SENIA

SENIA (Energy System with Intelligent Batteries for Industrial Applications) develops a pre-design and feasibility tool that facilitates the integration of BESS in industrial self-consumption plants. The tool sizes the system and evaluates its technical, economic, and environmental feasibility, incorporating an energy management algorithm (AI + optimization) that maximizes the use of renewables, reduces CO₂ emissions, and minimizes costs while ensuring demand coverage.

The project combines physical BESS models, load and generation forecasting, and synergies with the electricity market into a holistic model. It is validated using real data, simulations, and HIL/PHIL laboratory testing, measuring KPIs such as efficiency, OPEX, surplus energy commercialization, and emissions reduction. In this way, SENIA overcomes the limitations of existing tools by adapting to national regulatory and tariff contexts and integrating environmental criteria into system sizing.

Consortium and roles: R2M leads the algorithm, the feasibility model, and the tool; NEXUS provides regulatory, market, and financial validation; IREC develops battery models, forecasting, and experimental validation. Expected results include a ready-to-use tool for BESS pre-design and feasibility studies, optimized operation algorithms, and quantified evidence of energy, economic, and environmental impact in industry.