Matérn process-based simulation of wind speed time series. (15th August 2022)

• Record Type: Journal Article
• Authors: Mena, R.; Zio, E.; Viveros, P.
• Is Part Of: Energy conversion and management. Volume 266(2022)
• Publication Date: 2022-08-15
• Subjects: Renewable energy -- Wind speed -- Time series -- Simulation -- Matérn process -- Fourier spectrum; Direct energy conversion -- Periodicals; Energy storage -- Periodicals; Energy transfer -- Periodicals; Énergie -- Conversion directe -- Périodiques; Direct energy conversion; Periodicals; 621.3105
• DOI: 10.1016/j.enconman.2022.115596
• Languages: English
• ISSNs: 0196-8904

Abstract

Highlights: Wind speed random component is modelled through the Matérn stochastic process. A procedure is proposed to extract long and short-term periodical components. A procedure for simulating discrete wind speed time series of data is presented. Statistical validation against historical wind speed series of data is performed. Abstract: This work proposes a practical methodological framework for simulating long-term discrete wind speed time series, for applications to renewable energy systems. The framework is based on the Matérn stochastic process, that is used to identify and extract the short and long-term periodic components present in the mean and variance of a wind speed time series, and to characterize the residual random component. The procedure of construction of synthetic wind speed time series is developed, rooted in a fast numerical simulation algorithm for the Matérn process. We empirically validate the usefulness of the proposed framework by numerical experiments based on three real historical wind speed datasets. The results show consistent statistical similarities between the historical and simulated wind speed time series of data.