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

Authors

Aristotle T. Ubando, De La Salle University, Manila
Alvin B. Culaba, De La Salle University, Manila
Kathleen B. Aviso, De La Salle University, Manila
Denny K.S. Ng, The University of Nottingham Malaysia Campus
Raymond Girard R. Tan, De La Salle University, Manila

College

Gokongwei College of Engineering

Department/Unit

Mechanical Engineering

Document Type

Article

Source Title

Clean Technologies and Environmental Policy

Volume

16

Issue

8

First Page

1537

Last Page

1549

Publication Date

1-1-2014

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. © 2014 Springer-Verlag Berlin Heidelberg.

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Digitial Object Identifier (DOI)

10.1007/s10098-014-0721-z

Recommended Citation

Ubando, A. T., Culaba, A. B., Aviso, K. B., Ng, D. K., & Tan, R. R. (2014). Fuzzy mixed-integer linear programming model for optimizing a multi-functional bioenergy system with biochar production for negative carbon emissions. Clean Technologies and Environmental Policy, 16 (8), 1537-1549. https://doi.org/10.1007/s10098-014-0721-z

Disciplines

Energy Systems

Keywords

Biomass energy; Biochar; Carbon sequestration; Polygeneration systems

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