﻿ 基于Fluent模拟区域水体热污染预测研究

# 基于Fluent模拟区域水体热污染预测研究Research on Thermal Pollution Prediction in Regional Water Based on Fluent

Abstract: This paper set up a mathematical model by power plant cooling water used for predicting water temper-ature distribution effect of receiving waters; based on a domestic power plant in the river in summer and winter which are unfavorable hydrological conditions, under the power plant running normal condition and abnormal conditions in both cases, the water movement and diffusion rules of cooling water after entering water temperature were studied. Research found that: overall, the cooling water influence area of the temperature rise is mainly manifested in the downstream port within 250 m, mainly along the river longitudinal dispersion in the river. After 250 m, the temperature rise effect significantly reduces; temperature influence range significantly decreases, and the cooling water temperature is almost con-sistent with the river environment. Under the hydrological conditions of different seasons, in the obvious temperature rise effect region, the influence of the temperature rise of summer is more obvious than winter, and the transverse distribution range of summer is larger. In terms of different working conditions, the temperature rise effect change is not obvious, but for the influence on the temperature range change, the temperature rise effect of the abnormal condition is bigger. Finally, through the actual simulation of the predicted and the measured results, the verification results are more ideal, demonstrating that this model can be applied to similar engineering and research, and prediction results can provide the scientific basis for power plant design and environment evaluation.

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