Topic Editors

Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow G1 2TB, UK
Mechanical & Aerospace Engineering, University of Strathclyde, Glasgow G1 1XJ, UK
Dr. Adam Stock
School of Engineering & Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK

Control and Optimisation for Offshore Renewable Energy

Abstract submission deadline
31 August 2024
Manuscript submission deadline
31 October 2024
Viewed by
5047

Topic Information

Dear Colleagues,

Offshore renewable energy means the generation of electricity from ocean-based resources, which include wave energy, tidal energy, and offshore wind energy. Among the numerous sustainable energies, offshore renewable energy is playing a significant role which calls for optimum control and utilization.

We would like to invite submissions to this Topic on the subject of “Control and Optimisation for Offshore Renewable Energy”. Topics of interest include but are not limited to the following:

  • Offshore renewable energy;
  • Wind energy;
  • Wind farm;
  • Wind turbine;
  • Wave energy;
  • Wake modeling;
  • Numerical wave tank;
  • Tidal energy;
  • Wind, wave, and tidal devices;
  • Control;
  • Optimization.

Prof. Dr. Olimpo Anaya-Lara
Dr. Stephanie Ordonez-Sanchez
Dr. Adam Stock
Topic Editors

Keywords

  • wind energy
  • wave energy
  • tidal energy
  • offshore renewable energy

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Energies
energies
3.2 5.5 2008 16.1 Days CHF 2600 Submit
Journal of Marine Science and Engineering
jmse
2.9 3.7 2013 15.4 Days CHF 2600 Submit
Oceans
oceans
- - 2020 45.2 Days CHF 1600 Submit
Sustainability
sustainability
3.9 5.8 2009 18.8 Days CHF 2400 Submit
Water
water
3.4 5.5 2009 16.5 Days CHF 2600 Submit

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Published Papers (4 papers)

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22 pages, 10955 KiB  
Article
Power Generation Enhancement through Latching Control for a Sliding Magnet-Based Wave Energy Converter
by Yongseok Lee, HeonYong Kang and MooHyun Kim
J. Mar. Sci. Eng. 2024, 12(4), 656; https://doi.org/10.3390/jmse12040656 - 16 Apr 2024
Viewed by 582
Abstract
A Surface-Riding Wave Energy Converter (SR-WEC) featuring a sliding magnet inside a pitching cylindrical hull is investigated as an easily deployable small power device to support small-scale marine operations. This study extends the earlier development of the system by authors to enhance power [...] Read more.
A Surface-Riding Wave Energy Converter (SR-WEC) featuring a sliding magnet inside a pitching cylindrical hull is investigated as an easily deployable small power device to support small-scale marine operations. This study extends the earlier development of the system by authors to enhance power performance through the application of end spring and latching control. The inclusion of springs at the tube’s end enhances the magnet release and travel speeds as well as the average power output compared to systems without them. Further improvement of power output can also be achieved by employing optimal latching control. We introduced constant-angle and variable-angle unlatching strategies to determine optimal parameters in combination with passive and reactive power take-off (PTO) controls to assess their effectiveness. The optimized latching control and end spring can increase 60–80% more power output compared with the case without them under certain PTO damping. Additionally, we discussed the effects of limiting peak powers and associated energy leaks with latching. Full article
(This article belongs to the Topic Control and Optimisation for Offshore Renewable Energy)
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19 pages, 5003 KiB  
Article
Adaptation of Existing Vessels in Accordance with Decarbonization Requirements—Case Study—Mediterranean Port
by Bruna Bacalja Bašić, Maja Krčum and Anita Gudelj
J. Mar. Sci. Eng. 2023, 11(8), 1633; https://doi.org/10.3390/jmse11081633 - 21 Aug 2023
Viewed by 1236
Abstract
This research investigates the application of photovoltaic (PV) systems on ship retrofits with the aim of reducing the emission of harmful gases. By using renewable energy resources, this research presents the potential for reducing greenhouse gas (GHG) emissions and improving energy efficiency in [...] Read more.
This research investigates the application of photovoltaic (PV) systems on ship retrofits with the aim of reducing the emission of harmful gases. By using renewable energy resources, this research presents the potential for reducing greenhouse gas (GHG) emissions and improving energy efficiency in maritime operations, specifically within the Split coastal area. Overcoming the space restrictions on ships, an innovative design is presented to maximize the installation area for solar power. The research is conducted for several cases based on the IHOGA simulator, for all ship phases, and it aims to minimize fuel consumption by the diesel generators, thus emphasizing the use of renewable energy resources. A model with two operational modes is designed: Mode 1 allows surplus power to charge batteries or supply the port network, while Mode 2 covers power deficits from alternative sources. The implementation of renewables results in carbon dioxide (CO2) and nitrogen oxide (NOX) emission reductions. Furthermore, during the ship hotelling phase, the load is supplied entirely by batteries, resulting in zero emissions at the port. Full article
(This article belongs to the Topic Control and Optimisation for Offshore Renewable Energy)
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19 pages, 1111 KiB  
Article
Wind Farm Control for Improved Battery Lifetime in Green Hydrogen Systems without a Grid Connection
by Adam Stock, Matthew Cole, Mathieu Kervyn, Fulin Fan, James Ferguson, Anup Nambiar, Benjamin Pepper, Michael Smailes and David Campos-Gaona
Energies 2023, 16(13), 5181; https://doi.org/10.3390/en16135181 - 5 Jul 2023
Viewed by 1097
Abstract
Green hydrogen is likely to play an important role in meeting the net-zero targets of countries around the globe. One potential option for green hydrogen production is to run electrolysers directly from offshore wind turbines, with no grid connection and hence no expensive [...] Read more.
Green hydrogen is likely to play an important role in meeting the net-zero targets of countries around the globe. One potential option for green hydrogen production is to run electrolysers directly from offshore wind turbines, with no grid connection and hence no expensive cabling to shore. In this work, an innovative proof of concept of a wind farm control methodology designed to reduce variability in wind farm active power output is presented. Smoothing the power supplied by the wind farm to the battery reduces the size and number of battery charge cycles and helps to increase battery lifetime. This work quantifies the impact of the wind farm control method on battery lifetime for wind farms of 1, 4, 9 and 16 wind turbines using suitable wind farm, battery and electrolyser models. The work presented shows that wind farm control for smoothing wind farm power output could play a critical role in reducing the levelised cost of green hydrogen produced from wind farms with no grid connection by reducing the damaging load cycles on batteries in the system. Hence, this work paves the way for the design and testing of a full implementation of the wind farm controller. Full article
(This article belongs to the Topic Control and Optimisation for Offshore Renewable Energy)
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18 pages, 4069 KiB  
Article
Predictive Control of a Heaving Compensation System Based on Machine Learning Prediction Algorithm
by Lifen Hu, Ming Zhang, Zhi-Ming Yuan, Hongxia Zheng and Wenbin Lv
J. Mar. Sci. Eng. 2023, 11(4), 821; https://doi.org/10.3390/jmse11040821 - 12 Apr 2023
Cited by 2 | Viewed by 1568
Abstract
Floating structures have become a major part of offshore structure communities as offshore engineering moves from shallow waters to deeper ones. Floating installation ships or platforms are widely used in these engineering operations. Unexpected wave-induced motions affect floating structures, especially in harsh sea [...] Read more.
Floating structures have become a major part of offshore structure communities as offshore engineering moves from shallow waters to deeper ones. Floating installation ships or platforms are widely used in these engineering operations. Unexpected wave-induced motions affect floating structures, especially in harsh sea conditions. Horizontal motions on the sea surface can be offset by a dynamic positioning system, and heave motions can be controlled by a heave compensation system. Active heave compensation (AHC) systems are applied to control vertical heave motions and improve safety and efficiency. Predictive control based on machine learning prediction algorithms further improves the performance of active heave compensation control systems. This study proposes a predictive control strategy for an active heave compensation system with a machine learning prediction algorithm to minimise the heave motion of crane payload. A predictive active compensation model is presented to verify the proposed predictive control strategy, and proportion–integration–differentiation control with predictive control is adopted. The reliability of back propagation neural network (BPNN) and long short-term memory recurrent neural network (LSTM RNN) prediction algorithms is proven. The influence of the predictive error on compensation performance is analysed by comparing predictive feedforward cases with actual-data feedforward cases. Predictive feedforward control with regular and irregular wave conditions is discussed, and the possible strategies are examined. After implementing the proposed predictive control strategy based on a machine learning algorithm in an active heave compensation system, the heave motion of the payload is reduced considerably. This investigation is expected to contribute to the motion control strategy of floating structures. Full article
(This article belongs to the Topic Control and Optimisation for Offshore Renewable Energy)
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