Uncertainty Quantification in Energy Management Procedures
Complex energy systems are made up of a number of components interacting together via different energy vectors. The assessment of their performance under dynamic working conditions, where user demand and energy prices vary over time, requires a simulation tool. Regardless of the accuracy of this pro...
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Online Access: | https://www.mdpi.com/2079-9292/9/9/1471 |
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doaj-3e29cb2df9a0417d841047a9cdd1b7b92020-11-25T02:30:43ZengMDPI AGElectronics2079-92922020-09-0191471147110.3390/electronics9091471Uncertainty Quantification in Energy Management ProceduresLuca Giaccone0Paolo Lazzeroni1Maurizio Repetto2Dipartimento Energia “G. Ferraris”, Politecnico di Torino, 10129 Torino, ItalyFondazione LINKS, 10138 Torino, ItalyDipartimento Energia “G. Ferraris”, Politecnico di Torino, 10129 Torino, ItalyComplex energy systems are made up of a number of components interacting together via different energy vectors. The assessment of their performance under dynamic working conditions, where user demand and energy prices vary over time, requires a simulation tool. Regardless of the accuracy of this procedure, the uncertainty in data, obtained both by measurements or by forecasting, is usually non-negligible and requires the study of the sensitivity of results versus input data. In this work, polynomial chaos expansion technique is used to evaluate the variation of cogeneration plant performance with respect to the uncertainty of energy prices and user requests. The procedure allows to obtain this information with a much lower computational cost than that of usual Monte-Carlo approaches. Furthermore, all the tools used in this paper, which were developed in Python, are published as free and open source software.https://www.mdpi.com/2079-9292/9/9/1471cogenerationpolynomial chaos expansionuncertainty quantification |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Luca Giaccone Paolo Lazzeroni Maurizio Repetto |
spellingShingle |
Luca Giaccone Paolo Lazzeroni Maurizio Repetto Uncertainty Quantification in Energy Management Procedures Electronics cogeneration polynomial chaos expansion uncertainty quantification |
author_facet |
Luca Giaccone Paolo Lazzeroni Maurizio Repetto |
author_sort |
Luca Giaccone |
title |
Uncertainty Quantification in Energy Management Procedures |
title_short |
Uncertainty Quantification in Energy Management Procedures |
title_full |
Uncertainty Quantification in Energy Management Procedures |
title_fullStr |
Uncertainty Quantification in Energy Management Procedures |
title_full_unstemmed |
Uncertainty Quantification in Energy Management Procedures |
title_sort |
uncertainty quantification in energy management procedures |
publisher |
MDPI AG |
series |
Electronics |
issn |
2079-9292 |
publishDate |
2020-09-01 |
description |
Complex energy systems are made up of a number of components interacting together via different energy vectors. The assessment of their performance under dynamic working conditions, where user demand and energy prices vary over time, requires a simulation tool. Regardless of the accuracy of this procedure, the uncertainty in data, obtained both by measurements or by forecasting, is usually non-negligible and requires the study of the sensitivity of results versus input data. In this work, polynomial chaos expansion technique is used to evaluate the variation of cogeneration plant performance with respect to the uncertainty of energy prices and user requests. The procedure allows to obtain this information with a much lower computational cost than that of usual Monte-Carlo approaches. Furthermore, all the tools used in this paper, which were developed in Python, are published as free and open source software. |
topic |
cogeneration polynomial chaos expansion uncertainty quantification |
url |
https://www.mdpi.com/2079-9292/9/9/1471 |
work_keys_str_mv |
AT lucagiaccone uncertaintyquantificationinenergymanagementprocedures AT paololazzeroni uncertaintyquantificationinenergymanagementprocedures AT mauriziorepetto uncertaintyquantificationinenergymanagementprocedures |
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