With the appreciating of problems related to the environmental impact evaluation of human activities, wireless sensor networks (WSNs) are emerging as suitable monitoring systems for large geographical areas, fixing new challenges in many scientific areas such as computer science, wireless communication and energy harvesting. In recent years tubular permanent magnet linear generators (TPM-LiG) have been proposed in several marine applications as a well-suited technology for power generation such as power buoys. In this work an automated soft-computing approach is presented in order to provide an optimized electromagnetic model of TPM-LiG. A prototype of tubular generator was set up and measures provided, to a large extent, a first validation of the predictive model used in the proposed automated approach.

Automated TPM-LiG modeling for WSN subsystems in marine environment

PIRISI, ANDREA;MUSSETTA, MARCO;GRUOSSO, GIAMBATTISTA;ZICH, RICCARDO
2010-01-01

Abstract

With the appreciating of problems related to the environmental impact evaluation of human activities, wireless sensor networks (WSNs) are emerging as suitable monitoring systems for large geographical areas, fixing new challenges in many scientific areas such as computer science, wireless communication and energy harvesting. In recent years tubular permanent magnet linear generators (TPM-LiG) have been proposed in several marine applications as a well-suited technology for power generation such as power buoys. In this work an automated soft-computing approach is presented in order to provide an optimized electromagnetic model of TPM-LiG. A prototype of tubular generator was set up and measures provided, to a large extent, a first validation of the predictive model used in the proposed automated approach.
2010
Proceedings of the International Conference on Electromagnetics in Advanced Applications
9781424473663
sezele
File in questo prodotto:
File Dimensione Formato  
gruosso.pdf

Accesso riservato

: Post-Print (DRAFT o Author’s Accepted Manuscript-AAM)
Dimensione 996.52 kB
Formato Adobe PDF
996.52 kB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/574938
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact