Linear programming modelling of an integrated sugarcane microalgal biofuel plant

One of the current trends for sustainable energy production is microalgal biofuel. It offers a fast-growing feedstock with high oil yield per land area. The current challenge of microalgal biofuel is in its economic competitiveness, because of its high production costs relative to fossil-based fuels...

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Main Authors: Gue, Ivan Henderson V., Ubando, Aristotle T., Aguilar, Kyle Darryl T., Manrique, Robby B., Cuello, Joel L., Culaba, Alvin B.
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Published: Animo Repository 2017
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2245
https://animorepository.dlsu.edu.ph/context/faculty_research/article/3244/type/native/viewcontent
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-32442021-08-20T03:09:43Z Linear programming modelling of an integrated sugarcane microalgal biofuel plant Gue, Ivan Henderson V. Ubando, Aristotle T. Aguilar, Kyle Darryl T. Manrique, Robby B. Cuello, Joel L. Culaba, Alvin B. One of the current trends for sustainable energy production is microalgal biofuel. It offers a fast-growing feedstock with high oil yield per land area. The current challenge of microalgal biofuel is in its economic competitiveness, because of its high production costs relative to fossil-based fuels. Unique solutions have been proposed to address this issue. One solution focuses on the integration of its production process with another industrial process, such as integration to sugarcane mills. The integration of microalgal biofuel production to the sugar industry can act as a support for the former to be an attractive investment. Several studies have assessed such integration can lead to reduced fossil fuel dependence and reduced environmental impacts. In this study, we utilize linear programming modeling to generate two optimized designs of an integrated system. Both designs focus on maximizing the revenue of the integrated plant. The latter is designed to maximize the revenue with zero carbon emission. Results yield for the prior design had an increased revenue for the sugarcane mill by 4.23% with a drawback of a 7-fold increase in carbon emission. The latter design is able to achieve zero carbon emission with a reduced revenue of 7.68%. This study aims to provide plant designers a methodology to synthesize and assess the integration of a microalgae biofuel plant with the sugarcane ethanol plant. © 2017 IEEE. 2017-07-02T07:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/2245 https://animorepository.dlsu.edu.ph/context/faculty_research/article/3244/type/native/viewcontent Faculty Research Work Animo Repository Biodiesel fuels Microalgae Biomass energy Sugarcane Energy Systems Mechanical Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Biodiesel fuels
Microalgae
Biomass energy
Sugarcane
Energy Systems
Mechanical Engineering
spellingShingle Biodiesel fuels
Microalgae
Biomass energy
Sugarcane
Energy Systems
Mechanical Engineering
Gue, Ivan Henderson V.
Ubando, Aristotle T.
Aguilar, Kyle Darryl T.
Manrique, Robby B.
Cuello, Joel L.
Culaba, Alvin B.
Linear programming modelling of an integrated sugarcane microalgal biofuel plant
description One of the current trends for sustainable energy production is microalgal biofuel. It offers a fast-growing feedstock with high oil yield per land area. The current challenge of microalgal biofuel is in its economic competitiveness, because of its high production costs relative to fossil-based fuels. Unique solutions have been proposed to address this issue. One solution focuses on the integration of its production process with another industrial process, such as integration to sugarcane mills. The integration of microalgal biofuel production to the sugar industry can act as a support for the former to be an attractive investment. Several studies have assessed such integration can lead to reduced fossil fuel dependence and reduced environmental impacts. In this study, we utilize linear programming modeling to generate two optimized designs of an integrated system. Both designs focus on maximizing the revenue of the integrated plant. The latter is designed to maximize the revenue with zero carbon emission. Results yield for the prior design had an increased revenue for the sugarcane mill by 4.23% with a drawback of a 7-fold increase in carbon emission. The latter design is able to achieve zero carbon emission with a reduced revenue of 7.68%. This study aims to provide plant designers a methodology to synthesize and assess the integration of a microalgae biofuel plant with the sugarcane ethanol plant. © 2017 IEEE.
format text
author Gue, Ivan Henderson V.
Ubando, Aristotle T.
Aguilar, Kyle Darryl T.
Manrique, Robby B.
Cuello, Joel L.
Culaba, Alvin B.
author_facet Gue, Ivan Henderson V.
Ubando, Aristotle T.
Aguilar, Kyle Darryl T.
Manrique, Robby B.
Cuello, Joel L.
Culaba, Alvin B.
author_sort Gue, Ivan Henderson V.
title Linear programming modelling of an integrated sugarcane microalgal biofuel plant
title_short Linear programming modelling of an integrated sugarcane microalgal biofuel plant
title_full Linear programming modelling of an integrated sugarcane microalgal biofuel plant
title_fullStr Linear programming modelling of an integrated sugarcane microalgal biofuel plant
title_full_unstemmed Linear programming modelling of an integrated sugarcane microalgal biofuel plant
title_sort linear programming modelling of an integrated sugarcane microalgal biofuel plant
publisher Animo Repository
publishDate 2017
url https://animorepository.dlsu.edu.ph/faculty_research/2245
https://animorepository.dlsu.edu.ph/context/faculty_research/article/3244/type/native/viewcontent
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