End User
City of Athens
Description
The Battery Storage Optimization & Simulation service uses AI to model how installing battery systems can enhance energy performance in municipal buildings with PV installations. It simulates charge/discharge cycles based on historical consumption, solar generation, and tariff structures to identify optimal battery sizing and usage strategies. The service estimates self-consumption gains, peak load reduction, and financial payback, helping municipalities make data-driven investment decisions. It supports scenario analysis with or without dynamic pricing, enabling tailored recommendations per building.
Core Capabilities
Predictive & Prescriptive Analytics
Optimization & Decision Support
Business Need
It identifies the optimal battery size and usage patterns to improve solar energy self-consumption and reduce energy waste, supports investment decisions by simulating financial returns, payback periods, and savings under various scenarios, reduces peak demand charges by shifting grid usage away from high-tariff periods, increases energy resilience for municipal buildings by modeling backup and autonomy potential during outages, and aligns with sustainability goals by enabling better integration of renewable energy and reducing grid dependency.
Key Performance Indicators
Simulated energy and financial savings
Improvement of self-consumption rate
Data Provided
Building Metadata (size, building category, year of construction) - 500 buildings with the potential for expansion -no documentation-static data
PV System Data (installed capacity, annual production, PV area used, Roff available for battery installation) - 500 buildings – no documentation – static data
Historical Energy Consumption Bills – 500 buildings – no documentation – monthly
Historical Energy Consumption – 50 buildings with the potential to add more as smart meter installations progress – no documentation – hourly
External datasets (weather data, calendar data, energy market prices, baterry technologies and prices)
Synthetic dataset of PV production – simulate PV production in hourly basis considering yearly PV data and weather data
TEF
TEF BUILD