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Cost Effective Analysis of Reducing SO2 Emissions from Power Plants

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dc.contributor.advisor Chaaban, Farid
dc.contributor.author Kheir, Jamal
dc.date.accessioned 2023-05-08T05:34:56Z
dc.date.available 2023-05-08T05:34:56Z
dc.date.issued 5/8/2023
dc.date.submitted 5/7/2023
dc.identifier.uri http://hdl.handle.net/10938/24032
dc.description.abstract The aim of this work is to present and assess four alternatives for reducing sulfur dioxide emissions from thermal power plants. The 4 alternatives include using low-sulfur content fuels, installing flue gas desulfurization systems, switching to natural gas, and partially shifting to PV power. An economic model was established to assess which of the alternatives is the most feasible. The model involves all costs and revenues associated with each of the alternatives. The model was also applied to the Zouk Lebanese power plant. As there were plenty of uncertainties associated with various parameters, one-way and multiple sensitivity analysis were carried to assess which of the parameters had the biggest effect on the choice of technology to be used. Results revealed that the natural gas alternative is the most economical for the Lebanese case in most scenarios. This alternative would be more appealing if this natural resource is found in Lebanese offshore territories, saving millions of dollars in purchasing and transporting.
dc.language.iso en_US
dc.subject energy
dc.subject emissions
dc.subject sulfur dioxide
dc.subject economic feasibility
dc.subject reducing sulfur dioxide emissions
dc.subject economic model
dc.subject power plant
dc.subject sensitivity analysis
dc.title Cost Effective Analysis of Reducing SO2 Emissions from Power Plants
dc.type Thesis
dc.contributor.department Department of Mechanical Engineering
dc.contributor.faculty Maroun Semaan Faculty of Engineering and Architecture
dc.contributor.institution American University of Beirut
dc.contributor.commembers Ghaddar, Nesreen
dc.contributor.commembers Abou Ghali, Kamel
dc.contributor.degree MS
dc.contributor.AUBidnumber 202124807


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