Future intelligent and integrated energy systems must have a high degree of flexibility and efficiency to ensurereliable and sustainable operation. Along with the rapid expansion of renewable energy, this degree of flexibility and efficiency can be achieved by overcoming the clear separation between different sectors and by increasing connectivity and the associated data availability through the integration of sensors and edge/fog computing. All of these developments drivethe transition from towardsso-called Cyber Physical Energy Systems. The cyber technologies (sensors, edge/fog computing, IoT networks, etc.) areable to monitor the physical systems, to enable communication between different subsystems and to control them.Modelling and simulation tools are of central importance for the optimal operation of integrated energy systems. Due to the above-mentionedcharacteristics of future intelligent energy systems, the requirements for modelling and simulation have heightened. Project results and findings in the literature have shown that in the field of modelling and simulation, the combination of three paradigms is of major importance: the description of physical components by differential-algebraic equations, the description of discrete systems by discrete-event models and learning from data by means of machine-learning algorithms. The arguments for the "why" in the field of intelligent, integrated energy systems have been clearly established; however,the "how" remains an open research question. The exploratory project NextHyb2 addresses this research gap by exploring the concept of hybrid-hybrid system simulations for integrated energy systems. Methods, tools and systemic solutions will be developed and evaluated together with experts. Furthermore, the solution will be implemented and tested on the basis of a proof of concept.It can be assumed that in most future research and development projects in the field of integrated energy systems, the tools of modelling and simulation will playan integral part. Their role will assit in optimisingthesetup and operation of energy communities or for building models for prediction and diagnosis in the field of energy networks. The project results should serve to ensure that these future projects can be based on an objective and rationally comprehensible evaluation of the possibilities and fundamental limitations in the field of hybrid-hybrid system simulations. Thus, the project serves as preparation for future research and development projects in the field of intelligent, integrated energy systems.
|Effective start/end date
|1/02/21 → 31/01/22
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