Optimization and Evaluation of Ventilation Mode in Marine Data Center Based on AHP-Entropy Weight
AbstractThe 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. View Full-Text
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Feng, G.; Lei, S.; Guo, Y.; Meng, B.; Jiang, Q. Optimization and Evaluation of Ventilation Mode in Marine Data Center Based on AHP-Entropy Weight. Entropy 2019, 21, 796.
Feng G, Lei S, Guo Y, Meng B, Jiang Q. Optimization and Evaluation of Ventilation Mode in Marine Data Center Based on AHP-Entropy Weight. Entropy. 2019; 21(8):796.Chicago/Turabian Style
Feng, Guozeng; Lei, Shuya; Guo, Yuejiao; Meng, Bo; Jiang, Qingfeng. 2019. "Optimization and Evaluation of Ventilation Mode in Marine Data Center Based on AHP-Entropy Weight." Entropy 21, no. 8: 796.
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