期刊
ENERGY
卷 183, 期 -, 页码 1061-1074出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2019.06.181
关键词
Tidal energy; Prediction; Turbulence; Power quality; Orkney; Resource characterisation
资金
- Welsh Government
- Higher Education Funding Council for Wales through the Ser Cymru National Research Network for Low Carbon, Energy and Environment
- Ser Cymru National Research Network for Low Carbon, Energy and the Environment (NRN-LCEE)
- EPSRC METRIC project [EP/R034664/1]
- Welsh European Funding Office
- European Regional Development Fund Convergence Programme
- EPSRC [EP/R034664/1] Funding Source: UKRI
Temporal variability in renewable energy presents a major challenge for electrical grid systems. Tides are considered predictable due to their regular periodicity; however, the persistence and quality of tidal-stream generated electricity is unknown. This paper is the first study that attempts to address this knowledge gap through direct measurements of rotor-shaft power and shore-side voltage from a 1 MW, rated at grid-connection, tidal turbine (Orkney Islands, UK). Tidal asymmetry in turbulence parameters, flow speed and power variability were observed. Variability in the power at 0.5 Hz, associated with the 10-min running mean, was low (standard deviation 10-12% of rated power), with lower variability associated with higher flow speed and reduced turbulence intensity. Variability of shore-side measured voltage was well within acceptable levels (similar to 0.3% at 0.5 Hz). Variability in turbine power had <1% difference in energy yield calculation, even with a skewed power variability distribution. Finally, using a t-location distribution of observed fine-scale power variability, in combination with an idealised power curve, a synthetic power variability model reliably downscaled 30 min tidal velocity simulations to power at 0.5 Hz (R-2 = 85% and similar to 14% error). Therefore, the predictability and quality of tidal-stream energy was high and may be undervalued in a future, high-penetration renewable energy, electricity grid. (C) 2019 The Authors. Published by Elsevier Ltd.
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