Konferensartikel

Site Matching Of Offshore Wind Turbines - A Case Study

Pravin B. Dangar
Department of Electrical Engineering, Dr Babasaheb Ambedkar Technological University, Lonere,Raigad, Maharashtra, India

Santosh H. Kaware
Department of Electrical Engineering, Dr Babasaheb Ambedkar Technological University, Lonere,Raigad, Maharashtra, India

P. K. Katti
Department of Electrical Engineering, Dr Babasaheb Ambedkar Technological University, Lonere,Raigad, Maharashtra, India

Ladda ner artikelhttp://dx.doi.org/10.3384/ecp110574098

Ingår i: World Renewable Energy Congress - Sweden; 8-13 May; 2011; Linköping; Sweden

Linköping Electronic Conference Proceedings 57:7, s. 4098-4105

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Publicerad: 2011-11-03

ISBN: 978-91-7393-070-3

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

The stress on demand and supply gap of electricity has lead the globe to face acute problems. Further use of fossil fuel based energies for improved life and development have lead to adverse environmental effects; like climate change. Offshore wind farms have great potential as sustainable energy source. This accentuates to focus attention on technical issues such as selection; requirements; characteristics and power production from wind turbine. This paper presents a methodology developed for selection of optimum windmill for a specific site based on capacity factor approach by proper analysis of wind data. Offshore wind data for the purpose is obtained from; INCOIS Hyderabad- India for a particular site under proposal in India. The wind data is used to generate mean wind speeds for a typical day in a month by using MATLAB program. The windmill with the highest average capacity factor is the optimum one and to be recommended. The results of said analysis are presented. Such analysis at the planning and development stages of installation will enable the wind power developer or the power utilities to make a judicious choice of potential site and wind turbine generator system from the available potential sites and wind turbine generators respectively.

Nyckelord

Offshore wind; Climate change; Capacity factor; Wind data.

Referenser

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