Data case studies

Offshore windfarm

Examples of how our weather and climate data and consultancy have been used to help our customers

We can assist with all sorts of business challenges that the energy sector faces:

Here are just some examples:

Climate change impacts on UK energy industry

We teamed up with E.ON UK, EDF Energy and the National Grid to use climate predictions to understand how climate change will affect future energy demand, and the information needed to adapt to those changes. By the 2050s, the lifecycle of current and planned energy infrastructure, generating effectiveness, network resilience and energy demand will alter due to climate change. Corporate planning demands that important decisions are based upon the best available information. Present climate information does not enable the industry to make informed decisions on future infrastructure and operational requirements. A scoping study was commissioned to assess the scale of climate change impacts, and begin a process that would enable the industry to anticipate the impacts of climate change.

Crown Estate offshore wind map

The Crown Estate needed an updated wind resource layer for use within its GIS system to support on-going offshore resource planning and to update its spatial levelised cost of energy model for offshore wind resource. The approach taken to produce the UK Offshore Wind Dataset utilises two datasets already available to the Met Office; a very high resolution, 1.5 km horizontal resolution, UK operational forecast model archive of length 4+ years and a high resolution, 4.4 km horizontal resolution, European hindcast dataset spanning 1979 to present. The European hindcast dataset was used to generate the 4.4 km resolution UK Offshore Wind Dataset spanning the Renewable Energy Zone (REZ) Waters. The UK 1.5 km data through a directional dependent linear regression was used to adjust the European hindcast to produce the 1.5 km resolution UK Offshore Wind Dataset covering the area of interest which was less than 40 m of water around the coastal regions.

CTC Marine

In order to calculate how much weather delay would be likely for a 3 stage, 11 day trenching operation at Greater Gabbard, we conducted an analysis that calculated the likely delay that would occur with varying thresholds and durations for each stage. The analysis also assessed the difference it would make if a break were allowed between the stages. As well as providing the analysis we liaised extensively with the client throughout the project and the end result was an optimised operating strategy for them to use in their planning.

MT Hoojgaard

We helped MT Hoojgaard with a special weather windows analysis for installing wind turbine foundations. They wanted to know how many repeat windows were possible in a month, and how long each window may be in order to establish how many turbine foundations could be laid. We provided statistics on how many blocks of windows were likely in a month. We also estimated the number of 'spare hours' that, although would not allow enough time for turbine foundation work, would be below their specified threshold.

National Solar Centre - UK solar map development

We helped the National Solar Centre explore potential data sources to provide the best representation of solar irradiance across the UK in order to improve estimates of long term solar PV power generation. Data investigated included ground met station observations, enhanced CM-SAF satellite observations and Met Office Euro4 model data. Comparisons in bias and standard deviation were analysed between model and satellite data against a large number of ground based observation data stations across the UK. A formula was defined which best represents the long term solar PV generation and which can now be adopted by the industry for due diligence reporting.

RES / Centrica

RES / Centrica turned to us to carry out a downtime/spells analysis comparison between two routes from different harbours to a windfarm, to help aid port selection. Our analysis considered the weather limits that were imposed on the vessel leaving the port and the weather limits on the transit to the windfarm. The results showed that the port furthest away was actually the best to use due to the strict weather limits at the alternative, nearer port.

Strategic Energy Authority of Ireland (SEAI) - Irish wind map development

We engaged the SEAI to develop a high resolution wind map for Ireland to support renewable wind energy developments. The map was produced to a resolution of 1 sq km and a number of diagnostics were made available at each node including long term average wind speeds, weibell curve shape parameters and one year of time series data at hourly resolution. The map has various layers showing the location of existing wind farms and other restrictions both offshore and onshore. There is also a transparency function that enables the user to see the geography and terrain underlying the wind data and users can select the latitude and longitude of their sites of interest to access the stored met data.

Xoserve climate science project

The British gas industry needs accurate weather information to help it manage demand. Xoserve, central provider of data services to the industry, asked us to devise a methodology whereby a suitable replacement weather station could be chosen should a station used for Demand Estimation be closed. We were able to supply a methodology that would help relate gas demand to weather throughout Great Britain. The methodology was comprehensive, accurate, and adjustable to specific regions. It was easily replicable by the gas companies themselves, thus enabling them to generate substitute data for new weather stations from the data of redundant ones. This ensured continuity of gas demand forecasting and settlement. It also provided the industry with accurate datasets going back decades for 26 stations spread throughout Great Britain.

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Last updated: 11 October 2016

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