TY - CHAP
T1 - A Systematic Approach for Optimization of an Algal Biorefinery Using Fuzzy Linear Programming
AU - Ubando, Aristotle T.
AU - Culaba, Alvin B.
AU - Tan, Raymond R.
AU - Ng, Denny K.S.
N1 - Funding Information:
The financial support of the University Research Coordinating Office of De La Salle University (Grant # 04 RPW AY11-12) and the Faculty Development Program of De La Salle University support of Ph.D. studies of the first author are gratefully acknowledged.
PY - 2012
Y1 - 2012
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.
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U2 - 10.1016/B978-0-444-59507-2.50153-0
DO - 10.1016/B978-0-444-59507-2.50153-0
M3 - Chapter
AN - SCOPUS:84864522072
T3 - Computer Aided Chemical Engineering
SP - 805
EP - 809
BT - Computer Aided Chemical Engineering
PB - Elsevier B.V.
ER -