Development and application of modern computer methods and technologies for heat and mass transfer analysis of energy objects and equipment, gas turbine manufacture, engineering, building construction, industrial processes, instrumentation, etc. in order to optimize the equipment and processes parameters design and prediction.

Methodological (fundamental) basis for the solution of applied problems of analysis, optimization and prediction of heat and mass transfer processes is a computational and experimental approach based on computer (computational) models, the adequacy of which is provided by the parametric and structural identification and estimation using experimental data on the investigational process or object and solution of inverse problems.

The main tools of the laboratory are modern computer programs and technologies developed in the department or known in the world, which are used by scientists to analyze, optimize and forecast indicators of heat and mass transfer processes in heat technological processes of energy equipment and installations, mechanical engineering, construction, etc.

In particular, the laboratory has a license to use the software STAR-CD, ANSYS FLUENT, FDS, Flow Nex, Windows Server, in which using modern high-performance numerical algorithms providing the solution of three-dimensional non-stationary problems of any complexity in the heat and mass transfer, fluid dynamics and structural strength. The guarantee of the quality of programs is an ISO 9001 certified. These software products are widely used by the world’s leading industrial corporations and concerns, engineering firms and research centers.

In the laboratory of STAR-CD, ANSYS-CFD and Flow Nex are basic computer tools for the practical application of computational and experimental approach to the analysis, optimization and prediction of heat and mass transfer processes in equipment, objects of power and heat technologies.

In the laboratory of special programs designed FRIEND, COLTAN and TABC to solve different kinds of scientific and engineering problems.