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Joakim Beck's Webpage

Photo of Joakim Beck
Postgraduate Researcher

Phone: +44 (0)20 7679 3836
Email: joakim.back.09@ucl.ac.uk
Address:
Department of Chemical Engineering
University College London
Torrington Place
London WC1E 7JE
United Kingdom

Joakim Beck obtained the degree MSc in Engineering Physics (Civilingenjör, Teknisk Fysik) at KTH Royal Institute of Technology in Stockholm, Sweden. He then carried out research on numerical methods for Partial Differential Equations (PDEs) with random coefficients. He joined the Chemical Engineering Department at UCL as a part of the EPSRC funded consortium Innovative Gas Separations for Carbon Capture (IGSCC).

Research project

Title: Optimal Design of Power Plants for CO2 Capture with Pressure Swing Adsorption

Supervisors: Professor Eric Fraga and Dr Serge Guillas (Department of Statistical Science)

There is a pressing need for development of cost efficient separation techniques suited for carbon capture in power plants to deal with the issue of global warming. Carbon Capture and Storage (CCS) is a well supported initiative that addresses the carbon capture in fossil fuel power plants and the consequential need to store and transport captured carbon to isolated locations.
A promising separation technique for CCS is Pressure Swing Adsorption, in short PSA. PSA is a cyclic adsorption process for gas separation and purification that has been installed in practise in the industry for applications such as air separation, hydrogen purification, and gas drying, and because of its low energy requirements it is considered to be a cheaper alternative than the traditional absorption techniques. The goal of this project is to address the computational challenges associated with the optimal design and integration of PSA in power plants for CO2 capture.

Selected Publications

  1. Bäck, J., Nobile, F., Tamellini, L., and Tempone, R. (2011). Stochastic spectral Galerkin and collocation methods for PDEs with random coefficients: a numerical comparison. In Hesthaven, J. S. and Rønquist, E. M., editors, Spectral and High Order Methods for Partial Differential Equations, volume 76 of Lecture Notes in Computational Science and Engineering, pages 43–62. Springer-Verlag Berlin Heidelberg. Selected papers from the ICOSAHOM ’09 conference, June 22-26 2009, Trondheim, Norway.
  2. Beck, J., Nobile, F., Tamellini, L., and Tempone, R. (2012). Implementation of optimal Galerkin and collocation approximations of PDEs with random coefficients. In Dobrzynski, C., Colin, T., and Abgrall, R., editors, ESAIM Proceedings, volume 33, pages 10–21. EDP Sciences. Proceedings of CANUM 2010, May 31 - June 4 2010, Carcans-Maubuisson, France.
  3. Beck, J., Friedrich, D., Brandani, S., Guillas, S., and Fraga, E. S. (2012). Surrogate based Optimisation for Design of Pressure Swing Adsorption Systems. In Bogle, I. D. L. and Fairweather, M., editors, Computer Aided Chemical Engineering, volume 30, pages 1217–1221. Elsevier, Amsterdam, The Netherlands. 22nd European Symposium on Computer Aided Process Engineering, June 17-20 2012, London, UK.
  4. Beck, J., Nobile, F., Tamellini, L., and Tempone, R. (2012). On the optimal polynomial approximation of stochastic PDEs by Galerkin and collocation methods. Mathematical Models and Methods in Applied Sciences, 22(09).
  5. Beck, J., Nobile, F., Tamellini, L., and Tempone, R. Convergence of quasi-optimal Stochastic Galerkin and Stochastic Sparse Grid Collocation Methods for a class of PDES with random coefficients. Submitted to Computers & Mathematics with Applications.
  6. Brown, S., Beck, J., Mahgerefteh, H., and Fraga, E. S. Global sensitivity analysis of the impact of impurities on CO2 pipeline failure. Submitted.


Page last modified on 21 sep 12 09:07