Objective

Simulation and economic evaluation of potential operating strategies for a grid-connected LFP large-scale battery energy storage system (e.g., 5 MW / 10 MWh or 20 MW / 48 MWh), with a focus on participation in the day-ahead, intraday, and frequency control markets (FCR/aFRR).

Scope of Work:

1. Literature review on regulatory frameworks, electricity market structures, and existing business models for battery storage in Europe, with a focus on the Austrian and German markets
2. Modelling of a standalone LFP battery storage system, incorporating technical parameters such as efficiency, charge/discharge rates, cycle life, and degradation (based on available data)
3. Development of a Python-based decision-making model using real market data (e.g., EPEX Spot) for day-ahead, intraday, and frequency control markets (FCR/aFRR)
4. Simulation of various operating strategies based on historical market data
5. Analysis of operating strategies and economic viability

Your Profile

• Motivation and interest in the topic
• Background in machine learning
• Experience in python programming

Contact:

Franz Pernkopf (pernkopf@tugraz.at)