Design of an Optimal Biorefinery

Muhammad Nawaz, Edwin Zondervan, John Woodley, Rafiqul Gani

Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

Abstract

In this paper we propose a biorefinery optimization model that can be used to find the optimal processing route for the production of ethanol, butanol, succinic acid and blends of these chemicals with fossil fuel based gasoline. The approach unites transshipment models with a superstructure, resulting in a Mixed Integer Non-Linear Program (MINLP). We consider a specific problem based on a network of 72 processing steps (including different pretreatment steps, hydrolysis, fermentation, different separations and fuel blending steps) that can be used to process two different types of feedstock. Numerical results are presented for four different optimization objectives (maximize yield, minimize costs, minimize waste and minimum fixed cost), while evaluating different cases (single product and multi-product).
Original languageEnglish
Publication date2011
Publication statusPublished - 2011
Event21st European Symposium on Computer Aided Process Engineering - Chalkidiki, Greece
Duration: 29 May 20111 Jun 2011
http://www.escape-21.gr/

Conference

Conference21st European Symposium on Computer Aided Process Engineering
CountryGreece
CityChalkidiki
Period29/05/201101/06/2011
Internet address

Bibliographical note

Oral presentation

Keywords

  • Biorefinery
  • Mixed Integer Non-Linear Programming
  • Optimization

Fingerprint Dive into the research topics of 'Design of an Optimal Biorefinery'. Together they form a unique fingerprint.

Cite this