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Title: Numerical modelling and uncertainty quantification of biodiesel filters
Author: Hristov, Peter O.
ISNI:       0000 0004 7658 1956
Awarding Body: University of Liverpool
Current Institution: University of Liverpool
Date of Award: 2018
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This dissertation explores the design and analysis of computer models for filters used to separate water from biodiesel. Regulations concerning air pollution and increasing fossil fuel scarcity mandate the transition towards biofuels. Moreover, increasingly stringent standards for fuel cleanliness are introduced continually. Biodiesel exhibits strong affinity towards water, which makes its separation from the fuel challenging. Water in the fuel can cause problems, ranging from reduced performance to significant damage to the equipment. A model of the filter is needed to substitute costly or impractical laboratory experiments and to enable the systematic studies of coalescence processes. These computational experiments provide a means for designing filtration equipment with optimal separation efficiency and pressure drop. The coalescence process is simulated using the lattice Boltzmann modelling framework. These models offer several advantages over conventional computational fluid dynamics solvers and are commonly used for the simulation of multiphase flows. Different versions of lattice Boltzmann models in two and three dimensions are created and used in this work. Complex computer models, such as those employed in this dissertation are considered expensive, in that their running times may prohibit any type of code analysis which requires many evaluations of the simulator to be performed. To alleviate this problem, a statistical metamodel known as a Gaussian process emulator is used. Once the computational cost of the model is reduced, uncertainty quantification methods and, in particular, sensitivity and reliability analyses are used to study its performance. Tools and packages for industrial use are developed in this dissertation to enable the practical application of the studies conducted in it.
Supervisor: Diaz De La O, Francisco Alejandro ; Kubiak, Krzysztof ; Farooq, Umer Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral