Dr. Benoit Chachuat
Adjunct Professor
Department of Chemical Engineering

Voice: +44 (0) 20 7594 5594
email: b.chachuat@imperial.ac.uk

  • Dipl. Eng., Environmental Engineering, ENGEES, Strasbourg (France), 1998
  • M.Sc., Engineering and Technology, Louis Pasteur University, Strasbourg (France), 1998
  • Ph.D., Chemical Engineering, CNRS, Nancy (France), 2001
  • Postdoctoral Associate, Comore Group, INRIA, Sophia Antipolis (France), 2002-2003
  • Postdoctoral Associate, Barton Group, MIT, Cambridge (MA), 2003-2005
  • Res. Assoc. Automatic Control Lab, EPFL, Lausanne (Swizlerland), 2005-2008

Research Interests

The research interests of our research group are in the general area of Process Systems Engineering (PSE), with emphasis on global optimization, optimization-based process control, and numerical computation. Our primary research objective is to develop new methods, concepts and tools for the fast and reliable optimization of transient process systems. Applications in the field of process design and operations aim to develop safe, environmentally and economically sustainable (bio)chemical processes, such as micro power generation, biodiesel from microalgae, and wastewater treatment. Other applications are in the field of signal transduction in systems biology.

Representative on-going projects in our lab include:

  1. Global Optimization of Transient Processes. Dynamic optimization problems encountered in chemical engineering exhibit multiple suboptimal solution almost pathologically. We are investigating deterministic global optimization methods, which have the appealing property that finite convergence to a global optimum, at an arbitrary precision, can be guaranteed in a finite number of steps.

  2. Dynamic Real-time Optimization. Challenges in real-time process optimization mainly arise from the inability to build and adapt accurate models for complex systems. In this research, we investigate different ways of using input/output data to compensate for model uncertainty in process optimization (both steady-state and dynamic), thereby promoting convergence to a process optimum.

Selected Publications

Chachuat, B., B. Srinivasan, and D. Bonvin, “Adaptation Strategies for Real-Time Optimization”, Computers and Chemical Engineering, 33(10):1557-1567, 2009.

Mitsos, A., B. Chachuat, and P.I. Barton, “Towards Global Bilevel Dynamic Optimization”, Journal of Global Optimization, 45(1):63-93, 2009.

Marchetti, A., B. Chachuat, and D. Bonvin, “Modifier-Adaptation Methodology for Real-Time Optimization”,Industrial and Engineering Chemistry Research, 48(13):6022-6033, 2009.

Michalik, C., B. Chachuat, and W. Marquardt, “Incremental Global Parameter Estimation in Dynamical Systems”,Industrial and Engineering Chemistry Research, 48(11):5489-5497, 2009.

Mitsos, A., B. Chachuat, and P.I. Barton, “McCormick-Based Relaxations of Algorithms”, SIAM Journal on Optimization, 20(2):573-601, 2009.

Gros, S., B. Srinivasan, B. Chachuat, and D. Bonvin “Neighboring-Extremal Control for Singular Dynamic Optimisation Problems. I-Single Input CaseInternational Journal of Control, 82(6):1099:1112, 2009.

Gros, S., B. Chachuat, and D. Bonvin “Neighboring-Extremal Control for Singular Dynamic Optimisation Problems. II-Multiple Input CaseInternational Journal of Control, 82(7):1193-1211, 2009.

Chachuat, B. “Optimal design and Steady-State OperationIn: A. Mitsos, and P. I. Barton, Eds.,Microfabricated Power Generation Devices: Design and Technology, Wiley-VCH,Chapter 11, pp. 199-222, 2009.

Yunt, M., B. Chachuat, A. Mitsos, and P. I. Barton “Designing Man-Portable Power Generation Systems for Varying Power DemandAIChE Journal, 54(5):1254-1269, 2008.

Chachuat, B., A. Marchetti, and D. Bonvin “Process optimization via constraint adaptationJournal of Process Control, 18(3-4):244-257, 2008.

Chachuat, B., and P. I. Barton “Numerical Simulation of a Class of PDAEs with a Separation of Time ScalesIn: L. L. Bonilla, M. Moscoso, G. Platero, and J. M. Vega, Eds.,Progress in Industrial Mathematics at ECMI 2006,Springer, pp. 512-517, 2008.

Mitsos, A., B. Chachuat, and P. I. Barton “Methodology for the Design of Man-Portable Power Generation DevicesIndustrial and Engineering Chemistry Research, 46(22):7164-7176, 2007.

Bernard, O., B. Chachuat, A. Helias, and J. Rodriguez “Can we assess the model complexity for a bioprocess: theory and example of the anaerobic digestion processWater Science and Technology, 53(1):85-92, 2006.

Chachuat, B., and O. Bernard “Probabilistic observers for a class of uncertain biological processesInternational Journal of Robust and Nonlinear Control, 16(3):157-171, 2006.

Chachuat, B., A. B. Singer, and P. I. Barton “Global Solution of Dynamic Optimization and Mixed-Integer Dynamic OptimizationIndustrial and Engineering Chemistry Research, 45(25):8373-8392, 2006.

Chachuat, B., Roche N., and M. A. Latifi “Optimal aeration control of industrial alternating activated sludge plantsBiochemical Engineering Journal, 23(3):277-289, 2005.

Chachuat, B., A. B. Singer, and P. I. Barton “Global mixed-integer dynamic optimizationAIChE Journal,51(8):2235-2253, 2005.

Chachuat, B., A. Mitsos, and P. I. Barton “Optimal design and steady-state operation of micro power generation employing fuel cellsChemical Engineering Science, 60(16):4535-4556, 2005.

Chachuat, B., N. Roche, and R. Latifi “A new approach in deterministic global optimisation of problems with ordinary differential equationsIn: C. A. Floudas, and P. M. Pardalos, Eds.,Frontiers in Global Optimization, Kluwer Academic Publishers,p. 83-108, 2003.

Chachuat, B., N. Roche, and R. Latifi “Dynamic optimisation of small size wastewater treatment plants including nitrification and denitrification processesComputers and Chemical Engineering, 25(4-6):585-593, 2001.


GDOC: A Symbolic and Numeric Library for Global Dynamic Optimization

libMC: A Numeric Library for McCormick Relaxation of Factorable functions