Putting photonics in sewers. Putting photonics in sewers. This project aims to develop a photonic sensor capability to measure chemical compounds that cause concrete corrosion in waste-water pipes. Sustainable management of urban waste-water networks is a global problem. Hydrogen sulphide and water in air pockets cause concrete attack that results in premature pipe failure with high financial, public health and environmental costs. Unlike current qualitative methods, which rely on often dangerou ....Putting photonics in sewers. Putting photonics in sewers. This project aims to develop a photonic sensor capability to measure chemical compounds that cause concrete corrosion in waste-water pipes. Sustainable management of urban waste-water networks is a global problem. Hydrogen sulphide and water in air pockets cause concrete attack that results in premature pipe failure with high financial, public health and environmental costs. Unlike current qualitative methods, which rely on often dangerous visual inspection of pipes to identify concrete corrosion, this project will develop a quantitative sensing system that directly measures key chemicals, targeting the cause and not the effect. This research is expected to extend the life of waste-water networks and reduce cost to the public.Read moreRead less
Analytics to predict anaerobic codigestion & downstream process performance. This project aims to develop management approaches to enable the use of anaerobic co-digestion — the conversion of organic wastes and wastewater sludge to biogas for electricity production. Anaerobic co-digestion has the potential to bring significant economic savings to water stakeholders and environmental benefits to communities. However, full-scale deployment faces fundamental challenges in terms of managing impacts ....Analytics to predict anaerobic codigestion & downstream process performance. This project aims to develop management approaches to enable the use of anaerobic co-digestion — the conversion of organic wastes and wastewater sludge to biogas for electricity production. Anaerobic co-digestion has the potential to bring significant economic savings to water stakeholders and environmental benefits to communities. However, full-scale deployment faces fundamental challenges in terms of managing impacts on downstream processes (e.g. odour, dewaterability, biogas quality, and nutrient build-up). The analytical framework and analytics tool to be developed in this project by an interdisciplinary team with expertise in process engineering, biochemistry, analytical chemistry and analytics, is expected to enable water stakeholders to cost-effectively manage these impacts and thus realise the benefits of co-digestion.Read moreRead less
A novel physical-digital approach for the assessing a large critical asset. This project aims to deliver an artificial intelligence-enabled decision-making tool to maintain and manage the floating covers of vast lagoons that treat raw sewage. The cover harvests the biogas released from the anaerobic digestion of sewage for electric power generation that exceeds the plant’s requirement. The approach involves an innovative thermographic technique and exploits transfer learning to adapt neural netw ....A novel physical-digital approach for the assessing a large critical asset. This project aims to deliver an artificial intelligence-enabled decision-making tool to maintain and manage the floating covers of vast lagoons that treat raw sewage. The cover harvests the biogas released from the anaerobic digestion of sewage for electric power generation that exceeds the plant’s requirement. The approach involves an innovative thermographic technique and exploits transfer learning to adapt neural networks trained on lab-scale and synthetic data to field implementation. The outcome is a machine learning framework to optimise biogas harvesting and renewable energy generation, and to avoid structural failure, that is capable of continuous improvement to take into account improved data and/or modelling capabilities.Read moreRead less