BOKU - Universität für Bodenkultur Wien - Forschungsinformationssystem

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Gewählte Diplomarbeit / Masterarbeit:

Larissa Delazari Deniz (2019): Modelling time and fuel usage in timber transport in mountain forestry.
Diplomarbeit / Masterarbeit - Institut für Forsttechnik (FT), BOKU-Universität für Bodenkultur, pp 52. UB BOKU obvsg

Datenquelle: ZID Abstracts
Forestry is an important economic activity in Austria. As timber resources are scattered distributed under steep slopes, logging trucks are the main logistics mode in the wood supply chain. Although the state of art of truck transportation in Austria is advanced, timber haulage is costly and its costs are rising faster than the wood price. The increasing fuel price is one of the main reasons for rising transportation costs. At the same time, fossil fuel combustion from transportation is the main source of CO2 emissions in the country. The objective of this study was to investigate and quantify the factors that impact fuel and time consumption in timber transport in mountain regions. For that, 1687 operational cycles of logging trucks were statistically analyzed in terms of operational times, distance travelled, payload, and fuel consumption. A spatial analysis was conducted to improve the characterization of the study environment. SQL routines were used to do process mining and to compile vehicle data. A complete regression and sensitivity analyses were conducted to estimate the influence of the transportation environment on fuel consumption and cycle time. The proposed models were based on the explanatory variables: driving distance, elevation difference, and truck. The selected fuel usage model explained 85.97% of the data variation while the cycle time model, 72.02%. Sensitivity analysis showed that smaller distances and elevation differences had a greater impact on both fuel and time consumption. On average, an operational cycle consumed 19 l of diesel and lasted 1.77 hour. Fuel consumption per kilometer averaged 1.15 l. The understanding of these variations is important in order to improve cost accounting and haulage fares. Moreover, fuel usage information supports understanding the energy demand of haulage systems, underpinning the development of greener truck technology to help mitigate climate change.

Beurteilende(r): Stampfer Karl
1.Mitwirkender: Kanzian Christian

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