Biomass Processing Network Optimisation Using P-graph with Pareto Screening
A global movement is working towards emission reduction. Despite its availability, biomass is generally under-utilised due to various challenges, including financial factors. Convincing economic and environmental performances of biomass waste-to-wealth processing networks are needed to motivate inve...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIDIC Servizi S.r.l.
2024-12-01
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| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/15000 |
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| Summary: | A global movement is working towards emission reduction. Despite its availability, biomass is generally under-utilised due to various challenges, including financial factors. Convincing economic and environmental performances of biomass waste-to-wealth processing networks are needed to motivate investors and boost the implementation of biomass projects. In this work, the P-graph is combined with Pareto visualisation to optimise and screen biomass waste-to-wealth processing network to generate optimal models for investors’ selection. The selected optimal solution generates an annual gross profit of MYR 210 M and a total carbon emission of 69 kt CO2. This work aims to motivate the development of the biomass industry by providing a convincing statement to the palm industry and investors for investment and development. |
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| ISSN: | 2283-9216 |