SUPPORTED BY

• Ministry of Non-conventional Energy Sources, Government of India, New Delhi
• Ministry of External Affairs, Government of India, New Delhi
• Ministry of Environment and Forests, Government of India, New Delhi
• Government of Madhya Pradesh, Bhopal
• Indian Wind Power Association, Chennai
• Centre for Wind Energy Technology, Chennai
• Indian Renewable Energy Development Agency, New Delhi
• India Energy Forum, New Delhi
• Assocham, New Delhi
• PHD Chamber of Commerce and Industry, New Delhi
• Senergy Global Pvt. Ltd.

Speaker Profiles

Dr.Siddarth Shankar Das

Presentation Type: Oral



Address: Centre for Wind Energy Technology, Ministry of Non-Conventional Energy Sources, Government of India, Velachery-Tambaram High Road, Pallikaranai, Chennai-601302
Phone: +91-44-22463982
Fax: +91-44-22463980
Email-ID: dassiddhu@rediffmail.com
Organization: Centre for Wind Energy Technology
Designation: Scientist
Country: India

Paper Title: WIND FARM SITE ASSESSMENT USING MEASURE –CORRELATE-PREDICT (MCP) ANALYSIS

Abstract of the paper

The most critical input for assessing a wind farm site is reliable and availability of wind data. The general practice is to measure wind at a reference location and extrapolate it for a proposed site. If area is very large (say thousand of hectares), this may cause error in energy prediction. Measure correlate prediction (MCP) method can provide long-term predications of the wind characteristics from the short-term measurement at the target site. The reference site and target site data are analyzed to determine the correlation between the two sets of data. This correlation is then used to predict the wind climatatology at the proposed wind farm site. This method is validated with the measured data of the observed site.

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