Linear programming modelling of an integrated sugarcane microalgal biofuel plant

Ivan Henderson V. Gue, Aristotle T. Ubando, Kyle Darryl T. Aguilar, Robby B. Manrique, Joel L. Cuello, Alvin B. Culaba

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

Abstract

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.

Original languageEnglish (US)
Title of host publicationHNICEM 2017 - 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781538609101
DOIs
StatePublished - Jul 2 2017
Event9th IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2017 - Manila, Philippines
Duration: Nov 29 2017Dec 1 2017

Publication series

NameHNICEM 2017 - 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management
Volume2018-January

Other

Other9th IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2017
CountryPhilippines
CityManila
Period11/29/1712/1/17

Keywords

  • biodiesel
  • ethanol
  • linear programming
  • microalgae
  • sugarcane mill

ASJC Scopus subject areas

  • Ecological Modeling
  • Management, Monitoring, Policy and Law
  • Computer Networks and Communications
  • Computer Science Applications
  • Human-Computer Interaction
  • Information Systems
  • Control and Optimization
  • Artificial Intelligence

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  • Cite this

    Gue, I. H. V., Ubando, A. T., Aguilar, K. D. T., Manrique, R. B., Cuello, J. L., & Culaba, A. B. (2017). Linear programming modelling of an integrated sugarcane microalgal biofuel plant. In HNICEM 2017 - 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (pp. 1-5). (HNICEM 2017 - 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HNICEM.2017.8269448