A feasibility study for deployment of wind energy based power production solution in Islamabad, Pakistan

Author(s):  
Fahd Ali Shifa ◽  
Muhammad Fasih Uddin Butt
2005 ◽  
Author(s):  
Philip MacDonald ◽  
Jacopo Buongiorno ◽  
James Sterbentz ◽  
Cliff Davis ◽  
Robert Witt ◽  
...  

2021 ◽  
Author(s):  
Firas Basim Ismail ◽  
Mohammed Najah Mahdi ◽  
Ahmad A. Salah ◽  
Nizar F.O. Al-Muhsen ◽  
Mohammad M. Shalby ◽  
...  

Author(s):  
Andrew C. Nix ◽  
Seth A. Lawson ◽  
Robert G. Murphy

It is common practice to install wind-monitoring stations in geographical locations having high winds to estimate power production prior to installing large-scale wind farms. For the current study, a wind-monitoring program was developed as an educational tool for undergraduate engineering students at West Virginia University. The focus of this paper is not on the results of the assessment, but rather on how this program was used as a hands-on approach for educating students about wind energy and availability. The objective of the student/industry collaborative project was to determine the feasibility of constructing a wind farm to power a federal prison facility located in an area with an abundant wind resource in North Central West Virginia, while educating students on wind energy. This paper presents a description and assessment of this program as an undergraduate senior design project. As part of the program, students played a key role from the developmental stages of the project, to the assessment of the results. During the first semester of the senior design project, students procured a wind monitoring station based on down-select criteria, selected the site for construction, installed the wind monitoring station, commissioned the sensor suite, and performed quality assurance/quality control (QA/QC) of and evaluated the initial data sets. Students logged data through the second semester of the program, performed data quality monitoring, processed average wind speed and direction data into frequency distributions and wind roses, analyzed monthly and diurnal averages in wind resources and performed power production calculations. Several different methodologies were employed, including application of fluid control volume energy analysis to derive Betz’ limit, turbine efficiency curves with operational limits and Weibull statistics to employ online power production estimators. The program successfully introduced students to the applicability of their engineering education to the area of renewable energy.


2020 ◽  
Author(s):  
Ricardo García-Herrera ◽  
Jose M. Garrido-Perez ◽  
Carlos Ordóñez ◽  
David Barriopedro ◽  
Daniel Paredes

<p><span><span>We have examined the applicability of a new set of 8 tailored weather regimes (WRs) to reproduce wind power variability in Western Europe. These WRs have been defined using a substantially smaller domain than those traditionally used to derive WRs for the North Atlantic-European sector, in order to maximize the large-scale circulation signal on wind power in the region of study. Wind power is characterized here by wind capacity factors (CFs) from a meteorological reanalysis dataset and from high-resolution data simulated by the Weather Research and Forecasting (WRF) model. We first show that WRs capture effectively year-round onshore wind power production variability across Europe, especially over northwestern / central Europe and Iberia. Since the influence of the large-scale circulation on wind energy production is regionally dependent, we have then examined the high-resolution CF data interpolated to the location of more than 100 wind farms in two regions with different orography and climatological features, the UK and the Iberian Peninsula. </span></span></p><p><span><span>The use of WRs allows discriminating situations with varied wind speed distributions and power production in both regions. In addition, the use of their monthly frequencies of occurrence as predictors in a multi-linear regression model allows explaining up to two thirds of the month-to-month CF variability for most seasons and sub-regions. These results outperform those previously reported based on Euro-Atlantic modes of atmospheric circulation. The improvement achieved by the spatial adaptation of WRs to a relatively small domain seems to compensate for the reduction in explained variance that may occur when using yearly as compared to monthly or seasonal WR classifications. In addition, our annual WR classification has the advantage that it allows applying a consistent group of WRs to reproduce day-to-day wind speed variability during extreme events regardless of the time of the year. As an illustration, we have applied these WRs to two recent periods such as the wind energy deficit of summer 2018 in the UK and the surplus of March 2018 in Iberia, which can be explained consistently by the different combinations of WRs.</span></span></p>


Sign in / Sign up

Export Citation Format

Share Document