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

Aristotle T. Ubando, Alvin B. Culaba, Joel L Cuello, Mahmoud M. El-Halwagi, Raymond R. Tan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Title of host publicationASME 2014 8th International Conference on Energy Sustainability, ES 2014 Collocated with the ASME 2014 12th International Conference on Fuel Cell Science, Engineering and Technology
PublisherWeb Portal ASME (American Society of Mechanical Engineers)
Volume2
ISBN (Print)9780791845875
DOIs
StatePublished - 2014
EventASME 2014 8th International Conference on Energy Sustainability, ES 2014 Collocated with the ASME 2014 12th International Conference on Fuel Cell Science, Engineering and Technology - Boston, United States
Duration: Jun 30 2014Jul 2 2014

Other

OtherASME 2014 8th International Conference on Energy Sustainability, ES 2014 Collocated with the ASME 2014 12th International Conference on Fuel Cell Science, Engineering and Technology
CountryUnited States
CityBoston
Period6/30/147/2/14

Fingerprint

Mathematical programming
Biofuels
Multiobjective optimization
Supply chains
Economics
Photobioreactors
Processing
Biodiesel
Electricity
Composite materials

Keywords

  • Algal biofuels
  • Footprint
  • Multi-objective optimization
  • Polygeneration
  • Supply-chain

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

Cite this

Ubando, A. T., Culaba, A. B., Cuello, J. L., El-Halwagi, M. M., & Tan, R. R. (2014). Multi-regional multi-objective optimization of an algal biofuel polygeneration supply chain with fuzzy mathematical programming. In ASME 2014 8th International Conference on Energy Sustainability, ES 2014 Collocated with the ASME 2014 12th International Conference on Fuel Cell Science, Engineering and Technology (Vol. 2). Web Portal ASME (American Society of Mechanical Engineers). https://doi.org/10.1115/ES2014-6461

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 R.

ASME 2014 8th International Conference on Energy Sustainability, ES 2014 Collocated with the ASME 2014 12th International Conference on Fuel Cell Science, Engineering and Technology. Vol. 2 Web Portal ASME (American Society of Mechanical Engineers), 2014.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ubando, AT, Culaba, AB, Cuello, JL, El-Halwagi, MM & Tan, RR 2014, Multi-regional multi-objective optimization of an algal biofuel polygeneration supply chain with fuzzy mathematical programming. in ASME 2014 8th International Conference on Energy Sustainability, ES 2014 Collocated with the ASME 2014 12th International Conference on Fuel Cell Science, Engineering and Technology. vol. 2, Web Portal ASME (American Society of Mechanical Engineers), ASME 2014 8th International Conference on Energy Sustainability, ES 2014 Collocated with the ASME 2014 12th International Conference on Fuel Cell Science, Engineering and Technology, Boston, United States, 6/30/14. https://doi.org/10.1115/ES2014-6461
Ubando AT, Culaba AB, Cuello JL, El-Halwagi MM, Tan RR. Multi-regional multi-objective optimization of an algal biofuel polygeneration supply chain with fuzzy mathematical programming. In ASME 2014 8th International Conference on Energy Sustainability, ES 2014 Collocated with the ASME 2014 12th International Conference on Fuel Cell Science, Engineering and Technology. Vol. 2. Web Portal ASME (American Society of Mechanical Engineers). 2014 https://doi.org/10.1115/ES2014-6461
Ubando, Aristotle T. ; Culaba, Alvin B. ; Cuello, Joel L ; El-Halwagi, Mahmoud M. ; Tan, Raymond R. / Multi-regional multi-objective optimization of an algal biofuel polygeneration supply chain with fuzzy mathematical programming. ASME 2014 8th International Conference on Energy Sustainability, ES 2014 Collocated with the ASME 2014 12th International Conference on Fuel Cell Science, Engineering and Technology. Vol. 2 Web Portal ASME (American Society of Mechanical Engineers), 2014.
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