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support the development of a European energy system model by benchmarking future technologies and optimizing their representation within the FINE optimization modelling framework ( https://github.com/FZJ
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27.03.2025, Wissenschaftliches Personal The Chair of Renewable and Sustainable Energy Systems (ENS) at the Technical University of Munich (TUM) deals with the modeling and optimization of energy
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Your Job: The transformation of the European energy system towards greenhouse gas neutrality is fundamentally changing our energy landscape. In the future, wind and solar power plants are expected
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Your Job: Current political developments clearly show how crucial a robust and affordable energy supply is for society and the economy. The transition to a greenhouse gas-neutral, renewable energy
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system analysis or comparable Initial experience in optimization or statistics is an advantage Initial experience of an object-oriented programming language (e.g. Python, Matlab) and MS Office Analytical
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05.05.2025, Wissenschaftliches Personal The Chair of Renewable and Sustainable Energy Systems (ENS) at the Technical University of Munich (TUM) deals with the modeling and optimization of energy
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Your Job: The transformation of the European energy system to greenhouse gas neutrality will promote independence from fossil fuels. However, it raises the question of how to deal with emissions
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addition to technical models allowing to assess technical scaling and an optimal operation. The optimal plant design is identified by considering the energy supply system, the choice of capture technology, the DAC
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thesis is the implementation of these technologies in an integrated energy system model that represents all sectors of the energy system with a high degree of technological detail. This optimization model
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transition. The optimal production, transport and storage of hydrogen are indispensable for it. The researchers are working on the system design of mobile hydrogen storage, infrastructure for stationary energy