A Systematic Approach for Optimization of an Algal Biorefinery Using Fuzzy Linear Programming

Aristotle T. Ubando, Alvin B. Culaba, Raymond R. Tan, Denny K.S. Ng

Research output: Chapter in Book/Report/Conference proceedingChapter

12 Citations (Scopus)

Abstract

In order to efficiently convert microalgae into value added products, a sustainable integrated algal biorefinery is needed. Generally, conversion of microalgae into biofuel involves several processing steps: cultivation, harvesting, dewatering, drying, oil extraction, and biofuel production. One of the main challenges in designing and optimizing an integrated algal biorefinery is determining the configuration which meets the requirements for key outputs as well as environmental and resource limits. In this work, a systematic fuzzy linear programming (FLP) approach for design and optimization of an integrated algal biorefinery which considers water footprint, land footprint, and carbon footprint is presented. A hypothetical case study is presented to illustrate the proposed approach.

Original languageEnglish
Title of host publicationComputer Aided Chemical Engineering
PublisherElsevier B.V.
Pages805-809
Number of pages5
DOIs
Publication statusPublished - 2012

Publication series

NameComputer Aided Chemical Engineering
Volume31
ISSN (Print)1570-7946

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Computer Science Applications

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