APPLY for UCD Dublin Scholarship Application 2023

Apply for UCD Dublin Scholarship Application 2023 below.

The School of Mathematics and Statistics at UCD in Dublin, Ireland, has a fully funded 4-year Ph.D. job in “Probabilistic Seasonal Forecasting and Climate Projections for Wind and Solar Energy.”

Please email your application to conor.sweeney@ucd.ie as a pdf file together with your curriculum vitae, motivation letter, official transcripts or diplomas, and the names of two academic references.

AIM OF THE PROJECT

The goal of this doctoral dissertation is to advance our knowledge of renewable energy sources (RES, wind, and solar) in Ireland across two timescales: projecting RES generation from hours to months in the future, and researching previous and present climates to measure anticipated changes in RES generation.

By cutting down on greenhouse gas emissions, decarbonizing the energy system will help lessen the effects of climate change. To deal with the technical and social problems of decarbonization, which are likely to last past the middle of the 21st century, society as a whole will need to come up with a plan. This plan will need to include academia, business, the government, and the general public.

The transition to a net zero carbon energy system is the main goal of the newly established All Island SFI Strategic Partnership Programme called NexSys. It is a special collaboration that brings together policymakers, industry, and multidisciplinary researchers to address basic scientific concerns related to the move to net Zero.

NexSys, which is hosted by the UCD Energy Institute, brings together academics from nine institutions on the island of Ireland (UCD, TCD, DCU, ESRI, Maynooth University, UCC, NUI Galway, Ulster University, and Queen’s University Belfast) to collaborate in order to tackle the challenges associated with the energy transition, which are of an unprecedented scale and complexity.

Getting RES to work well enough to make electricity is one of the biggest problems with the transition to decarbonization. This Ph.D. project will combine numerical weather prediction and climate modeling with historical data and new-generation satellite data in order to come up with new ways to predict the weather and build energy-climate datasets. There are two timelines that interest us.

During the first round of forecasting, experts try to make new, “seamless,” probabilistic RES forecasts with a time horizon of anywhere from hours to months.

With the help of historical system data and ensembles of recent atmospheric model data from models like MERA, ERAS, and ICHEC-CMIP6, the second project, dubbed “climate projections,” will create high spatial (1 km) and temporal (hourly) resolution RES data for onshore wind, offshore wind, and PV from 2000 to 2050.

These RES data will be used to look into the security of production and supply for different climate scenarios and proposed RES infrastructure.