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.

Wind Resource Assessment Using a Mesoscale Model: The Effect of Horizontal Resolution

2012 ◽  
Author(s):  
S. Jafari ◽  
T. Sommer ◽  
N. Chokani ◽  
R. S. Abhari
Keyword(s):  
Wind Energy ◽  
Complex Terrain ◽  
Prediction Models ◽  
Weather Prediction ◽  
Energy Resource ◽  
Resource Assessment ◽  
Land Area ◽  
Wind Resource Assessment ◽  
Wind Resource ◽  
Horizontal Grid

Prospecting for wind farm sites and pre-development studies of wind energy projects require knowledge of the wind energy resource over large areas (that is, areas of the order of 10’000 km2 and greater). One approach to detail this wind resource is the use of mesoscale numerical weather prediction models. In this paper, the mesoscale Weather Research and Forecasting (WRF) model is used to examine the effect of horizontal grid resolution on the fidelity of the predictions of the wind resource. The simulations are made for three test cases, Switzerland (land area 39’770 km2), Iowa (land area 145,743 km2) and Oregon (land area 248’647 km2), representing a range of terrain types, from complex terrain to flat terrain, over the period from 2006–2010. On the basis of comparisons to the data from meteorological masts and tall communication towers, guidelines are given for the horizontal grid required in the use of mesoscale models of large area wind resource assessment, especially over complex terrain.

Wind Energy Resource Assessment of Henan Province

2014 ◽  
Vol 953-954 ◽  
pp. 462-466
Author(s):  
Pan Pan ◽  
Wan Long Gu ◽  
Ye Yu Zhu
Keyword(s):  
Wind Energy ◽  
Energy Resource ◽  
Resource Assessment ◽  
Henan Province ◽  
Energy Resources ◽  
Observation Data ◽  
Wind Resource ◽  
Wind Energy Resources ◽  
Hills Area ◽  
Wind Resources

With the observation data of the whole year from November 2012 to October 2013 and results of numerical simulation, we do some research on the wind energy resources of Henan Province. Variation of wind energy resources is generally better in winter and spring, poor in summer and autumn. Diurnal variation of wind resources across different, but most good wind resource areas are located at higher elevations, and wind resource is generally better at daytime than night. Wind resources of Henan province is relatively limited, which can be technology developed are located in hills area and the mountain highlands of northern, central, western and southern part. Better resources are mainly located on hilltop and ridge.

scholarly journals Offshore Wind Energy Resource Assessment from Satellite Data Observations and WRF in Porto Santo Island

2020 ◽  
Author(s):  
Fabiola S. Pereira ◽  
Carlos S. Silva
Keyword(s):  
Wind Energy ◽  
Weibull Distribution ◽  
Energy Production ◽  
Energy Resource ◽  
Resource Assessment ◽  
Offshore Wind ◽  
Electricity Production ◽  
Offshore Wind Energy ◽  
Wind Resource Assessment ◽  
Wind Resource

Abstract. The vast majority of isolated electricity production systems such as Islands depends on fossil fuels. Porto Santo Island, a Portuguese UNESCO Biosphere Reserve candidate from Madeira Archipelago situated in the Atlantic Ocean, aims to become a sustainable territory in order to reduce its carbon footprint. A sustainable pathway goes through the integration of renewable energy in the electricity production system, in particular, the potential of offshore wind energy. The scope of this work has three main purposes: (1) the offshore wind resource assessment in Porto Santo Island, (2) the determination of a zone of interest regarding the combination of different parameters such us the bathymetry, distance to the coastline and integrated in the national situation plan of maritime space (3) the estimation of the annual energy production from the best-fitted Weibull Distribution. In the first place, a methodology for data analysis was defined processing netcdf data regarding a ten year wind hindcast from WRF (Weather Research and Forecasting) atmospheric model at 100 m above mean sea level from Ocean Observatory, annual and monthly mean offshore wind energy resource maps were created and a comparison with about 20 year times series of surface winds derived from remotely satellite scatterometer observations at different locations was made. Results show that the average annual mean wind speeds reach the range of 6.6–7.6 m/s in specific areas, situated in the northern part of Porto Santo Island with a Weibull distribution shape parameter (k) of 2.4–2.9. Based on the results, the wind resource assessment, the estimation of the annual wind energy production and capacity factors were calculated from the best-fitted Weibull distribution for each of the geographical coordinates selected. Comparisons with observational data show that WRF model is a proficient wind generating tool. The technical energy production potential and a priority zoning for offshore wind power development is performed using wind turbine generators of 3.3 MW–8.0 MW capacity, that could generate between 12 and 26 GWh of energy per year, while avoiding CO2 emissions. The results show that an offshore wind farm plan is an eligible choice, with an average annual wind power density reaching about 300  W/m2 at 100 m height in the north region.

scholarly journals Estimating Air Density Using Observations and Re-Analysis Outputs for Wind Energy Purposes

Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2038 ◽  
Author(s):  
Rogier Floors ◽  
Morten Nielsen
Keyword(s):  
Wind Energy ◽  
Energy Resource ◽  
Analysis Data ◽  
Resource Assessment ◽  
Current Version ◽  
Wind Resource Assessment ◽  
Industry Standard ◽  
Air Density ◽  
Wind Resource ◽  
Power Curves

A method to estimate air density as a function of elevation for wind energy resource assessments is presented. The current practice of using nearby measurements of pressure and temperature is compared with a method that uses re-analysis data. It is found that using re-analysis data to estimate air density gives similar or smaller mean absolute errors compared to using measurements that were on average located 40 km away. A method to interpolate power curves that are valid for different air densities is presented. The new model is implemented in the industry-standard model for wind resource assessment and compared with the current version of that model and shown to lead to more accurate assessment of the air density at different elevations.

Analysis of the wind resource off New Jersey for offshore wind energy development

2012 Oceans ◽  
2012 ◽  
Author(s):  
H. Roarty ◽  
J. Riscica ◽  
L. Palamara ◽  
L. Bowers ◽  
G. Seroka ◽  
...  
Keyword(s):  
New Jersey ◽  
Wind Energy ◽  
Energy Development ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
Wind Energy Development ◽  
Wind Resource
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