Study on the Energy-saving of Air- conditioning & Ventilation in Subway
|Course||Heating,Gas Supply, Ventilation and Air Conditioning Engineering|
|Keywords||Subway Environmental Control Neural Networks CFD Air conditioning and ventilation mode Inverter control|
In engineering and science and technology development , with the accelerated pace of modern rhythm , the universal human need a comfortable working and living environment and favorable external environment , and transportation as an important foundation for urban development , economic and social the development is to have a decisive influence . With the economic development and population growth , the metro gradually become one of the main mode of transport in major cities . Due to the rapid development of the subway , the increase in vehicle trips and improve speed , resulting in the substantial increase in the subway in the heat , if not a good solution to the subway ventilation , the temperature rise of the subway passengers unbearable levels . Therefore, the establishment of a subway ventilation system is essential , not only to provide a safe and comfortable traveling environment , reduce energy consumption and to reduce the capital investment and operating effectiveness of the subway system . The subject , according to the actual engineering of Tianjin Metro Line 1 , by analyzing the locomotive running staff passenger , lighting , piston wind , ventilation and air-conditioning running way and building envelope thermal storage and thermal storage effect of factors such as the subway environmental control , as well as Description subway environmental control system run year round and seasonal thermal load case inverter control . First, through the course of the study curved sweep of metro combination of airfoil axial fan performance CFD simulations and supported by experimental validation , come to power frequency inverter conditions the fan performance curve , at the same time by using neural network load forecasting method as a subway station characteristics , draw the amount of ventilation needed to reach to meet the load requirements , and thus the corresponding change in the the fan inverter 's frequency to achieve control of the subway comfortable environment . The simulation results show that the neural network to predict the air supply has good control effect . Subway fan variable frequency control , environmental control system on the subway reasonable organization ventilation and air conditioning running mode , effective control of the temperature rise of the subway , and double social benefits of energy-saving and environmental protection .