Dr Fergal O'Rourke

Senior Lecturer 1 (teaching)

Department of Electronic and Mechanical Engineering

North Building

| Room: NW225

[email protected]

+353 (0)42 9370200

Teaching

Bachelor of Engineering in Mechanical Engineering

Course type: Undergraduate

Study mode: Full-Time

Duration: 3 Years

Start date: Sep 2025

MSc in Renewable Energy Systems

Course type: Postgraduate

Study mode: Full-Time|Part-Time

Duration: 3 Semesters / 5 Semesters

Start date: Sep 2025

Bachelor of Engineering (Hons) in Mechanical Engineering

Course type: Undergraduate

Study mode: Full-Time

Duration: 4 Years

Start date: Sep 2025

Publications

The publications listed below represent my 10 most recent works as recorded on ORCiD

Energies
24 December 2024
DOI: 10.3390/en18010022
Type: Journal article

Energies
2 March 2024
DOI: 10.3390/en17051198
Type: Journal article

Journal of Cleaner Production
December 2021
DOI: 10.1016/j.jclepro.2021.129246
Type: Journal article

Proceedings of the International Conference on Sensing Technology, ICST
2019
Type: Conference paper

Sensors (Switzerland)
2019
Type: Journal article

Energy for Sustainable Development
2017
Type: Journal article

2017 28th Irish Signals and Systems Conference, ISSC 2017
2017
Type: Conference paper

Solar Energy
2015
Type: Journal article

Energy
2015
Type: Journal article

Energy Conversion and Management
November 2014
Type: Journal article

Dr Fergal O'Rourke

Teaching

Bachelor of Engineering in Mechanical Engineering

MSc in Renewable Energy Systems

Bachelor of Engineering (Hons) in Mechanical Engineering

Publications

Numerical Methodologies for the Analysis of Horizontal-Axis Floating Offshore Wind Turbines (F-HAWTs): A State-of-the-Art Review Numerical Methodologies for the Analysis of Horizontal-Axis Floating Offshore Wind Turbines (F-HAWTs): A State-of-the-Art Review

An Investigation of Tidal Stream Turbine Wake Development Using Modified BEM–AD Model An Investigation of Tidal Stream Turbine Wake Development Using Modified BEM–AD Model

Energy management optimisation using a combined Long Short-Term Memory recurrent neural network – Particle Swarm Optimisation model Energy management optimisation using a combined Long Short-Term Memory recurrent neural network – Particle Swarm Optimisation model

Home energy management system incorporating heat pump Home energy management system incorporating heat pump

Home energy management system incorporating heat pump using real measured data Home energy management system incorporating heat pump using real measured data

Performance characterisation of a commercial-scale wind turbine operating in an urban environment, using real data Performance characterisation of a commercial-scale wind turbine operating in an urban environment, using real data

Performance modelling of a small-scale wind and solar energy hybrid system Performance modelling of a small-scale wind and solar energy hybrid system

Experimental analysis of a scaled, multi-aperture, light-pipe, daylighting system Experimental analysis of a scaled, multi-aperture, light-pipe, daylighting system

Hydrodynamic performance prediction of a tidal current turbine operating in non-uniform inflow conditions Hydrodynamic performance prediction of a tidal current turbine operating in non-uniform inflow conditions

Ireland’s tidal energy resource; An assessment of a site in the Bulls Mouth and the Shannon Estuary using measured data Ireland’s tidal energy resource; An assessment of a site in the Bulls Mouth and the Shannon Estuary using measured data