Revenue optimization for the Ocean Grazer wave energy converter through storage utilization

Dijkstra, H.T.; Berglind, J.J. Barradas; Meijer, Harmen; Rooij, Marijn van; Prins, W.; Vakis, Antonis I.; Jayawardhana, Bayu

doi:10.1201/9781315229256-26

Cited by 3 publications

(10 citation statements)

References 22 publications

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“…More precisely, we consider the lumped net-flow model we used in [7], which acts as a fluid capacitor, described by the following differential equation:…”

Section: Wec Operating Principle and Lumped Dynamical Modelmentioning

confidence: 99%

“…that depends on the minimum head h min and the pumping rate Q p, k ; the details can be found in [7]. The proposed MPC strategy for revenue maximisation is presented in Algorithm 1 (see Fig.…”

Section: Revenue Maximising Mpc Strategymentioning

confidence: 99%

“…• Cascaded control architecture: The revenue maximisation strategy that we introduced in [7] and evaluated in this paper aims to decide when electricity should be produced in order to attain the maximum revenue. Thus, this strategy works in a supervisory or higher level, which should interact with the local controllers for the turbine and pumping subsystems.…”

Section: Further Challengesmentioning

confidence: 99%

“…This strategy exploited the storage properties of the OG-WEC and integrated the device to the market by releasing fluid through the turbine subsystem at suitable times. Even though these properties were illustrated, there were a few caveats in the analysis performed in [7], i.e. (i) the strategy was only demonstrated for a short period of time in the range of a few days; (ii) the sensitivities to the model parameters were not investigated; (iii) the implementation of the control strategy assumed perfect knowledge of the plant, the electricity price and the wave data, namely the model predictive control (MPC) performed the best possible predictions; and (iv) the state constraints were not included explicitly in the MPC strategy.…”

Section: Introductionmentioning

confidence: 99%

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Revenue maximisation and storage utilisation for the Ocean Grazer wave energy converter: a sensitivity analysis

Barradas-Berglind

Dijkstra

Wei

et al. 2018

IET Renewable Power Generation

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This study presents a revenue maximisation strategy for market integration of a novel wave energy converter (WEC), part of the Ocean Grazer platform. In particular, the authors evaluate and validate the aforementioned revenue maximisation model predictive control (MPC) strategy through extensive simulations and by checking the underlying assumptions of the strategy implementation. Accordingly, an annual simulation of the MPC strategy is shown, which illustrates seasonality effects; furthermore, a benchmark against a heuristic strategy is presented, followed by analyses of the parameter sensitivity and the assumptions on the control loop information that the MPC receives. These efforts shed some light on the impact of variations of the considered parameters and variables on the total revenue and provide insights to optimally scale the WEC. Lastly, the challenges associated with the deployment of such a strategy are addressed, followed by concluding remarks.

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“…More precisely, we consider the lumped net-flow model we used in [7], which acts as a fluid capacitor, described by the following differential equation:…”

Section: Wec Operating Principle and Lumped Dynamical Modelmentioning

confidence: 99%

Section: Revenue Maximising Mpc Strategymentioning

confidence: 99%

Section: Further Challengesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Revenue maximisation and storage utilisation for the Ocean Grazer wave energy converter: a sensitivity analysis

Barradas-Berglind

Dijkstra

Wei

et al. 2018

IET Renewable Power Generation

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“…In (BarradasBerglind et al, 2016), preliminary results on the energy capture of an array of point-absorbers were shown, together with a model predictive control strategy to maximize the energy extraction of the OG-WEC. In (Dijkstra et al, 2016), a revenue maximization strategy was designed, leaning on a lumped net flow dynamical model.…”

Section: Introductionmentioning

confidence: 99%

Towards Ocean Grazer’s Modular Power Take-Off System Modeling:a Port-Hamiltonian Approach

et al. 2017

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Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum. Abstract: This paper presents a modular modeling framework for the Ocean Grazer's Power Take-Off (PTO) system, which operates as an array of point-absorber type devices connected to a hydraulic system. The modeling is based on the port-Hamiltonian (PH) framework that enables energy-based analysis and control of the PTO system. Firstly, a modular model of a pointabsorber hydraulic system, which represents the main building block of the PTO, is presented. The model consists of wave-mechanical and hydraulic subsystems that are interconnected with a transformer-type interconnection. Secondly, we show passivity of the point-absorber hydraulic element and the accumulation of potential energy, which is due to the novel pumping mechanism of the point-absorber. Finally, we illustrate these properties through simulation results.

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Investigating the adaptability of the multi-pump multi-piston power take-off system for a novel wave energy converter

et al. 2017

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In this work, a numerical model is developed in order to investigate the adaptability of the multi-pump multi-piston power take-off (MP 2 PTO) system of a novel wave energy converter (WEC). This model is realized in the MATLAB/SIMULINK environment, using the multi-body dynamics solver Multibody TM , which is based on the open-source tool WEC-Sim. Furthermore, the hydrodynamic coefficients are calculated using the open-source code NEMOH. After providing the description of the model, it is validated against experimental results and an analytical model, showing good agreement with both. Subsequently, simulations for a single floater device with a multi-piston pump (MPP) unit using our numerical model are carried out to demonstrate the adaptability of the WEC. In addition, the results demonstrate that the MPP with a simple control strategy can extract more energy than any non-adaptable piston pump under various sea states. Finally, a floater blanket (an array of interconnected floaters) model is developed to shed some light on the hydrodynamic response and the performance of MPPs. The developed numerical model will be used in the future to optimize the MP 2 PTO configuration, and to develop an energy maximization control strategy for the MP 2 PTO system.

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Revenue optimization for the Ocean Grazer wave energy converter through storage utilization

Cited by 3 publications

References 22 publications

Revenue maximisation and storage utilisation for the Ocean Grazer wave energy converter: a sensitivity analysis

Revenue maximisation and storage utilisation for the Ocean Grazer wave energy converter: a sensitivity analysis

Towards Ocean Grazer’s Modular Power Take-Off System Modeling:a Port-Hamiltonian Approach

Investigating the adaptability of the multi-pump multi-piston power take-off system for a novel wave energy converter

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