Ortelium - Dispersion Modelling & Impact Analysis Module
Ortelium offers tools for dynamic real time air quality & odour dispersion modelling and impact mapping that combine weather data feeds with the emission data from your plant’s sources. Calculating and dynamically visualizing the dispersion of your plant’s emissions on a digital map, Ortelium provides you with retrospective analysis, real-time monitoring, and forecasting capabilities to model and monitor the emission impact of your operations in past, current, and future situations.
Simulate and monitor your environmental impact
This enables you not only to better understand and validate past odour incidents or air pollution episodes and their causes/origins. By forecasting possible impacts of your operations you can even take appropriate, proactive steps to avoid conflict situations, e.g. by finding the right window of opportunity to run operations at times in which impacts are minimized.
The importance of input data quality for dispersion modelling
Even the best dispersion models will not be able to provide a reliable representation of the actual impact unless the emission data that is used as input for the calculations is accurately taken into account. Ortelium, therefore, provides full flexibility on emission source input data. Depending on the availability of the emission data, the models can be fed with static emission source data or dynamic emission source data. Dynamic emission source data can be provided through sensor data feeds, if available, scheduled processes or schemas. This flexibility allows for continuous and discontinuous emission sources to be considered for modelling, achieving the highest accuracy for your modelling results.
The overall impact can be filtered for individual source contributions providing users with valuable insights about the most relevant sources.
Choose the appropriate model for your purposes
Ortelium can be configured to use steady-state and non-steady-state dispersion models to offer the best-suited approach for each individual project. Ortelium`s Gaussian plume model can be fed with data provided by local weather stations or online feeds, while the Calpuff model is using high-resolution WRF data for the calculations.
If you are unsure about which model is the most appropriate model for your use case, our modelling experts will be happy to advise you on that decision.
Run your operations most efficiently while avoiding complaints
In case your emission process is stable and controllable, Ortelium provides recommendations on how to adapt your process parameters (such as pumping speeds or ventilation rates) during emission-critical operation times, to reduce or even prevent alert situations, while keeping your operations running most efficiently. This is particularly useful for industries that are at risk of being panelized with temporary working restrictions, fines or in the worst case permit withdrawal.
