Overview
Within the O-CEI project, this scenario enables prosumers and flexumers to trade energy, optimise consumption, and store excess energy using AI-driven tools, improving grid stability and increasing the use of renewable energy.
Expected Outcomes
- To assess how the local renewable energy sources are optimised by increasing the share of on-site RES utilisation and reducing dependency on grid imports.
- Renewable energy utilisation: 35% improving over current 25% of RES
- To evaluate the effectiveness of energy demand management and load shifting strategies in reducing peak electrical loads in participating homes from 3 neighbourhoods.
- Reduction in peak energy demand from approximately 500 kW: 20%
- To quantify the reduction in electricity use enabled by energy monitoring, feedback and optimisation, demonstrating measurable efficiency gains in participating households.
- Reduction in energy consumption (b/a O-CEI): ≥20% reduction based upon a baseline of 10,000 kWh/year
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