Data-Driven Energy Storage Investment Decision

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Powerful Data Analysis and Modeling
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Risk Management and Optimization
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Granular Bankability and Feasibility Reporting
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Easy Simulation Process

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Renewable Curtailment

Store excess energy due to power limitations in the grid
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Wholesale Arbitrage

Charge when prices are low and sell during expensive electricity hours
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Microgrid / Off Grid

Minimize energy costs due to consumption and earn additional revenues from time of use optimization
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Ancillary Services

Simulate frequency reserve (Primary Frequency Response, Secondary Frequency Response) signals for additional  revenues
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Balancing Market

Investigate storage allocation in capacity market 
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Feed-in-Tariff

Choose from different feed-in-tariff scenarios  and time of use prices. 

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