Multi-regional multi-objective optimization of an algal biofuel polygeneration supply chain with fuzzy mathematical programming

A polygeneration approach is proposed to improve the economic viability of algal biofuel production through simultaneous production of co-products (i.e. electricity, heat, and other biochemicals). A multi-regional polygeneration supply chain consists of various array of processing plants in producin...

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Main Authors: Ubando, Aristotle T., Culaba, Alvin B., Cuello, Joel L., El-Halwagi, Mahmoud M., Tan, Raymond Girard R.
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Published: Animo Repository 2014
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/1558
https://animorepository.dlsu.edu.ph/context/faculty_research/article/2557/type/native/viewcontent
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-25572021-09-27T09:21:55Z Multi-regional multi-objective optimization of an algal biofuel polygeneration supply chain with fuzzy mathematical programming Ubando, Aristotle T. Culaba, Alvin B. Cuello, Joel L. El-Halwagi, Mahmoud M. Tan, Raymond Girard R. A polygeneration approach is proposed to improve the economic viability of algal biofuel production through simultaneous production of co-products (i.e. electricity, heat, and other biochemicals). A multi-regional polygeneration supply chain consists of various array of processing plants in producing multiple bioenergy products given spatial constraints of each plant found in different regions. The inherent complexity of the polygeneration compounds the difficulty of designing the composite network of processing plants in multi-regions. Optimizing the design flow of the polygeneration supply chain considers multiple objectives, such as satisfying product demand, maximizing economic performance, and minimizing environmental footprint. In addition, the optimal strategic capacity design of the supply and distribution of biodiesel across multi-regions are considered. This study uses a fuzzy mathematical programming model to generate an optimized design of the polygeneration supply chain while satisfying all objectives. The developed model is demonstrated using a modified industrial case study comparing two cultivation alternatives. Results showed that all fuzzy multi-objective goals are satisfied and the flat-plate photobioreactor is the preferred cultivation system in terms of environmental footprints and economic performance. Copyright © 2014 by ASME. 2014-01-01T08:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/1558 https://animorepository.dlsu.edu.ph/context/faculty_research/article/2557/type/native/viewcontent Faculty Research Work Animo Repository Algal biofuels Polygeneration 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 Algal biofuels
Polygeneration systems
Mechanical Engineering
spellingShingle Algal biofuels
Polygeneration systems
Mechanical Engineering
Ubando, Aristotle T.
Culaba, Alvin B.
Cuello, Joel L.
El-Halwagi, Mahmoud M.
Tan, Raymond Girard R.
Multi-regional multi-objective optimization of an algal biofuel polygeneration supply chain with fuzzy mathematical programming
description A polygeneration approach is proposed to improve the economic viability of algal biofuel production through simultaneous production of co-products (i.e. electricity, heat, and other biochemicals). A multi-regional polygeneration supply chain consists of various array of processing plants in producing multiple bioenergy products given spatial constraints of each plant found in different regions. The inherent complexity of the polygeneration compounds the difficulty of designing the composite network of processing plants in multi-regions. Optimizing the design flow of the polygeneration supply chain considers multiple objectives, such as satisfying product demand, maximizing economic performance, and minimizing environmental footprint. In addition, the optimal strategic capacity design of the supply and distribution of biodiesel across multi-regions are considered. This study uses a fuzzy mathematical programming model to generate an optimized design of the polygeneration supply chain while satisfying all objectives. The developed model is demonstrated using a modified industrial case study comparing two cultivation alternatives. Results showed that all fuzzy multi-objective goals are satisfied and the flat-plate photobioreactor is the preferred cultivation system in terms of environmental footprints and economic performance. Copyright © 2014 by ASME.
format text
author Ubando, Aristotle T.
Culaba, Alvin B.
Cuello, Joel L.
El-Halwagi, Mahmoud M.
Tan, Raymond Girard R.
author_facet Ubando, Aristotle T.
Culaba, Alvin B.
Cuello, Joel L.
El-Halwagi, Mahmoud M.
Tan, Raymond Girard R.
author_sort Ubando, Aristotle T.
title Multi-regional multi-objective optimization of an algal biofuel polygeneration supply chain with fuzzy mathematical programming
title_short Multi-regional multi-objective optimization of an algal biofuel polygeneration supply chain with fuzzy mathematical programming
title_full Multi-regional multi-objective optimization of an algal biofuel polygeneration supply chain with fuzzy mathematical programming
title_fullStr Multi-regional multi-objective optimization of an algal biofuel polygeneration supply chain with fuzzy mathematical programming
title_full_unstemmed Multi-regional multi-objective optimization of an algal biofuel polygeneration supply chain with fuzzy mathematical programming
title_sort multi-regional multi-objective optimization of an algal biofuel polygeneration supply chain with fuzzy mathematical programming
publisher Animo Repository
publishDate 2014
url https://animorepository.dlsu.edu.ph/faculty_research/1558
https://animorepository.dlsu.edu.ph/context/faculty_research/article/2557/type/native/viewcontent
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