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

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

scholarly journals Assessing wind energy development in Uganda: Opportunities and challenges

2021 ◽  
pp. 0309524X2098576
Author(s):  
Benard M Wabukala ◽  
Jacob Otim ◽  
Geoffrey Mubiinzi ◽  
Muyiwa S Adaramola
Keyword(s):  
Wind Energy ◽  
Rural Areas ◽  
Energy Demand ◽  
Energy Resource ◽  
Resource Assessment ◽  
Energy Development ◽  
Resource Data ◽  
Wind Energy Development ◽  
Electricity Access ◽  
Wind Resource

In this paper, we utilize a systematic review to assess opportunities and challenges in wind energy development in Uganda. Apart from being an environmentally friendly and renewable energy resource, development of wind energy could boosts economic growth and creates jobs. For Uganda, rising energy demand, need to reduce greenhouse gas emissions, and increasing electricity access to rural areas, emerge as rational opportunities to invest in wind energy. The main obstacles to wind energy development in Uganda are insufficient wind resource data, high initial investment cost, inadequate research and development, weak infrastructure, and unsupportive policies. For policy, comprehensive wind resource assessment, energy infrastructure investment, financial de-risking, capacity building, and deliberate wind power policy incentives could accelerate wind energy development and consequently contribute to the country’s energy security.

Practical Wind Resource Assessment for Tayside Region in Scotland

1995 ◽  
Vol 6 (4) ◽  
pp. 361-381
Author(s):  
G.S. Saluja ◽  
N.G. Douglas
Keyword(s):  
Renewable Energy ◽  
Wind Energy ◽  
Energy Resource ◽  
Resource Assessment ◽  
Wind Speeds ◽  
Wind Resource Assessment ◽  
Planning Policy ◽  
Policy Guideline ◽  
Wind Energy Development ◽  
Wind Resource

This paper presents the results of a study which estimates the practical wind energy resource for the Tayside Region of Scotland. The study considered all technical, environmental and legislative factors relevant to wind energy development. Due consideration was also given to National Planning Policy Guideline (NPPG6): Renewable Energy and Planning Advice Note 45 (PAN45): Renewable Energy Technology, issued by the Scottish Office Environment Department, in addition to the policies of the planning authorities within Tayside with regards to such matters as development in National Scenic Areas and other designated areas. An area of 1290 km2 was identified as being the minimum practical resource which is free from environmental and technical constraints and which has sufficiently high wind speeds to make extraction of energy from the wind commercially viable. This area could accommodate an installed wind energy capacity of 9675 MW and produce 24.6 TWh of wind generated electricity per annum.

scholarly journals Lidar uncertainty and beam averaging correction

2015 ◽  
Vol 12 (1) ◽  
pp. 85-89 ◽  
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.

Wind resource assessment and economic analysis for electricity generation in three locations of the Republic of Djibouti

Energy ◽  
2019 ◽  
Vol 185 ◽  
pp. 884-894 ◽  
Author(s):  
Omar Assowe Dabar ◽  
Mohamed Osman Awaleh ◽  
Daniel Kirk-Davidoff ◽  
Jon Olauson ◽  
Lennart Söder ◽  
...  
Keyword(s):  
Economic Analysis ◽  
Electricity Generation ◽  
Resource Assessment ◽  
Wind Resource Assessment ◽  
The Republic ◽  
Wind Resource

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

2008 ◽  
Vol 130 (3) ◽  
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.

Urban wind resource assessment in changing climate: Case study

2016 ◽  
Vol 41 (1) ◽  
pp. 3-12 ◽  
Author(s):  
Djordje Romanic ◽  
Ashkan Rasouli ◽  
Horia Hangan
Keyword(s):  
Climate Change ◽  
Wind Energy ◽  
Resource Assessment ◽  
Urban Environments ◽  
Wind Resource Assessment ◽  
Changing Climate ◽  
Energy Maps ◽  
Wind Resource ◽  
The City

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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