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Monitoring energy usage of heavy-haul iron ore trains with on-board energy meter for improving energy efficiency
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Philipp Geiberger, Zhendong Liu, Mats Berg, Christoph Domay
Railway Sciences | 2023, 2(2) : 243 - 256
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Railway Sciences | 2023, 2(2): 243-256
Research paper
Monitoring energy usage of heavy-haul iron ore trains with on-board energy meter for improving energy efficiency
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Philipp Geiberger, Zhendong Liu, Mats Berg, Christoph Domay
Affiliations
  • Department of Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden
  • Malmtrafik, LKAB, Kiruna, Sweden
Published: 2023-06-10 doi: 10.1108/RS-04-2023-0020
Outline
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Purpose

For billing purposes, heavy-haul locomotives in Sweden are equipped with on-board energy meters, which can record several parameters, e.g., used energy, regenerated energy, speed and position. Since there is a strong demand for improving energy efficiency in Sweden, data from the energy meters can be used to obtain a better understanding of the detailed energy usage of heavy-haul trains and identify potential for future improvements.

Design/methodology/approach

To monitor energy efficiency, the present study, therefore, develops key performance indicators (KPIs), which can be calculated with energy meter data to reflect the energy efficiency of heavy-haul trains in operation. Energy meter data of IORE class locomotives, hauling highly uniform 30-tonne axle load trains with 68 wagons, together with additional data sources, are analysed to identify significant parameters for describing driver influence on energy usage.

Findings

Results show that driver behaviour varies significantly and has the single largest influence on energy usage. Furthermore, parametric studies are performed with help of simulation to identify the influence of different operational and rolling stock conditions, e.g., axle loads and number of wagons, on energy usage.

Originality/value

Based on the parametric studies, some operational parameters which have significant impact on energy efficiency are found and then the KPIs are derived. In the end, some possible measures for improving energy performance in heavy-haul operations are given.

Energy efficiency  /  Heavy-haul train  /  On-board energy meter
Philipp Geiberger, Zhendong Liu, Mats Berg, Christoph Domay. Monitoring energy usage of heavy-haul iron ore trains with on-board energy meter for improving energy efficiency[J]. Railway Sciences, 2023 , 2 (2) : 243 -256 . DOI: 10.1108/RS-04-2023-0020
Year 2023 volume 2 Issue 2
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Article Info
doi: 10.1108/RS-04-2023-0020
  • Receive Date:2023-04-14
  • Online Date:2026-06-11
  • Published:2023-06-10
Article Data
Affiliations
History
  • Received:2023-04-14
  • Revised:2023-05-15
  • Accepted:2023-05-15
Affiliations
    Department of Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden
    Malmtrafik, LKAB, Kiruna, Sweden

Corresponding:

Zhendong Liu can be contacted at:
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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