Odour source identification in a complex flow environment using a particle trajectory model

on .

P11Ip   This paper presents a methodology that generates complex flow fields based on the Navier Stokes equations for fine-mode trajectory modelling. Initial u- and v-component of wind is input to the model from an onsite weather station on a 2-minute resolution.

   The perturbated flow is then calculated in an iterative fashion until the numerical solution converges. The results are then be stored and the next initial u- and v-component of wind will be input from the anemometer. Each solution is stored and converted for use in a particle trajectory model.

P. D’Abreton1, R. Ormerod1, L. Marchant2

1 Envirosuite, Brisbane, Australia
2 Envirosuite, Santiago, Chile

Use of propulsion system to improve atmospheric dispersion in conducted emission sources in a fish oil processing plant

on .

   P48I3The technical recommendations in the design of stacks indicate that the emission at higher height, or a greater exhaust speed gases, decreases the impact in the surroundings. In fact, it is usual increases stack height in problematic sources.

   Taking into account this principle, additional propulsion systems for conducted sources have been designed. This type of technology allows to power the exhaust gases at a high speed, diluting simultaneously with a high flow rate, and minimizing the impact on the environment.

A. Amo, R. Cerdá, M.A. Cid, J.V. Martínez

Labaqua S.A. Alicante, Spain.

Final version of GRAL 20.01 released and now it is open source!

on .

gramm gral 20.01   The Graz Lagrangian (GRAL) system is a Lagrangian particle model with a free Graphic User Interface (GUI) available in both Linux and Windows. The last beta was published last November and now the developers have released the version 20.01. The software is now open source under a GPL-3.0 license, so everybody is welcomed to contribute to the project. The source code, has been published in github.

    The Graz Lagrangian Model - GRAL - was initially developed in 1999, and has been used extensively in regulatory assessments and scientific studies. The initial driver for the development of GRAL was the need for a model that could deal with the frequent low-wind-speed conditions (< 1.5 m s-1 for up to 90 per cent of the time) in the inner-Alpine basins of Austria. According to the developers, there are around 600 users worldwide using, the GRAL/GRAMM system.

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