Scientists from Tomsk Polytechnic University have developed a model of air flow and heat exchange in open and closed systems. It can help in the development of energy-efficient heating systems, smart climate controls, and monitoring systems that will be useful in predicting the spread of hazardous substances in the event of emergencies.
In nature and technology, heat and mass transfer usually occur through turbulent flows. Although significant progress has been made in the field of numerical modeling of thermohydrodynamic processes, accurate prediction of the patterns of turbulent heat and mass transfer remains a serious challenge.
Specialists from the TPU Physics Research School, specializing in the study of high-energy processes, have created an innovative mathematical model that combines the advantages of various approaches. This model is capable of effectively analyzing turbulent thermogravitational flows.
The model created by scientists is suitable for high-performance parallel computing on graphics accelerators (GPUs). It is more convenient to use and has improved computing power because it does not require solving the stationary continuity equation at each time step.
In addition, the hybrid approach developed by scientists is more stable and requires less RAM.
We tested our approach by solving benchmark problems of turbulent natural convection in closed spaces and comparing the results of numerical modeling with known experimental data. The results of computational experiments showed that our hybrid algorithm converges more than four times faster compared to traditional numerical methods of continuum mechanics.
This opens up new horizons in the design of energy-efficient heating systems and allows you to control the microclimate of premises in real time.
The researchers intend to improve the algorithm using three-dimensional modeling, as well as taking into account radiant and convective heat transfer. This will allow us to bring the computational model as close as possible to real engineering tasks, such as heating and cooling residential and administrative premises using a panel-radiant system, as well as monitoring the microclimate in hospital wards and operating rooms in real time.
In addition, it is planned to integrate neural networks into the hybrid model, which will allow obtaining ultra-fast and relatively accurate solutions in tasks related to fire safety and the spread of toxic substances.
Earlier, the Izhevsk Research and Technological Institute "Progress", managed by RT-Capital of the Rostec State Corporation, developed new unique equipment. It is designed to assess water consumption in radiators and convectors, as well as for high-precision measurement of heat flow. Correct assessment of heat flow can significantly reduce the cost of operating heating systems and capital costs during their installation.
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