Alexander Ryzhov

Integration and Control of Heat and Power Systems with Variable Loads (Next Generation: Skoltech MIT Partnership Program)

1. Ryzhov A., Ouerdane H., Gryazina E., Bischi A., Turitsyn K., Model predictive control of indoor microclimate: Existing building stock comfort improvement, Energy Conversion and Management, Volume 179, 1 January 2019, Pages 219-228
2. Abramova, K.,Khairullin, K.,Ryzhov, A.,Soudakov, V., Numerical simulation of transonic buffet and its control using tangential jet blowing, ECCOMAS Congress 2016 – Proceedings of the 7th European Congress on Computational Methods in Applied Sciences and Engineering
3. Fedorov, A.V.,Ryzhov, A.A.,Soudakov, V.G.,Utyuzhnikov, S.V., Numerical simulation of the effect of local volume energy supply on high-speed boundary layer stability, Computers and Fluids, 2014
4. Fedorov, A.V.,Ryzhov, A.A.,Soudakov, V.G., Effect of local volume energy supply on high-speed boundary layer stability,В  43rd Fluid Dynamics Conference, 2013
5. Fedorov, A.V.,Ryzhov, A.A.,Soudakov, V.G.,Utyuzhnikov, S.V., Receptivity of a high-speed boundary layer to temperature spottiness,В  Journal of Fluid Mechanics, 2013
6. В Ryzhov, A.A.,Soudakov, V.G., Energy supply effect on supersonic boundary layer receptivity and stability 28th Congress of the International Council of the Aeronautical Sciences 2012, ICAS 2012
7. В Ryzhov, A.A.,Sudakov, V.G., Numerical modeling of the receptivity of a supersonic boundary layer to entropy disturbances,В  Fluid Dynamics, 2012
8. Fedorov, A.V.,Ryzhov, A.A.,Soudakov, V.G., Numerical and theoretical modeling of supersonic boundarylayer receptivity to temperature spottiness, 41st AIAA Fluid Dynamics Conference and Exhibit
9. Soudakov, V.,Fedorov, A.,Ryzhov, A., DNS and the theory of receptivity of a supersonic boundary layer to free-stream disturbances,В В  Journal of Physics: Conference Series, 2011

Moscow Institute of Physics and Technology

Applied math. and physics, M.D. 2011

Fluid, gas and plasma mechanics, Ph.D. 2015

Optimization and control, CFD, flows stability, transonic aerodynamics, receptivity and laminar-turbulent transition in hypersonic boundary layers, flow control.

Past activities:

Collaboration with training simulators manufacturer ‘˜Dynamica': harsh flight regimes corresponding to take-off and landing on ships/airports near mountains and refueling during flight were added to the simulator. Cooperation with helicopters manufacturer MIL in noise reduction of blades. Participation in 7-th European framework program together with leading European aerospace research centers and aircraft manufacturers in flow control utilization for next-generation passenger aircraft efficiency increase. As a result, technology with high TRL was developed.

TsAGI award, 2016, ‘˜Airplane simulators for harsh flight conditions’