Fuzzy mixed-integer linear programming model for optimizing a multi-functional bioenergy system with biochar production for negative carbon emissions

Aristotle T. Ubando, Alvin B. Culaba, Kathleen B. Aviso, Denny K. S. Ng, Raymond R. Tan

Research output: Contribution to journalArticle

48 Citations (Scopus)

Abstract

A multi-functional bioenergy system is an efficient way for producing multiple energy products from biomass, which results in near-zero carbon emissions. To achieve net negative carbon emissions, biochar production as carbon sequestration can be integrated in the system. A fuzzy mixed-integer linear programming model is developed to simultaneously design and optimize a multi-functional bioenergy system given multiple product demands, carbon footprint, and economic performance constraints. Case studies are presented involving multi-functional bioenergy systems with biochar production for carbon sequestration. The results show that net negative carbon footprint can be achieved in such systems.

Original languageEnglish
Pages (from-to)1537-1549
Number of pages13
JournalClean Technologies and Environmental Policy
Volume16
Issue number8
DOIs
Publication statusPublished - Dec 2014

Keywords

  • Biochar
  • Integrated biorefinery
  • Multi-functional energy system
  • Negative carbon emissions
  • Polygeneration

ASJC Scopus subject areas

  • Environmental Engineering
  • Environmental Chemistry
  • Management, Monitoring, Policy and Law

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