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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

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/2D89C3A8-C299-4640-A5E6-2ED7981E6B68-
Αναγνωριστικόhttps://doi.org/10.1016/j.renene.2020.05.076-
Αναγνωριστικόhttps://www.sciencedirect.com/science/article/pii/S0960148120307746-
Γλώσσαen-
Μέγεθος13 pagesen
ΤίτλοςStochastic weather generator for the design and reliability evaluation of desalination systems with renewable energy sourcesen
ΔημιουργόςAilliot, Pierreen
ΔημιουργόςBoutigny Marieen
ΔημιουργόςKoutroulis Eftychiosen
ΔημιουργόςΚουτρουλης Ευτυχιοςel
ΔημιουργόςMalisovas Athanasiosen
ΔημιουργόςΜαλισοβας Αθανασιοςel
ΔημιουργόςMonbet Valérieen
ΕκδότηςElsevieren
ΠερίληψηThe 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
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2021-05-14-
Ημερομηνία Δημοσίευσης2020-
Θεματική ΚατηγορίαRenewable energy sourcesen
Θεματική ΚατηγορίαDesalinationen
Θεματική ΚατηγορίαStochastic weather generatorsen
Θεματική ΚατηγορίαMarkov-switching autoregressive modelsen
Θεματική ΚατηγορίαNon-parametric resamplingen
Θεματική ΚατηγορίαDesign optimizationen
Βιβλιογραφική ΑναφοράP. 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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