Internship: Demand response potentials of energy-intensive processes
Background
IEK-10 focuses on the optimal design and operation of integrated, decentralized energy systems with a high share of renewable energy. Computer simulation and numerical optimization are our essential tools to arrive at efficient, reliable, and cost-effective solutions. We contribute both to the development of mathematical models and to the development of improved optimization algorithms, tailored to specific problems related to energy systems. Our methods and software-tools are validated against operating data of real systems. Furthermore, we conduct comprehensive case studies to test and further improve the scalability and the performance of our models and algorithms.
Context and Assignment
An increased share of renewable electricity production challenges the grid with its volatility and causes imbalances of electricity supply and demand. This imbalance leads to time-varying electricity prices on electricity markets. Thus, if flexible power-intensive processes shift their demand to times of higher renewable electricity production they can stabilize the grid as well as profit economically. Similarly, flexible energy-intensive processes consuming thermal energy can shift their production in cooperation with a local multi-energy supply system. This demand response (DR) can reduce electricity procurement cost typically by overproduction during low-priced times and underproduction during high-priced hours. To perform DR optimally, consumers can optimize their energy demand with a model containing the scheduling-relevant process characteristics, such as ramping limits, utilization rates, or nonlinear dynamics. The IEK-10 develops optimization problem formulations tailored to DR that allow to optimize complex process models sufficiently fast enough for real-time application.
In this internship, different energy-intensive processes will be assessed and suitable dynamic models are collected from literature. A diverse set of scheduling-relevant process characteristics will be examined. Based on the examination, the demand response potential should be estimated. One or more of the especially promising processes should be implemented and optimized.
Your profile
- You are a bachelor/master student with very good background in Energy- or Process Systems Engineering, Mechanical Engineering, Computational Engineering Sciences, Simulation Sciences, or similar
- Experience in optimization methods
- Programming experience (preferably in Python)
- Ability to work independently
- Good English skills (spoken and written)
- Interest in energy systems and scheduling optimization
Our offer
- 3 months internship (time span can be adapted)
- Deep insight into demand response and demand side management
- Broad insight into energy systems / energy-intensive processes
- A friendly and welcoming work environment
- Highly motivated scientists of different subject areas working together
Due to the SARS-CoV-2 regulations, work is currently done in the home office. We are committed to equality and diversity and welcome applications from everyone! If you are interested, please send us your complete application.
Contact:
Sonja Germscheid
Forschungszentrum Jülich GmbH
Institute of Energy and Climate Research
Energy Systems Engineering (IEK-10)
52425 Jülich
Email: s.germscheid@fz-juelich.de
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