Water utilities make large investments in their infrastructure every year to maintain their assets and improve service levels to customers. It is vital that these funds are spent efficiently, maximizing system performance while minimizing costs. To this end KWR has developed Gondwana: a tool which opens up numerical optimisation techniques for the drinking water sector.
This use case is published in relation to our AIDA project, which researches how the Artificial Energy Intelligence solution (AEI) of EnergQ can be extended with dynamic (transient) process information to improve its the performance in case of non-steady state operations.