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近期,我院馮國增副教授、研究生雷淑雅等在《Entropy》上發表研究成果。
發布時間: 2019-09-09 瀏覽次數: 10

近期,我院教師馮國增副教授、研究生雷淑雅等的“Optimization and Evaluation of Ventilation Mode in Marine Data Center Based on AHP-Entropy Weight”在《Entropy》上發表。

 

論文簡介如下:

 

The ventilation mode affects the cooling efficiency of the air conditioners significantly in marine data centers. Three different ventilation modes, namely, underfloor ventilation, overhead ventilation, side ventilation, are numerically investigated for a typical marine data center. Four independent parameters, including temperature, velocity, air age, and uniformity index, are applied to evaluate the performances of the three ventilation modes. Further, the analytic hierarchy process (AHP) entropy weight model is established and further analysis is conducted to find the optimal ventilation mode of the marine data center. The results indicate that the underfloor ventilation mode has the best performance in the airflow patterns and temperature distribution evaluation projects, with the highest scores of 91.84 and 90.60. If low energy consumption is required, it is recommended to select the overhead ventilation mode with a maximum score of 93.50. The current evaluation results agree fairly well with the three dimensional simulation results, which further proves that the AHP entropy weight method is reasonable and has a high adaptability for the evaluation of air conditioning ventilation modes.

本文下載地址:https://doi.org/10.3390/e21080796

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