Picture of athlete cycling

Open Access research with a real impact on health...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the Physical Activity for Health Group based within the School of Psychological Sciences & Health. Research here seeks to better understand how and why physical activity improves health, gain a better understanding of the amount, intensity, and type of physical activity needed for health benefits, and evaluate the effect of interventions to promote physical activity.

Explore open research content by Physical Activity for Health...

Availability growth and state-of-knowledge uncertainty simulation for offshore wind farms

Zitrou, Athena and Bedford, Tim and Walls, Lesley and Wilson, Kevin and Bell, Keith (2013) Availability growth and state-of-knowledge uncertainty simulation for offshore wind farms. In: 22nd ESREL conference 2013, 2013-09-29 - 2013-10-02.

Full text not available in this repository. Request a copy from the Strathclyde author


The UK offshore wind sector has developed rapidly, but needs to develop even further to meet the low carbon targets set by the government. In order to increase capacity and reduce costs, new offshore wind farms will use larger and more complex technology that goes beyond current understanding and experience. As a result, predicting the technical performance of offshore wind farms involves a considerable amount of uncertainty, especially during early life when teething problems may arise. We present a model that allows us to distinguish between natural variability and state-of-knowledge uncertainty when assessing the growth in technical performance of offshore wind farms over early operational life. As such, the model can be used to inform decisions to reduce uncertainties and to support effective risk management. To describe wind farm performance, we use an indicator we call availability-informed capability measures the capacity of the farm to generate electricity. We use an example based on a two-phase Monte Carlo simulation to illustrate the use of the model.