Xiaoyu Wang

An AI-driven Water-Energy Efficiency Nexus: Security and Transitions for Rural Water Communities

Due to the high energy demands of the water sector, public water services have focused investment on a range of efficient treatment systems and renewable energy technologies to ensure the continued provision of water services. However, despite the net balance between supply and demand, there are dynamic challenges to ensuring sufficient energy resources are available for treatment and pumping at the right time of the day or across the different seasons. In parallel, driving water efficiency can directly reduce the energy demands associated with operating water services.

This project will address these challenges by improving data accessibility and develop a smart AI-driven water-energy efficiency nexus tool can support the transition of small rural group water scheme in Ireland. This can help make informed decisions and select management strategies and solutions for rural water communities in Ireland and play their part in decarbonization and meeting Climate Action Plan targets.

Supervisor: Dr. John Gallagher