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General software scheme
Solar Thermal and Photochemical Technologies
S-080
Software tool for the electrical mix optimization
Abstract
CIEMAT has developed a software tool for multi-objective electricity mix optimization, using artificial intelligence, specifically genetic algorithms. Such optimization estimates the optimal power to be installed for photovoltaic, wind and CSP plants, that satisfy at least the demand, minimize the curtailments at the lowest possible cost and may be subject to constraints, as for example, not to surpass the allowed maximum CO2 equivalent emissions.
What problems does it solve?
This invention identifies the optimal electricity mix necessary for the decarbonisation of the electricity market through renewable energy.
Benefits
• Optimization of electricity mix based on defined criteria: 100% coberage of the demand while simultaneously minimizing the electricty cost and curtailments.
• Can be applied to any country or región, so it can be used in political decisión-making.
• Satisfying the electricity demand without exceeding a máximum amount of established GHG emissions.
• It is possible to obtain detailed results at hourly level about production, cost and emissions.
Potential customers
• Agencies and government organizations focusing on energy field.
• Companies related to the energy sector.
• Energy consulting companies.
About the technology
• Technology developed, to be licensed.
• Registered work.
• Collaboration requested: License agreement.