Optimisation and Management of Energy Storage

At AleaSoft, we offer reports for the optimisation and management of energy storage systems in the long term, covering up to a 40-year horizon. These studies cover various storage technologies, such as batteries, pumped hydro, or thermal storage for industry, and enable maximising revenue from the sale of stored energy, reducing energy costs, and evaluating the economic viability of projects.

To achieve all this, we carry out hourly price simulations and use optimisation algorithms that take into account the characteristics of the storage system, such as storage capacity, charge and discharge power, efficiency, and long-term degradation of the installation. For hourly price simulations, the Alea methodology is used, which combines Artificial Intelligence, time series, and statistical models.

• • Operation strategy for the storage system to maximise revenue through day-ahead market arbitrage
  • Captured price and annual revenue of the energy storage system, taking into account the defined strategy
  • Other revenue from the storage system through participation in ancillary services and the capacity market
  • In the case of thermal storage, savings from the total or partial replacement of gas boilers, by taking advantage of charging during hours of low prices or with renewable surpluses