Comparatively Study On Supplying Regularity And Mode Of Multiple Compressed Natural Gas Station

Compressed natural gas (CNG), as an effective way of gas supplywith flexible operations is increasingly becoming common gas sourcemarket for vehicle and civil use especially in the regional area lackingpipeline network. CNG gradually composite and form compositecompressed natural gas filling station supply system. The paper studiedthe core part of the system, comparison of the applicability of fillingstation type, gas stations filling scale and safety evaluation, the regulationtechnology of constant flow rate and variable in the load supply stations,optimization of scheduling for Transfer Vehicle transportation, so that ithelps the gas supply system become more reasonable, safe to promotedomestic compressed natural gas industry.(The article reads as follows:)Based on the research on the development of domestic compressednatural gas industry, the paper analyzed current status of both vehicle andcivil use of compressed natural gas vehicles in Beijing, didcomprehensive analysis of domestic and foreign research objectives, weidentified research priorities and problems to determine the compositecompressed natural gas supply system. Conventional gas station for thevehicle as mother station supply system is an effective complement torelieve shortcomings of the load supply systems under current mother anddaughter gas supply station condition. The article conducted acomprehensive analysis using Fuzzy comprehensive evaluation modeland conventional mother station as reasonable guidance to match avariety of station types and created steady-state (static), the mathematicalmodel of transient flow state. The network of filling stations around thedifferent working conditions was analyzed by using the fluid state anddynamic simulation software to determine the model parameters anddefined the location of the stations need to meet the natural gas pipelinenetwork conditions.The paper established a composite compressed natural gas fillingstations load forecasting model with actual forecast good results throughthe use of comprehensive analysis, with Artificial neural network model,ARMA models of linear regression model and the advantages anddisadvantages. Natural gas load throughout the year by studying the compression of thetime variation of at different times with the corresponding modelprediction, including neural networks, time series, linear regression,making full-year consolidated forecast model optimization. Case Study ofBeijing, the historical data were analyzed using gas laws, obtained gas(mother) station, month, day and time coefficient of uniformity for thecomplex layout of compressed natural gas filling stations, load distributionprovide predictive method and basis.The paper determine the appropriate equipment required to use theproduct in terms of safely utilization of gas cylinders and group sharingby analyzing influence factors in the supply stations and the securitydistance scale storage facilities for the typical (of objects). CNG cylindersconstructed fault tree group of instances of dangerous levels of judgmentsthrough fire incident investigation, by the leakage of gas cylinder. Theactual example is used to determine the risk factors. Analysis method wasestablished by studying the leakage model for pipeline failure, leakage ofgas storage facilities, fire personal, social risk to measure the securitystations.Gas sectors through the establishment of additional transit vehiclesqueuing model, multi-depot (the target) the minimum transportation costmodel, Of the mother CNG filling stations in the supply system oftransport transit vehicles to carry out a full process of optimization,Application Examples verify the feasibility of the model; the introductionof transportation risk index, as the evaluation of road transport CNGtransit vehicles and the consequences of accidents and leakage indicators,structural optimization model for multi-destination path. CNG transitvehicles for optimizing transportation scheduling system provides atheoretical basis and methods. Compressed natural gas supply system inBeijing, for example, the city gas pipeline network stations as an integralpart of the study, Pipe network built using the static and dynamic loadforecasting model, failure leakage model, transport model, Stations on thescale of development of the station-type model, the network conditions,load variation, storage size and hazardous areas and means oftransportation connecting the site were analyzed and summarized;Storage facilities made of fire impact, filling uneven load factor,transportation and reasonable allocation scheme for the development ofrelated industries in other cities to provide information. The results showthat filling of the pipe network transients, transfer vehicle duringtransport risk assessment, related to the fluid analysis, automationnetworking, transportation, environment, and many other dynamic factors,Gas pipeline network should SCADA systems, traffic control systems, linkage control, unified planning and scheduling.