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The energy-water demands of metropolitan regions and agricultural ecosystemsare ever-increasing. To tackle this challenge efficiently and sustainably, theinterdependence of these interconnected resources has to be considered. In thiswork, we present a holistic decision-making framework which takes into accountsimultaneously a water and energy supply system with the capability ofsatisfying metropolitan and agricultural resource demands. The frameworkfeatures: (i) a generic large-scale planning and scheduling optimization modelto minimize the annualized cost of the design and operation of the energy-watersupply system, (ii) a mixed-integer linear optimization formulation, whichrelies on the development of surrogate models based on feedforward artificialneural networks and first-order Taylor expansions, and (iii) constraints forland and water utilization enabling multi-objective optimization. The frameworkprovides the operational profiles of all energy-water system elements over agiven time horizon, which uncover potential synergies between the essentialfood, energy, and water resource supply systems.

Towards Optimal Energy-Water Supply System Operation for Agricultural and Metropolitan Ecosystems