Dr Daniel Holland
University Lecturer in Sustainable Reaction Engineering
|Telephone||+44 (0)1223 (3)34767|
|Research group||Magnetic Resonance, Combustion, Catalysis|
|Themes||Modelling, Measurement, Processes|
Multi-phase flows lie at the heart of the chemical process industry in the production of fuels, foods, plastics, pharmaceuticals, agrochemicals and various detergent and speciality chemicals. Despite great advances having been made in the theory and modelling of complex systems, there remains a gulf between what we can describe rigorously using established principles of physics, chemistry and mathematics, and the real world of the chemical process. Currently we have no choice but to do much of the design by use of engineering correlations and empirical approaches. This lack of knowledge impacts on the ‘sustainability’ (i.e., the impact on the environment) of any given process. Process under-performance, or over-design, leads directly to increased energy consumption and hence greater CO2 emissions. My research aims to develop the next generation of tomographic imaging techniques to be applied in the field of chemical engineering research, with a particular focus on reducing energy demand in the chemical industries. Currently we are exploring the use of compressed sensing, sparse k-space sampling and Bayesian methods in magnetic resonance data acquisitions.
Research keywordsFluidisation, Multiphase Flow, MRI, Reaction Engineering, Sparse Sampling
Main collaboratorsMy major collaborator over the last 3 years has been Microsoft Research Cambridge. Support from Microsoft has directly resulted in 8 publications, 3 of which were co-authored by researchers at Microsoft, as well as numerous invited lectures by both Cambridge and Microsoft staff. The collaboration has also resulted in 2 patent applications, 1 of which is jointly held by Microsoft Research Cambridge. This collaboration also led to us hosting a Rank Symposium meeting in 2011.
D.J. Holland, M.J. Bostock, L.F. Gladden, D. Nietlispach “Fast NMR using Compressed Sensing,” Angewandte Chemie International Edition 50 (2011) 6548 –6551.
Z. Saghi, D.J. Holland, R. Leary, A. Falqui, G. Bertoni, A.J. Sederman, L.F. Gladden, P.A. Midgley "Three-Dimensional Morphology of Iron Oxide Nanoparticles with Reactive Concave Surfaces. A Compressed Sensing-Electron Tomography (CS-ET) Approach," Nano Letters, 11 (2011) 4666–4673.
D.J. Holland, A. Blake, A.B. Tayler, A.J. Sederman, L.F. Gladden, “A Bayesian approach to characterising multi-phase flows using magnetic resonance: Application to bubble flows” Journal of Magnetic Resonance, 209 (2011) 83-87.
D.J. Holland, D.M. Malioutov, A. Blake, A.J. Sederman, L.F. Gladden, “Reducing data acquisition times in
phase-encoded velocity imaging using compressed sensing” Journal of Magnetic Resonance 203 (2010) 236–246.
D.J. Holland, Q. Marashdeh, C.R. Müller, F. Wang, J.S. Dennis, L.S. Fan, L.F. Gladden, “Comparison of ECVT and MR measurements of voidage in a gas-fluidized bed,” Industrial and Engineering Chemistry Research 48 (2009) 172–181.
M.H. Sankey, D.J. Holland, A.J. Sederman, L.F. Gladden, “Magnetic resonance velocity imaging of liquid and gas two-phase flow in packed beds,” Journal of Magnetic Resonance, 196 (2009) 142-148.
D.J. Holland, C.R. Müller, J.S. Dennis, L.F. Gladden, A.J. Sederman, “Spatially resolved measurement of anisotropic granular temperature in gas-fluidised beds,” Powder Technology 182 (2007) 171-181.
B.S. Akpa, D.J. Holland, A.J. Sederman, M.L. Johns, L.F. Gladden, “Enhanced 13C PFG NMR for the study of hydrodynamic dispersion in porous media,” Journal of Magnetic Resonance 186 (2007) 123–128.
D.J. Holland, U.M. Scheven, A.P.J. Middelberg, L.F. Gladden, “Quantifying transport within a porous medium over a hierarchy of length scales,” Physics of Fluids, 18 (2006) 033102.