Waste Water Treatment Optimal Operation and Symbiotic Upgrade
Waste Water Treatment Optimal Operation and Symbiotic Upgrade
The project, developed by ONCONTROL, AGR, CEMMPRE (an interdisciplinary R&D unit of the University of Coimbra) and INESC TEC, aims to create a solution that promotes the optimisation of the operation, sustainability and circularity of wastewater treatment plants (WWTPs). Its results will lead to a reduction in operating costs and the sector's ecological footprint by reducing greenhouse gas emissions. The project will also valorise other surpluses from the operation, including sludge, biogas, and heat, reintegrating them into the production chain and closing the resource use cycle through new, multi-aspect industrial symbiosis models.
The project emphasises scientific advances and the development of technologies in various areas, including process monitoring, the creation of biochemical and symbiotic models, sustainability assessment, and the development of advanced control systems and industrial interface tools with operators. The technologies will be tested in a real environment, using facilities contracted with one of the partners.
Integrating sustainability and circularity components in WWTPs allows for management that reduces resource waste and maximises the reuse of treated water, nutrients included in biofertilisers and biogas, resulting in a reduction in greenhouse gas emissions, operating costs and the adoption of concrete circular economy practices. These advances reduce the immediate local environmental impact of treatment operations, promote more efficient use of natural resources, guarantee the economic sustainability of wastewater treatment plants and contribute to public health and conservation.
Developing a hybrid edge-cloud processing architecture;
Implementing virtual sensors;
Developing an advanced energy monitoring system.
Determine differential models for different types of wastewater treatment plants;
Develop control and correction methodologies to optimise the water treatment process;
Adapt the models using data-based methodologies.
Develop multi-symbiosis models;
Integrate the models and evaluate sustainability and circularity;
Evaluate and carry out multimodal simulations of limit scenarios.
Identify eco-efficiency degradation;
Develop and implement an operator support system.
Co-funded by: