Experimental Modeling of Wind Resources for Electricity Generation in the Ningo‐Prampram Region of Ghana

ABSTRACT Wind energy, as a renewable energy source, plays a critical role in achieving the world's energy transition goals. This study assesses the wind resource characteristics and potential for wind power production in the Ningo‐Prampram District of Ghana. On‐site wind measurements were conducted using an air flow anemometer at various reference points within the study area. The collected site data were statistically validated against existing satellite data using T ‐test analysis, which revealed no significant difference between the ground and satellite measurements ( p > 0.05), despite observed changes in weather patterns. The results showed that the mean wind speed in the area ranged between 4 and 5.6 m/s at a height of 10 m, with a predominant wind direction from the East. The district exhibited a moderate turbulence intensity of 0.226, indicating fairly good suitability for wind power projects. A feasibility analysis determined that the study area, covering 142.03 km², has the potential to accommodate a 40 MW wind farm using 20 Enercon‐82‐E2 wind turbines (2 MW each) with an 80 m hub height. This installation could reduce Ghana's Wind Utility Scale total target for 2030 by 25.256%. These findings suggest that the Ningo‐Prampram District possesses favorable conditions for sustainable wind power development.

Authors

Institutions

Publication Details

Journal
Energy Science & Engineering
Published
2025-01-29
DOI
https://doi.org/10.1002/ese3.2079
Primary Topic
Electric Power System Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experimental Modeling of Wind Resources for Electricity Generation in the Ningo‐Prampram Region of Ghana

Nana Yaw Asiedu, Joseph Kwasi Asamoah, Johannes Ami, Bright Amponsem et al.
Energy Science & Engineering
Electric Power System Optimization
article

Experimental Modeling of Wind Resources for Electricity Generation in the Ningo‐Prampram Region of Ghana

Nana Yaw Asiedu, Joseph Kwasi Asamoah, Johannes Ami, Bright Amponsem, Matthew Kwofie, Ato Fanyin‐Martin
article en

Abstract

ABSTRACT Wind energy, as a renewable energy source, plays a critical role in achieving the world's energy transition goals. This study assesses the wind resource characteristics and potential for wind power production in the Ningo‐Prampram District of Ghana. On‐site wind measurements were conducted using an air flow anemometer at various reference points within the study area. The collected site data were statistically validated against existing satellite data using T ‐test analysis, which revealed no significant difference between the ground and satellite measurements ( p > 0.05), despite observed changes in weather patterns. The results showed that the mean wind speed in the area ranged between 4 and 5.6 m/s at a height of 10 m, with a predominant wind direction from the East. The district exhibited a moderate turbulence intensity of 0.226, indicating fairly good suitability for wind power projects. A feasibility analysis determined that the study area, covering 142.03 km², has the potential to accommodate a 40 MW wind farm using 20 Enercon‐82‐E2 wind turbines (2 MW each) with an 80 m hub height. This installation could reduce Ghana's Wind Utility Scale total target for 2030 by 25.256%. These findings suggest that the Ningo‐Prampram District possesses favorable conditions for sustainable wind power development.

Energy Science & EngineeringVol. 13(3)
University of Mines and Technology (GH), Kumasi Technical University (GH), Kwame Nkrumah University of Science and Technology (GH), Regional Maritime University (GH)
Openalex Percentile: Top 99%
Electric Power System Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.