Research output per year
Research output per year
Personal profile
Overview
My research interests encompass a diverse array of topics within the field of control systems and renewable energy. I specialize in optimal control theory, model predictive control, pseudo-spectral control, and wave prediction techniques, with applications to the development and optimization of offshore renewable energy systems.
My practical experience extends to conducting real-time control experiments and indoor wave basin tests. To date, I have actively contributed to two significant wave energy research projects:
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The Wave Energy Scotland Control Systems Project, funded by Wave Energy Scotland, UK.
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The System-level Co-design and Control of Large Capacity Wave Energy Converters with Multiple PTOs project, which is funded by the EPSRC, UK.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctor of Engineering, Queen Mary University of London
1 Oct 2017 → 1 Dec 2021
Award Date: 1 Dec 2021
Bachelor of Engineering, Politecnico Di Torino
1 Sept 2016 → 1 Jul 2017
Award Date: 1 Jul 2017
Bachelor of Engineering, Beijing Institute Of Technology
1 Sept 2013 → 1 Jul 2017
Award Date: 1 Jul 2017
Keywords
- Control Theory
- Model predictive control
- offshore renewable energy
- Wave energy
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Sea-State-Dependent Control Strategy for Wave Energy Converters: Power Limiting in Large Wave Conditions and Energy Maximising in Moderate Wave Conditions
Liao, Z., Zhang, X., Apsley, J., Iacchetti, M., Stansby, P. & Li, G., 5 Mar 2024, In: IEEE Transactions on Sustainable Energy. p. 1-11 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile24 Downloads (Pure) -
Model predictive control of a wave-to-wire wave energy converter system with non-linear dynamics and non-linear constraints using a tailored pseudo-spectral method
Liao, Z. & Li, G., 30 Sept 2024, In: Energy. 304, 132060.Research output: Contribution to journal › Article › peer-review
Open Access -
A Fast Model Predictive Control Framework for Multi-Float and Multi-Mode-Motion Wave Energy Converters
Zhan, S., Stansby, P., Liao, Z. & Li, G., 1 May 2023, In: IEEE Transactions on Control Systems Technology. 31, 3, p. 1443-1450 8 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Integrated hydrodynamic-electrical hardware model for wave energy conversion with M4 ocean demonstrator
Apsley, J., Zhang, X., Erazo Damian, I., Iacchetti, M., Liao, Z., Stansby, P., Li, G., Li, G., Wolgamot, H., Gaudin, C., Kurniawan, A., Zhang, X., Lin, Z., Fernando, W. U. N., Shearer, C. & Saunders, B., 2 Sept 2023, (E-pub ahead of print) 15th European Wave and Tidal Energy Conference - EWTEC.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile104 Downloads (Pure) -
Modelling and Control Tank Testing Validation for Attenuator Type Wave Energy Converter - Part I: Experiment Setup and Control-Oriented Modelling
Liao, Z., Sun, T., Al-Ani, M., Jordan, L. B., Li, G., Wang, Z., Belmont, M. & Edwards, C., 1 Jul 2023, In: IEEE Transactions on Sustainable Energy. 14, 3, p. 1747-1757 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile57 Downloads (Pure)