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Model Validation and Uncertainty Quantification, Volume 3 pp 85–101Cite as

Towards Robust Sustainable System Design: An Engineering Inspired Approach

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Abstract

An engineering inspired method called multi-pole system analysis (MPSA) is presented and applied to an innovative wind-energy converter. The method offers a consecutive and structured guideline to determine optimal system designs in the tense interrelations of sustainability requirements, e.g. energetic efficiency, economic profitability and environmental quality. The method consists of the four steps of (1) system synthesis, (2) system analysis under uncertainty, (3) stochastic system optimization and (4) sensitivity analysis and addresses the involved uncertainty due to lack of information in the early stage of system design. As the results indicate, only a simultaneous consideration of the involved domains can truly lead to an optimal system design. By incorporating uncertainty aspects within the second step of the method and performing stochastic optimization, the disadvantage of missing robustness of previous deterministic optimal systems is overcome.

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Abbreviations

The nomenclature is shown in the dimension of length (L), mass (M), time (T) and currency (C).:

The nomenclature is shown in the dimension of length (L), mass (M), time (T) and currency (C).

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Acknowledgement

The authors would like to thank the Deutsche Forschungsgemeinschaft (DFG) for the financial support in the framework of the Excellence Initiative, Darmstadt Graduate School of Excellence Energy Science and Engineering (GSC 1070).

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Authors and Affiliations

  1. Chair of Fluid Systems, Technische Universität Darmstadt, Otto-Berndt-Straße 2, 64287, Darmstadt, Germany

    Mario Holl & Peter F. Pelz

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  1. Mario Holl
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  2. Peter F. Pelz
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Correspondence to Mario Holl .

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Editors and Affiliations

  1. University of Sheffield, Sheffield, United Kingdom

    Robert Barthorpe

  2. Fraunhofer Institute Darmstadt, Darmstadt, Germany

    Roland Platz

  3. Lawrence Livermore National Laboratory, Livermore, California, USA

    Israel Lopez

  4. Tufts University, Medford, Massachusetts, USA

    Babak Moaveni

  5. University of Thessaly, Thessaly, Greece

    Costas Papadimitriou

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Holl, M., Pelz, P.F. (2017). Towards Robust Sustainable System Design: An Engineering Inspired Approach. In: Barthorpe, R., Platz, R., Lopez, I., Moaveni, B., Papadimitriou, C. (eds) Model Validation and Uncertainty Quantification, Volume 3. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-54858-6_10

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  • DOI: https://doi.org/10.1007/978-3-319-54858-6_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54857-9

  • Online ISBN: 978-3-319-54858-6

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