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AI-Driven BESS Solution for Solar Plant Optimization in Equitación de Meres

Success Story: 120 kW / 261 kWh Energy Storage System Maximizing Solar Revenue Through Artificial Intelligence

Bexie Energy has deployed an advanced energy storage solution for a 60 kW photovoltaic plant located at Equitación de Meres, Asturias, addressing one of the most significant challenges facing renewable energy producers today: maximizing the value of solar generation under volatile electricity market conditions.

 

The plant faced two key challenges. First, electricity market prices (OMIE) frequently dropped to zero or even negative values during peak solar production hours, significantly reducing the profitability of exported energy. Second, a grid connection constraint limited power import and export to a maximum of 60 kW.

 

To overcome these challenges, Bexie Energy implemented a 120 kW / 261 kWh Battery Energy Storage System (BESS) managed by the company's proprietary Artificial Intelligence platform, capable of continuously analyzing solar production, battery state of charge, grid constraints, and real-time electricity market prices.

 

The solution stores excess solar energy during low-value periods and strategically releases it when electricity prices reach their highest levels.

 

Capturing Excess Solar Energy:

  • During midday hours, when solar production peaks and market prices decline, the AI platform automatically charges the battery system instead of exporting low-value energy to the grid.

Smart Grid Constraint Management:

  • The system continuously manages power flows to ensure that grid import and export limits are never exceeded.

Strategic Energy Trading:

  • During evening hours, when electricity prices increase significantly, the battery discharges stored energy back to the grid, maximizing revenue generation.

Key Benefits

  • Significant increase in solar plant profitability.
  • Elimination of losses associated with negative or low electricity prices.
  • Optimized energy trading and market participation.
  • Fully automated AI-driven operation.
  • Continuous compliance with grid constraints.
  • Greater operational flexibility.
  • Future-ready platform for advanced energy services.

This project demonstrates how the combination of battery storage and artificial intelligence can transform a conventional solar plant into an intelligent energy asset capable of adapting to market conditions and maximizing the value of every kilowatt-hour produced.

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