The Energy Technology and Climate Change Laboratory (ETCC), and the Centre for Sound, Vibration and Smart Structures (CVS3), are research-driven and industry-oriented research groups at the Faculty of Engineering, Ain Shams University (ASU) in Egypt. Both groups are running an exciting three-year applied research project in collaboration with the United States Massachusetts Institute of Technology (MIT), Mansoura and Aswan Universities in Egypt. As a result, A number of research vacancies exist for successful candidates who will be expected to make world-class scientific contributions addressing a number of high priority engineering problems pertaining to utility-scale wind power.
This project will develop artificial intelligence (AI)-based wind farm yield-maximization and decision support platform, which is useful for the deployment of wind energy in Egypt and the Middle East. MIT and ASU teams will build on the activities at ASU s Wind Engineering Centre and will develop a pre-commercial AI-enabled platform that will maximize the reliability and economic gain of Egypt s wind farms. This will be achieved by working on novel wind-and-turbine physics coupling; integrated pumped hydro reverse osmosis system (IPHROS) optimization; and efficient machine-learning control and prognosis algorithms. The solution developed by this project will be climate-relevant and aimed at regulators; planners; developers; and operators of wind farms.
PARTICULARS OF AVAILABLE ROLES
Research and postdoctoral positions are available for the three following themes addressing the fundamental research questions of the project:
• Active fluid flow control of wind turbines : How could advanced artificial intelligence (AI) technology produce more accurate, climate-relevant, wind farm wake models leading to more realistic wake loss factors, wind farm area requirements, infrastructure costs, and land topologies?
• Mechanical/Structural condition monitoring: How might active wake control affect the lifetime of wind turbines? And how can large and sparse amounts of turbines condition monitoring data be managed to predict effective and meaningful decisions about a wind farm s operational regime and maintenance schedules?
• Energy system modeling/design: Given wind intermittency, curtailment aspects, and environmental effects on wind turbines, how could energy storage systems together with cogeneration ideas -such as farm irrigation/water desalination- be designed to provide the best economic outcome to wind farm operators while ensuring grid stability?
GENERAL ROLE CRITERIA
• Salaried positions are tenable for three years on a full-time basis, at ASU, Cairo, Egypt. Monthly salaries will be determined based on the candidates experiences and the position they apply for (Research Assistants). Successful candidates will enjoy a collaborative work environment with research teams at the MIT, and access to state-of-the-art experimental and modeling tools.
• The position is open for national and international applicants. However, applicants for research assistants will need to enroll for an MSc or Ph.D. program at Ain Shams University to be able to receive financial compensation.
• The responsibilities include studying the relevant literature, defining the research problems based on the project descriptions, conducting independent research, regularly reporting progress and results, collaborating with other team members, and writing reports/papers of the research outcomes when appropriate.
• The ETCC and CVS3 groups have a solid track record of high-quality research and have regularly engaged in collaborative, and capacity building projects with funding from national and global funding bodies.
• Successful candidates will be eligible to spend a research semester at the MIT campus, Boston MA, in the United States of America.
• Successful candidates will be eligible to receive a full scholarship to earn an MITx MicroMasters in Energy. This MIT program will be offered in 2020/2021.
0 to 1 years
Not Specified at least
Energy and Utilities Engineering Services Research