Online control via a Digital Hybrid Twin to improve energy efficiency in WWTPs

Periodo de ejecución

June 2023– March 2024

Field of work

Digital technology
Resilient infrastructures

Project supported by the April 2023 call for proposals to support AEI of the Ministry of Industry, Trade and Tourism, financed by the European Union – Next Generation EU File no. AEI-010500-2023-158


The situation of water stress and desertification is worsening, especially in southern Europe, which is making it necessary to resort to water reuse as a key component of integrated water resource management. In addition, the new quality criteria defined by European legislation, both for water treated in WWTPs that is discharged into a particularly sensitive receiving environment, and for water reclaimed in tertiary treatment for reuse, are becoming increasingly restrictive. For all these reasons, it is necessary to keep up the pace of improving the efficiency of the processes in the WWTP, based on their knowledge and through the application of new digital tools that allow these processes to be improved.
The main challenge to be addressed by the full water cycle sector at national level, especially in wastewater treatment, is its digital transformation. This will make it possible to be more efficient in the elimination of pollutants and reduce the energy consumption of the processes. Therefore, the main objective of the DTCONEDAR project focuses on the development of a hybrid digital twin to carry out a more efficient control of the main water treatment processes in WWTP, tertiary treatment (during phase 1) and secondary treatment (phase 2), focused on energy efficiency and improvement of pollutant removal performance.
DTCONEDAR is an industrial research project, with many innovative aspects, necessary to advance in the digital transformation of the water industry 4.0, to respond to a current need in the water treatment sector such as the implementation of digital twins, which in addition to using data from sensor measurements, use data calculated from simulators, which has already been successfully implemented in other industrial sectors. The incorporation of models using simulators makes it possible to reproduce the behaviour of processes in detail, understand their dynamics and propose new control and automation strategies in plants. Two of the main aspects to highlight of the digital twin of the DTCONEDAR phase II project are (i) the level of detail of the models to be implemented, as they will contemplate the hydraulic behaviour and the specific reactions of the processes; (ii) the development of fast response models, which will allow real-time calculations, and which will allow a digital twin with a simulator to be connected to a SCADA supervision system, providing online information to be used in the control of the plant. This will be a breakthrough for WWTP process models, which currently have long computation times and only provide offline simulations.


The main objective of the project focuses on the development of a hybrid digital twin to carry out a more efficient control of the main water treatment processes in WWTP, secondary and tertiary treatment, focusing on energy efficiency and the improvement of pollutant removal performance.


Optimised digital twin extended to secondary WWTP treatment with biochemical mechanisms, integrating in the simulation continuous experimental measurements of water quality by means of effluent probes to optimise the energy efficiency of the process, taking into account energy tariffs.