ENERGY WORKING GROUP
The Energy Group, led by Endesa, has the fundamental challenge of ensuring that generation at the PCT Cartuja is 100% renewable, local and based on a network of distributed energy resources, by 2025. Along with this, this working group will transform the current power grid into a smart grid that is capable of integrating these distributed energy resources (with bi-directional energy flows) and implementing new business models, under a shared ecosystem. In this way, the role of the eCitySevilla distribution network will be geared toward aggregators, prosumers and the new elements that will maintain the balance of the electrical system of the future.
The site of the island of La Cartuja, with nearly 2,000 hours of photovoltaic production per year, is an ideal area for solar energy implementation. The working group therefore, will develop a 30-megawatt photovoltaic generation project by building two large facilities in the Cartuja area. This objective will be complemented with the development of self-consumption facilities at the headquarters of the affiliated organisations, and other smaller generation plants distributed around the available spaces on the island of La Cartuja.
In addition, small and large-scale storage facilities will be developed to regulate generation and manage the load curve.
The establishment of an intelligent network as an integrating element of all this, will be made possible by automating and controlling the current distribution network. For this purpose, sensor equipment and information technologies will be incorporated. This is the network that will be in charge of including the connection to the new producers of energy from renewable sources (self-consumption), which by its distributed nature will be supplied in medium and low voltage, and the requirements of service quality and the technical limits of operation of the network shall be maintained at all times.
In an initial phase, using information and telecommunications technologies, the electrical network will be digitised and fitted with sensors, using remote control and command. This will provide a large amount of information, big data that will make the electricity system more efficient.
During a more advanced phase, in addition to mass data capture, artificial intelligence will be incorporated into the power grid through a series of algorithms that will add network self-repair capability, using advanced telecommunications systems such as 5G and Machine Learning.