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The Assessment of Energy Efficiency versus Planning of Rail Freight Traffic: A Case Study on the Example of Poland

Author

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  • Piotr Gołębiowski

    (Faculty of Transport, Warsaw University of Technology, 00662 Warsaw, Poland)

  • Marianna Jacyna

    (Faculty of Transport, Warsaw University of Technology, 00662 Warsaw, Poland)

  • Andrzej Stańczak

    (PKP CargoTabor Sp. z o.o., Management and Production Planning Office, 02021 Warsaw, Poland)

Abstract

The issues addressed by the article concern the assessment of energy efficiency in rail transport, resulting from the proper organization of rail traffic. The problems related to energy consumption and, thus, the negative impact of rail transport on the natural environment are highly significant in terms of the green deal concept, climate change and sustainable development. In this article, energy efficiency is investigated in the context of minimizing the energy consumption necessary to satisfy a specific transport requirement. The essence of this article is to present an approach to energy-efficient planning of rail freight traffic. This article aims to develop a method covers the allocation of railway vehicles dedicated to freight traffic (locomotives and railcars) to perform a defined transport task, taking into account the energy efficiency assessment of the solution, routing the train launched with regard to the accomplishment of the defined transport task on the railway network, and determining the conditions of transport for a defined transport task, taking into account the allocated rolling stock (locomotives and railcars) and the route. In this article, based on the presented state of knowledge, a decision-making model has been proposed, including the model’s parameters, the values being searched for, indicators for assessing the quality of the solution, as well as the limitations and boundary conditions of the problem. The function of minimizing the energy consumption necessary to transport a shipment within the railway network (determining the energy efficiency of the proposed solution) has been proposed as the criterion. In addition, a description of the proprietary method of selecting rolling stock for accomplishing tasks, based on the assessment of the energy efficiency of the solution and a case study illustrating the operation of the method on the example of the area of Poland, has been presented.

Suggested Citation

  • Piotr Gołębiowski & Marianna Jacyna & Andrzej Stańczak, 2021. "The Assessment of Energy Efficiency versus Planning of Rail Freight Traffic: A Case Study on the Example of Poland," Energies, MDPI, vol. 14(18), pages 1-18, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:18:p:5629-:d:630961
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    1. Lusby, Richard M. & Larsen, Jesper & Bull, Simon, 2018. "A survey on robustness in railway planning," European Journal of Operational Research, Elsevier, vol. 266(1), pages 1-15.
    2. Ruzzenenti, F. & Basosi, R., 2009. "Evaluation of the energy efficiency evolution in the European road freight transport sector," Energy Policy, Elsevier, vol. 37(10), pages 4079-4085, October.
    3. Meng, Fanxin & Liu, Gengyuan & Yang, Zhifeng & Casazza, Marco & Cui, Shenghui & Ulgiati, Sergio, 2017. "Energy efficiency of urban transportation system in Xiamen, China. An integrated approach," Applied Energy, Elsevier, vol. 186(P2), pages 234-248.
    4. Abbink, E.J.W., 2008. "Solving large scale crew scheduling problems by using iterative partitioning," Econometric Institute Research Papers EI 2008-03, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Boban Djordjević & Evelin Krmac, 2019. "Evaluation of Energy-Environment Efficiency of European Transport Sectors: Non-Radial DEA and TOPSIS Approach," Energies, MDPI, vol. 12(15), pages 1-27, July.
    6. Teodor Gabriel Crainic & Michael Florian & José-Eugenio Léal, 1990. "A Model for the Strategic Planning of National Freight Transportation by Rail," Transportation Science, INFORMS, vol. 24(1), pages 1-24, February.
    7. Wang, Yihui & D’Ariano, Andrea & Yin, Jiateng & Meng, Lingyun & Tang, Tao & Ning, Bin, 2018. "Passenger demand oriented train scheduling and rolling stock circulation planning for an urban rail transit line," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 193-227.
    8. Olli‐Pekka Hilmola, 2007. "European railway freight transportation and adaptation to demand decline," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 56(3), pages 205-225, March.
    9. Teodor Crainic & Jacques-A. Ferland & Jean-Marc Rousseau, 1984. "A Tactical Planning Model for Rail Freight Transportation," Transportation Science, INFORMS, vol. 18(2), pages 165-184, May.
    10. Crainic, Teodor Gabriel & Laporte, Gilbert, 1997. "Planning models for freight transportation," European Journal of Operational Research, Elsevier, vol. 97(3), pages 409-438, March.
    11. Mihaela Popescu & Alexandru Bitoleanu, 2019. "A Review of the Energy Efficiency Improvement in DC Railway Systems," Energies, MDPI, vol. 12(6), pages 1-25, March.
    12. Zhang, Congyu & Ho, Shih-Hsin & Chen, Wei-Hsin & Fu, Yujie & Chang, Jo-Shu & Bi, Xiaotao, 2019. "Oxidative torrefaction of biomass nutshells: Evaluations of energy efficiency as well as biochar transportation and storage," Applied Energy, Elsevier, vol. 235(C), pages 428-441.
    13. Abbink, E.J.W. & Albino, L. & Dollevoet, T.A.B. & Huisman, D. & Roussado, J. & Saldanha, R.L., 2010. "Solving Large Scale Crew Scheduling Problems in Practice," Econometric Institute Research Papers EI 2010-63, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    14. Jacek Kukulski & Piotr Gołębiowski & Jacek Makowski & Ilona Jacyna-Gołda & Jolanta Żak, 2021. "Effective Method for Diagnosing Continuous Welded Track Condition Based on Experimental Research," Energies, MDPI, vol. 14(10), pages 1-22, May.
    15. Piotr Gołębiowski & Jolanta Żak & Ilona Jacyna-Gołda, 2020. "Approach to the Proecological Distribution of the Traffic Flow on the Transport Network from the Point of View of Carbon Dioxide," Sustainability, MDPI, vol. 12(17), pages 1-16, August.
    16. Marek Stawowy & Adam Rosiński & Mirosław Siergiejczyk & Krzysztof Perlicki, 2021. "Quality and Reliability-Exploitation Modeling of Power Supply Systems," Energies, MDPI, vol. 14(9), pages 1-16, May.
    17. Pöschl, Martina & Ward, Shane & Owende, Philip, 2010. "Evaluation of energy efficiency of various biogas production and utilization pathways," Applied Energy, Elsevier, vol. 87(11), pages 3305-3321, November.
    18. Wang, Ning & Shen, Ruifang & Wen, Zongguo & De Clercq, Djavan, 2019. "Life cycle energy efficiency evaluation for coal development and utilization," Energy, Elsevier, vol. 179(C), pages 1-11.
    19. Lindholm, Maria & Behrends, Sönke, 2012. "Challenges in urban freight transport planning – a review in the Baltic Sea Region," Journal of Transport Geography, Elsevier, vol. 22(C), pages 129-136.
    20. Kwon, Oh Kyoung & Martland, Carl D. & Sussman, Joseph M., 1998. "Routing and scheduling temporal and heterogeneous freight car traffic on rail networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 34(2), pages 101-115, June.
    21. Adrián Fernández-Rodríguez & Antonio Fernández-Cardador & Asunción P. Cucala & Maria Carmen Falvo, 2019. "Energy Efficiency and Integration of Urban Electrical Transport Systems: EVs and Metro-Trains of Two Real European Lines," Energies, MDPI, vol. 12(3), pages 1-20, January.
    22. Crainic, Teodor Gabriel & Roy, Jacques, 1988. "OR tools for tactical freight transportation planning," European Journal of Operational Research, Elsevier, vol. 33(3), pages 290-297, February.
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