Project Start Date
01st Jun 2016
Project End Date
30th Nov 2016
High-Resolution Solar and Wind Energy Datasets for Ireland
High-resolution datasets for use in renewable energy applications
The aim of this project was to produce and make available, long-term, high-resolution gridded datasets of solar radiation and wind energy (onshore and offshore) fields for Ireland.
The climate of Ireland was simulated by downscaling ECMWF ERAInterim global data using the following Numerical Weather Models (NWPs):
- ICHEC WRF with 2-km grid spacing
- ICHEC COSMO-CLM5 with 1.5-km grid spacings
Each simulation covers the period 1981-Present and fields are archived at one-hour intervals. The NWP simulations were carried out as part of an Environmental Protection Agency (EPA) funded project.
The datasets were post-processed so that end-users can easily access and manipulate the data. For example, a Weibull probability density distribution was fitted to the hourly, monthly, seasonal and annual wind speed time series (1981-2016) at each grid-point at heights 20m, 40m,.., 200m. The Weibull datasets allows the end-user to simply calculate derived statistics as opposed to analysing the entire dataset. The datasets were also post-processed so that a wind rose at a user defined height and location can be easily calculated. These post-processed datasets reduced the size of the datasets from 50TB to 10GB and reduces the time required to produce useful statistics from days to seconds.
The methods developed through the SEAI-funded project are being applied to a current EPA-funded project which involves analysing and promoting the recently completed Met Éireann reanalysis (MÉRA) simulation of Ireland.
It is expected that applications of the datasets will include an update of the SEAI wind atlas and the development of a first solar atlas for Ireland. A solar atlas will allow for policy makers, industry and the general public to make informed decisions on the cost-effectiveness of solar energy installations (see Figure 1). In addition, the datasets will be shared with industry and third level institutes and hence promote wind and solar energy research and development in Ireland.
The research and resulting datasets will underpin and support Ireland's climate change commitments such as the COP21 targets and the EU Directive on the Promotion of the Use of Renewable Energy (2009/28/EC, NREAP), whereby Ireland is committed to ensuring that 16% of the total energy consumed in heating, electricity and transport is generated from renewable resources by 2020.
This SEAI funded work has seen ICHEC nominated as a finalist for Best Contribution to Data Science from an Academic Research Body in the data Science Awards 2017.