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Ming Gao

Researcher at Shandong University

Publications -  77
Citations -  1191

Ming Gao is an academic researcher from Shandong University. The author has contributed to research in topics: Cooling tower & Crosswind. The author has an hindex of 16, co-authored 58 publications receiving 744 citations. Previous affiliations of Ming Gao include University of Manchester.

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Experimental research of heat transfer performance on natural draft counter flow wet cooling tower under cross-wind conditions

TL;DR: In this paper, the authors investigated the effect of cross-wind conditions on the performance of natural draft counter-flow wet cooling and found that ΔT and η can decrease mostly by 6% and 5%, respectively, when the critical Fr l number is less than 0.174.
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Performance prediction of wet cooling tower using artificial neural network under cross-wind conditions

TL;DR: In this article, a three-layer back propagation (BP) network model was used to predict the thermal performance of a cooling tower under cross-wind conditions, and the model adopts the improved BP algorithm, that is, the gradient descent method with momentum.
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Experimental research of the cross walls effect on the thermal performance of wet cooling towers under crosswind conditions

TL;DR: In this article, the effect of cross walls on the thermal performance of NDWCTs under cross-wind conditions was investigated and the results showed that crosswinds degrade the performance below a critical crosswind velocity Vcr, but improve the performance above Vcr.
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Experimental research of the guiding channels effect on the thermal performance of wet cooling towers subjected to crosswinds - Air guiding effect on cooling tower

TL;DR: In this paper, the thermal performance of a natural-draft wet cooling tower model with inlet airflow guiding channels under crosswinds conditions was monitored and experimented, and three patterns of the air guiding channels with different setting angles (including 60°, 70° and 80°) were tested under various cross-winds velocities, and the results showed that the air flow rate and cooling efficiency increase remarkably after the inlet air is directed.
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Novel method for improving the cooling performance of natural draft wet cooling towers

TL;DR: In this paper, a 3D numerical model was established to evaluate the effect of air ducts on tower aerodynamic field and the tower outlet water temperature t2, and the authors found that air ducting improved both the aerodynamic fields and cooling performance of the NDWCT and that the improvement is quite dependent on the crosswind velocity.