Urban wind resource assessment in changing climate: Case study

Urban wind resource assessment in changing climate has not been studied so far. This study presents a methodology for microscale numerical modelling of urban wind resource assessment in changing climate. The methodology is applied for a specific urban development in the city of Toronto, ON, Canada. It is shown that the speed of the southwest winds, that is, the most frequent winds increased for .8 m s−1 in the period from 1948 to 2015. The generated wind energy maps are used to estimate the influences of climate change on the available wind energy. It is shown that the geometry of irregularly spaced and located obstacles in urban environments has to be taken into consideration when performing studies on urban wind resource assessment in changing climate. In the analysed urban environment, peak speeds are more affected by climate change than the mean speeds.

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Wind resource assessment and economic analysis for wind energy development in Pakistan

Sustainable Energy Technologies and Assessments ◽

10.1016/j.seta.2021.101068 ◽

2021 ◽

Vol 44 ◽

pp. 101068

Author(s):

Muhammad Abid Saeed ◽

Zahoor Ahmed ◽

Sheharyar Hussain ◽

Weidong Zhang

Keyword(s):

Economic Analysis ◽

Wind Energy ◽

Resource Assessment ◽

Energy Development ◽

Wind Resource Assessment ◽

Wind Energy Development ◽

Wind Resource

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Optimal Approach for Wind Resource Assessment Using Kolmogorov–Smirnov Statistic: A Case Study for Large-Scale Wind Farm in Pakistan

Renewable Energy ◽

10.1016/j.renene.2021.01.008 ◽

2021 ◽

Author(s):

Muhammad Abid Saeed ◽

Zahoor Ahmed ◽

Weidong Zhang

Keyword(s):

Large Scale ◽

Wind Farm ◽

Resource Assessment ◽

Wind Resource Assessment ◽

Kolmogorov Smirnov ◽

Optimal Approach ◽

Wind Resource ◽

Smirnov Statistic

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Data efficient measure-correlate-predict approaches to wind resource assessment for small-scale wind energy

Renewable Energy ◽

10.1016/j.renene.2013.08.033 ◽

2014 ◽

Vol 63 ◽

pp. 162-171 ◽

Cited By ~ 21

Author(s):

S.M. Weekes ◽

A.S. Tomlin

Keyword(s):

Wind Energy ◽

Resource Assessment ◽

Small Scale ◽

Wind Resource Assessment ◽

Efficient Measure ◽

Wind Resource

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Lidar uncertainty and beam averaging correction

Advances in Science and Research ◽

10.5194/asr-12-85-2015 ◽

2015 ◽

Vol 12 (1) ◽

pp. 85-89 ◽

Cited By ~ 3

Author(s):

A. Giyanani ◽

W. Bierbooms ◽

G. van Bussel

Keyword(s):

Remote Sensing ◽

Wind Energy ◽

Complex Terrain ◽

New Technology ◽

Resource Assessment ◽

International Guideline ◽

Wind Resource Assessment ◽

Draft Version ◽

Wind Resource ◽

Atmospheric Variables

Abstract. Remote sensing of the atmospheric variables with the use of Lidar is a relatively new technology field for wind resource assessment in wind energy. A review of the draft version of an international guideline (CD IEC 61400-12-1 Ed.2) used for wind energy purposes is performed and some extra atmospheric variables are taken into account for proper representation of the site. A measurement campaign with two Leosphere vertical scanning WindCube Lidars and metmast measurements is used for comparison of the uncertainty in wind speed measurements using the CD IEC 61400-12-1 Ed.2. The comparison revealed higher but realistic uncertainties. A simple model for Lidar beam averaging correction is demonstrated for understanding deviation in the measurements. It can be further applied for beam averaging uncertainty calculations in flat and complex terrain.

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Wind Resource Assessment In The Western Part Of Algerian Highlands, Case Study Of El-Bayadh

2018 International Conference on Wind Energy and Applications in Algeria (ICWEAA) ◽

10.1109/icweaa.2018.8605091 ◽

2018 ◽

Author(s):

Sidi Mohammed BOUDIA ◽

Amine YAKOUBI ◽

Ouahiba GUERRI

Keyword(s):

Resource Assessment ◽

Wind Resource Assessment ◽

Wind Resource

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Uncertainty Analysis in MCP-Based Wind Resource Assessment and Energy Production Estimation

Journal of Solar Energy Engineering ◽

10.1115/1.2931499 ◽

2008 ◽

Vol 130 (3) ◽

Cited By ~ 44

Author(s):

Matthew A. Lackner ◽

Anthony L. Rogers ◽

James F. Manwell

Keyword(s):

Wind Energy ◽

Energy Production ◽

Closed Form Solution ◽

Resource Assessment ◽

Form Solution ◽

Mathematical Framework ◽

Site Assessment ◽

Wind Resource Assessment ◽

Uncertainty Sources ◽

Wind Resource

This paper presents a mathematical framework to properly account for uncertainty in wind resource assessment and wind energy production estimation. A meteorological tower based wind measurement campaign is considered exclusively, in which measure-correlate-predict is used to estimate the long-term wind resource. The evaluation of a wind resource and the subsequent estimation of the annual energy production (AEP) is a highly uncertain process. Uncertainty arises at all points in the process, from measuring the wind speed to the uncertainty in a power curve. A proper assessment of uncertainty is critical for judging the feasibility and risk of a potential wind energy development. The approach in this paper provides a framework for an accurate and objective accounting of uncertainty and, therefore, better decision making when assessing a potential wind energy site. It does not investigate the values of individual uncertainty sources. Three major aspects of site assessment uncertainty are presented here. First, a method is presented for combining uncertainty that arises in assessing the wind resource. Second, methods for handling uncertainty sources in wind turbine power output and energy losses are presented. Third, a new method for estimating the overall AEP uncertainty when using a Weibull distribution is presented. While it is commonly assumed that the uncertainty in the wind resource should be scaled by a factor between 2 and 3 to yield the uncertainty in the AEP, this work demonstrates that this assumption is an oversimplification and also presents a closed form solution for the sensitivity factors of the Weibull parameters.

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