Intelligent control for wastewater treatment Demo Case #3 Amsterdam Netherlands Alex van der Helm Waternet Demo case 3 leader Waternet’s wastewater treatment plant (WWTP) Amsterdam West has a capacity of 1 Million population equivalent and serves the city of Amsterdam. Almost half of the Waternet climate footprint is determined by nitrous oxide emissions from the WWTPs. Nitrous oxide is a potent greenhouse gas formed during the biological nitrogen removal. Thus, minimising of nitrous oxide emissions is considered to be of key importance in reaching climate goals. The objective of the demo case is to demonstrate the integration of the Fiware4Water architecture (F4W) using FIWARE in the legacy system with better use of real-time plant data and the use of data-driven Artificial Intelligence (AI) smart applications in practice, to achieve a more optimal plant control with respect to its nitrous oxide emissions and energy consumption. To meet the objective, one of the seven parallel treatment lanes at WWTP Amsterdam West is made available as a fullscale research lane for the F4W project. In this research lane additional sensors are deployed and integrated, and an onsite research facility is built to gain more insight in the wastewater treatment process. Furthermore the F4W architecture is deployed and integrated in the WNT legacy system, including real-time F4WWWTP AI smart applications and F4W data models. Finally intelligent real-time AI control is implemented. The F4W AI smart applications deployed are software (soft) sensors for determining the influent flow per @Watetnet Back to content Back to the list scientific focus
RkJQdWJsaXNoZXIy NTYxMTg3