A comprehensive review of wind resource assessment
Introduction
The energy sector assumes critical importance in view of ever increasing demand requiring huge investments. There has been a sturdy association between commercial activities and accessibility to the energy resources depending on the historical data. Electricity generation is a major driving force for the financial progress of developing economies like India, which has been viewing a phenomenal industrial progress. The generation of electricity by fossil fuels has been one of the prominent activity in such fuel based economies throughout the world, however such type of electricity generation imposes an adverse threat to the environment due to pollution, in the form of greenhouse gases emissions in the environment, thereby causing problems like global warming, acid rains, and climate change [1]. In global context, electricity generation by renewable energy applications show that the major contribution is from hydro and wind resource whereas a small portion comes from reaming renewable sources like solar, biomass, geothermal, wastes, and tidal wave ocean energy. Renewable generation technologies have been considered pollution free energy sources and their optimum use curtail the impact on environment, causes minimum secondary wastes, and have proved sustainable [2]. In present scenario, 657 GW of renewable power is contributed by the various renewable energy sources (RES) such as wind power, solar power, bio power, geothermal power, and concentrating solar thermal power and ocean power globally. Fig. 1 reveals that the total renewable power installed in top seven countries during from 2004 to 2014 [3].
All the RES except geothermal and tidal are the manifestation of ultimate energy of sun. The sun emits the 174,423,000,000,000 kWh amount of energy to the earth surface, also it can be expressed in terms of power i.e. about 1.741017 W which is received by the earth's surface with a circular area of 1.271014 m2 and is about 1–2% of the energy received from the sun is transformed into wind energy and this meagre percentage is approximately 50–100 times higher than the energy obtained from the biomass, i.e. energy conversion from all the plants on this earth [4]. The wind is caused due to the natural flow of air across the sea or on the earth surface. The earth's rotation and temperature difference on account of uneven heating and cooling of its surface causes winds to blow. The heat received from the sun is absorbed by the land and water areas in varying amounts, as a result, warm air rises and cold air rushes to replace it and thus causing local winds. The wind power is operationally and commercially utmost viable RES for generation of power. Wind is considered the centerpiece of the efficient and economical energy. It is available abundantly in nature, is reasonably priced, and evenly distributed. Therefore, the wind resources on earth cannot be depleted, so long as civilization exists, whereas oil wells may go dry and coal seams will run out some day in future. This resource i.e. wind is now the mainstream electricity generation source, which plays a dominant role in long term energy plans for a number of countries [5]. Escalating fuel expenditures, growing energy consumption, and the stringent ecological regulations have led the power engineers to seek solution for alternate and sustainable sources of energy. Wind power is considered the largest developed and commercially available RES among the known hydro RES. Based on the recent developments including projected growth and generation cost of major renewable technologies, it has been concluded that the growth of the RES based power generation must be made mandatory globally to bridge the gap between demand and supply of electricity in future without effecting the environment [6].
The preliminary challenges concerning about sustainable development namely energy security, climate change, and energy access makes a persuasive case for wind energy utilization in large scale manner. Nevertheless, the regular winds are vary place to place and time to time in daily, annual, seasonal, diurnal patterns across the globe. However, it is important to access the wind power potential (WPP) at any given location or area to decide the capacity of wind resource for electricity generation within available time limit of wind duration. Therefore, it is pertinent to observe the wind characteristics and type of wind turbine (WT) technology suitable for any given promising location. These factors are very much helpful for wind power developers and investors to take a decision with respect to the economic constraints. Keeping in view all the wind parameters and characteristics, the aim of the present paper is to carry out a comprehensive literature review on wind resource assessment (WRA); which will be highly beneficial for the researchers, technocrats, and utility entities working in this domain, and to the developing countries where WPP has been partly harnessed. However, the research contributions by various researchers starting from very basic techniques to advanced techniques till date have been explored in the present work. The paper has been organized as given below:
Section snippets
Overview of global wind power installed capacity, estimated potential, and current wind turbine technologies
Wind can be considered as one of the most favorable RES, i.e. capable of satisfying power demand in an interconnected grid, standalone system, and for remote applications. The review of the present status of global wind power installation capacities, power potential, and wind energy conversion systems (WECS) technologies are presented in the following subsections.
Methodologies involved in wind resource assessment techniques
The wind speed (WS) measurements play vital role in all phases of WRA as input parameter, which is initial step for the verification of modelling predictions of wind resources. Further, the annual energy yield determined from the final database measurements for the performance and production of WT or WF are required for the verification and validation before commissioning the WF.
Variation of wind profile with height
A proper feasibility analysis for a precise estimation of a specific site and its characteristic is required for the successful commissioning of any wind project development. The height of the WS measurement is one of the most import parameter for WT designers/ manufacturers. Now a days, the modern WT hub heights are commonly available in the range of 50–120 m and this makes it a difficult task to take the measurements closest to the required hub heights of WT, and hence requires the extra cost
Numerical weather prediction models
Al-Yahyai et al. have presented literature review of the WRA using the data measured from the automatic weather stations which have been installed by meteorological departments over the locations such as airports, ports, and highly dense populations. Such type of data sources have some constraints like higher cost involved and uneven resolution. Also, wind profile over a site requires at least one year data measurements which is not possible prior to one year of operation. Based on these
Software tools for wind resource assessment
Numerous software tools are available for modelling or estimation of the wind resource such as WAsP, Openwind, Wind PRO, WindFarm, Farm visualization, etc. Such computing models help in predicting the wind characteristics of the locations for which measurements are not available. A brief account of such software tools has been shown in Table 10 [106].
Petersen et al. have emphasized on a thorough characteristic of a terrain with respect to surface roughness, orographic features, and nearby
Optimization of wind resources
The German aerodynamicist named as Albert Betz has proposed an efficiency of WT or power/performance coefficient of WT and has calculated the highest value of wind energy utilization coefficient as 0.593 in 1920, which is popularly known as Betz limit. In early 1915, the Lanchester (British scientist) assumed the same limiting value. Further, the Russian scientist named as Joukowsky was also obtained the similar results independently in the same year 1920 too. Hence, therefore the performance
Scope of hybrid systems
Wind is dynamic in nature and an intermittent source of energy, therefore, it is not possible to meet the electrical energy demand for all 24 h from wind power alone. Therefore, researchers have mentioned a need for a hybrid power system to meet the power demand. The various modelling issues of wind power integration and there probabilistic reliability have been assessed using several wind generation scenarios [133].
Sinha and Chandel have discussed about 19 software tools for hybrid RES system
Uncertainties in wind resource assessment
Clerc et al. have proposed a methodology for estimating the uncertainties associated with the wind flow model, which causes significant changes in the total energy yield and is essential to know the financial risk of WF. This methodology has been developed using WAsP. The analysis of data presented in this methodology has been used for the corroboration of wind flow models like CFD and mesoscale. Wind flow uncertainty can be reduced by adding metrological masts. The reliability of this method
Conclusion
The paper has presented the comprehensive review of the research work carried out in the area of WRA and the authors have critically examined the each and every aspect of WRA. The major conclusions drawn from this research work have been described as given below:
- •
The preliminary assessment gives the basic idea about the behavior (diurnal, monthly, seasonal, and annual) of local wind climate from the available wind resource by the inputs from local people. Folklores have been considered more
References (153)
- et al.
A review on global renewable electricity scenario
Renew Sustain Energy Rev
(2014) - et al.
Perspectives on innovative concepts in wind-power generation
Energy Sustain Dev
(2011) A review on the inclusion of wind generation in power system studies
Renew Sustain Energy Rev
(2016)- et al.
A review on small scale wind turbines
Renew Sustain Energy Rev
(2016) - et al.
Strategies for the development of offshore wind technology for far-east countries – a point of view from patent analysis
Renew Sustain Energy Rev
(2016) - et al.
Wind power developments in India
Renew Sustain Energy Rev
(2015) Weibull parameters for annual and monthly wind speed distributions for five locations in India
Sol Energy
(1986)- et al.
Wind speed and power density analysis based on Weibull and Rayleigh distributions (a case study: Firouzkooh county of Iran)
Renew Sustain Energy Rev
(2015) - et al.
Fitting wind speed distributions: a case study
Sol Energy
(1998) - et al.
Annual and seasonal variations in mean wind speed and wind turbine energy production
Sol Energy
(1990)
A wind energy analysis of Grenada: an estimation using the ‘Weibull’ density function
Renew Energy
An assessment of wind energy potential as a power generation source in the capital of Iran
Tehran Energy
Uncertainty analysis of wind energy potential assessment
Appl Energy
Weibull representative compressed wind speed data for energy and performance calculations of wind energy systems
Energy Convers Manag
Energy output estimation for small-scale wind power generators using Weibull-representative wind data
J Wind Eng Ind Aerodyn
Performance comparison of six numerical methods in estimating Weibull parameters for wind energy application
Appl Energy
Investigation of wind characteristics and assessment of wind-generation potentiality in Uludag-Bursa, Turkey
Appl Energy
Some statistical characteristics of monthly average wind speed at various heights
Renew Sustain Energy Rev
Wind energy in Egypt: economic feasibility for Cairo
Renew Sustain Energy Rev
Wind power potential assessment of 12 locations in western Himalayan region of India
Renew Sustain Energy Rev
Wind resource assessment for decentralized power generation: case study of a complex hilly terrain in western Himalayan region
Sustain Energy Technol Assess
A study of Weibull parameters using long term wind observations
Renew Energy
Wind power assessment and evaluation of electricity generation in the Gulf of Tunis, Tunisia
Sustain Cities Soc
Wind speed pattern and the available Wind power at Basotu, Tanzania
Renew Energy
Feasibility analysis of wind-energy utilization in Croatia
Energy
Short-term forecasting of wind speed and related electrical power
Sol Energy
Short term prediction of the power production from wind farms
Wind Eng Ind Aerodyn
A comparison of various forecasting techniques applied to mean hourly wind speed time series
Renew Energy
Small wind turbines-a unique segment of the wind power market
Renew Energy
A review of estimation of effective wind speed based control of wind turbines
Renew Sustain Energy Rev
Estimation methods review and analysis of offshore extreme wind speeds and wind energy resources
Renew Sustain Energy Rev
Wind resource assessment of Northern Cyprus
Renew Sustain Energy Rev
Wind shear coefficients and energy yield for Dhahran, Saudi Arabia
Renew Energy
A model for vertical wind speed data extrapolation for improving wind resource assessment using WAsP
Renew Energy
Investigation of wind shear coefficients and their effect on electrical energy generation
Appl Energy
A new method for improved hub height mean wind speed estimates using short-term hub height data
Renew Energy
Dependence of power law index on surface wind speed
Energy Conserv Manag
An overview of global ocean wind energy resource evaluations
Renew Sustain Energy Rev
Extrapolating wind speed time series vs. Weibull distribution to assess wind resource to the turbine hub height: a case study on coast allocation in Southern Italy
Renew Energy
Methods to extrapolate wind resource to the turbine hub height based on power law: a 1-h wind speed vs. Weibull distribution extrapolation comparison
Renew Energy
Wind shear coefficients, roughness length and energy yield over coastal locations in Southern Italy
Renew Energy
Measuring turbine inflow with vertically-profiling lidar in complex terrain
J Wind Eng Ind Aerodyn
Investigation of parameters influencing the efficiency of small wind turbines
J Wind Eng Ind Aerodyn
Modelling of turbulent wind flow using the embedded Markov chain method
Renew Energy
Extent to which international wind turbine design standard, IEC61400-2 is valid for a rooftop wind installation
J Wind Eng Ind Aerodyn
Wind shear coefficient, turbulence intensity and Wind power potential assessment for Dhulom, Saudi Arabia
Renew Energy
Review of the use of Numerical Weather Prediction (NWP) Models for wind energy assessment
Renew Sustain Energy Rev
Feasibility assessment of wind energy resources in Malaysia based on NWP models
Renew Energy
Nested ensemble NWP approach for wind energy assessment
Renew Energy
Cited by (148)
A critical assessment of the factors associated with the implementation of rooftop VAWTs: A review
2024, Energy Conversion and Management: XMetocean conditions at two Norwegian sites for development of offshore wind farms
2024, Renewable EnergyElectrical energy and the environment: Prospects and upcoming challenges of the World's top leading countries
2024, Renewable and Sustainable Energy Reviews