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Industrial energy systems

Industrial energy systems

Industrial energy systems are complex systems, which, in general, connect different types of energy, such as heat, electricity, or chemicals. The transformation of the classical energy system to a renewable energy system provides both opportunities and challenges for industrial energy systems: Intelligent integration and interaction enables industrial energy systems to stabilize the energy system, while simultaneously reducing their own energy costs. At the same time, industrial energy systems have to ensure security of supply to maintain the quality of their production processes. IEK-10 aims to provide models and methods to optimally design and operate industrial energy system that exploit these opportunities and overcome the challenges.

Buildings and districts

Buildings and districts

Buildings account for approximately 40 % of all energy consumption within the European Union. Therefore, buildings and city districts play an important part in the current transformations of energy systems. While new buildings and pilot projects demonstrate significant energy savings, large potentials for reductions in the existing building stock still remain unexploited. Such potentials result e.g. from improved possibilities of digitalisation, decentral generation and self-consumption of electricity, the coupling and interaction between different forms of energy, and dynamic control strategies, load shifting and local storage of energy. In this context, modeling and optimization of buildings and districts at IEK-10 support these transformations towards higher efficiency, more flexibility and increased shares of renewable energies.

Optimization methods

Optimization methods

To design efficient, cost-effective and robust energy systems, IEK-10 applies and actively develops numerical optimization methods. Mathematical models of complex energy systems typically comprise a huge number of equations and variables (degrees of freedom). Moreover, nonlinearity, high dynamics and many discrete decision variables present serious challenges in the optimization of such models. IEK-10 therefore develops tailor-made algorithms and exploits the potential of high performance computing to achieve high scalability of the developed models and methods. To reliably find the best designs (the global optimum) in the presence of numerous local optima, we employ and develop methods for deterministic global optimization. IEK-10 also has special expertise in the fields of bilevel programming and multi-objective optimization.


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