![]() ![]() ![]() Several modeling and optimization approaches are presented in (and the references cited therein). The challenges described above require powerful tools for coupled multi-energy grid (MEG) simulation and optimization. These cases show the importance of performing coupled simulations for the design and analysis of future energy infrastructures, as well as why the software should fulfill the three criteria. The second case study analyzes the potential of a power-to-gas device to provide flexibility in a power grid while considering gas grid constraints. The first case study demonstrates a peak shaving strategy as an interaction of a local electricity and district heating grid in a small neighborhood. Then, we show two case studies that have been performed with pandapipes already. In an introduction to pandapipes, we illustrate how it fulfills these criteria through its internal structure and demonstrate how it performs in comparison to STANET ®. We introduce the open source piping grid simulation tool pandapipes that-in interaction with pandapower-addresses three crucial criteria: clear data structure, adaptable MEG model setup and performance. In this work, we analyze a number of applicable tools and find that most of them do not allow coupling of infrastructures, oversimplify the grid model or are based on inaccessible source code. The increasing complexity of the design and operation evaluation process of multi-energy grids (MEGs) requires tools for the coupled simulation of power, gas and district heating grids. ![]()
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