Korean Journal of Agricultural Science (농업과학연구)

Institute of Agricultural Science, CNU (충남대학교 농업과학연구소)
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Analysis of engine load factor for a 90 kW agricultural combine harvester based on working speed

  • Young-Woo Do (Department of Bio-Industrial Machinery Engineering, Kyungpook National University) ;
  • Taek-Jin Kim (Department of Drive System Team, TYM R&D Center) ;
  • Ryu-Gap Lim (Department of Smart Agriculture, Korea Agriculture Technology Promotion Agency) ;
  • Seung-Yun Baek (Department of Smart Agriculture Systems, Chungnam National University) ;
  • Seung-Min Baek (Department of Smart Agriculture Systems, Chungnam National University) ;
  • Hyeon-Ho Jeon (Department of Smart Agriculture Systems, Chungnam National University) ;
  • Yong-Joo Kim (Department of Smart Agriculture Systems, Chungnam National University) ;
  • Wan-Soo Kim (Department of Bio-Industrial Machinery Engineering, Kyungpook National University)
  • Received : 2023.07.31
  • Accepted : 2023.09.14
  • Published : 2023.12.01
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Abstract

This study aimed to evaluate the engine load factor (LF) of a 90 kW agricultural combine harvester. The combine harvester used in this study is equipped with an electronic engine, and real-time engine data (torque and speed) was collected through a controller area network. The speed of the combine harvester during harvesting operation was divided into three levels (4, 5, and 6 km/h) for the representative operation speed range of 4 to 6 km/h. The LF was calculated using the engine load data measured in real time during harvesting. A weight was applied to the LF for each condition based on a survey of the usage. Results of the field test showed that the LF was 0.53, 0.64, and 0.87 at working speeds of 4, 5, and 6 km/h, respectively. The highest engine load factor was recorded at 6 km/h. Finally, based on the weight for the usage applied, the integrated engine LF was analyzed to be 0.69, which is approximately 144% higher than the currently applied LF of 0.48. A study on LF analysis for the entire work cycle, including idling and driving of the combine harvester, will be addressed in a future study.

Keywords

Acknowledgement

본 결과물은 농림축산식품부의 재원으로 농림식품기술기획평가원의 친환경동력원적용농기계기술개발사업(322047-5)과 농림수산식품기술기획평가원의 기술사업화지원사업(821053-03) 지원을 받아 연구되었음.

References

  1. Baek SM, Kim WS, Baek SY, Jeon HH, Lee DH, Kim HK, Kim YJ. 2022a. Analysis of engine load factor for a 78 kW class agricultural tractor according to agricultural operations. Journal of Drive and Control 19:16-25. [in Korean]
  2. Baek SY, Baek SM, Jeon HH, Lee JH, Kim WS, Kim YJ. 2022b. Design verification of an e-driving system of a 44 kW-class electric tractor using agricultural workload data. Journal of Drive and Control 19:36-45. [in Korean]
  3. Baek SY, Kim WS, Baek SM, Jeon HH, Park SH, Kim JS, Yoo C, Kim YJ. 2022c. Analysis of the engine load factor for a 67 kW agricultural tractor. Transactions of the Korean Society of Mechanical Engineers A 46:301-311. [in Korean]
  4. Cho SJ, Kim JG, Park JS, Kim YS, Lee DK. 2022. Development of the 80-kW test tractor for load measurement of agricultural operations. Journal of Drive and Control 19:46-53. [in Korean] https://doi.org/10.7839/KSFC.2022.19.4.046
  5. Choi M, Kim J, Lee HJ, Jang YK. 2010. Estimation of greenhouse gas emission from off-road transportation. Journal of Climate Change Research 1:211-217. [in Korean]
  6. EEA (European Environment Agency). 2019. EMEP/EEA air pollutant emission inventory guidebook 2019. EEA, Copenhagen, Denmark.
  7. EPA (Environmental Protection Agency). 2010. Median life, annual activity, and load factor values for nonroad engine emissions modeling. EPA-420-R-10-016, NR-005d. EPA, Washington, D.C., USA.
  8. Lee DI, Park JH, Shin MH, Lee JT, Park SK. 2022a. Characteristics of real-world gaseous emissions from construction machinery. Energies 15:9543.
  9. Lee JH, Jeon HH, Baek SY, Baek SM, Kim WS, Kim YJ, Lim RG. 2023a. Measurement and analysis of tractor emission during plow tillage operation. Korean Journal of Agricultural Science 50:417-428. [in Korean] https://doi.org/10.7744/KJOAS.500311
  10. Lee JH, Jeon HH, Baek SY, Baek SM, Kim WS, Siddique MAA, Kim YJ. 2022b. Analysis of emissions of agricultural tractor according to engine load factor during tillage operation. Journal of Drive and Control 19:54-61. [in Korean] https://doi.org/10.7839/KSFC.2022.19.4.054
  11. Lee SE, Kim TJ, Kim YJ, Lim RG, Kim WS. 2023b. Analysis of engine load factor for agricultural cultivator during plow and rotary tillage operation. Journal of Drive and Control 20:31-39. [in Korean] https://doi.org/10.7839/KSFC.2023.20.2.031
  12. NAIR (National Air Emission Inventory and Research Center). 2020. 2017 National air pollutants emission. NAIR, Cheongju, Korea. [in Korean]
  13. NAIR (National Air Emission Inventory and Research Center). 2022a. 2019 National air pollutant emission. NAIR, Cheongju, Korea. [in Korean]
  14. NAIR (National Air Emission Inventory and Research Center). 2022b. National air pollutant emission calculation method manual (V). NAIR, Cheongju, Korea. [in Korean]
  15. Savickas D, Steponavicius D, Domeika R. 2021. Analysis of telematics data of combine harvesters and evaluation of potential to reduce environmental pollution. Atmosphere 12:674.
  16. Shin DH, Kwon SJ, Kim YJ, Park SH. 2022. Load factor analysis based on actual operation test of 200kW excavator. pp. 84-85. In Proceeding of the Korean Society of Automotive Engineers 2022 Annual Spring Conference. [in Korean]
  17. Yu YJ, An YC, Lee KH, Park JH, Lee D, Lee CH. 2023. Fatigue and severity analysis of drive axle parts according to forklift driving environment. Journal of Drive and Control 20:24-30. [in Korean] https://doi.org/10.7839/KSFC.2023.20.2.024