A systematic approach for optimization of an algal biorefinery using fuzzy linear programming
College
Gokongwei College of Engineering
Department/Unit
Mechanical Engineering
Document Type
Article
Source Title
Computer Aided Chemical Engineering
Volume
31
First Page
805
Last Page
809
Publication Date
1-1-2012
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. © 2012 Elsevier B.V.
html
Digitial Object Identifier (DOI)
10.1016/B978-0-444-59507-2.50153-0
Recommended Citation
Ubando, A. T., Culaba, A. B., Tan, R. R., & Ng, D. K. (2012). A systematic approach for optimization of an algal biorefinery using fuzzy linear programming. Computer Aided Chemical Engineering, 31, 805-809. https://doi.org/10.1016/B978-0-444-59507-2.50153-0
Disciplines
Mechanical Engineering
Keywords
Algal biofuels—Refining; Microalgae
Upload File
wf_yes