Optimal integration of a biomass-based polygeneration system in an iron production plant for negative carbon emissions

The iron industry is an energy-intensive sector and a major contributor to global carbon dioxide emissions. With the projected increase in the demand for iron as raw material, the industry seeks ways to improve sustainability. The incorporation of a biomass-based polygeneration system (BBPS) is a su...

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Main Authors: Ubando, Aristotle T., Chen, Wei Hsin, Tan, Raymond Girard R., Naqvi, Salman Raza
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Published: Animo Repository 2019
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2223
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-32222022-08-11T05:41:08Z Optimal integration of a biomass-based polygeneration system in an iron production plant for negative carbon emissions Ubando, Aristotle T. Chen, Wei Hsin Tan, Raymond Girard R. Naqvi, Salman Raza The iron industry is an energy-intensive sector and a major contributor to global carbon dioxide emissions. With the projected increase in the demand for iron as raw material, the industry seeks ways to improve sustainability. The incorporation of a biomass-based polygeneration system (BBPS) is a sustainable approach to generate the needed utilities of the iron plant. Biomass can be converted thermochemically into fuel gas for use in the plant, while the resulting biochar can be utilized for carbon sequestration. A multiobjective optimization model using fuzzy linear programming (FLP) is developed to seamlessly integrate a BBPS in an iron plant while obtaining negative carbon emissions. The FLP model simultaneously satisfied the product demands while maximizing the annual profit and minimizing the carbon footprint of the iron manufacturing plant. A sensitivity study is performed to gauge the effects of uncertainties of the prices of product streams and capital costs together. The best configuration of the integrated BBPS and the iron production plant are determined using this approach, resulting in 2.7 million tons CO2 y−1 of negative carbon emission. The reduction of the carbon footprint upper threshold target by 80% has shown a 34.15% improvement on the negative carbon footprint and 1.81% enhancement on the annualized capital cost of the plant. The change in the biomass price had a significant effect on the Pareto frontier of the level of satisfaction compared with the change in the coal and iron ore prices. The varied capital cost of the gasification had a relatively significant influence to the annualized profit of the plant compared with the varied capital cost of the other polygeneration processes. © 2019 John Wiley & Sons, Ltd. 2019-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/2223 Faculty Research Work Animo Repository Biochar Polygeneration systems Pyrolysis Carbon dioxide mitigation Linear programming Energy Systems Mechanical Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Biochar
Polygeneration systems
Pyrolysis
Carbon dioxide mitigation
Linear programming
Energy Systems
Mechanical Engineering
spellingShingle Biochar
Polygeneration systems
Pyrolysis
Carbon dioxide mitigation
Linear programming
Energy Systems
Mechanical Engineering
Ubando, Aristotle T.
Chen, Wei Hsin
Tan, Raymond Girard R.
Naqvi, Salman Raza
Optimal integration of a biomass-based polygeneration system in an iron production plant for negative carbon emissions
description The iron industry is an energy-intensive sector and a major contributor to global carbon dioxide emissions. With the projected increase in the demand for iron as raw material, the industry seeks ways to improve sustainability. The incorporation of a biomass-based polygeneration system (BBPS) is a sustainable approach to generate the needed utilities of the iron plant. Biomass can be converted thermochemically into fuel gas for use in the plant, while the resulting biochar can be utilized for carbon sequestration. A multiobjective optimization model using fuzzy linear programming (FLP) is developed to seamlessly integrate a BBPS in an iron plant while obtaining negative carbon emissions. The FLP model simultaneously satisfied the product demands while maximizing the annual profit and minimizing the carbon footprint of the iron manufacturing plant. A sensitivity study is performed to gauge the effects of uncertainties of the prices of product streams and capital costs together. The best configuration of the integrated BBPS and the iron production plant are determined using this approach, resulting in 2.7 million tons CO2 y−1 of negative carbon emission. The reduction of the carbon footprint upper threshold target by 80% has shown a 34.15% improvement on the negative carbon footprint and 1.81% enhancement on the annualized capital cost of the plant. The change in the biomass price had a significant effect on the Pareto frontier of the level of satisfaction compared with the change in the coal and iron ore prices. The varied capital cost of the gasification had a relatively significant influence to the annualized profit of the plant compared with the varied capital cost of the other polygeneration processes. © 2019 John Wiley & Sons, Ltd.
format text
author Ubando, Aristotle T.
Chen, Wei Hsin
Tan, Raymond Girard R.
Naqvi, Salman Raza
author_facet Ubando, Aristotle T.
Chen, Wei Hsin
Tan, Raymond Girard R.
Naqvi, Salman Raza
author_sort Ubando, Aristotle T.
title Optimal integration of a biomass-based polygeneration system in an iron production plant for negative carbon emissions
title_short Optimal integration of a biomass-based polygeneration system in an iron production plant for negative carbon emissions
title_full Optimal integration of a biomass-based polygeneration system in an iron production plant for negative carbon emissions
title_fullStr Optimal integration of a biomass-based polygeneration system in an iron production plant for negative carbon emissions
title_full_unstemmed Optimal integration of a biomass-based polygeneration system in an iron production plant for negative carbon emissions
title_sort optimal integration of a biomass-based polygeneration system in an iron production plant for negative carbon emissions
publisher Animo Repository
publishDate 2019
url https://animorepository.dlsu.edu.ph/faculty_research/2223
_version_ 1740844763831074816