Process engineering, Global optimization, Mathematical optimization, Fossil fuel and Mechanical engineering are his primary areas of study. His study in Process engineering is interdisciplinary in nature, drawing from both Organic Rankine cycle, Desalination, Hybrid system, Solar energy and Geothermal energy. The Global optimization study combines topics in areas such as Basis, Relaxation, Semi-infinite, Differential equation and Upper and lower bounds.
The study incorporates disciplines such as Discretization and Heliostat in addition to Mathematical optimization. His work carried out in the field of Fossil fuel brings together such families of science as Electricity generation, Combustion, Methane and Renewable energy. The concepts of his Mechanical engineering study are interwoven with issues in Nuclear engineering, Multi variable and Coal combustion products.
Alexander Mitsos mainly focuses on Process engineering, Mathematical optimization, Optimization problem, Global optimization and Waste management. His Process engineering research is multidisciplinary, incorporating elements of Desalination, Process design, Process and Optimal design. His biological study focuses on Low-temperature thermal desalination.
His Solver study in the realm of Mathematical optimization interacts with subjects such as Function. Function is intertwined with Regular polygon and Relaxation in his study. His Artificial neural network research integrates issues from Organic Rankine cycle and Model predictive control.
Alexander Mitsos focuses on Artificial neural network, Process engineering, Mathematical optimization, Model predictive control and Solver. Alexander Mitsos has researched Artificial neural network in several fields, including Algorithm, Organic Rankine cycle, Process optimization and Sensitivity. Alexander Mitsos combines subjects such as Work, Process design, Process, Chlorine production and Renewable energy with his study of Process engineering.
His Nonlinear system research extends to Mathematical optimization, which is thematically connected. His research in Model predictive control focuses on subjects like Control theory, which are connected to Distillation. The various areas that Alexander Mitsos examines in his Solver study include Process modeling, Global optimization, Degree Rankine, Optimal design and Optimization problem.
His primary areas of study are Process engineering, Production, Artificial neural network, Process and Mathematical optimization. In his works, Alexander Mitsos conducts interdisciplinary research on Process engineering and Flexibility. His biological study spans a wide range of topics, including Integrated design, Energy storage, Renewable fuels, Renewable energy and Environmental economics.
His studies examine the connections between Renewable fuels and genetics, as well as such issues in Process design, with regards to Multi-objective optimization, Degree Rankine, Organic Rankine cycle and Electricity generation. His Solver and Optimization problem investigations are all subjects of Mathematical optimization research. His Optimization problem research includes themes of Setpoint, Global optimization and Applied mathematics.
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Heliostat field optimization: A new computationally efficient model and biomimetic layout
Corey J. Noone;Manuel Torrilhon;Alexander Mitsos.
Solar Energy (2012)
McCormick-Based Relaxations of Algorithms
Alexander Mitsos;Benoit Chachuat;Paul I. Barton.
Siam Journal on Optimization (2009)
A review of recent developments in carbon capture utilizing oxy‐fuel combustion in conventional and ion transport membrane systems
M. A. Habib;H. M. Badr;S. F. Ahmed;R. Ben-Mansour.
International Journal of Energy Research (2011)
Concentrated solar power on demand
Alexander H. Slocum;Daniel S. Codd;Jacopo Buongiorno;Charles Forsberg.
Solar Energy (2011)
Identifying drug effects via pathway alterations using an integer linear programming optimization formulation on phosphoproteomic data.
Alexander Mitsos;Ioannis N. Melas;Paraskeuas Siminelakis;Aikaterini D. Chairakaki.
PLOS Computational Biology (2009)
Global solution of bilevel programs with a nonconvex inner program
Alexander Mitsos;Panayiotis Lemonidis;Paul I. Barton.
Journal of Global Optimization (2008)
Cleaner production of cleaner fuels: wind-to-wheel – environmental assessment of CO2-based oxymethylene ether as a drop-in fuel
Sarah Deutz;Dominik Bongartz;Benedikt Heuser;Arne Kätelhön.
Energy and Environmental Science (2018)
A Review of Hybrid Solar–Fossil Fuel Power Generation Systems and Performance Metrics
Elysia J. Sheu;Alexander Mitsos;Ahmad A. Eter;Esmail M. A. Mokheimer.
Journal of Solar Energy Engineering-transactions of The Asme (2012)
Optimal design and operation of a natural gas tri-reforming reactor for DME synthesis
Wonjun Cho;Taekyong Song;Alexander Mitsos;J. Thomas McKinnon.
Catalysis Today (2009)
Modeling and optimization of a binary geothermal power plant
Hadi Ghasemi;Marco Paci;Alessio Tizzanini;Alexander Mitsos.
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