A simplified model for estimating the monthly performance of autonomous wind energy systems with battery storage

A.N. Celik

Renewable Energy, 2003, vol. 28, issue 4, 561-572

Abstract: This paper presents a simplified algorithm to estimate the monthly performance of autonomous small-scale wind energy systems with battery storage. The novel model is drawn based on the simulation results, using eight-year long hour-by-hour measured wind speed data from five different locations throughout the world. An hourly constant load profile is used. The renewable energy simulation program (ARES) of the Cardiff School of Engineering is used. The ARES simulates the battery state of voltage (SoV) and is able to predict the system performance.

Keywords: Autonomous wind energy system; Monthly system performance of wind energy systems; Weibull wind speed distribution function (search for similar items in EconPapers)
Date: 2003
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Citations: View citations in EconPapers (17)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:28:y:2003:i:4:p:561-572

DOI: 10.1016/S0960-1481(02)00067-8

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