NDLI: Low-cost wind resource assessment for small-scale turbine installations using site pre-screening and short-term wind measurements

Content Provider	IET Digital Library
Author	Weekes, Shemaiah Matthias Tomlin, Alison S.
Abstract	A two-stage approach to low-cost wind resource assessment for small-scale wind installations has been investigated in terms of its ability to screen for non-viable sites and to provide accurate wind power predictions at promising locations. The approach was implemented as a case study at ten UK locations where domestic-scale turbines were previously installed. In stage one, sites were pre-screened using a boundary-layer scaling model to predict the mean wind power density, including estimated uncertainties, and these predictions were compared to a minimum viability criterion. Using this procedure, five of the seven non-viable sites were correctly identified without direct onsite wind measurements and none of the viable sites were excluded. In stage two, more detailed analysis was carried out using 3 months onsite wind measurements combined with measure–correlate–predict (MCP) approaches. Using this process, the remaining two non-viable sites were identified and the available wind power density at the three viable sites was accurately predicted. The effect of seasonal variability on the MCP-predicted wind resource was considered and the implications for financial projections were highlighted. The study provides a framework for low-cost wind resource assessment in cases where long-term onsite measurements may be too costly or impractical.
Starting Page	349
Ending Page	358
Page Count	10
ISSN	17521416
Volume Number	8
e-ISSN	17521424
Issue Number	Issue 4, May (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/8/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2013.0152
Journal	IET Renewable Power Generation
Publisher Date	2014-04-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Boundary Layer Boundary Layer Scaling Model Domestic Scale Turbines Energy ReSource MCP Approach Mean Wind Power Density Prediction Measureâ€“correlateâ€“predict Nonviable Site Identification Onsite Wind Measurement Site Prescreening Small-scale Turbine Installation Uncertainty Estimation Wind Wind Power Wind Power Plant Wind Power Prediction Accuracy Wind Resource Assessment Wind Turbine
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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