Wind potential estimation and proposed energy production in Southern Punjab using Weibull probability density function and surface measured data

Current work focusses on the wind potential assessment in South Punjab. Eleven locations from South Punjab have been analyzed using two-parameter Weibull model (with Energy Pattern Factor Method to estimate Weibull parameters) and five years (2014–2018) hourly wind data measured at 50 m height and c...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Energy Exploration & Exploitation. - Sage Publications, Inc.. - 39(2021), 6, Seite 2150-2168
1. Verfasser: Sumair, Muhammad (VerfasserIn)
Weitere Verfasser: Aized, Tauseef, Gardezi, Syed Asad Raza, Rehman, Syed Ubaid Ur, Rehman, Syed Muhammad Sohail
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2021
Zugriff auf das übergeordnete Werk:Energy Exploration & Exploitation
LEADER 01000naa a22002652 4500
001 JST141337494
003 DE-627
005 20250107175149.0
007 cr uuu---uuuuu
008 250107s2021 xx |||||o 00| ||eng c
035 |a (DE-627)JST141337494 
035 |a (JST)27166825 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Sumair, Muhammad  |e verfasserin  |4 aut 
245 1 0 |a Wind potential estimation and proposed energy production in Southern Punjab using Weibull probability density function and surface measured data 
264 1 |c 2021 
336 |a Text  |b txt  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
520 |a Current work focusses on the wind potential assessment in South Punjab. Eleven locations from South Punjab have been analyzed using two-parameter Weibull model (with Energy Pattern Factor Method to estimate Weibull parameters) and five years (2014–2018) hourly wind data measured at 50 m height and collected from Pakistan Meteorological Department. Techno-economic analysis of energy production using six different turbine models was carried out with the purpose of presenting a clear picture about the importance of turbine selection at particular location. The analysis showed that Rahim Yar Khan carries the highest wind speed, highest wind power density, and wind energy density with values 4.40 ms−1, 77.2 W/m² and 677.76 kWh/m²/year, respectively. On the other extreme, Bahawalnagar observes the least wind speed i.e. 3.60 ms−1 while Layyah observes the minimum wind power density and wind energy density as 38.96 W/m² and 352.24 kWh/m²/year, respectively. According to National Renewable Energy Laboratory standards, wind potential ranging from 0 to 200 W/m² is considered poor. Economic assessment was carried out to find feasibility of the location for energy harvesting. Finally, Polar diagrams drawn to show the optimum wind blowing directions shows that optimum wind direction in the region is southwest. 
540 |a © The Author(s) 2020 
655 4 |a research-article 
700 1 |a Aized, Tauseef  |e verfasserin  |4 aut 
700 1 |a Gardezi, Syed Asad Raza  |e verfasserin  |4 aut 
700 1 |a Rehman, Syed Ubaid Ur  |e verfasserin  |4 aut 
700 1 |a Rehman, Syed Muhammad Sohail  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Energy Exploration & Exploitation  |d Sage Publications, Inc.  |g 39(2021), 6, Seite 2150-2168  |w (DE-627)JST112767508  |x 20484054  |7 nnns 
773 1 8 |g volume:39  |g year:2021  |g number:6  |g pages:2150-2168 
856 4 0 |u https://www.jstor.org/stable/27166825  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_JST 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 39  |j 2021  |e 6  |h 2150-2168