Calculation model of the tractor transport set – Economic and environmental indicators

Kubín K., Pexa M., Holúbek M. (2021): Calculation model of the tractor transport set – Economic and and environmental indicators. Res. Agr. Eng., 67: 65–73.

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This contribution presents a calculation method of indicators in agricultural transport. The tractor Zetor Forterra 8641 with a silage trailer was used. Calculations were performed with various weights of transported material: 2.5, 3.6, 5.8, 7.4 and 9.0 tons. The model was created concerning significant parameters of the transport set, engine characteristics and route. It considered splitting of the route into elementary sections, in which important route parameters were regarded as constant. Indicators were defined in every section (fuel consumption, emissions, etc.) and overall values were calculated as a sum. The set with 7.4 t of load reached the lowest unit costs 20.62 CZK·tkm–1, transport output 79.51 tkm·h–1 and unit consumption 0.14 L·tkm–1. The set with the maximum load 9.0 t reached output 86.05 tkm·h–1 but unit costs were 20.68 CZK·tkm–1. Using the maximum capacity was not the most effective option. When the weight of a load increased (from 2.5 to 9.0 t), driving time extended from 0.28 to 0.46 h and hourly transportation output increased from 38.60 to 86.05 tkm·h–1, unit consumption decreased from 0.24 to 0.13 L·tkm–1. Total emissions significantly increased, but unit emissions decreased in average two times for each pollutant.

Bauer F., Sedlák P., Šmerda T. (2006): Traktory. Prague, Profi Press.
Bulgakov V., Adamchuk V., Nozdrovický L., Kuvachov V. (2018): Study of effectiveness of controlled traffic farming system and wide span self-propelled gantry-type machine. Re-search in Agriculture Engineering, 64: 1–7.
Cutini M., Bisaglia C. (2016): Development of a dynamometric vehicle to assess the drawbar per-formance of high-powered agricultural tractors. Journal of Terramechanics, 65: 73–84.
Dyer J. A., Desjardins R. L. (2003): Simulated farm fieldwork, energy consumption and related greenhouse gas emissions in Canada. Biosystems Engineering, 85: 503–513.
Ettl J., Bernhardt H., Pickel P., Remmele E., Thuneke K., Emberger P. (2018): Transfer of agricultural work operation profiles to a tractor test stand for exhaust emission evaluation. Biosystems Engineering, 176: 185–197.
Grisso R.D., Vaughan D.H., Roberson G.T. (2008): Fuel prediction for specific tractor mod-els. Applied Engineering in Agriculture, 24: 423–428.
Juostas A., Janulevičius A. (2008): Investigation of tractor engine power and economical working conditions utilization during transport operation. Transport, 23: 37–43.
Králik M., Jablonický J., Tkáč Z., Hujo Ľ., Uhrinová D., Kosiba J., Tulik J., Záhorská R. (2016): Monitoring of selected emissions of internal combustion engine. Research in Agricultural Engi-neering, 62: S66–S70.
Kuchar P., Halenár M., Hajdák V. (2017): Technical-economic analysis and evaluation of transport organization. In: Proceedings of the 19th International Conference of Young Scien-tists. Prague, Sep 13–14, 2017: 116-121.
Kumar R., Pandey K.P. (2009): A program in Visual Basic for predicting haulage and field per-formance of 2WD tractors. Computers and Electronics in Agriculture, 67: 18–26.
Kvíz Z., Kroulík M. (2017): Automatic guidance systems in agricultural machinery as a tool for drivers' mental strain and workload relief. Research in Agricultural Engineering, 63: S66–S72.
Lindgren M., Hansson P.A. (2004): Effects of transient conditions on exhaust emissions from two non-road diesel engines. Biosystems Engineering, 87: 57–66.
Ince E., Güler M.A. (2020): On the advantages of the new power-split infinitely variable trans-mission over conventional mechanical transmissions based on fuel consumption analysis. Journal of Cleaner Production, 244: 118795.
Mimra M., Kavka M., Kumhála F. (2017): Risk analysis of the business profitability in agricultural companies using combine harvesters. Research in Agricultural Engineering, 63: 99–105.
Pexa M., Kubín K., Novák M., Pošta J. (2010): Fuel consumption and emissions of tractor Zetor Forterra 8641. Acta Technologica Agriculturae, 13: 79–82.
Polcar A., Vít M., Čupera J. (2016): Possibilities to reduce operating costs in transport of agricultural crops. Sugar and Sugar Beet Journal, 132: 230–233.
Sahu R.K., Raheman H. (2007): A decision support system on matching and field performance prediction of tractor-implement system. Computers and Electronics in Agriculture, 60: 76–86.
Schlosser J.F., de Farias M.S., Estrada J.S., dos Santos G.O., Gil E. (2017): Performance and emission of pollutants of an agricultural engine with two power take-off settings. Engenharia Agricola, 37: 277–285.
Souček J., Pražan R., Roy A., Plíva P., Jelínek A., Vegricht J. (2017): Comparison of logistic, energy and exploitative parameters of compost and manure application by spreaders. Research in Agricultural Engineering, 63: S33–S39.
Søgaard H.T., Sørensen C.G. (2004): A model for optimal selection of machinery sizes within the farm machinery system. Biosystems Engineering, 89: 13–28.
Syrový O. (2008): Doprava v Zemědělství. Prague, Profi Press.
Syrový O., Podpěra V. (2009): Simulation mathematical model of expert system for working pro-cesses management. Research in Agricultural Engineering 55: 1–9.
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