Energy savings for heating cabins of mobile machines and production facilities for their maintenance and repair

Mikhailov, V. A.; Kutkov, G. M.; Dmitriev, Mikhail

doi:10.17816/2074-0530-66911

Cited by 3 publications

(4 citation statements)

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“…Typically, when it comes to forced convection, solving the Navier-Stokes equations analytically is not feasible, so in order to determine heat transfer coefficients, one must rely on experimental findings derived from the Nusselt criterion, which is based on similarity theory and dimensionless complexes [12][13][14][15]. The Nusselt number is what determines the heat transfer coefficient values, and this is influenced by the type of medium flow present in the near-wall regions.…”

Section: Introductionmentioning

confidence: 99%

Numerical simulation of aerodynamics in the cabin of transport

Panfilov,

Beskopylny,

Tashpulatov

et al. 2024

E3S Web Conf.

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One of the most important tasks of transport engineering is the task of providing optimal and comfortable conditions for drivers and passengers, in particular: temperature, pressure, dust content, humidity, air speed, noise, illumination, etc. Temperature, humidity and vibration influences are also of great importance for the functioning of electronic devices and transport equipment. In this paper, a numerical-mathematical model is presented for studying the fields of temperatures, velocities, pressures, densities and humidity of air in the cabin space with simultaneous blowing by an external flow and internal ventilation. As a mathematical model, the Navier-Stokes equations in the RANS formulation are used, together with the diffusion equation, which allows calculating the mass fractions of water vapor in the domain. As a numerical implementation, the finite volume method is used together with turbulence models in the Ansуs Fluent software product. A non-stationary setting is considered, the stabilization time of flows is found; the stabilized fields are compared with the results obtained for the stationary setting. A method for obtaining numerical values of heat transfer coefficients for walls consisting of several layers of materials is also given. As a numerical experiment, a cabin of a special technological transport with a large glass area and multi- layered walls, with one driver without passengers, is considered. The obtained results are compared with the results obtained earlier without taking into account the diffusion equation and relative air humidity modeling.

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Section: Introductionmentioning

confidence: 99%

Numerical simulation of aerodynamics in the cabin of transport

Panfilov,

Beskopylny,

Tashpulatov

et al. 2024

E3S Web Conf.

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“…The optimization of configurations and operating modes of heating and ventilation systems of vehicles can reduce fuel consumption in internal combustion engines, reduce energy consumption, and extend the service life of electric vehicle batteries. In addition, the creation of a comfortable microclimate maintains optimal performance, the concentration of drivers, and conditions for the rest of transport passengers in [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Improving the Fuel Economy and Energy Efficiency of Train Cab Climate Systems, Considering Air Recirculation Modes

Panfilov,

Beskopylny,

Meskhi

2024

Energies

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Current developments in vehicles have generated great interest in the research and optimization of heating, ventilation, and air conditioning (HVAC) systems as a factor to reduce fuel consumption. One of the key trends for finding solutions is the intensive development of electric transport and, consequently, additional requirements for reducing energy consumption and modifying climate systems. Of particular interest is the optimal functioning of comfort and life support systems during air recirculation, i.e., when there is a complete or partial absence of outside air supply, in particular to reduce energy consumption or when the environment is polluted. This work examines numerical models of airfields (temperature, speed, and humidity) and also focuses on the concentration of carbon dioxide and oxygen in the cabin, which is a critical factor for ensuring the health of the driver and passengers. To build a mathematical model, the Navier–Stokes equations with energy, continuity, and diffusion equations are used to simulate the diffusion of gases and air humidity. In the Ansys Fluent finite volume analysis package, the model is solved numerically using averaged RANS equations and k-ω turbulence models. The cabin of a mainline locomotive with two drivers, taking into account their breathing, is used as a transport model. The problem was solved in a nonstationary formulation for the design scenario of summer and winter, the time of stabilization of the fields was found, and graphs were constructed for different points in time. A comparative analysis of the uniformity of fields along the height of the cabin was carried out with different locations of deflectors, and optimal configurations were found. Energy efficiency values of the climate system operation in recirculation operating modes were obtained. A qualitative assessment of the driver’s blowing directions under different circulation and recirculation modes is given from the point of view of the concentration of carbon dioxide in the breathing area. The proposed solution makes it possible to reduce electricity consumption from 3.1 kW to 0.6 kW and in winter mode from 11.6 kW to 3.9 kW and save up to 1.5 L/h of fuel. The conducted research can be used to develop modern energy-efficient and safe systems for providing comfortable climate conditions for drivers and passengers of various types of transport.

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“…(a) (b) The factors that provide a comfortable microclimate and the theoretical foundations for modeling the microclimate in cabins based on the balance equations of heat flows are presented in [1][2][3][4][5], "the processes of convective heat exchange with the environment are described" [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

“…The CFD approach to the study of the spread of viral particles was used to simulate the transmission of the virus in urban public places [46,47], considering different landscape designs and air speeds, in rooms with different partitions [48][49][50][51][52], risks assessment [53][54][55], and construction drainage pipes [56]. Options for optimizing ventilation and air The factors that provide a comfortable microclimate and the theoretical foundations for modeling the microclimate in cabins based on the balance equations of heat flows are presented in [1][2][3][4][5], "the processes of convective heat exchange with the environment are described" [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Heat Transfer and Spread of Virus Particles in the Car Interior

2023

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The epidemic caused by the coronavirus infection SARS-CoV-2 at the beginning of 2022 affected approximately 500 million people in all countries. The source of infection is the particles of the virus, which, when breathing, talking, and coughing, are released with the respiratory droplets and aerosol dust of an infected person. Actions aimed at combating and minimizing the consequences of coronavirus infection led to taking measures in scientific areas to investigate the processes of the spread of viral particles in the air, in ventilation, and air conditioning systems of premises and transport, filtration through masks, the effect of partitions, face shields, etc. The article presents a mathematical model of the spread of viral particles in technological transport. Air intake diverters and the operator’s respiratory tract are the sources of the virus. The Euler–Lagrange approach was used to simulate liquid droplets in a flow. Here, the liquid phase is considered as a continuous medium using Navier–Stokes equations, the continuity equation, the energy equation, and the diffusion equation. Accounting for diffusion makes it possible to explicitly model air humidity and is necessary to consider the evaporation of droplets (changes in the mass and size of particles containing the virus). Liquid droplets are modeled using the discrete-phase model (DPM), in which each particle is tracked in a Lagrange coordinate system. The DPM method is effective, since the volume fraction of particles is small relative to the total volume of the medium, and the interaction of particles with each other can be neglected. In this case, the discrete and continuous phases are interconnected through the source terms in the equations. The averaged RANS equations are solved numerically using the k-ω turbulence model in the Ansys Fluent package. The task was solved in a static form and in the time domain. For a non-stationary problem, the stabilization time of the variables is found. The simulation results are obtained in the form of fields of pressures, velocities, temperatures and air densities, and the field of propagation of particles containing the virus. Various regimes were studied at various free flow rates and initial velocities of droplets with viral particles. The results of trajectories and velocities of particles, and particle concentrations depending on time, size, and on the evaporability of particles are obtained.

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Energy savings for heating cabins of mobile machines and production facilities for their maintenance and repair

Cited by 3 publications

References 0 publications

Numerical simulation of aerodynamics in the cabin of transport

Numerical simulation of aerodynamics in the cabin of transport

Improving the Fuel Economy and Energy Efficiency of Train Cab Climate Systems, Considering Air Recirculation Modes

Numerical Simulation of Heat Transfer and Spread of Virus Particles in the Car Interior

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