This master thesis examines the economical profitability of integrating a battery storage system with the commercial property Pyramiden 19. The model is developed in Matlab and analyses three different profitability strategies for utilizing the battery storage: peak shaving, time of use arbritage and the grid supporting service FCR-D up. The modeling of these scenarios involves numerous parameters, with uncertainties surrounding factors such as battery price and characteristics, electricity prices, and the actual activation of grid-supporting services. Results indicate that only minor savings can be modeled through the electricity contracts, leading to both peak shaving and time-of-use arbitrage generating additional costs than previously when factoring in battery investment expenses. Although peak shaving and time of use arbritage are innovating strategies to redistribute consumption with, they are not suitable to reduce costs with all types of electricity contracts and cannot cover largely added investment costs. Looking at the third strategy, the flexibility market appears to hold a significant potential for economical profitability. The model shows that the grid supporting service FCR-D up, with a 2000 kW battery, reduces the initial annual electricity costs by 36%. This can mainly be explained by the fact that, in the model, the battery is activated for only 2% of the total hours in a year, and the fact that the service is compensated based on called bids rather than activated bids. Connection to the balance market would therefore not only generate revenues for the property but would also result in relief for the local electricity grid. Due to the uncertain future regarding compensation levels in the flexibility market, an early connection is recommended to ensure timely reimbursement for the battery.