
Publisher: 
Elsevier
-
Keywords: 
Biomass; Biofuels; Prospective Life Cycle Assessment (PLCA); Superstructure; Optimization
en
Abstract: 
This paper presents a superstructure model of mid to long-term biofuel production systems in Austria and determines the optimal configurations that simultaneously satisfy the profit maximization and environmental impact minimizations. A Linear Programming (LP) mathematical model formulation is developed based on data collected from different studies on the biofuel production process. The superstructure-based model considers the availability of Austrian second-generation feedstock, conversion technologies, and final products and by-products. The economic objective function considers the total net profit. The environmental objective function considers the overall environmental impact measured through the Prospective life cycle assessment. The multi-objective model is solved in GAMS software using the ε-constraint method. The results demonstrate the solution for minimum Environmental Impact is zero and profit also zero which means nothing is produced then the model solved for maximum profit which is 284 M€/Year and an overall Environmental Impact is 0.67 Mt of CO2-Eq.
en
Research Areas: 
Sustainable and Low Emission Mobility: 50%
Modeling and Simulation: 50%
-
Science Branch: 
2040 - Chemische Verfahrenstechnik: 65%
1010 - Mathematik: 35%
-
Appears in Collections:
Conference Paper

Show full item record

Page view(s)

46
checked on Dec 1, 2023

Google ScholarTM

Check