Project

Maximum energy yield tracking for renewable energy systems to accommodate the variability of energy sources

Code

3G0D9316

Duration

01 January 2016 → 31 December 2019

Funding

Research Foundation - Flanders (FWO)

Promotor

Guillaume Crevecoeur

Research disciplines

Engineering and technology
- Control systems, robotics and automation not elsewhere classified
- Modelling not elsewhere classified
- Renewable power and energy systems engineering
- Control engineering
- Energy generation, conversion and storage engineering not elsewehere classified

Keywords

energy efficiency wind energy control renewable energy electrical energy electromechanical systems stochastic uncertainties optimization wave energy

Project description

Renewable energy systems are subject to the strong variability of their corresponding energy sources. Because current energy converters are insufficiently accommodated, they fail to yield optimal energy efficiency and economic reliability. Energy uptake will be optimized both numerically and experimentally by establishing variability-adapted systems that amongst others consider the interaction between the various electrical, mechanical and other physical domains.