Hongming Chen, Youhao Wang, Xiaojing Yuan, Suoying He, Ming Gao
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The results showed these parameters significantly affected the aerodynamic field distribution by regulating the balance between ventilation resistance and water-spraying density, thereby optimizing airflow organization. Concurrently, adjustments in the flow field led to adjustments in ventilation rate, which combined with the water-spraying density to reconfigure the air-water temperature field and in turn influenced heat and mass transfer efficiency. Orthogonal analysis obtained the optimized parameter combination: <em>D</em> = 2 m, <em>H</em> = 1 m, <em>L</em> = 1.5 m, <em>q</em><sub>2</sub> = 3 kg/(m<sup>2</sup>·s), <em>q</em><sub>3</sub> = 3 kg/(m<sup>2</sup>·s). Under this configuration, the circulating water temperature drop reached 12.12 °C, showing a 3.5 % improvement compared to the original counterflow mechanical draft cooling tower, significantly enhancing the thermal performance of the cooling tower. 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Through numerical simulation, the study deeply investigates the influence mechanisms of five key parameters (middle zone water-spraying density <em>q</em><sub>2</sub>, outer zone water-spraying density <em>q</em><sub>3</sub>, middle zone water-spraying width <em>L</em>, crossflow filling height <em>H</em>, and crossflow filling width <em>D</em>) on the aerodynamic field and air-water temperature field within the tower, identifying an optimal parameter combination within the study scope. The results showed these parameters significantly affected the aerodynamic field distribution by regulating the balance between ventilation resistance and water-spraying density, thereby optimizing airflow organization. Concurrently, adjustments in the flow field led to adjustments in ventilation rate, which combined with the water-spraying density to reconfigure the air-water temperature field and in turn influenced heat and mass transfer efficiency. 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引用次数: 0
摘要
本文提出了一种横流-逆流组合式机械通风冷却塔结构,旨在改造塔内流场,加强空气-水换热。通过数值模拟,深入研究了5个关键参数(中间区喷水密度q2、外区喷水密度q3、中间区喷水宽度L、横流填充高度H、横流填充宽度D)对塔内气动场和空气-水温度场的影响机理,确定了研究范围内的最优参数组合。结果表明,这些参数通过调节通风阻力和喷水密度之间的平衡,显著影响了气动场的分布,从而优化了气流组织。同时,流场的调整导致通风量的调整,通风量与喷水密度结合,重新配置空气-水温度场,进而影响传热传质效率。正交分析得到最佳参数组合:D = 2 m, H = 1 m, L = 1.5 m, q2 = 3 kg/(m2·s), q3 = 3 kg/(m2·s)。在此配置下,循环水降温达到12.12℃,较原逆流式机械通风冷却塔提高3.5%,冷却塔热工性能显著提高。该研究为冷却塔优化设计提供了重要的理论基础和工程应用参考。
Study on enhanced heat transfer mechanism for crossflow-counterflow combined mechanical draft cooling tower
This paper proposes a crossflow-counterflow combined mechanical draft cooling tower structure, aiming to reconstruct the flow field within the tower and enhance air-water heat transfer. Through numerical simulation, the study deeply investigates the influence mechanisms of five key parameters (middle zone water-spraying density q2, outer zone water-spraying density q3, middle zone water-spraying width L, crossflow filling height H, and crossflow filling width D) on the aerodynamic field and air-water temperature field within the tower, identifying an optimal parameter combination within the study scope. The results showed these parameters significantly affected the aerodynamic field distribution by regulating the balance between ventilation resistance and water-spraying density, thereby optimizing airflow organization. Concurrently, adjustments in the flow field led to adjustments in ventilation rate, which combined with the water-spraying density to reconfigure the air-water temperature field and in turn influenced heat and mass transfer efficiency. Orthogonal analysis obtained the optimized parameter combination: D = 2 m, H = 1 m, L = 1.5 m, q2 = 3 kg/(m2·s), q3 = 3 kg/(m2·s). Under this configuration, the circulating water temperature drop reached 12.12 °C, showing a 3.5 % improvement compared to the original counterflow mechanical draft cooling tower, significantly enhancing the thermal performance of the cooling tower. This research provides crucial theoretical foundations and engineering application references for optimizing cooling tower designs.
期刊介绍:
Energy is a multidisciplinary, international journal that publishes research and analysis in the field of energy engineering. Our aim is to become a leading peer-reviewed platform and a trusted source of information for energy-related topics.
The journal covers a range of areas including mechanical engineering, thermal sciences, and energy analysis. We are particularly interested in research on energy modelling, prediction, integrated energy systems, planning, and management.
Additionally, we welcome papers on energy conservation, efficiency, biomass and bioenergy, renewable energy, electricity supply and demand, energy storage, buildings, and economic and policy issues. These topics should align with our broader multidisciplinary focus.