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Abstract Title: On line monitoring of odour unit (OU) emissions and odour sources identification by using a new generation of IOMS analysers around an animal feed production plant
Presenter Name: Dr JEAN-CHRISTOPHE MIFSUD
Company/Organisation: ELLONA
Country: France

Abstract Information :

Dynamic Olfactometry (EN 13725:2022 - ASTM E679:2019) stands as the standard and well-established method for measuring odour concentrations. However, it may not always be suitable for extensive industrial sites that require continuous monitoring and swift results for timely remediation actions. Moreover, these sites necessitate solutions for identifying odour sources to ensure effective remediation or protect themselves from unwarranted claims. In Germany, a prominent feed production company specializing in poultry waste found a compelling need to enhance the real-time assessment of gas and odour emissions from its operations. The primary objective was to pinpoint potential sources and instances of olfactory nuisances that could affect nearby communities. The production facility is situated in close proximity to residential areas, resulting in a considerable number of complaints. Adding to the challenge, the city council has stressed the importance of implementing effective odour control measures to prevent the potential relocation of the plant. Facing these circumstances, the company lacked the tools necessary to quantify or identify the sources of olfactory pollution beyond routine inspections conducted by local personnel. The successful deployment of the Instrumental Odour Monitoring System (IOMS) network, both at the production site and the neighborhood level, has yielded significant outcomes: • Enhanced understanding of olfactory nuisance sources: Employing various data processing techniques and odor sampling, over 12 repetitive sources such as blood, feathers, and biofilters were characterized and grouped. • Real-time odour levels assessment: Establishment of notification thresholds triggering alerts and alarms for prompt remediation actions, allowing for proactive measures to address operational issues. • Source identification: Utilizing the results of odour characterization and event logs, the 12 distinct odors were accurately mapped back to specific emitting sources. • Real-time odour characterization: Integration of olfactory nuisances into the IOMS programming, ensuring identification when odour unit thresholds are reached, facilitating swift implementation of remediation measures. • Correlation analysis: Collection of odour level data for correlation analysis with operational activities, providing valuable insights for refining processes and mitigating potential nuisances. Building upon previous successes, continuous monitoring has proven instrumental in surpassing customer expectations. This approach has effectively contributed to diminishing odour intensity, minimizing complaint occurrences, and distinguishing the facility from the diverse sources of emissions.


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