Event Title

Wind Power Prediction and Early Downtime Detection for Ireland

Presenter Information

Vikram Pakrashi, Dynamical Systems and Risk Laboratory, School of Mechanical and Materials Engineering, University College Dublin
Basuraj Bhowmik, Dynamical Systems and Risk Laboratory, School of Mechanical and Materials Engineering, University College Dublin
Juan Manuel González-Sopeña, QUANT Group, Department of Civil, Structural and Environmental Engineering, Trinity College Dublin,
Paul Mucchielli, QUANT Group, Department of Civil, Structural and Environmental Engineering, Trinity College Dublin,
Bidisha Ghosh, QUANT Group, Department of Civil, Structural and Environmental Engineering, Trinity College Dublin,

Location

Cork Institute of Technology, Cork, Ireland

Event Website

https://event.ceri2020.exordo.com/

Start Date

27-8-2020 10:30 AM

End Date

27-8-2020 11:45 AM

Description

Wind energy must be commercially competitive to be economically sustainable. Existing wind farms in Ireland must be more efficient to meet the 2009 EU Renewable Energy Directive target of 7% of total energy demand from onshore wind energy farms, which is 45% of the total national renewable energy target of 16%. WindPearl - a Sustainable EnergyAuthority of Ireland (SEAI) funded project is currently looking into improvin operations & maintenance (O&M) of onshore wind turbine farms in Ireland.

Recommended Citation

Pakrashi, Vikram; Bhowmik, Basuraj; González-Sopeña, Juan Manuel; Mucchielli, Paul; and Ghosh, Bidisha, "Wind Power Prediction and Early Downtime Detection for Ireland" (2020). Civil Engineering Research in Ireland 2020. 2.
https://sword.cit.ie/ceri/2020/12/2