For large-scale passenger railway station, the indoor and outdoor temperature is closely related to air-conditioning load, meanwhile, the gathered passenger, fresh air load and internal load are the main factors affecting air conditioning. In this paper, based on passenger gathered number in the waiting room, the factors that affect the air-conditioning has been analyzed, and numerical simulation have been carried out. The details are as following:(1) We selected Beijing West Railway Station, Shanghai Railway Station, Changsha, Railway Station, Guangzhou Railway Station and Harbin Railway Station for energy consumption and energy structure investigation, we focused on analyzed the energy consumption of lighting and air-conditioning.(2) The testing of inside and outside environmental parameters at Harbin Railway Station, Beijing West Railway Station, Changsha Station, Guangzhou Station has been carried out, and the value of the actual thermal sensation vote(TSV) were analyzed, based on the TSV statistical data, the thermal comfort adaptive models of the extreme cold area, cold area, hot summer and cold winter area, together with the hot summer and warm winter area have been established.(3) By adopting the method of looking over the tickets of passengers and recording the entering time, the waiting time of each passenger has been gained. With the theory of Gauss formula, the grey dynamic model of waiting time has been established and the simulation of gathered passenger was completed. Based on the research of indoor thermal comfort and the theory of BIN method, the calculation of the load of the building envelope has been gained,(4) Through the measured value of indoor and outdoor CO2 concentration and the questionnaire, the statistical analysis of passenger's feeling to the freshness of indoor air at different indoor and outdoor CO2 concentration has been observed. By developing an indoor and outdoor CO2 concentration difference mathematical model, the CO2 difference concentration simulation of different air change rate and different working day under both natural ventilation and mechanical ventilation have been carried out.(5) With the help of CEC coefficient method, the energy index of air-conditioning system has been set. At the same time, the orthogonal experiment method has been used to sort the order for the factors that influence the energy consumption of air-conditioning system.The research of this dissertation can provide reference to the design, construction and performance management for passenger railway station, it is of rather good significance both in theory and practice. |