Servicios Personalizados
Revista
Articulo
Indicadores
- Citado por SciELO
- Accesos
Links relacionados
- Similares en SciELO
Compartir
Journal of applied research and technology
versión On-line ISSN 2448-6736versión impresa ISSN 1665-6423
J. appl. res. technol vol.12 no.2 Ciudad de México abr. 2014
Ensuring a Reasonable Passenger Capacity Utilization Rate of a Train for Its Sustainably Efficient Transport
X. Feng*1, Q. Wang2, Y. Liu3, B. Xu4, H. Liu5, and Q. Sun6
1,2,3,4,5 MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing, P.R. China. * charles.x.feng@gmail.com
6 School of Economics and Management, Chang'an University Xi'an, P.R. China.
ABSTRACT
Based on simulations of the transports of a typically formed Chinese intercity passenger train hauled respectively by major types of the locomotives on a certain railway line in China, this research analyzes the changes of the traction energy cost intensity and passenger transport efficiency of the train with varying its passenger capacity utilization rate and target speed. It is found that if the passenger capacity utilization rate of such a train is higher than 60.00%, the effect of its passenger capacity utilization rate and target speed on its traction energy cost intensity and passenger transport efficiency is relatively very small. In contrast, if the passenger capacity utilization rate of the train is reduced from 40.00%, the efficiencies of its traction energy cost and passenger transport both decrease obviously and such decreases are evidently affected by its target speed. Therefore, strictly preventing the passenger capacity utilization rate of a conventional intercity passenger train from decreasing from 40.00% in particular and meanwhile striving to make its passenger capacity utilization rate higher than 60.00% as new evaluation benchmarking are able to effectively improve the railway passenger transport operation management in China.
Keywords: intercity passenger train, traction energy cost intensity, transport efficiency, passenger capacity utilization rate, target speed, traction calculation simulation.
DESCARGAR ARTÍCULO EN FORMATO PDF
Acknowledgements
This research is supported by Program for New Century Excellent Talents in University (NCET-13-0655), National Basic Research Program of China (2012CB725406) and National Natural Science Foundation of China (71201006; 71131001).
References
[1] National Bureau of Statistics of China. "China Statistical Yearbook 2012", Beijing, China: China Statistics Press, 2012. [ Links ]
[2] Din, J. Kim, H. Kim, "Joint power and beam angle control for energy efficiency in lighting control systems", Journal of Applied Research and Technology , vol. 11, no.3, pp. 402-407, Jun. 2013. [ Links ]
[3] G.F. Ignacio and G.A. Alberto, "Can high-speed trains run faster and reduce energy consumption?", Procedia -Social and Behavioral Sciences, vol.48, pp. 827-837, Jun. 2012. [ Links ]
[4] R. Liu and I. Golovitcher, "Energy-efficient operation of rail vehicles", Transportation Research Part A: Policy and Practice, vol. 37, no.10, pp. 917-932, Dec. 2003. [ Links ]
[5] K. Kim and S. Chien, "Simulation-based analysis of train controls under various track alignments", Journal of Transportation Engineering, vol. 136, no.11, pp. 937-948, Nov. 2010. [ Links ]
[6] K. Kim and S. Chien, "Optimal train operation for minimum energy consumption considering track alignment, speed limit, and schedule adherence", Journal of Transportation Engineering, vol. 137, no.9, pp. 665-673, Sep. 2011. [ Links ]
[7] Y. Ding, H. Liu, Y. Bai and F. Zhou, "A two-level optimization model and algorithm for energy-efficient urban train operation", Journal of Transportation Systems Engineering and Information Technology, vol. 11, no.1, pp. 96-101, Feb. 2011. [ Links ]
[8] Institut fur Energieund Umweltforschung Heidelberg GmbH. "Energy Savings by Light-Weighting (Final Report)", Heidelberg, Germany: International Aluminium Institute, 2003. [ Links ]
[9] E. Lindgreen and S.C. Sorenson, "Simulation of Energy Consumption and Emissions from Rail Traffic Evaluation", Lyngby, Denmark: Technical University of Denmark, 2005. [ Links ]
[10] X. Feng, "Optimization of target speeds of highspeed railway trains for traction energy saving and transport efficiency improvement", Energy Policy, vol. 39, no.12, pp. 7658-7665, Dec. 2011. [ Links ]
[11] M. Chou and X. Xia, "Optimal cruise control of heavy-haul trains equipped with electronically controlled. [ Links ]
[12] Y.V. Bocharnikov, A.M. Tobias, C. Roberts, S. Hillmansen and C.J. Goodman, "Optimal driving strategy for traction energy saving on DC suburban railways", IET Electric Power Application, vol. 1, no. 5, pp. 675-682, Sep. 2007. [ Links ]
[13] S. Lu, S. Hillmansen and C. Roberts, "A powermanagement strategy for multiple-unit railroad vehicles", IEEE Transactions on Vehicular Technology, vol. 60, no.2, pp. 406-420, Feb. 2011. [ Links ]
[14] B.R. Ke, C.L. Lin and C.W. Lai, "Optimization of train-speed trajectory and control for mass rapid transit systems", Control Engineering Practice, vol. 19, no. 7, pp. 675-687, Jul. 2011. [ Links ]
[15] X. Feng, B. Mao, X.J. Feng and J. Feng, "Study on the maximum operation speeds of metro trains for energy saving as well as transport efficiency improvement", Energy, vol. 36, no. 11, pp. 6577-6582, Nov. 2011. [ Links ]
[16] X. Feng, J. Feng, K. Wu, H. Liu and Q. Sun, "Evaluating target speeds of passenger trains in China for energy saving in the effect of different formation scales and traction capacities", International Journal of Electrical Power & Energy Systems, vol. 42, no.1, pp. 621-626, Nov. 2012. [ Links ]
[17] X. Feng, H. Liu, H. Zhang, B. Wang and Q. Sun, "Rational formations of a metro train improve its efficiencies of both traction energy utilization and passenger transport", Mathematical Problems in Engineering, vol. 2013, Article ID 643274, 7 pages, Sep. 2013. [ Links ]
[18] F. Ciccarelli, D. lannuzzi and P. Tricoli, "Control of metro-trains equipped with onboard supercapacitors for energy saving and reduction of power peak demand", Transportation Research Part C: Emerging Technologies, vol. 24, pp. 36-49, Oct. 2012. [ Links ]
[19] R. Teymourfar, B. Asaei, H. Iman-Eini and R. Nejati fard, "Stationary super-capacitor energy storage system to save regenerative braking energy in a metro line", Energy Conversion and Management, vol. 56, pp. 206-214, Apr. 2012. [ Links ]
[20] K.K. Wong and T.K. Ho, "Coast control for mass rapid transit railways with searching methods", lEE Proceedings-Electric Power Application, vol. 151, no.3, pp. 365-376, May 2004. [ Links ]
[21] K.K. Wong and T.K. Ho, "Dwell-time and run-time control for DC mass rapid transit railways", IET Electric Power Applications, vol. 1, no.6, pp. 956-966, Nov. 2007. [ Links ]
[22] S. Acikbas and M.T. Soylemez, "Coasting point optimisation for mass rail transit lines using artificial neural networks and genetic algorithms", IET Electric Power Applications, vol. 2, no.3, pp. 172-182, May 2008. [ Links ]
[23] L. Yang, K. Li, Z. Gao and X. Li, "Optimizing trains movement on a railway network", Omega, vol. 40, no.5, pp. 619-633, Oct. 2012. [ Links ]
[24] A.P. Cucala, A. Fernandez, C. Sicre and M. Dominguez, "Fuzzy optimal schedule of high speed train operation to minimize energy consumption with uncertain delays and driver's behavioral response", Engineering Applications of Artificial Intelligence, vol. 25, no.8, pp. 1548-1557, Dec. 2012. [ Links ]
[25] X. Li, D. Wang, K. Li and Z. Gao, "A green train scheduling model and fuzzy multi-objective optimization algorithm", Applied Mathematical Modelling, vol. 37, no.4, pp. 2063-2073, Feb. 2013. [ Links ]
[26] Z. Yang, X. Huang, S. Wu and H. Peng, "Traction technology for Chinese railways". In Proceedings of 2010 International Power Electronics Conference, IEEE (Institute of Electrical and Electronics Engineers). Sapporo, Japan, 2010, pp. 2842-2848. [ Links ]
[27] J. Yan and M. Fu, "Automotive Engineering (3rd Ed.)", Beijing, China: China Railway Publishing House, 2008. [ Links ]
[28] International Union of Railways. "Loadings of Coach Bodies and Their Components (3rd Ed.)", Paris, France: International Union of Railways, 1990. [ Links ]
[29] S. Vukmirovic, A. Erdeljan, L. Imre, D. Capko, "Optimal workflow scheduling in critical infrastructure systems with neural networks", Journal of Applied Research and Technology, vol. 10, no. 2, pp. 114-121. [ Links ]