Research On Waiting Environment And Energy Consumption At The Passenger Railway Station

The passenger railway station, with great volume and heavy passenger flow, has large equipment capacity as well as high energy and increasing consumption. The energy-saving analysis on railway station is of great importance since state government is promoting energy-saving and emission-reduction. As a public service establishment, the railway station should take providing a comfortable and efficient service as its main objective. Therefore, how to save energy consumption as far as possible while providing passenger with a comfortable waiting environment, is a major development opportunity and challenge of the passenger railway station.In this paper, based on passenger gathered number in the waiting room, the factors that affect the passenger comfort, such as thermal environment, lighting environment, the escalator service environment and the fresh air volume have been analyzed, and then, the research on air-conditioning, lighting and escalators and other energy-consumption equipment have been carried out. The details are as following:(1) 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.(2) 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, and the threshold annoyance has also been calculated with fuzzy mathematic method. 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. (3) 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.(4) Based on the research of indoor thermal comfort and fresh air volume and the theory of BIN method, the calculation of the load of the building envelope has been gained, 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.(5) Combined with the illumination measurement and the survey date of lighting comfort on passengers, passenger's experience under different illumination has been analyzed, the fuzzy mathematic method has been adopted to calculate the dark waiting room threshold limit. The gray relational method has been taken to analyze the impact of passenger's behavior on lighting, and on this basis the lighting energy consumption indicator is calculated.(6) On the basement of Little formula, the mutual relationship of average queue length, the maximum waiting time and the escalator service intensity are determined. A detailed analysis on the configuration and the energy consumption of the largest passenger volume day, holiday and normal working day was carried out, meanwhile, the subentry energy consumption comparison of the waiting time for 5 seconds,10 seconds and 30 seconds have been studied.(7)The establishment of the Data Envelopment Analysis (DEA) model and linear programming solving of the energy consumption factor, has helped to gain the relatively order of overall efficiency, pure technical efficiency, and scale efficiency. The effective way to achieve the DEA has been raised. By calculating the average cross section efficiency of each station, the overall efficiency has been sorted.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.