Global positioning system utilization for monitoring of energetic biomass logistic processes
2011
Blazej, D., Czech Univ. of Life Sciences, Prague (Czech Republic) | Soucek, J., Czech Univ. of Life Sciences, Prague (Czech Republic)
Utilization of biomass for energetic purposes is continuously growing during recent years. This situation brings higher demand for analysis of particular operational indicators, such as time and energetic intensity of various processes. The data presented in the proceedings were collected during maize harvesting. Maize silage is used for a biogas station located in Central Bohemia. The station uses a cogeneration unit for electricity and heat production with 526 kilowatt total electric and 566 kilowatt total heat output. The indicated consumption of the maize silage for this station is 27 tons per day. Two Garmin GPS modules (76CS and 76CSx) were used during the monitoring process of maize harvest at the beginning of October. 76CS was installed in the Claas Jaguar 870 forage harvester with a 4.5 meters working width. 76CSx was used in the Case Puma 140 tractor with the ZDT Mega 20 trailer attached. Both modules collected data about latitude and longitude, distances, altitude, time and velocity. These data were downloaded to Garmin MapSource 6.13.7 software which allowed data transfer to Microsoft Excel 2007 for further analysis and also projection of track points to the map. The calculations based on the data analysis provided the values of operating parameters, e.g., average velocities during various operations on different surfaces, transportation distances, working time, loading time, transportation time and distance, and course of the transport corridor altitude. The calculated values are important for determining basic dependences during harvest and transportation processes. They also provide the initial point for operational indicators estimation for other transportation vehicles. Identification of all these factors may present a significant contribution to the energetic biomass logistics optimization.
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