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

doi:10.1016/B978-0-444-59507-2.50153-0

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

^*Corresponding author for this work

School of Engineering & Physical Sciences

Research output: Contribution to journal › Article › peer-review

14 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 language	English
Pages (from-to)	805-809
Number of pages	5
Journal	Computer Aided Chemical Engineering
Volume	31
DOIs	https://doi.org/10.1016/B978-0-444-59507-2.50153-0
Publication status	Published - 2012

Keywords

And process design
Biofuel
Biorefinery
Fuzzy optimization
Microalgae

ASJC Scopus subject areas

General Chemical Engineering
Computer Science Applications

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10.1016/B978-0-444-59507-2.50153-0

Cite this

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title = "A Systematic Approach for Optimization of an Algal Biorefinery Using Fuzzy Linear Programming",

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.",

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AU - Ubando, Aristotle T.

AU - Culaba, Alvin B.

AU - Tan, Raymond R.

AU - Ng, Denny K. S.

PY - 2012

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N2 - 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.

AB - 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.

KW - And process design

KW - Biofuel

KW - Biorefinery

KW - Fuzzy optimization

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

Abstract

Keywords

ASJC Scopus subject areas

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