Fuzzy mixed-integer linear programming model for optimizing a multi-functional bioenergy system with biochar production for negative carbon emissions
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...
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| Main Authors: | , , , , |
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| Format: | text |
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Animo Repository
2014
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/2224 https://animorepository.dlsu.edu.ph/context/faculty_research/article/3223/type/native/viewcontent |
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| Institution: | De La Salle University |
| Summary: | 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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