Research Group of Prof. Dr. M. Griebel
Institute for Numerical Simulation
maximize
[1] P. Boeker, O. Wallenfang, F. Koster, R. Croce, B. Diekmann, M. Griebel, and P. Schulze-Lammers. The modelling of odour dispersion with time-resolved models. Agrartechnische Forschung, 4:E84-E89, 2000. refereed electronical journal.
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In connection with the methods used so far, this contribution describes a new approach for the modelling of odour dispersion. Using the aid of example cases, the methodology of odour prognosis with different approaches is explained, and their advantages and disadvantages as well as their limitations are discussed. Particular attention is given to close-range dispersion from odour emission sources with low source heights and a complex fluidic environment. Typical examples of such cases are agricultural sources or biological processing plants (composting, sewage treatment plants). The new dispersion model is a further development of the NaSt3D model with two variants of improved dispersion modelling, an advection-diffusion approach (Euler model) and a Lagrange-particle model. This model is able to conduct time-resolved calculations of flows and dispersion and hence allows the question of concentration fluctuation, which is important for odour phenomena, to be integrated into the model. The parallelizing of the computer code enables terrain- and source configurations which have been too complex thus far to be calculated in a fine division of the calculation grid. At present, computer clusters and high-performance computers can be used for this purpose in anticipation of the fast further development of efficient personal computers. The consistently analytical approach avoids empirical model supplements with adaptation parameters, such as the otherwise necessary models of exceeding probability, and can thus be calibrated on a physical basis.