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المؤلفBechara, Christelle
المؤلفAlnouri, Sabla Y.
تاريخ الإتاحة2024-03-30T11:05:22Z
تاريخ النشر2023-01-01
اسم المنشورComputer Aided Chemical Engineering
المعرّفhttp://dx.doi.org/10.1016/B978-0-443-15274-0.50002-0
الاقتباسBechara, 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.‏
الرقم المعياري الدولي للكتاب15707946
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85166296456&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/53725
الملخصThis 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.
اللغةen
الناشرElsevier B.V.
الموضوعBiomass
Energy
Fuel
GHG Emissions
Industrial Clusters
العنوانGHG emission reduction via multiple fuel options in carbon-constrained industrial clusters
النوعBook chapter
الصفحات7-12
رقم المجلد52
dc.accessType Abstract Only


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