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Stochastic weather generator for the design and reliability evaluation of desalination systems with renewable energy sources

Ailliot, Pierre, Boutigny Marie, Koutroulis Eftychios, Malisovas Athanasios, Monbet Valérie

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URIhttp://purl.tuc.gr/dl/dias/2D89C3A8-C299-4640-A5E6-2ED7981E6B68-
Identifierhttps://doi.org/10.1016/j.renene.2020.05.076-
Identifierhttps://www.sciencedirect.com/science/article/pii/S0960148120307746-
Languageen-
Extent13 pagesen
TitleStochastic weather generator for the design and reliability evaluation of desalination systems with renewable energy sourcesen
CreatorAilliot, Pierreen
CreatorBoutigny Marieen
CreatorKoutroulis Eftychiosen
CreatorΚουτρουλης Ευτυχιοςel
CreatorMalisovas Athanasiosen
CreatorΜαλισοβας Αθανασιοςel
CreatorMonbet Valérieen
PublisherElsevieren
Content SummaryThe operation of Renewable Energy Sources (RES) systems is highly affected by the continuously changing meteorological conditions and the design of a RES system has to be robust to the unknown weather conditions that it will encounter during its lifetime. In this paper, the use of Stochastic Weather Generators (SWGENs) is introduced for the optimal design and reliability evaluation of hybrid Photovoltaic/Wind-Generator systems providing energy to desalination plants. A SWGEN is proposed, which is based on parametric Markov-Switching Auto-Regressive (MSAR) models and is capable to simulate realistic hourly multivariate time series of solar irradiance, temperature and wind speed of the target installation site. Numerical results are presented, demonstrating that: (i) SWGENs enable to evaluate the reliability of RES-based desalination plants during their operation over a 20 years lifetime period and (ii) using an appropriate time series simulated with a SWGEN as input to the design optimization process results in a RES-based desalination plant configuration with higher reliability compared to the configurations derived when the other types of meteorological datasets are used as input to the design optimization process.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2021-05-14-
Date of Publication2020-
SubjectRenewable energy sourcesen
SubjectDesalinationen
SubjectStochastic weather generatorsen
SubjectMarkov-switching autoregressive modelsen
SubjectNon-parametric resamplingen
SubjectDesign optimizationen
Bibliographic CitationP. Ailliot, M. Boutigny, E. Koutroulis, A. Malisovas, and V. Monbet, “Stochastic weather generator for the design and reliability evaluation of desalination systems with renewable energy sources,” Renew. Energy, vol. 158, pp. 541–553, Oct. 2020. doi: 10.1016/j.renene.2020.05.076en

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