My Expertise
Dr Svetlana Tkachenko has expertise in the following:
Topic areas:
- building ventilation
- renewable energy
- aerodynamics
- automotive applications
- air conditioning
Modelling techniques:
- computational fluid dynamics
- computational modelling of fluid flow and heat transfer, such as natural convection, turbulence, multi-phase flow
- numerical methods
- data analysis and visualisation
- programming to automate numerical simulations and data processing
- high-performance computing at Katana UNSW and Gadi NCI
Software:
- ANSYS -- engineering numerical simulations
- OpenFoam -- computational fluid dynamics simulations (free and open-source software)
- Tecplot -- visualization
- MATLAB, GNU Octave -- data analysis and visualization (Octave is free and open-source software)
- Bash -- shell scripting in Linux environment
- Fortran -- scientific programming
Keywords
Fields of Research (FoR)
Mechanical engineering, Photovoltaic power systems, Photovoltaic devices (solar cells), BuildingSEO tags
Biography
Dr Svetlana Tkachenko graduated with a PhD in Mechanical Engineering at UNSW in 2018. Svetlana's PhD involved numerical modelling of buoyant turbulent fluid flow and heat transfer in a model of a double-skin building facade with photvoltaic (PV) modules on the outer skin, which suggested that higher wall emissivity on inner surfaces of such a facade leads to improvement in surface-to-surface wall radiation and resulting passive cooling...view more
Dr Svetlana Tkachenko graduated with a PhD in Mechanical Engineering at UNSW in 2018. Svetlana's PhD involved numerical modelling of buoyant turbulent fluid flow and heat transfer in a model of a double-skin building facade with photvoltaic (PV) modules on the outer skin, which suggested that higher wall emissivity on inner surfaces of such a facade leads to improvement in surface-to-surface wall radiation and resulting passive cooling rates.
After graduation, Svetlana has participated in research projects with industrial partners in the areas of aerodynamics for rotary wing aircraft, automotive applications for disk brakes, building ventilation for a three-storey building with passive evaporative downdraft cooling. In these projects, Svetlana has created a numerical model, and collaborated with fellow researchers, to devise improvements to the design of these systems, which would increase their resulting performance.
Dr Svetlana Tkachenko currently is a post-doctoral fellow at UNSW Faculty of Engineering, undertaking numerical modelling of fluid flow and heat transfer in the areas of renewable energy, building ventilation, and air conditioning. Her numerical modelling includes multi-phase modelling, study of new materials, and collaboration with industry to identify the requirements, limitations, and working objectives.
My Grants
- Australian Renewable Energy Agency (ARENA) grant "Research boost for solar panel efficiency and cost reduction" - "Reduced Solar Module Temperature" (2020-2023) - a Chief Investigator
My Qualifications
- PhD, Mechanical Engineering, UNSW, Australia 2018
My Awards
- Finalist: 2022 GUD Excellence Awards at the Royal Automobile Club of Victoria in Melbourne. Disc Brakes Australia (DBA)’s submission showcased DBA’s successful collaboration with the University of NSW in the area of thermodynamic simulations in brake rotor development. The DBA submission successfully progressed to finalist stage, where contenders then had to submit their final bids in form of a 90-second video clip, thereby not only demonstrating their ability to innovate, but also challenging the Marketing teams on their videographic skillset. Svetlana's research contribution supervised by Dr Victoria Timchenko at UNSW Sydney involved numerical modeling of fluid flow and heat transfer for the vented disk brake design, and design optimization, with contributions to a parent and successful product manufacture.
My Research Supervision
Supervision keywords
Areas of supervision
These projects are suitable for students from:
MECH
AERO
CSE
These topics require skills in, or interest to learn, the following areas:
- effect of high operating temperature on performance of photovoltaic systems
- radiative heat transfer (example (6 minutes); example with formulas (15 minutes)) and spectral modeling
- editing of geometry (CAD) in ansys spaceclaim or solidworks (example (4 minutes))
- setup of thermal modeling in ansys package - computational fluid dynamics modelling (CFD) (link (playlist, ~15mins each clip)) (course: MECH4620)
Noting that the complete knowledge of these topics is not required. Please send me an email or a message in Teams if you are interested in any of the topics below, or your own topic:
- E-mail: svetlana.tkachenko@unsw.edu.au
- Teams: ‘Svetlana Tkachenko’ (available via UNSW)
- P: +612 9065 0112 (leave a voicemail if I'm not available, I will get back to you)
- Location: Kensington campus, Sydney
1 Passive cooling of rooftop solar panels
- Rooftop PV may operate at high temperatures over 60C.
- Issues with electric output and degradation.
- Temperatures are affected by weather, roof shapes, wind.
- Passive cooling techniques need to be improved which involve changes to the design without spending energy on additional devices e.g. fans.
- Numerical modeling of fluid flow and heat transfer (CFD), and/or experimental studies indoors at reduced scale.
- Industry partners: TBC
- International collaboration: TBC
2 Building-integrated photovoltaic systems (BIPV)
- BIPV may operate at high temperatures over 50C.
- Issues with electric output and degradation.
- Multiple objectives: increase thermal comfort, improve ventilation, and reduce energy consumption.
- Novel building ventilation and BIPV install designs can be created, such as solar chimneys, building facades.
- The effect of varying ambient conditions can be assessed in numerical model.
- Numerical modeling of fluid flow and heat transfer (CFD).
- Industry partners: TBC
- International collaboration: France
3 Convective heat transfer at solar farms in Australia
- PV may operate at high temperatures over 60C.
- Issues with electric output and degradation.
- Rapidly growing industry in Australia.
- Improved correlations of heat transfer with weather are needed.
- Numerical modeling of fluid flow and heat transfer (CFD), and field data analysis and characterization, are involved.
- Industry partners: 5B; TBC
- International collaboration: TBC
3A Machine Learning enhanced analysis of weather data and PV operating conditions
- Assess the effect of wind parameters on performance of PV modules using regression modelling and deep neural networks.
3B Spectral modeling of PV surface and atmosphere
- Characterize impact of heat transfer in different wavelengths
- Make design-driven recommendations for spectral coatings to reduce heating of air
- Possible connections with urban microclimate and thermal comfort
3C Smart coatings for PV systems
- Interested industry partner in UK
- A&B Smart Materials is an Oxford University based venture that focuses on the development of novel materials. They are developing a smart material coating for the photovoltaic industry, which increases the energy generation and lifespan of the panels. The coating automatically absorbs atmospheric water at night and releases it through evaporation during the daytime, cooling the panel down. The venture is looking to co-develop computational thermal models of the coating behaviour. Experimental data on the coating behaviour in large scale solar simulators will be supplied. In addition, a 2-D MATLAB model will also be supplied as a starting pack (encompassing empirical convection equations, conduction in layers of the PV module, sky radiation,…). There is also an opportunity to perform field trials (A&B Smart Materials will provide the coatings and PV panels), which would be a further opportunity to validate the computational model.
4 Add your project here
- If you're interested in another project in a related area, get in touch. Please include your academic transcript, and a short one-paragraph description of the research question.
Currently supervising
Currently supervising
Two thesis students in the topics of renewable energy and one student in disk brake modeling.
Past thesis topics
- Contributed technical advice and assisted with supervision in the following undergraduate theses (available for download from UNSWorks website):
- 2022 Simulation analysis and optimisation of the braking system of UNSW Redback Racing’s FSAE vehicle (Evan, Favos)
- 2022 CFD and Thermal Modelling of Disc Brake Systems (Lau, Chi Hang)
- 2022 A thermal performance analysis of PV modules using computation fluid dynamics (Klisser, Ruby)
- 2022 Effects of ambient wind on the cooling of rooftop-mounted photovoltaic module (Phillips, Matthew)
- 2021 Wind tower and Passive cooling of large spaces in hot climates (Yang, Qian)
- 2021 Numerical modelling of photovoltaic module with natural convection cooling in rooftop on different heights of building rooftop (Suriawidjaja, Gilbert)
- Contributed technical advice to selected tasks within the PhD students theses research (available for download from UNSWorks website):
- 2018 On the noise generated by a ship propeller (Ahmed, Shakeel)
- 2018 Coherent structures and impact of the external thermal stratification in a transitional natural convection vertical channel (Thebault, Martin)
- Contributed technical advice to undergraduate students theses research (available for download from UNSWorks website soon):
- 2023 Development of safety features for harm reduction in Formula 1 racing (Goodenough, Alexandra)
My Teaching
Previously demonstrated/tutored for the following:
- MECH4620 Computational Fluid Dynamics
- Introduction to ANSYS CFX and Fluent
- Defining a CFD problem
- Creating and/or Importing Geometry in Design Modeler
- Mass and momentum conservation and Navier-Stokes equations
- Kinematic properties of fluids, dynamic similarity and energy conservation
- Turbulence
- Computational methods – discretisation
- Solution Procedures
- Post processing – analysis of results. Validation and verification
- MATH2089 Numerical Methods and Statistics
- Floating point format
- Linear Systems
- Least Squares and Polynomial Interpolation
- Numerical Differentiation and Integration
- Differential Equations