A5043482852- Advanced Control Systems Optimization
- Supply Chain and Inventory Management
- Scheduling and Optimization Algorithms
- Process Optimization and Integration
- Phase Equilibria and Thermodynamics
- Carbon Dioxide Capture Technologies
- Advanced Queuing Theory Analysis
- Simulation Techniques and Applications
- Model Reduction and Neural Networks
- Optimization and Mathematical Programming
- Probabilistic and Robust Engineering Design
- Polymer Surface Interaction Studies
- Nanoparticle-Based Drug Delivery
- Advanced Statistical Process Monitoring
- Semiconductor Lasers and Optical Devices
- Management of metastatic bone disease
- Advanced Optical Network Technologies
- Reliability and Maintenance Optimization
- Gas Dynamics and Kinetic Theory
- Oil and Gas Production Techniques
- Glioma Diagnosis and Treatment
- Risk and Safety Analysis
- Manufacturing Process and Optimization
- Membrane Separation and Gas Transport
- Transportation Planning and Optimization
University of Cambridge
2019
Freeport-McMoRan (United States)
2016-2017
Dow Chemical (United States)
2012-2017
Dow Chemical (India)
2013-2014
Carnegie Mellon University
2008-2011
Dynamic Systems (United States)
2008-2009
National Energy Technology Laboratory
2008-2009
Indian Institute of Technology Delhi
2007-2008
Louisiana Tech University
2008
UPMC Hillman Cancer Center
2004-2005
Abstract Recent developments have shown pressure/vacuum swing adsorption (PSA/VSA) to be a promising option effectively capture CO 2 from flue gas streams. In most commercial PSA cycles, the weakly adsorbed component in mixture is desired product, and enriching strongly not concern. On other hand, it necessary concentrate high purity reduce sequestration costs minimize safety environmental risks. Thus, develop processes specifically targeted obtain pure component. A multitude of PSA/VSA...
Over the past three decades, pressure swing adsorption (PSA) processes have been widely used as energy-efficient gas separation techniques, especially for high purity hydrogen purification from refinery gases. Models PSA are multiple instances of partial differential equations (PDEs) in time and space with periodic boundary conditions that link processing steps together. The solution this coupled stiff PDE system is governed by steep fronts moving time. As a result, optimization such systems...
Pressure/vacuum swing adsorption (PSA/VSA) technology has been widely applied for H2 production from the effluent streams of a shift converter, which predominantly comprises and CO2 with other trace components. It also offers significant advantages precombustion capture in terms performance, energy requirements, operating costs since shifted synthesis gas (syngas) is available separation at high pressure concentration. Most commercial PSA cycles have developed to recover very purity do not...
In some multitubular packed bed catalytic reactors, a graded reactor activity profile in the axial direction is created by loading with mixtures of active and inert pellets. This technique developed to balance reaction heat generation removal capacities potentially improve performance. this study, we propose model-based mathematical optimization approach systematically design optimal profile, taking partial oxidation ortho-xylene as example. To carry out task, multizone formulation where...
Motivated by a real-world industrial problem, this work deals with the integration of planning and scheduling in operation network batch plants. The consists single-stage, multiproduct plants located different sites, which can exchange intermediate products order to blend them obtain finished products. time horizon is given divided into multiple periods, at end which, customer demands have be exactly satisfied. model simplified aggregate formulation derived from detailed precedence-based...
We propose two data-driven, optimization-based frameworks (simulation-optimization and bi-objective optimization) to account for production variability in the operations planning stage of sales (S&OP) an enterprise. Production is measured as deviation between historical planned (target) actual (achieved) rates. A statistical technique, namely, quantile regression, used model distribution values given Scenarios are constructed by sampling from inputs proposed frameworks. Advantages...
Modeling and optimization of multi-echelon supply chain systems is challenging as it requires a holistic approach that exploits synergies interactions between echelons while accurately accounting for variability observed by these systems. We develop simulation-optimization framework minimizes average inventory maintaining desired $β$ service level at stocking locations. use discrete-event simulation to capture system interactions. Instead parametric estimation approach, the demand lead time...
In optimization problems, often equations and inequalities are represented using if-else (implication) construct which is known to be equivalent a disjunction. Such statements modeled incorporated in an problem Generalized Disjunctive Programming (GDP). GDP provides systematic methodology model problems involving logic disjunctions, propositions, algebraic equations. order take advantage of the existing MINLP solvers, can reformulated as standard problems. this work we propose novel...