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

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   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!

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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.

Approaches for holistic odour impact management

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P13I0   Environmental odour management today offers a variety of building blocks, ranging from the use of state-of-the-art technology to the implementation of various methods, which are based on national and international guidelines and standards. These range from odour monitoring approaches using trained human sensory panels and citizen science, real-time and forecasted dynamic dispersion modelling, trajectory and back-tracking calculations, but also sensor systems which are making use of gas sensors to detect and quantify key odorants of odour sources.

   Although all of these technologies and methods can help to increase the understanding of potential origins of odour related problems, most solutions available in the market only allow an isolated consideration of the acquired data. Depending on the specific scenario and related questions, however, the right combination of these building blocks is often key to get full clarity on the odour emission and / or impact situation. A flexible platform like Ortelium allows to combine data channels, so that a more meaningful picture of the odour situation can be established.

C. Mannebeck*, M. Andresen

Olfasense GmbH, Fraunhoferstr. 13, 24118 Kiel, Germany,
*

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