Optimization on Subway Ventilation Strategy Based on Improved Harmonic Search
Urban rail transit is currently in a rapid construction in china,in order to further improve the station environment and reduce the station operation energy consumption,it has become a key way to achieve the high quality development of rail transit.A-mong them,the ventilation system accounts for 17％of the total energy consumption in the metro environmental control system.In order to balance air quality and comfort of stations,reduce the energy consumption of the system end fan,and simulate and analyze the air conditioning load of a subway station in Xi'an.The load prediction model was established,and the target air supply volume was calculated.The improved multi-objective sound search algorithm was used to optimize the hourly air supply volume.Through compar-ison and analysis with the traditional operation strategy,the temperature inside the station is significantly increased after the optimiza-tion,and the temperature difference between the station and the outdoor is about 4 ℃,which meets the temporary thermal comfort needs of passengers in the station.it is a prerequisite to maintain CO2 concentration in the station below healthy concentration limits,the energy saving rate of the ventilation system reaches 22.7％.
variable air volume(VAV)ventilation system energy consumptionthermal comfortair qualityharmony search al-gorithm
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