PhD Researcher: Optimizing Offshore Wind-Hydrogen Designs

6 days ago


Edinburgh, Edinburgh, United Kingdom University of Nottingham Full time
Project Overview

The proposed project aims to develop a comprehensive mathematical modeling framework to assess and optimize offshore wind-hydrogen system (OWHS) designs, operation regimes, operation and maintenance strategies, and end-of-life strategies. The goal is to create a safe, environmentally friendly, and highly economical energy system.

Background

The increasing frequency of natural disasters and climate change highlights the need for sustainable energy solutions. Offshore wind has been identified as a key component of the UK's energy mix, but its intermittent nature poses challenges. Energy storage technologies, such as green hydrogen produced by electrolysis using renewable energy, are critical for exploiting renewable resources. However, ensuring the safety and minimizing environmental impact of wind-generated green hydrogen production, storage, and transportation is a pressing issue.

Research Objectives
  • To develop a simulation and analysis framework for innovative OWHS designs, novel O&M strategies, and potential end-of-life strategies.
  • To assess and optimize the safety, environmental, and economic aspects of future OWHSs.
  • To provide a comprehensive tool for the deployment of future offshore wind farms and hydrogen production, storage, and transportation systems.
Methodology

The research will involve simulation and analysis of OWHS designs, operation regimes, and operation and maintenance strategies. The proposed methodology will consider various factors, including marine environment, governmental guidance and regulations, operating conditions, production needs, location restrictions, wildlife habitats, sea fishing areas, residential living areas, and other critical factors.

Expected Outcomes

The project is expected to provide key knowledge for the deployment of future OWFS and HPSTSs, and the integration of HPSTSs into currently existing offshore wind farms. The outcomes will include a comprehensive mathematical modeling framework, a set of optimized OWHS designs, and a tool for assessing and optimizing the safety, environmental, and economic aspects of future OWHSs.

Requirements

The successful candidate will have a 1st class degree in engineering, computer science, maths, or a relevant discipline, at integrated Master's level or with a relevant MSc. The candidate should be an enthusiastic graduate with a strong academic background and a passion for research.



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