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Chapter

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Title

Fostering Uncertainty Quantification in Global Challenges with mUQSA Toolkit

Authors

[ 1 ] Wydział Inżynierii Mechanicznej, Politechnika Poznańska | [ SzD ] doctoral school student

Scientific discipline (Law 2.0)

[2.9] Mechanical engineering

Year of publication

2025

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • Renewable Energy Sources
  • Uncertainty Quantification
  • mUQSA
  • multiscale
  • HPC
Abstract

EN In this paper focus is given on uncertainty quantification (UQ) and sensitivity analysis (SA) and their applicability to multiscale Global Challenges. Based on Renewable Energy Sources Global Challenge study, different approaches of applying UQ and SA are showcased. Naturally, UQ can be used to limit the uncertainties of the model and input data, thus providing results of better quality. SA can be used to estimate the influence of given input or model parameters on obtained results. This study can be also used to limit required parameters, thereby reducing the demand for HPC computational resources and time-to-solution required to run the model. However, UQ and SA can be also used to support solving Global Challenges problems which is showcased in this paper. This paper discusses also how multiscale Uncertainty Quantification and Sensitivity Analysis platform (mUQSA) and its underlying tools can effectively support UQ and SA of Global Challenges.

Date of online publication

01.04.2025

Pages (from - to)

35 - 46

DOI

10.1007/978-3-031-85703-4_3

URL

https://link.springer.com/chapter/10.1007/978-3-031-85703-4_3

Book

Parallel Processing and Applied Mathematics : 15th International Conference, PPAM 2024, Ostrava, Czech Republic, September 8–11, 2024, Revised Selected Papers, Part III

Presented on

15th International Conference on Parallel Processing and Applied Mathematics PPAM 2024, 8-11.09.2024, Ostrava, Czech Republic

Ministry points / chapter

20

Ministry points / conference (CORE)

20

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