Power take-off concept for wave energy converters based on oil-hydraulic transformer units

Gaspar, J.F.; Calvário, Miguel; Kamarlouei, Mojtaba; Soares, C. Guedes

doi:10.1016/j.renene.2015.09.035

Cited by 84 publications

(49 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based in genetic algorithm, Meng and Liu proposed a method called "Multi-agent genetic algorithm "to solve a multi-objective optimization problem, which test on some test function and find some compromise solution that distributed in the Pareto frontier uniformly with less mount of running time. Zhang and Liu proposed the multiobjective method of smooth homology [9][10][11][12]. Liu analyzed the convergence of the trace of particle and PSO method and proposed two improved single-objective PSO and two improved multi-objective PSO [13][14].…”

Section: Model and Algorithmmentioning

confidence: 99%

Study on Maritime Logistics Warehousing Center Model and Precision Marketing Strategy Optimization Based on Fuzzy Method and Neural Network Model

Xiao

2017

Polish Maritime Research

View full text Add to dashboard Cite

The bulk commodity, different with the retail goods, has a uniqueness in the location selection, the chosen of transportation program and the decision objectives. How to make optimal decisions in the facility location, requirement distribution, shipping methods and the route selection and establish an effective distribution system to reduce the cost has become a burning issue for the e-commerce logistics, which is worthy to be deeply and systematically solved. In this paper, Logistics warehousing center model and precision marketing strategy optimization based on fuzzy method and neural network model is proposed to solve this problem. In addition, we have designed principles of the fuzzy method

show abstract

Section: Model and Algorithmmentioning

confidence: 99%

Study on Maritime Logistics Warehousing Center Model and Precision Marketing Strategy Optimization Based on Fuzzy Method and Neural Network Model

Xiao

2017

Polish Maritime Research

View full text Add to dashboard Cite

show abstract

“…3, components 1, 7, 10 and 12) was developed in this research work with Adaptive Neuro Fuzzy Inference System or ANFIS [28,29]. This technique was already presented in a previous work when applied on an oil-hydraulic cylinder [10] while the model of the pump efficiency was made with an Artificial Neural Network (ANN). However, the ANN approach is slower than ANFIS and not suitable for real-time simulations in the HIL because of the computational time constraints.…”

Section: Pto Efficiency Modelsmentioning

confidence: 99%

“…Thus, the architecture of the hydraulic PTOs has evolved from initial concepts to solve technical problems such as rectification, stabilization and conversion of the oscillatory energy into others to improve the conversion efficiency for different sea states, and ultimately to more sophisticated ones to boost wave power extraction. A review of these concepts is presented by Gaspar et al [10], where a new PTO concept is also presented which is able to adapt to different types of WECs with reliable, standardized and scalable oilhydraulic technology.…”

Section: Introductionmentioning

confidence: 99%

“…In both cases the PTO efficiencies are achieved by controlling the rotational speed of the oil-hydraulic pumps however, and in particular in Gaspar et al [10], the technological limitations of speed control in a real case scenario are not considered. So, the objectives of this study were to know if PTO pump speed control strategies are implementable in a test rig, what modifications should be introduced in these strategies and PTO hardware, in particular, which components are more adequate to deal with the rotational accelerations demanded by these strategies.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Speed control of oil-hydraulic power take-off system for oscillating body type wave energy converters

et al. 2016

Self Cite

View full text Add to dashboard Cite

a b s t r a c tThe variable displacement oil-hydraulic pumps for the Power Take-Off (PTO) of wave energy converters must work above 80% of maximum displacement in order to have an overall efficiency of approximately 94.5%. This is achieved by controlling their rotational speed when the oil-hydraulic power fluctuates in time. Three speed control strategies have been presented, the first fixing the maximum possible speed in each sea state, the second by slowly varying the pump speed between speed peak values and average ones, and the third by working with highly variable speed reference values. The worst pump efficiency is achieved with the first strategy while the best one with the third strategy. However, the first has less impact than the third one in the pump lifecycle. On the other hand, the second strategy is used to make a trade-off between pump efficiency and lifecycle. However, this paper presents a fourth speed control strategy, which is a hybrid of the second and third strategies. So, the objectives of this paper were to know if these strategies are implementable in a test rig and also on a new PTO concept and determining what modifications should be introduced in these PTO strategies and hardware. This paper also contributes with the application of new methodologies in this field of research for the modelling of pump efficiency and pressure control, such as Neuro-Fuzzy modelling and Fuzzy Logic control systems.

show abstract

“…Usage of the hydraulic drive system to replace the traditional mechanical transmission system can reduce the energy fluctuation caused by the irregular change of front end input [7]. The ability to control the hydraulic oil as the transmission medium is greater than gear boxes and other mechanical transmission device because it is a flexible medium, which easily realizes the stepless speed change to ensure generators to maintain in the vicinity of the synchronous speed to further improve the stability of power system.…”

Section: Introductionmentioning

confidence: 99%

Experimental and Simulative Study on Accumulator Function in The Process of Wave Energy Conversion

Zhang

Liu

Luo

et al. 2016

Polish Maritime Research

View full text Add to dashboard Cite

show abstract

Power take-off concept for wave energy converters based on oil-hydraulic transformer units

Cited by 84 publications

References 19 publications

Study on Maritime Logistics Warehousing Center Model and Precision Marketing Strategy Optimization Based on Fuzzy Method and Neural Network Model

Study on Maritime Logistics Warehousing Center Model and Precision Marketing Strategy Optimization Based on Fuzzy Method and Neural Network Model

Speed control of oil-hydraulic power take-off system for oscillating body type wave energy converters

Experimental and Simulative Study on Accumulator Function in The Process of Wave Energy Conversion

Contact Info

Product

Resources

About