Introduction
You can create long-term techno-economic simulations of solar PV installations and battery storage on Tensor Cloud that cover the whole asset lifecycle, from initial investment to decommissioning.
For this, Tensor Cloud holds a digital twin of your asset, of its physical environment, and of the electricity markets. It then applies financial and macro-economic assumptions about the future, provided by you, to run simulations at 30-minute resolution.
This is done in a multi-step process, where the future weather is a crucial input for price generation, asset simulation, and for our curtailment model.
You can explore details on our methodology for each component in the following sections.
Physical environment
- Weather: Generation of future weather, based on past data for each location
- Curtailment: Simulation of curtailment events for each asset
Markets
- Market prices: Price forward curve generation
- FIP prices: Calculation of future feed-in-premium prices
- Financial performance: Simulation of market trading, imbalance, forecast errors, and CAPEX/OPEX payments
Assets
- Solar PV: Simulation the expected electricity generation from the solar PV system
- Battery storage: Simulation of charge and discharge behavior of a co-located battery system