Research Article

Quantitative Estimation of Railway Vehicle Regenerative Energy Saving: “A Case of Addis Ababa Light Rail Transit (AALRT)”

Volume: 7 Number: 1 May 7, 2021
EN

Quantitative Estimation of Railway Vehicle Regenerative Energy Saving: “A Case of Addis Ababa Light Rail Transit (AALRT)”

Abstract

A rapidly growing demand and shortage of electric energy require mankind to efficiently use it, recuperate and store it from the existing system, when possible, for further applications whenever the need arises. Electric trains figure among big energy consumers and among different railway transportation services; light rail transit trains are characterized by frequent stoppings to entrain and detrain passengers. In their operation, traction drives are made to keep on braking in order to meet their service requirements between closely spaced passenger stations. The modern service braking system used is regenerative braking, which acts as an electric energy generator during the braking period. The objective of this paper is to estimate the magnitude of regenerative energy that can be recuperated as a percentage of train energy consumption on East-West (Ayat to Tolhailoch) and West-East (Tolhailoch-Ayat) directions of Addis Ababa Light Rail Transit. Mathematical equations have been used to calculate the energy consumed between stations followed by the quantification of regenerative energy at each passenger station. Considering the current average running speed (24km/h) of the line, it resulted that 26.31% and 28.18% of energy consumption for East-West and West-East directions respectively are saved through regenerative braking energy recuperation. From the above results, it was observed that the magnitude of regenerative energy strongly depends on the speed at which the train is running and the efficiencies of inverter and traction induction motor. 

Keywords

Supporting Institution

Rwanda Polytechnic and Addis Ababa University

Project Number

4

Thanks

We always thank our institution for the way equipped the labs for encouraging research.

References

  1. A. M. Mahdiyeh Khodaparastan, "Modeling and Simulation of Regenerative Braking Energy in DC Electric Rail Systems," p. 1.
  2. J. C. M. B. E. D. Nima Ghaviha, "Review of Application of Energy Storage Devices in Railway," 2016.
  3. P. Sharma, "Regenerative Braking-Methods to Efficiently Use Regenerated Energy," Journal of Electrical & Electronic Systems, vol. 4, no. 2, p. 1, 2015.
  4. H. C. K. H. A. a. B. K. Ibrahim Sengor, "Determination of Potential Regenerative Braking Energy in Railway Systems: A Case Study for Istanbul M1A Light Metro Line," Journal of Automation and Control Engineering, vol. 5, no. 1, p. 1, 2017.
  5. T. T. a. Y. W. Shuai Su, "Evaluation of Strategies to Reducing Traction," energies, 2016.
  6. S. F. a. B. K. S. S. S. Fazel, "Energy-efficient Emplacement of Reversible DC Traction Power Substations in Irban Rail Transport through Regenerative Energy Recovery," International Journal of Railway Research, 2015.
  7. R. A. S. a. K. R. P. M. G. Read, "Are Flywheels Right for Rail?," International Journal of Railway, 2009.
  8. J. L. J. d. S. J. A. a. H. B. M. Hedlund, "Flywheel energy storage for automotive applications," energies, 2015..

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Jean Marie Vianney Nkurunzıza This is me
0000-0002-5150-3631
Rwanda

Jean D'amour Nızeyımana This is me
0000-0002-6517-2116
Rwanda

Publication Date

May 7, 2021

Submission Date

December 12, 2020

Acceptance Date

March 15, 2021

Published in Issue

Year 2021 Volume: 7 Number: 1

APA
Nkurunzıza, J. M. V., Nızeyımana, J. D., & Turabımana, P. (2021). Quantitative Estimation of Railway Vehicle Regenerative Energy Saving: “A Case of Addis Ababa Light Rail Transit (AALRT)”. International Journal of Engineering Technologies IJET, 7(1), 9-19. https://doi.org/10.19072/ijet.839666
AMA
1.Nkurunzıza JMV, Nızeyımana JD, Turabımana P. Quantitative Estimation of Railway Vehicle Regenerative Energy Saving: “A Case of Addis Ababa Light Rail Transit (AALRT).” IJET. 2021;7(1):9-19. doi:10.19072/ijet.839666
Chicago
Nkurunzıza, Jean Marie Vianney, Jean D’amour Nızeyımana, and Pacifique Turabımana. 2021. “Quantitative Estimation of Railway Vehicle Regenerative Energy Saving: ‘A Case of Addis Ababa Light Rail Transit (AALRT)’”. International Journal of Engineering Technologies IJET 7 (1): 9-19. https://doi.org/10.19072/ijet.839666.
EndNote
Nkurunzıza JMV, Nızeyımana JD, Turabımana P (May 1, 2021) Quantitative Estimation of Railway Vehicle Regenerative Energy Saving: “A Case of Addis Ababa Light Rail Transit (AALRT)”. International Journal of Engineering Technologies IJET 7 1 9–19.
IEEE
[1]J. M. V. Nkurunzıza, J. D. Nızeyımana, and P. Turabımana, “Quantitative Estimation of Railway Vehicle Regenerative Energy Saving: ‘A Case of Addis Ababa Light Rail Transit (AALRT)’”, IJET, vol. 7, no. 1, pp. 9–19, May 2021, doi: 10.19072/ijet.839666.
ISNAD
Nkurunzıza, Jean Marie Vianney - Nızeyımana, Jean D’amour - Turabımana, Pacifique. “Quantitative Estimation of Railway Vehicle Regenerative Energy Saving: ‘A Case of Addis Ababa Light Rail Transit (AALRT)’”. International Journal of Engineering Technologies IJET 7/1 (May 1, 2021): 9-19. https://doi.org/10.19072/ijet.839666.
JAMA
1.Nkurunzıza JMV, Nızeyımana JD, Turabımana P. Quantitative Estimation of Railway Vehicle Regenerative Energy Saving: “A Case of Addis Ababa Light Rail Transit (AALRT)”. IJET. 2021;7:9–19.
MLA
Nkurunzıza, Jean Marie Vianney, et al. “Quantitative Estimation of Railway Vehicle Regenerative Energy Saving: ‘A Case of Addis Ababa Light Rail Transit (AALRT)’”. International Journal of Engineering Technologies IJET, vol. 7, no. 1, May 2021, pp. 9-19, doi:10.19072/ijet.839666.
Vancouver
1.Jean Marie Vianney Nkurunzıza, Jean D’amour Nızeyımana, Pacifique Turabımana. Quantitative Estimation of Railway Vehicle Regenerative Energy Saving: “A Case of Addis Ababa Light Rail Transit (AALRT)”. IJET. 2021 May 1;7(1):9-19. doi:10.19072/ijet.839666

88x31.png Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)