TOMS
TOMS Total Odour Management Software
Our TOMS Total Odour Management Software offers a complete and integrated suite for odour management. The system provides a perfect blend of real-time odour impact estimation with the registration and further management of odour complaints from neighboring residents.
Advanced Mapping Solutions
The first step to fully comprehending and solving any odour issue begins with creating an initial estimate of its emissions. This can be as comprehensive as a full odour inventory using field olfactometry devices such as the SM100i, or as simple as using Scentroid’s comprehensive emission factor database. Scentroid’s environmental engineers can guide you through this step to ensure a cost-effective yet accurate initial estimate.
When dealing with the potential subjectivity of registering an odour complaint, applying a system such as this removes a large source of potential error.
The initial odour inventory is used to create an odour plume. This plume visually indicates how odours will travel and affect nearby residents. To calculate this plume, USEPA air dispersion modeling software (AERMOD) is used.
The dispersion model will not only use the odour emission from each source but also take into account local meteorological data such as wind speed and wind direction. This will further allow us to apply a model to both surface and elevated sources, and through both simple and complex terrain variations.
SIMS2 Analysis Made Easy
Monitor Pollution Using Total Odour Management Software
Odour emissions are always changing based on process, ambient weather conditions, or upset conditions. TOMS automatically calculates and updates itself to reflect these changes through live ambient odour monitoring.
Monitoring stations, such as the CTair and Scentinal are used to measure ground level odours at facility boundary, directly over large sources, or at sensitive receptors. Scentroid’s monitoring equipment has been specifically designed to detect trace levels (parts per billion) of odourous compounds such as H2S, NH3, and VOCs. The pollutant measurement is converted to odour units (OU/m3) using Scentroid’s deep learning algorithm. The data collected is then used in the next phase to compute changes to the source emission rates.
The most critical step of the TOMS live monitoring is the update of the emission estimate based on real ground level odour measurements. Every minute, TOMS compares its estimated odour level from dispersion modeling to the actual measurements through the use of continuous odour monitoring equipment. If there is a significant difference, TOMS will adjust and update it’s emission rates to compensate. The emission rates are updated using a fuzzy logic algorithm that takes into considerate weather data, source variation patterns, detected pollutants and historical estimates. Users are not only provided with an extremely accurate odour emission projection but also can use updated emission rates to determine how sources emit odours over time and which operations are more detrimental to an overall odour control strategy.
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