#POWER FROM THE SEA - The Sustainable Energy Authority of Ireland (SEAI) is teaming with IBM in a new project to assess the noise levels of wave energy devices off the Irish coast.

The scheme will see an array of noise sensing equipment such as hydrophones deployed in Galway Bay to monitor the noise levels of wave energy conversion devices in real time, as well as map patterns of marine life in the area.

According to AOL Energy, noise pollution at sea is a chief concern, having a disturbing effect on fish migrations among other marine ecosystems.

The west of Ireland will prove an important case study in this regard, as it hosts one of the world's largest wave energy infrastructures.

"Underwater noise is a global environmental issue that has to be addressed if we are going to take advantage of the huge potential of ocean energy," said EU Commissioner for Research, Innovation and Science, Maire Geoghegan-Quinn.

AOL Energy has more on the story HERE.

A new radar system in Galway could help predict extreme weather events more accurately, The Irish Times reports.

Scientists at NUI Galway's Ryan Institute, in collaboration with the IBM Smarter Cities Technology Centre in Dublin, have installed the system on the shoreline in Galway Bay.

The system - the first of its kind in North Atlantic Europe - consists of two antennae, on Mutton Island and Spiddal, which scan the surface of the bay every half hour.

It then sends high-resolutions maps of surface currents and details of wave height and direction directly to the scientists' base at the NUIG campus.

The data is used, along with meteorological data, to develop models for forecasing marine conditions from tidal currents to storm surges - common on the challenging coastline around Galway Bay and the Aran Islands.

Moreover, the system is set to benefit the local community and beyond as the data, when completed, will be made freely available.

Silicon Republic says that the Galway Bay Coastal Observing System (GalCOS) could be used by sailors, fishermen and tourists to more accurately assess conditions in the area.

It could also be of use to local authorities in terms of providing details on the best time to release effluent while minimising environmental damage.

“This type of predictive modelling is critical to our Smarter Cities agenda," said IBM's Dr Lisa Amini, "and the findings can be widely applied to protect coastal cities and their environments."