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

• Main Authors: Ubando, Aristotle T., Culaba, Alvin B., Aviso, Kathleen B., Ng, Denny K.S., Tan, Raymond Girard R.
• Format: text
• Published: Animo Repository 2014
• Subjects: Biomass energy; Biochar; Carbon sequestration; Polygeneration systems; Energy Systems
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2224; https://animorepository.dlsu.edu.ph/context/faculty_research/article/3223/type/native/viewcontent
• Institution: De La Salle University

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. © 2014 Springer-Verlag Berlin Heidelberg.