VandCenter Syd is one of Denmark's largest and oldest water supply companies. Their new solution, developed in collaboration with twoday, helps create a healthier aquatic environment in seas, fjords, and rivers.
VandCenter Syd works every day to ensure clean drinking water, protect groundwater, manage wastewater, and help create healthy aquatic environments in the municipalities of Odense and Nordfyn.
To do this as optimally as possible, VandCenter Syd is at the forefront of using their data. Previously, twoday has helped implemententing a machine learning model at VandCenter Syd that can locate potential leaks in water pipes.
This case focuses on a collaboration we have entered into with VandCenter Syd to create a machine learning model that can predict elevated levels of ammonia in wastewater.
To understand the background for the solution, we first need to understand a bit about ammonium and the work that VandCenter Syd is doing at their treatment plants. The treatment plants receive wastewater in Odense and Nordfyns municipality. Here, the water is cleaned before being discharged.
There is ammonium in the wastewater. Ammonium is a naturally occurring ion that binds to oxygen and potentially contributes to causing oxygen depletion in aquatic environments.
Therefore, VandCenter Syd wants to convert as much ammonium as possible at the treatment plants before the water is discharged into the aquatic environment. It is important to note that the measured values of the ammonium being discharged are significantly below the limit value for the vast majority of the time.
However, employees at VandCenter Syd were wondering why there were occasionally some 'peaks' where the concentration of ammonium being discharged increased significantly - typically in connection with heavy rain over longer periods.
"We wanted to find out what we could do to minimize the number and size of the elevated ammonium values. Here, we were curious if machine learning and artificial intelligence could be used to help us crush the data we had, so we could predict when there would be elevated ammonium values and act accordingly," says Andreas Bjørn Bassett, operations manager at VandCenter Syd.