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Gewählte Master / Diploma Thesis:

Christian Tunkel (2018): Vergleichende Ökobilanz (LCA) und Life Cycle Costing (LCC) der langen und kurzen Traktornutzung unter Berücksichtigung von Unsicherheiten.
Master / Diploma Thesis - Institut für Landtechnik, BOKU-Universität für Bodenkultur, pp 100. UB BOKU obvsg

Data Source: ZID Abstracts
Abstract:
The engineering of modern tractors is designed to reduce exhaust emissions in line with more stringent emission limits. The resulting environmental impacts of replacing an older tractor with a newer model can be studied using the method of life cycle assessment (LCA). The main focus of this thesis is on two points: 1) comparing the impacts of the construction and use phases of a tractor (Steyr Profi 4110); and 2) comparing two scenarios: one long (1x24 years) versus three short (3x8 years) use phases from 2004-2028. This thesis optimizes the LCA work of Stampfel (2014) and extends it to include a life cycle costing model (LCC). Field operations in the use phase include ploughing, cultivating, harrowing, baling and transportation. In the short use phase scenario, two more recent versions of the tractor model replace the original 2004 version. In addition to LCA, a LCC model was used to account for economic impacts without external costs. To include uncertainties, Monte Carlo simulations and sensitivity analyses were conducted. The LCA comparison of the two scenarios shows no clear environmental advantage for either scenario. Several impact categories (e.g. climate change) favour the longer tractor use scenario, and others the shorter tractor use. Between the older (2004) and the newer (2020) tractor versions, differences in environmental impacts are small. Among field operations, ploughing has the highest impacts. LCC results show that the longer tractor use scenario has slightly lower overall costs than the shorter use. The biggest contribution is from fuel costs. Repair costs and the tractors resale values are the major factors of uncertainty. In addition, a method to ensure more efficient parameter transfer during the modelling process was developed. Future research should include sensitivity analyses for the LCA model and internalising external costs in the LCC model.

Beurteilende(r): Gronauer Andreas
1.Mitwirkender: Piringer Gerhard
2.Mitwirkender: Kantelhardt Jochen

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