{"id":26374,"date":"2023-09-05T13:58:36","date_gmt":"2023-09-05T11:58:36","guid":{"rendered":"https:\/\/www.ita.es\/solucion-tecnologica\/electric-parks-self-consumption-and-energy-communities\/"},"modified":"2024-11-04T12:59:15","modified_gmt":"2024-11-04T11:59:15","slug":"electric-parks-self-consumption-and-energy-communities","status":"publish","type":"solucion_tecnologica","link":"https:\/\/www.ita.es\/en\/technological-solutions\/electric-parks-self-consumption-and-energy-communities\/","title":{"rendered":"Electric power plants, self-consumption, and energy communities"},"content":{"rendered":"\n
\n
\r\n \r\n
\r\n \n\n

What does it solve?<\/h2>\n\n\n\n

Distributed generation, self-consumption systems, and energy communities have ushered in a paradigm shift in the energy sector<\/strong>, diversifying the stakeholders involved and increasing the complexity of plant operations. The competitiveness of these new models relies on precise sizing and optimal operation<\/strong> and maintenance management<\/strong>.<\/p>\n\n\r\n <\/section>\r\n \r\n\n\n\n

<\/div>\n\n\n\n

Advantages and benefits<\/h2>\n\n\n\n

At ITA, we combine our expertise<\/strong> in energy, electrical, and thermal systems with AI technologies <\/strong>to characterize consumption, design generation plants and storage systems, and achieve optimal integration <\/strong>that maximizes the profitability<\/strong> of self-consumption and energy communities\u2014whether domestic, industrial, or virtual.<\/p>\n\n\n\n

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\u2019s expertise in IoT and AI supports the development of advanced sensorization and monitoring systems for generation plants<\/strong>.<\/p>\n\n\n\n

By utilizing these measurements and simulation models based on physical phenomena and\/or experimental data, we can predict system performance<\/strong> and potential failures<\/strong>. ITA\u2019s experience in developing real-time models further enables us to prescribe recommendations, paving the way for predictive maintenance. <\/p>\n\n\n\n

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\u2019s expertise in perception systems, navigation and mapping, and collaborative robotics enables us to develop drones and robots for inspecting and maintaining energy infrastructures<\/strong>, allowing for efficient data collection, reduced maintenance time and downtime, and improved personnel safety.<\/p>\n\n\n\n

<\/div>\n<\/div>\n<\/div>\n\n\n\r\n \r\n
\r\n
\r\n
\r\n\r\n \n\n

Success stories<\/h3>\n\n\r\n \r\n
\r\n \r\n See all success stories <\/span>\r\n <\/a>\r\n <\/div>\r\n\r\n