Advanced monitoring of odor emissions at the SIAAP wastewater treatment plant – Paris, France
Year
2022
Location
ÎLE-DE-FRANCE - FRANCE
Sector(s)
Wastewater treatment
Issues
SIAAP (Public Sewerage Service of Île-de-France) manages several wastewater treatment units in the Île-de-France region, facing complex challenges related to odor emissions such as hydrogen sulfide and ammonia. The goal is to establish a continuous monitoring system to quantify these gases and odors in real-time, both at the treatment sites and in the surrounding environment. This initiative aims to integrate these data into the dispersion model developed by SIAAP for proactive management of environmental impacts.
SOLUTION
To address these challenges, SIAAP deployed a network of Ellona WT1 Pro sensors starting in 2022. These sensors are specifically configured to sample and quantify critical gases and odors. Additionally, odor monitors were installed with suitable sensors, enabling intelligent and continuous monitoring of emissions. The system also includes the DRYER, an all-in-one solution for monitoring atmospheric nuisances at the source. This optimal integration mitigates the impact of high humidity and enhances the reliability of measurements.
The environmental modeling of the site and real-time automation of odor quantification enable effective correlation of local complaints with potential emission sources.
This setup allowed Ellona to create a qualitative footprint of the site’s odors and install monitors capable of detecting specific odor components present at the site. By integrating these advanced monitoring devices, the operator strengthens its commitment to responsible and effective environmental management, while meeting strict regulatory standards and preserving the quality of life in surrounding communities.
KEY RESULTS
This project has led to several significant benefits:
- Continuous and reactive monitoring: The system provides 24/7 surveillance of odor emissions, with alerts enabling a rapid response in case of regulatory threshold exceedances.
- Precise source identification: Through data correlation, it is possible to qualitatively and quantitatively identify the main sources of odors, facilitating the implementation of effective mitigation measures.
- Process optimization: The collected data has allowed for the optimization of deodorization processes, reducing the use of certain raw materials and contributing to a more sustainable management of the facilities.
- High prediction and success rate: The system achieves a 90% success rate in odor prediction, based on olfactometric scores provided by Egis, enhancing proactive management of impacts on local residents and the environment.
In conclusion, the implementation of this advanced solution at SIAAP demonstrates a commitment to responsible and effective environmental management, ensuring regulatory compliance while improving the quality of life for surrounding communities.
