THERMAL SCIENCE

International Scientific Journal

MODELLING OF FUEL CONSUMPTION AND FUEL COST ANALYSIS FOR VEHICLES COMBINATION INTENDED FOR COMPRESSED NATURAL GAS TRANSPORTATION

ABSTRACT
The paper presents a fuel consumption estimation model for vehicles with different fuel types, diesel and compressed natural gas, whose main activity is the transportation of compressed natural gas. The model combines the effects of operational conditions and technical characteristics of vehicles and bodies on fuel consumption. Its output results are displayed as fuel consumption expressed in kilograms of fuel burned per kilometer traveled, depending on the operational speed and the amount of gas transported. The approach includes the effects of different body types, pressure vessels made of steel and composite materials, and their technical characteristics concerning volumes, pressures, and construction materials on transported amount of gas, vehicle mass utilization, fuel consumption, and fuel costs. Considering that the paper analyzes the fuel consumption of vehicles differing in tractor fuel type and the amount of compressed natural gas transported in different body types, fuel costs were also analyzed. The results show that vehicle combinations with pressure vessels made of composite materials transport an average of 44% more gas and have lower fuel consumption for both fuel types. Fuel costs are 36% lower on average for vehicles powered by compressed natural gas and bodies with pressure vessels made of composite materials.
KEYWORDS
PAPER SUBMITTED: 2024-12-08
PAPER REVISED: 2025-02-15
PAPER ACCEPTED: 2025-02-21
PUBLISHED ONLINE: 2025-04-05
DOI REFERENCE: https://doi.org/10.2298/TSCI241208072V
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2025, VOLUME 29, ISSUE Issue 5, PAGES [3983 - 4000]
REFERENCES
  1. Barth, M., et al., Development of a Heavy-Duty Diesel Modal Emissions and Fuel Consumption Model, California Partners for Advanced Transportation Technology, UC Berkeley, Berkeley, Cal., USA, 2005
  2. Edwardes, W., et al., Virginia Tech Comprehensive Power-Based Fuel Consumption Model, Transportation Research Record, 242 (2014), 1, pp. 1-9
  3. Peng, C., et al., Transient Fuel Consumption Prediction for Heavy-Duty Trucks Using on-Road Measurements, International Journal of Sustainable Transportation, 17 (2023), 8, pp. 956-967
  4. ***. EPA, Environmental Protection Agency, Overview of EPA's MOtor Vehicle Emission Simulator (MOVES4), Washington D.C., USA, 2023
  5. Ankur, A. K., et al., A Versatile Model for Estimating the Fuel Consumption of a Wide Range of Transport Modes, Energy, 15 (2022), 6, 2232
  6. Dindarloo, S. R., et al., Determinants of Fuel Consumption in Mining Trucks, Energy, 112 (2016), Oct., pp. 232-240
  7. Alamdari, S., et al., Application of Machine Learning Techniques to Predict Haul Truck Fuel Consumption in Open-Pit Mines, Journal of Mining and Environment, 13 (2022), 1, pp. 69-85
  8. Pereira, G., et al., Fuel Consumption Prediction for Construction Trucks, A Non-Invasive Approach Using Dedicated Sensors and Machine Learning, Infrastructures, 6 (2021), 11, 157
  9. Katreddi, S., et al., Trip Based Modelling of Fuel Consumption in Modern Heavy-Duty Vehicles Using Artificial Intelligence, Energies, 14 (2021), 24, 8592
  10. Gong, J., et al., A Comparative Study on Fuel Consumption Prediction Methods of Heavy-Duty Diesel Trucks Considering 21 Influencing Factors, Energies, 14 (2021), 23, 8106
  11. Perrotta, F., et al., Application of Machine Learning for Fuel Consumption Modelling of Trucks, Proceedings, IEEE International Conference on Big Data, Boston, Mass., USA, 2017, pp. 3810-3815
  12. Fang, C., et al., Fine-Grained Fuel Consumption Prediction, Proceedings, 28th ACM International Conference on Information and Knowledge Management, New York, USA, 2019, pp. 2783-2791
  13. Kan, Y., et al., A Deep Learning Engine Power Model For Estimating The Fuel Consumption Of Heavy-Duty Trucks, Proceedings, 6th IEEE International Energy Conference, Gammarth, Tunisia, 2020, pp. 182-187
  14. Ivković, I., et al., The Estimation of GHG Emission Costs in Road and Air Transport Sector: Case Study of Serbia, Transport, 33 (2018), 1, pp. 260-267
  15. ***, Economic Commission for Europe Inland Transport Committee, European Agreement Concerning the International Carriage of Dangerous Goods by Road (ECE/TRANS/326 Volumes I and II), United Nations, New York and Geneva, 2023
  16. Reddi, K., et al., Techno-Economic Analysis of Conventional and Advanced High-Pressure Tube Trailer Configurations for Compressed Hydrogen Gas Transportation and Refueling, International Journal of Hydrogen Energy, 43 (2018), 9, pp. 4428-4438
  17. Mair, G. W., et al., Safety Criteria for the Transport of Hydrogen in Permanently Mounted Composite Pressure Vessels, International Journal of Hydrogen Energy, 46 (2021), 23 pp. 12577-12593
  18. Solazzi, L., Vaccari, M., Reliability Design of a Pressure Vessel Made of Composite Materials, Composite Structures, 279 (2022), 114726
  19. Azeem, M., et al., Application of Filament Winding Technology in Composite Pressure Vessels and Challenges: A Review, Journal of Energy Storage, 49 (2022), 103468
  20. ***, Public Enterprise Roads of Serbia, Reference system, www.putevi-srbije.rs/referentni-sistem
  21. ***, Republic Hydrometeorological Institute of Serbia, www.hidmet.gov.rs
  22. ***, Mercedes Benz Truck Bodybuilder Portal, Tehnical data, bb-portal.mercedes-benz-truck.com/
  23. ***, Iveco Body Builder, Tehnical specification, newibb.iveco.com/
  24. Newton, S., Serbian National Transport Model System, Report No. R20090181/30670000/SNE/RLO, Zoetermeer, Netherlands, 2009
  25. Kuzović, L., et al., Capacity of Roads (in Serbian), Gradjevinska Knjiga, Belgrade, Yugoslavia, 1989
  26. Selifonov, V. V., et al., Theory of the Vehicles (in Russian), Moscow State Mechanical Engineering University MAMI, Moscow, Russian Federation, 2007
  27. Kravets, V., et al., Technique for Determining the Fuel Consumption of a Vehicle on a Given Route, Proceedings, 2nd International Conference on Modelling, Identification and Control (MIC 2015), Dordrecht, Netherlands, 2015, pp. 36-38
  28. ***, SERBIAGAS, Composition of natural gas, www.srbijagas.com
  29. Schaschke, C., et al., Density and Viscosity Measurement of Diesel Fuels at Combined High Pressure and Elevated Temperature, Processes, 1 (2013), 2, pp. 30-48
  30. Kuzović, L., Evaluation in the Management of the Development and Exploitation of the Road Network (in Serbian), University of Belgrade - Faculty of Transport and Traffic Engineering, Belgrade, Yugoslavia, 1994
  31. Litvinov, A. S., et al., Theory of Operational Properties (in Russian), Mechanical Engineering, Moscow, Russian Federation, 1989
  32. Ivković, I., Motor Vehicles (in Serbian), University of Belgrade - Faculty of Transport and Traffic Engineering, Belgrade, Serbia, 2020
  33. Khusainov, A., Vehicle Performance Properties (in Russian), Ulyanovsk State Technical University ULSTU, Russian Federation, Ulyanovsk, 2011
  34. Vašalić, D., et al., Prediction of Fuel and Exhaust Emission Costs of Heavy-Duty Vehicles Intended for Gas Transportation, Sustainability, 16 (2024), 16, 5407
  35. ***, Ministry of Construction, Transport and Infrastructure of the Republic of Serbia, Regulation on the division of motor and trailer vehicles and technical conditions for vehicles in road traffic (No. 48/2023- 101), Belgrade, Serbia, 2023
  36. ***, GPSA, Gas Processors Suppliers Association, Engineering Data Book, 12th ed., Tulsa, Oklahoma, USA, 2004
  37. ***, Public Enterprise Roads of Serbia, Traffic counting, www.putevi-srbije.rs/brojanje-saobraćaja
  38. Bosch, R., GmbH, Automotive Handbook, 11th ed., Wiley, New York, USA, 2022

2025 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence