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Dissertation
Development of CFD-Based Tip Clearance Loss and Deviation Models for Axial-Flow Turbines
(2020-01)
Accurate loss correlations are crucial for reliable turbine performance predictions with low-fidelity tools. However, conventional tip clearance models disregard some important loss effects, e. g. from the relative motion between blades and endwall, and their natural spanwise distributions, which are valuable for through-flow methods. The objective of this thesis is the development of more realistic tip clearance models by means of high-fidelity CFD simulations, which capture all three-dimensional flow effects and ...
Preprint
Annual industrial and commercial heat load profiles: modeling based on k-Means clustering and regression analysis
(2021-03-19)
An accurate method to predict annual heat load profiles is fundamental to many studies, e.g., preliminary design or potential studies on renewable heating systems. This study presents a method to predict annual heat load profiles with a daily resolution for industry and commerce, based on an analysis of 800 natural gas load profiles (≥ 1.5 GWh/a). To derive heat load profiles, these natural gas load profiles are normalized and those with a potentially non-linear relationship between heat demand and natural gas ...
Working paper
Reference applications for renewable heat
(2021-01-25)
There is a high degree of freedom and flexibility in the way to integrate renewable process heat in industrial processes. Nearly in every industrial or commercial application various heat sinks can be found, which are suitable to be supplied by renewable heat, e.g. from solar thermal, heat pumps, biomass or others. But in contrast to conventional fossil fuel powered heating systems, most renewable heating technologies are more sensitive to the requirements defined by the specific demand of the industrial company. ...