Tag Archives: nature based optimization

Research Idea : Maximization of Conversion Efficiency of Attenuator type Wave Energy Converters by Nature Based Optimization Techniques

Wave Energy Converters are utilized to generate electrical energy from ocean wave energy. But due to the low efficiency and high cost such type of power plants are utilized for energy production in very few areas of the World. The conversion potential depend on wave height,period and depth of ocean.Higher the parameters higher will be the potential.However due to the absence of efficient and inexpensive converters,wide scale implementation of wave energy based power plants are not observed.This present idea attempt to optimize the efficiency of Attenuator type Wave Energy Converters and minimize the cost to produce an optimal configuration which will have high conversion efficiency within minimum cost.In this aspect the different nature based optimization techniques like Particle Swarm Optimization,Generic Algorithm or Polynomial Neural Networks etc. can be applied simultaneously to identify the best result from the techniques.Download the link below for the complete idea :

attenuator_efficiency_optimization

An example of Attenuator type wave energy converter : Pelamis

Wave Energy Converter Tutorial:

Types of Wave Energy Device

A Review of Wave Energy Converter Technology

Books on Wave Energy Converter Technologies

Handbook of Ocean Wave Energy

Editors : Arthur PecherJens and Peter Kofoed; Publisher : Springer; Year of Publication : 2017

Ocean Wave Energy Conversion : 1st Edition

Author : Aurelien Babarit; Publisher : Elsevier; Year of Publication : 2017

Coming Soon : Tutorial on Particle Swarm Optimization and Genetic Algorithm

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Thanks,

Mrinmoy Majumder, Founder-Author, Find me in Research GateLinked In.  Subscribe to the newsletter.

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Citation : Majumder,M,Research Idea : Maximization of Conversion Efficiency of Attenuator type Wave Energy Converters by Nature Based Optimization Techniques,Baipatra,Retrieved from http://baipatra.ws/?p=100&preview=true on 06/11/2018.