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Distributed generation, self-consumption systems, and energy communities have ushered in a paradigm shift in the energy sector, diversifying the stakeholders involved and increasing the complexity of plant operations. The competitiveness of these new models relies on precise sizing and optimal operation and maintenance management.
At ITA, we combine our expertise in energy, electrical, and thermal systems with AI technologies to characterize consumption, design generation plants and storage systems, and achieve optimal integration that maximizes the profitability of self-consumption and energy communities—whether domestic, industrial, or virtual.
Efficient operation and maintenance management are based on integrated, accessible, and user-friendly monitoring that enables insight into key parameters and early detection of anomalies. ITA’s expertise in IoT and AI supports the development of advanced sensorization and monitoring systems for generation plants.
By utilizing these measurements and simulation models based on physical phenomena and/or experimental data, we can predict system performance and potential failures. ITA’s experience in developing real-time models further enables us to prescribe recommendations, paving the way for predictive maintenance.
Maintenance in electric generation plants often involves repetitive, physically demanding, or risky tasks. The use of robots and drones facilitates the inspection of large plants or hard-to-reach areas, enhancing maintenance efforts. ITA’s expertise in perception systems, navigation and mapping, and collaborative robotics enables us to develop drones and robots for inspecting and maintaining energy infrastructures, allowing for efficient data collection, reduced maintenance time and downtime, and improved personnel safety.
