Evaluation of Small Modular Wind Energy Conversion System

Christos S. Ioakimidis, Fivos Galatoulas, Robert R. Porter

2018

Abstract

A probabilistic method based on the Weibull distribution for predicting the economic performance and reliability of small autonomous wind energy conversion (WEC) systems is described. These systems contain WARP (Wind Amplified Rotor Platform), an adaptable design of wind generator, along with the WARP-GT (generation-transmission) system which combines both electricity generation through wind energy conversion and electric power transmission. Furthermore, this work explores the use of pumped-storage, aiming to firm up the intermittent nature of the system. Results of this prediction are applied in the cost estimation of an investment from the private owner view. The cost estimation is based on a power law ratio for industrial equipment. Results are presented for two case studies located in Greek islands.

Paper Citation

in Harvard Style

Ioakimidis C., Galatoulas F. and Porter R. (2018). Evaluation of Small Modular Wind Energy Conversion System.In Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-292-9, pages 278-285. DOI: 10.5220/0006774502780285

in Bibtex Style

@conference{smartgreens18,
author={Christos S. Ioakimidis and Fivos Galatoulas and Robert R. Porter},
title={Evaluation of Small Modular Wind Energy Conversion System},
booktitle={Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2018},
pages={278-285},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006774502780285},
isbn={978-989-758-292-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Evaluation of Small Modular Wind Energy Conversion System
SN - 978-989-758-292-9
AU - Ioakimidis C.
AU - Galatoulas F.
AU - Porter R.
PY - 2018
SP - 278
EP - 285
DO - 10.5220/0006774502780285