Dissertation > Transportation > Rail transport > Special railway > Mass Transit Railway

Study on the Energy-saving of Air- conditioning & Ventilation in Subway

Author YangDongXu
Tutor YouShiJun
School Tianjin University
Course Heating,Gas Supply, Ventilation and Air Conditioning Engineering
Keywords Subway Environmental Control Neural Networks CFD Air conditioning and ventilation mode Inverter control
CLC U231
Type Master's thesis
Year 2004
Downloads 733
Quotes 15
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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 .

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