Anglia Ruskin University ARU Featured PhD Programmes
European Molecular Biology Laboratory (Heidelberg) Featured PhD Programmes

Integration of renewables into energy systems-forecasting model development and analysis

Department of Mechanical Engineering

About the Project

With the introduction of legal binding emission reduction targets, power systems across the world will have to be decarbonised to meet the targets. As such new energy technologies, such as renewables, are required to be deployed into energy systems. However, penetration of various renewables into electricity production systems raises a number of technical and economic challenges mainly due to the random and intermittent nature of renewables, such as wind and solar compared to fossil fuel based thermal power plants.

The aim of this research is to address challenges associated with integration of renewable energy systems into the power grid, considering technical, economical and regulatory aspects for a secure and reliable energy supply. Forecasting energy models are to be developed by applying different scenarios to predict the mid-term and long-term energy mix and share of renewables in energy production. The model will also be able to analyse the change of trends towards the use of coal-based and natural-gas based power plants and how they will compete with other energy production technologies in the future.

The outcome of the research will contribute in answering a broad range of research questions on energy management and renewables integration as well as be a good source of assistance to governments, industry owners and policy makers in making insightful decisions about application of different energy systems.

Funding Notes

1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline.

This project is available only for Self funded students.

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here

The information you submit to University of Sheffield will only be used by them or their data partners to deal with your enquiry, according to their privacy notice. For more information on how we use and store your data, please read our privacy statement.

* required field

Your enquiry has been emailed successfully

Search Suggestions

Search Suggestions

Based on your current searches we recommend the following search filters.

FindAPhD. Copyright 2005-2021
All rights reserved.