A5024814127- Carbon Dioxide Capture Technologies
- Process Optimization and Integration
- Phase Equilibria and Thermodynamics
- Numerical methods for differential equations
- Hybrid Renewable Energy Systems
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Advanced Numerical Methods in Computational Mathematics
- Integrated Energy Systems Optimization
- Industrial Gas Emission Control
- Thermodynamic properties of mixtures
- Chemistry and Chemical Engineering
- Advanced Control Systems Optimization
- Catalysts for Methane Reforming
- Chemical Looping and Thermochemical Processes
- Refrigeration and Air Conditioning Technologies
- Water Quality Monitoring and Analysis
- Advanced Multi-Objective Optimization Algorithms
- Electromagnetic Simulation and Numerical Methods
- Dark Matter and Cosmic Phenomena
- Computational Fluid Dynamics and Aerodynamics
- Advanced battery technologies research
- Chemical Thermodynamics and Molecular Structure
- Material Dynamics and Properties
- Radiation Detection and Scintillator Technologies
- Quantum chaos and dynamical systems
Massachusetts Institute of Technology
2019-2024
IIT@MIT
2023
Imperial College London
2002-2022
Centre for Process Innovation
2016
TGS (United Kingdom)
2006
University of Waterloo
1999
Proton Exchange Membrane (PEM) electrolysis is a promising pathway for producing low-carbon hydrogen via coupled to variable renewable energy (VRE). This study introduces physics-based PEM electrolyzer model into an integrated design and scheduling optimization routine, allowing comprehensive evaluation of the impact reactor level metrics (e.g., cathode pressure current density) on levelized cost (LCOH) across various cost, technology, electricity supply scenarios. Benefits static versus...
Optimization of a natural gas power plant with integrated calcium looping, membrane and cryogenic CO 2 separation, DAC for negative emissions.
A significant effort is under way to identify improved solvents for carbon dioxide (CO 2 ) capture by chemisorption.We develop a predictive framework that applicable aqueous solvent + CO mixtures containing cyclic amines, alkyl polyamines, and alkanolamines.A number of the studied exhibit liquid-liquid phase separation, behaviour has shown promise in reducing energetic cost capture.The proposed based on SAFT- Mie group-contribution (GC) approach, which chemical reactions are described via...
Predictive models play an important role in the design of post-combustion processes for capture carbon dioxide (CO2) emitted from power plants. A rate-based absorber model is presented to investigate reactive CO2 using aqueous monoethanolamine (MEA) as a solvent, integrating predictive molecular-based equation state: SAFT-VR SW (Statistical Associating Fluid Theory-Variable Range, Square Well). distinctive physical approach adopted chemical equilibria inherent process. This eliminates need...
Future generations of liquid scintillator neutrino experiments will require stably loading tons candidate isotopes into kiloton-scale detectors while controlling the scintillator's optical properties. Nanoparticles' unique structural properties allow them to be used as highly-tunable wavelength shifters, which can enhance double beta decay detection and background discrimination. Additionally, these nanoparticles made with isotopes, offers a promising method for isotope loading. Perovskite...
Abstract This paper investigates the relationship between energy‐ and momentum‐conserving time‐integration scheme of Simo Gonzalez ( Papers—American Society Mechanical Engineers—All Series , 1993; 93 (4)) a due to Betsch Steinmann Int. J. Numer. Meth. Engng 2000; 49 : 599) for N‐body problems. The schemes are shown be identical if potential energy interaction masses is polynomial function distances masses, degree two or lower. In addition, they recover same relative equilibria. Copyright ©...
The determination of a suitable set molecular interaction parameters for use with an equation state (EoS) can be viewed as multi-objective optimization (MOO) problem, where each objective quantifies the quality description particular type thermodynamic property. We outline methodology Pareto-optimal parameters. Pareto front is generated efficiently using sandwich algorithm one solves sequence weighted-sum scalarized single problems. presented used any number functions, allowing consideration...
Finite element models of linear elasticity arise in many application areas structural analysis. Solving the resulting system equations accounts for a large portion total cost large, three-dimensional models, which direct methods can be prohibitively expensive. Preconditioned Conjugate Gradient (PCG) are used to solve difficult problems with small (≪1) average aspect ratios. Incomplete Cholesky (ILLT) factorizations based on drop tolerance parameter form preconditioning matrices. Various new...
Coarse-grained models of polyaromatic hydrocarbons parametrized by employing the SAFT-γ Mie approach are presented and assessed comparison with experimental data all-atom in their ability to describe liquid densities, isothermal compressibilities, thermal expansivities, viscosities, interfacial tensions. The structural behaviour characterized center mass angular radial distribution functions also benchmarked. force field shown deliver quantitatively accurate predictions while promising...