A Toolbox for Design of Experiments for Energy Systems in Co-Simulation and Hardware Tests
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916448839925760 |
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| author | Schwarz, Jan Sören Perez, Leonard Enrique Ramos Pham, Minh Cong Heussen, Kai Tran, Quoc Tuan |
| author_facet | Schwarz, Jan Sören Perez, Leonard Enrique Ramos Pham, Minh Cong Heussen, Kai Tran, Quoc Tuan |
| contents | In context of highly complex energy system experiments, sensitivity analysis is gaining more and more importance to investigate the effects changing parameterization has on the outcome. Thus, it is crucial how to design an experiment to efficiently use the available resources. This paper describes the functionality of a toolbox designed to support the users in design of experiment for (co-)simulation and hardware tests. It provides a structure for object-oriented description of the parameterization and variations and performs sample generation based on this to provide a complete parameterization for the recommended experiment runs. After execution of the runs, it can also be used for analysis of the results to calculate and visualize the effects. The paper also presents two application cases using the toolbox which show how it can be implemented in sensitivity analysis studies with the co-simulation framework mosaik and a hybrid energy storage experiment. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_16923 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Toolbox for Design of Experiments for Energy Systems in Co-Simulation and Hardware Tests Schwarz, Jan Sören Perez, Leonard Enrique Ramos Pham, Minh Cong Heussen, Kai Tran, Quoc Tuan Computational Engineering, Finance, and Science In context of highly complex energy system experiments, sensitivity analysis is gaining more and more importance to investigate the effects changing parameterization has on the outcome. Thus, it is crucial how to design an experiment to efficiently use the available resources. This paper describes the functionality of a toolbox designed to support the users in design of experiment for (co-)simulation and hardware tests. It provides a structure for object-oriented description of the parameterization and variations and performs sample generation based on this to provide a complete parameterization for the recommended experiment runs. After execution of the runs, it can also be used for analysis of the results to calculate and visualize the effects. The paper also presents two application cases using the toolbox which show how it can be implemented in sensitivity analysis studies with the co-simulation framework mosaik and a hybrid energy storage experiment. |
| title | A Toolbox for Design of Experiments for Energy Systems in Co-Simulation and Hardware Tests |
| topic | Computational Engineering, Finance, and Science |
| url | https://arxiv.org/abs/2410.16923 |