Ringwood, John and Zhan, Siyuan and Faedo, Nicolás
(2023)
Empowering wave energy with control technology: Possibilities and pitfalls.
Annual Reviews in Control, 55.
pp. 18-44.
ISSN 1367-5788
Abstract
With an increasing focus on climate action and energy security, an appropriate mix of renewable energy
technologies is imperative. Despite having considerable global potential, wave energy has still not reached a
state of maturity or economic competitiveness to have made an impact. Challenges include the high capital
and operational costs associated with deployment in the harsh ocean environment, so it is imperative that the
full energy harnessing capacity of wave energy devices, and arrays of devices in farms, is realised. To this end,
control technology has an important role to play in maximising power capture, while ensuring that physical
system constraints are respected, and control actions do not adversely affect device lifetime. Within the gamut
of control technology, a variety of tools can be brought to bear on the wave energy control problem, including
various control strategies (optimal, robust, nonlinear, etc.), data-based model identification, estimation, and
forecasting. However, the wave energy problem displays a number of unique features which challenge the
traditional application of these techniques, while also presenting a number of control ‘paradoxes’. This review
articulates the important control-related characteristics of the wave energy control problem, provides a survey
of currently applied control and control-related techniques, and gives some perspectives on the outstanding
challenges and future possibilities. The emerging area of control co-design, which is especially relevant to the
relatively immature area of wave energy system design, is also covered.
| Item Type: |
Article
|
| Keywords: |
Wave energy conversion;
Wave energy control;
Control system design;
Estimation;
Forecasting; |
| Academic Unit: |
Faculty of Science and Engineering > Electronic Engineering |
| Item ID: |
18954 |
| Identification Number: |
https://doi.org/10.1016/j.arcontrol.2023.04.004 |
| Depositing User: |
Professor John Ringwood
|
| Date Deposited: |
01 Oct 2024 11:48 |
| Journal or Publication Title: |
Annual Reviews in Control |
| Publisher: |
Elsevier |
| Refereed: |
Yes |
| URI: |
|
| Use Licence: |
This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available
here |
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