Title :
Optimization of an energy harvesting buoy for coral reef monitoring
Author :
Pirisi, Andrea ; Grimaccia, F. ; Mussetta, M. ; Zich, Riccardo E. ; Johnstone, R. ; Palaniswami, Marimuthu ; Rajasegarar, Sutharshan
Author_Institution :
Dipt. di Energia, Politec. di Milano, Milan, Italy
Abstract :
The sustainable management of coastal and offshore ecosystems, such as for example coral reef environments, requires an energy efficient collection of accurate data across various temporal and spatial scales. To suitably address the energy supply of marine sensors, in this paper a novel energy harvesting device is proposed, based on a Tubular Permanent MagnetLinear Generator (TPM-LiG). The application is related to the sea wave energy conversion for small sensorized buoy. The optimization process is developed by means of evolutionary computation techniques. The advantage of these algorithms is in the wide exploration of the variables space and in the effective exploitation of the fitness function. The algorithm has been tested on a benchmark case and then applied to the optimization of a power-buoy prototype which has been realized in laboratory with potential significant implications in future marine environment applications.
Keywords :
ecology; evolutionary computation; ocean waves; oceanographic equipment; optimisation; Tubular Permanent Magnet-Linear Generator; coastal ecosystem; coral reef environments; coral reef monitoring; energy efficient collection; energy harvesting buoy; energy supply; evolutionary computation techniques; fitness function; future marine environment applications; marine sensors; novel energy harvesting device; offshore ecosystem; optimization process; power-buoy prototype; sea wave energy conversion; small sensorized buoy; spatial scales; sustainable management; temporal scales; Evolutionary computation; Generators; Genetic algorithms; Optimization; Permanent magnets; Sea measurements; Stator windings; WSN; hybrid evolutionary algorithm; optimization; power buoy; tubular linear generator; wave energy;
Conference_Titel :
Evolutionary Computation (CEC), 2013 IEEE Congress on
Conference_Location :
Cancun
Print_ISBN :
978-1-4799-0453-2
Electronic_ISBN :
978-1-4799-0452-5
DOI :
10.1109/CEC.2013.6557627