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AuthorBechara, Christelle
AuthorAlnouri, Sabla Y.
Available date2024-03-30T11:05:22Z
Publication Date2023-01-01
Publication NameComputer Aided Chemical Engineering
Identifierhttp://dx.doi.org/10.1016/B978-0-443-15274-0.50002-0
CitationBechara, C., & Alnouri, S. Y. (2023). GHG emission reduction via multiple fuel options in carbon-constrained industrial clusters. In Computer Aided Chemical Engineering (Vol. 52, pp. 7-12). Elsevier.‏
ISSN15707946
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85166296456&origin=inward
URIhttp://hdl.handle.net/10576/53725
AbstractThis paper primarily investigates the effect of incorporating multiple fuel options onto carbon constrained industrial clusters. The purpose of doing so was to maximize the profit through the optimal allocation of multiple types of fuel. The cluster consists of a number of different production plants and a power plant for the processing of value-added products as well as the generation of electricity. The power plant is connected to the electric grid and constitutes the main source of electricity for the cluster. It also has the ability to produce more power and export it to the grid. The integration of additional plants that could generate new products, convert, or store carbon dioxide through CCUS technologies, and produce cleaner power through the use of renewable and/or multiple and blended fuels is assessed. It was found that the incorporation of multiple types of fuel within a single cluster resulted in the lowest post-capture emissions with 9469 t CO2/d generating a high-end profit of $907.16 million/y, when compared to cases which relied on a single fuel option only.
Languageen
PublisherElsevier B.V.
SubjectBiomass
Energy
Fuel
GHG Emissions
Industrial Clusters
TitleGHG emission reduction via multiple fuel options in carbon-constrained industrial clusters
TypeBook chapter
Pagination7-12
Volume Number52
dc.accessType Abstract Only


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