Sewer corrosion reduction through model-supported ventilation control. Ventilation is one of the key technologies for sewer corrosion control. However, its design and operation are currently based on experience and empirical equations, often leading to unsatisfactory results. By integrating in-depth laboratory and pilot-sewer studies under defined conditions with extensive field investigations, this multidisciplinary project aims to develop critical models to predict the corrosion process in res ....Sewer corrosion reduction through model-supported ventilation control. Ventilation is one of the key technologies for sewer corrosion control. However, its design and operation are currently based on experience and empirical equations, often leading to unsatisfactory results. By integrating in-depth laboratory and pilot-sewer studies under defined conditions with extensive field investigations, this multidisciplinary project aims to develop critical models to predict the corrosion process in response to ventilation and dynamic wastewater and atmospheric conditions, enabling model-based sewer ventilation design and operation. The project also aims to deliver novel, field-demonstrated ventilation strategies. The project findings will be incorporated in the Australian ventilation design and operation guidelines.Read moreRead less
Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proa ....Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proactive sewer management including network-wide real-time control. The project aims to generate significant social, environmental and economic benefits by enabling utilities to better protect public and environmental health, reduce sewer odour and greenhouse gas emissions, and extend sewer asset life.Read moreRead less
A predictive framework for the flow control of environmental roughness. This project aims to develop a new framework to accurately predict how macro-roughness controls flow, turbulence and transport in environmental systems. Exemplar systems range from flows over seagrass meadows, coral reefs and permeable beds in aquatic environments to flows over urban roughness in atmospheric environments. The overall health and function of these systems is intimately linked to how they modify the incoming fl ....A predictive framework for the flow control of environmental roughness. This project aims to develop a new framework to accurately predict how macro-roughness controls flow, turbulence and transport in environmental systems. Exemplar systems range from flows over seagrass meadows, coral reefs and permeable beds in aquatic environments to flows over urban roughness in atmospheric environments. The overall health and function of these systems is intimately linked to how they modify the incoming flow and the transport of nutrients, contaminants, heat and biota. Expected outcomes include novel theory and new predictive models to quantify the flow and transport 'climate' in these complex roughness systems. This will transform best practice in our understanding, management and protection of these critical ecosystems.Read moreRead less