Digital Twin of Water Treatment Works

Development of a digital twin, as a proof-of-concept project, at Chingford WTW: - Optimise efficiency across the whole site - source to pumps. Optimisation will be in the form of recommendations for operators to conduct on a day-to-day basis, driving down costs in areas such as power and consumeables - The digital twin solution will mimic the physical asset to allow what-if analysis, running hypothetical scenarios to understand how the physical treatment work will operate under certain conditions - The tool should integrate advances in innovation and machine learning to help Thames in becoming more proactive: identifying changing trends that wouldn't be possible manually and outputting a preventative response to mitigate emerging events - The digital twin should be adaptable so that it can be tailored to help solve site-specific challenges, example at Chingford algae and pH control - The product should be able to assist in the quantification of benefits it delivers enabling ROI calculations to be drawn which will inform scalability