Identifying and characterising large ramps in power output of offshore wind farms

Recently there has been a significant change in the distribution of wind farms in Great Britain with the construction of clusters of large offshore wind farms. These clusters can produce large ramping events (i.e. changes in power output) on temporal scales which are critical for managing the power system (30 minute, 60 minute and 4 hours). This study analyses generation data from the Thames Estuary cluster in conjunction with meteorological observations to determine the magnitude and frequency of ramping events and the meteorological mechanism. Over a 4 hour time window, the extreme ramping events of the Thames Estuary cluster were caused by the passage of a cyclone and associated weather fronts. On shorter time scales, the largest ramping events over 30 minute and 60 minute time windows are not associated with the passage of fronts. They are caused by three main meteorological mechanisms; (1) very high wind speeds associated with a cyclone causing turbine cut-out (2) gusts associated with thunderstorms and (3) organised band of convection following a front. Despite clustering offshore capacity, the addition of offshore wind farms has increased the mean separation between capacity and therefore reduced the variability in nationally aggregated generation on high frequency time scales

The impact of future offshore wind farms on wind power generation in Great Britain

In the coming years the geographical distribution of wind farms in Great Britain is expected to change significantly. Following the development of the “round 3” wind zones (circa 2025), most of the installed capacity will be located in large offshore wind farms. However, the impact of this change in wind-farm distribution on the characteristics of national wind generation is largely unknown. This study uses a 34-year reanalysis dataset (Modern-Era Retrospective Analysis for Research and Applications (MERRA) from National Aeronautics and Space Administration, Global Modeling and Assimilation Office (NASA-GMAO)) to produce a synthetic hourly time series of GB-aggregated wind generation based on: (1) the “current” wind farm distribution; and (2) a “future” wind farm distribution scenario. The derived data are used to estimate a climatology of extreme wind power events in Great Britain for each wind farm distribution. The impact of the changing wind farm distribution on the wind-power statistics is significant. The annual mean capacity factor increased from 32.7% for the current wind farm distribution to 39.7% for the future distribution. In addition, there are fewer periods of prolonged low generation and more periods of prolonged high generation. Finally, the frequency and magnitude of ramping in the nationally aggregated capacity factor remains largely unchanged. However, due to the increased capacity of the future distribution, in terms of power output, the magnitude of the ramping increases by a factor of 5

High Entropy Rare Earth A2b2o7 Type Zirconates

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The importance of forecasting regional wind power ramping: a case study for the UK

In recent years there has been a significant change in the distribution of wind farms in Great Britain, with a trend towards very large offshore farms clustered together in zones. However, there are concerns these clusters could produce large ramping events on time scales of less than 6 hours as local meteorological phenomena simultaneously impact the production of several farms. This paper presents generation data from the wind farms in the Thames Estuary (the largest cluster in the world) for 2014 and quantifies the high frequency power ramps. Based on a case study of a ramping event which occurred on 3rd November 2014, we show that due to the large capacity of the cluster, a localised ramp can have a significant impact on the cost of balancing the power system on a national level if it is not captured by the forecast of the system operator. The planned construction of larger offshore wind zones will exacerbate this problem. Consequently, there is a need for accurate regional wind power forecasts to minimise the costs of managing the system. This study shows that state-of-the-art high resolution forecast models have capacity to provide valuable information to mitigate this impact

Assessing social recovery of vulnerable youth in global mental health settings: a pilot study of clinical research tools in Malaysia

Background A social recovery approach to youth mental health focuses on increasing the time spent in valuable and meaningful structured activities, with a view to preventing enduring mental health problems and social disability. In Malaysia, access to mental health care is particularly limited and little research has focused on identifying young people at risk of serious socially disabling mental health problems such as psychosis. We provide preliminary evidence for the feasibility and acceptability of core social recovery assessment tools in a Malaysian context, comparing the experiential process of engaging young Malaysian participants in social recovery assessments with prior accounts from a UK sample. Methods Nine vulnerable young people from low-income backgrounds were recruited from a non-government social enterprise and partner organisations in Peninsular Malaysia. Participants completed a battery of social recovery assessment tools (including time use, unusual experiences, self-schematic beliefs and values). Time for completion and completion rates were used as indices of feasibility. Acceptability was examined using qualitative interviews in which participants were asked to reflect on the experience of completing the assessment tools. Following a deductive approach, the themes were examined for fit with previous UK qualitative accounts of social recovery assessments. Results Feasibility was indicated by relatively efficient completion time and high completion rates. Qualitative interviews highlighted the perceived benefits of social recovery assessments, such as providing psychoeducation, aiding in self-reflection and stimulating goal setting, in line with findings from UK youth samples. Conclusions We provide preliminary evidence for the feasibility and acceptability of social recovery assessment tools in a low-resource context, comparing the experiential process of engaging young Malaysian participants in social recovery assessments with prior accounts from a UK sample. We also suggest that respondents may derive some personal and psychoeducational benefits from participating in assessments (e.g. of their time use and mental health) within a social recovery framework

Interannual weather variability and the challenges for Great Britain’s electricity market design

Global growth in variable renewable generation has brought significant attention to the challenge of balancing electricity supply and demand. However, inter-annual variability of energy resources has only recently begun to feature in energy system assessments and receives limited recognition in policy discussion, let alone policy design. Meteorological reanalysis datasets that blend modern modelling techniques with historic weather records are seeing increased application in energy system studies. This practice offers insights for market and policy design implications as governments seek to manage the changing energy landscape, as seen with the UK’s introduction of the Electricity Market Reform policy package. Here we apply a concise, Load Duration Curve based approach to consider the market and policy implications of increasing variability in the Great Britain (GB) energy system. Our findings emphasise the growing inter-annual variability in operating opportunity for residual mid-merit and even baseload generation, alongside implications for capacity assurance approaches. The growth in wind generation is seen to bring an accompanying opportunity for increased solar generation, with its lower inter-annual variability and largely uncorrelated annual characteristic. The results underscore the need for an increased recognition of inter-annual variability when addressing market design and incentive mechanisms