Numerical study of the air pollutants dispersion assessment from power plant: the effect of surface variable temperature of nearby reservoir
摘要
Today, correct assessment of the environment from the activities of thermal power plants is an important environmental problem throughout the world. This paper presented numerical modeling of the distribution of pollutants from a thermal power plant under the influence of the surface temperature of a nearby reservoir, which varies depending on the time of day. Using the example of a real thermal power plant (Ekibastuz State District Power Plant-1), the dispersion of NO, SO2 was modeled. The mathematical model and numerical algorithm were verified by solving several test problems and comparing them with experimental data and numerical results of other authors. Additionally, to select an effective turbulence model, the results obtained were compared with experimental data. The purpose of this work was to study the level of pollution concentration at different distances from the source under different temperature conditions. As a result, the mass fractions of concentration and cross-flow velocity were determined at different distances from the source. According to the data obtained, the level of pollution concentration spreads wider as it moves away from the source under the influence of diffusion at a constant temperature, and at different temperature conditions, depending on time, it either rises or settles. This process negatively affects the earth's surface and the aquatic environment. Additionally, the maximum heights with a significant influence of the buoyancy force were identified, which amounted to 40 m, while at an altitude of 100 m the temperature gradient showed a value of no more than 0.20C. It should also be noticed that the maximum value of pollution is observed in the evening, and in the morning there is a minimum concentration value on the earth's surface. Emissions significantly change the chemical composition of water and reduce the amount of oxygen. The further the distance from the pipe, the lower the concentration of the substance. Thus, the obtained numerical data may make it possible in the future to predict the optimal distance from residential areas for the design of thermal power plants, at which the concentration of emissions will remain at a safe level.