ORCID Profile
0000-0002-3418-398X
Current Organisation
University of Adelaide
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Interdisciplinary Engineering | Dynamical systems in applications | Electrical energy generation (incl. renewables excl. photovoltaics) | Interdisciplinary Engineering not elsewhere classified | Electrical engineering | Ocean engineering | Non-automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels)
Energy Storage, Distribution and Supply not elsewhere classified | Solar-Thermal Energy | First Stage Treatment of Ores and Minerals not elsewhere classified |
Publisher: ACM
Date: 25-06-2020
Publisher: ACM
Date: 20-07-2016
Publisher: Elsevier BV
Date: 10-2022
Publisher: Elsevier BV
Date: 2019
Publisher: Elsevier BV
Date: 11-2020
Publisher: Elsevier BV
Date: 07-2022
Publisher: Springer Science and Business Media LLC
Date: 18-09-2022
Publisher: Springer International Publishing
Date: 2018
Publisher: Elsevier BV
Date: 10-2021
Publisher: Springer Science and Business Media LLC
Date: 02-07-2021
Publisher: Elsevier BV
Date: 2022
Publisher: American Society of Mechanical Engineers
Date: 21-06-2021
Abstract: The potential for coupling a cylindrical point absorber type wave energy converter (WEC) to a 5MW spar type floating offshore wind turbine is investigated. The wind and WEC system is modelled in the frequency domain and in two dimensions under the simplifying assumption that wind and waves propagate in the same direction. Coupling of the bodies is considered with respect to all theoretical combinations that might be achieved rather than a single specific design. Results are analysed with respect to the maximum power that the WEC coupling can achieve. It is shown that for mild waves the WEC can theoretically produce power in the range of 0.2 to 0.6 MW, its optimal dimensions are such that the draft and radius are approximately 18.8 m, and that obtaining this power tends to marginally lify the pitch of the spar.
Publisher: MDPI AG
Date: 20-10-2020
DOI: 10.3390/EN13205498
Abstract: To advance commercialisation of ocean wave energy and for the technology to become competitive with other sources of renewable energy, the cost of wave energy harvesting should be significantly reduced. The Mediterranean Sea is a region with a relatively low wave energy potential, but due to the absence of extreme waves, can be considered at the initial stage of the prototype development as a proof of concept. In this study, we focus on the optimisation of a multi-mode wave energy converter inspired by the CETO system to be tested in the west of Sicily, Italy. We develop a computationally efficient spectral-domain model that fully captures the nonlinear dynamics of a wave energy converter (WEC). We consider two different objective functions for the purpose of optimising a WEC: (1) maximise the annual average power output (with no concern for WEC cost), and (2) minimise the levelised cost of energy (LCoE). We develop a new bi-level optimisation framework to simultaneously optimise the WEC geometry, tether angles and power take-off (PTO) parameters. In the upper-level of this bi-level process, all WEC parameters are optimised using a state-of-the-art self-adaptive differential evolution method as a global optimisation technique. At the lower-level, we apply a local downhill search method to optimise the geometry and tether angles settings in two independent steps. We evaluate and compare the performance of the new bi-level optimisation framework with seven well-known evolutionary and swarm optimisation methods using the same computational budget. The simulation results demonstrate that the bi-level method converges faster than other methods to a better configuration in terms of both absorbed power and the levelised cost of energy. The optimisation results confirm that if we focus on minimising the produced energy cost at the given location, the best-found WEC dimension is that of a small WEC with a radius of 5 m and height of 2 m.
Publisher: ACM
Date: 13-07-2019
Publisher: MDPI AG
Date: 05-11-2021
DOI: 10.3390/EN14217385
Abstract: With recent advances in offshore floating wind and wave energy technology, questions have emerged as to whether the two technologies can be combined to reduce their overall levelised cost of energy. In this paper, the potential for combining a floating offshore wind turbine to a point absorbing wave energy converter is investigated. The focus of the investigation is how much power might be produced by a combined floating wind and wave energy converter system, and the resultant changes in motion of the floating wind platform. A model for the combined wave and wind system is developed which uses the standardised NREL OC3 5 MW spar type wind turbine and a cylindrical buoyant actuator (BA), which is attached to the spar via a generic wave power take-off system (modelled as a spring-d er system). Modelling is conducted in the frequency domain and the tests span a wide range of parameters, such as wave conditions, BA sizes, and power take-off coupling arrangements. It is found that the optimal (with respect to power production) BA size is a draft and radius of approximately 14 m. It is found that this BA can theoretically produce power in the range of 0.3 to 0.5 MW for waves with a significant wave height of 2 m, and has the potential to produce power greater or near to 1 MW for waves with a significant wave height of at least 3 m. However, it is also found that, in terms of the relative capture width, significantly smaller BAs are optimal, and that these smaller BA sizes less significantly alter the motion of the floating wind platform.
Publisher: Springer Science and Business Media LLC
Date: 05-2020
Publisher: AIP Publishing
Date: 09-2023
DOI: 10.1063/5.0165334
Publisher: Elsevier BV
Date: 10-2020
Publisher: Elsevier BV
Date: 06-2022
Publisher: MDPI AG
Date: 22-06-2021
DOI: 10.3390/EN14133737
Abstract: Ocean renewable wave power is one of the more encouraging inexhaustible energy sources, with the potential to be exploited for nearly 337 GW worldwide. However, compared with other sources of renewables, wave energy technologies have not been fully developed, and the produced energy price is not as competitive as that of wind or solar renewable technologies. In order to commercialise ocean wave technologies, a wide range of optimisation methodologies have been proposed in the last decade. However, evaluations and comparisons of the performance of state-of-the-art bio-inspired optimisation algorithms have not been contemplated for wave energy converters’ optimisation. In this work, we conduct a comprehensive investigation, evaluation and comparison of the optimisation of the geometry, tether angles and power take-off (PTO) settings of a wave energy converter (WEC) using bio-inspired swarm-evolutionary optimisation algorithms based on a s le wave regime at a site in the Mediterranean Sea, in the west of Sicily, Italy. An improved version of a recent optimisation algorithm, called the Moth–Flame Optimiser (MFO), is also proposed for this application area. The results demonstrated that the proposed MFO can outperform other optimisation methods in maximising the total power harnessed from a WEC.
Publisher: American Astronomical Society
Date: 20-12-2011
Publisher: CRC Press
Date: 19-07-2022
Publisher: Elsevier BV
Date: 09-2021
Publisher: Elsevier BV
Date: 06-2022
Publisher: Elsevier BV
Date: 10-2022
Publisher: Elsevier BV
Date: 10-2023
Publisher: Elsevier BV
Date: 07-2019
Publisher: Elsevier BV
Date: 02-2022
Publisher: Elsevier BV
Date: 12-2023
Publisher: Elsevier BV
Date: 10-2022
Publisher: Elsevier BV
Date: 02-2018
Publisher: Elsevier BV
Date: 12-2021
Publisher: Elsevier BV
Date: 08-2016
Publisher: Institution of Engineering and Technology (IET)
Date: 21-07-2021
DOI: 10.1049/RPG2.12252
Publisher: Elsevier BV
Date: 12-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2022
Publisher: Elsevier BV
Date: 2024
Publisher: Springer International Publishing
Date: 2016
Publisher: Elsevier BV
Date: 11-2022
Publisher: Institution of Engineering and Technology (IET)
Date: 06-07-2021
DOI: 10.1049/RPG2.12239
Publisher: American Society of Mechanical Engineers
Date: 03-08-2020
Abstract: Wave energy devices operate in resonant conditions to optimize power absorption, which leads to large displacements. As a result, nonlinearities play an important role in the system dynamics and must be accounted for in the numerical models for realistic prediction of the power generated. In general, time domain (TD) simulations are employed to capture the effects of the nonlinearities. However, the computational cost associated with these simulations is considerably higher compared to linear frequency domain (FD) methods. In this regard, the following work deals with the nonlinear analysis of an oscillating wave surge converter (OWSC) in the FD via the statistical linearization (SL) technique. Four nonlinearities for the proposed device are addressed: Coulomb-like torque regulated by the direction of motion, viscous drag torque, nonlinear buoyant net torque, and parametric excitation torque modulated by the flap angle. The reliability of the SL technique is compared with nonlinear TD simulations in terms of response probability distribution and power spectrum density (PSD) of the response and torque and mean power produced. The results have demonstrated a good agreement between TD simulations and SL, while the computation time of the SL model is approximately 3 orders of magnitude faster. As a result, SL is a valuable tool to assess the OWSC performance under various wave scenarios over a range of design parameters, and can assist the development of such wave energy converters (WECs).
Publisher: CRC Press
Date: 19-07-2022
Publisher: Elsevier BV
Date: 10-2019
Publisher: Elsevier BV
Date: 08-2017
Publisher: Elsevier BV
Date: 02-2020
Publisher: Elsevier BV
Date: 02-2023
Publisher: CRC Press
Date: 19-07-2022
Start Date: 07-2023
End Date: 06-2026
Amount: $448,887.00
Funder: Australian Research Council
View Funded ActivityStart Date: 07-2020
End Date: 02-2022
Amount: $760,000.00
Funder: Australian Research Council
View Funded Activity