Does wind speed effects performance and cost of energy? A case study of wind farm

2020 ◽  
Vol 14 (5) ◽  
pp. 953-974
Author(s):  
Zahid Hussain Hulio ◽  
Wei Jiang
Keyword(s):  
Renewable Energy ◽  
Wind Speed ◽  
Wind Farm ◽  
Power Coefficient ◽  
Local Wind ◽  
Content Type ◽  
Wind Speeds ◽  
Cost Of Energy ◽  
Wind Characteristics ◽  
The Cost

Purpose The rapid rising of renewable energy sources particularly wind energy cannot be ignored. The numerical increase in wind energy farms throughout the world is the best example. The purpose of this paper is to assess the basic question of whether wind characteristics affect the performance and cost of energy. The importance of this question cannot be ruled out while comparing renewable energy to a conventional form of energy more specifically especially for the developing country where the cost of energy is very high. Design/methodology/approach The research design of this paper is consists of an assessment of local wind characteristics of the wind farm site using Weibull k and c parameters. The performance model is used to assess the performance of the wind turbine (WT) corresponding to local wind characteristics. The wind correlation with WT in terms of changing wind speed has been assessed to quantify the effects of wind speed on the WT behavior and failure of WT components. Similarly, the power curve of WT is assessed and compared with the International Electrotechnical Commission standards 61400-12-2. The WT power coefficient and tip speed ratio corresponding to wind speed is also investigated. The energy volume and cost of energy lost model is used to determine the cost and volume loss of energy/kWh of the wind farm. Findings The findings of practical wind farms showed that the wind conditions of the site are showing a strong tendency that can be determined from the results of Weibull k and c parameters. The k and c parameters are observed to be 3.44 and 9.16 m/s, respectively, for a period of a year. The standard deviation is observed to be 2.56 for a period of a year. WT shows the efficient behavior can be obtained from the power coefficient and tip speed of WT at different wind speeds. Also, wind farm observation showed that to be some increasing wind speed cause of based WT component failures. The results of energy volume and cost/kWh assessment showed that the major portion of energy volume and cost of energy is lost owing to network, voltage dip and frequency surge, electrical and mechanical components failures. Originality/value Generally, it can be concluded that the WTs are now able to cope with variable wind speeds. However, the results of this paper are showing that WT performance and availability decreased due to increased wind speeds. It can also be a reason to decreased volume and increase the cost of energy/kWh.

scholarly journals Assessment of the apparent performance characterization along with levelized cost of energy of wind power plants considering real data

2018 ◽  
Vol 36 (6) ◽  
pp. 1708-1728 ◽  
Author(s):  
Zahid H Hulio ◽  
Wei Jiang
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Wind Power ◽  
Power Plants ◽  
Wind Farm ◽  
Power Coefficient ◽  
Speed Ratio ◽  
Data Set ◽  
Levelized Cost ◽  
Cost Of Energy

Pakistan pursued the renewable energy policy to minimize the cost of energy per kWh as well as dependence on costly imported oil. Jhimpir site is termed as wind corridor and has tremendous proven wind power potential. The site is hosted for the first installed wind power plant. The aim of paper is to investigate the performance and levelized cost of energy of a wind farm. The methodology covers assessment of wind characteristics, performance function and levelized cost of energy model. The measured mean wind speed was found to be 8 m/s at 80 m above the ground level. The average values of standard deviation, Weibull k and c parameters, obtained using entire data set, were found to be 2.563, 3.360 and 8.940 m/s at 80 m. Performance assessment including technical, real availability and average capacity factor was found to be 97, 90 and 34.50%, respectively. It is evident that the power coefficient dropped if wind speed crosses the rated power. So it can be concluded that the efficiency of wind turbine decreased by increased wind speed. Tip speed ratio shows that a wind turbine operating close to optimal lift and drag will exhibit the performance level. Wind turbine performs better at the wind speed between 6 and 10 m/s. The estimated average levelized cost of energy was US $0.11371 and US $0.04092/kWh for 1–10 and 11–20 years, respectively. This makes it competitive in terms of low production cost per kWh to other energy technologies.

scholarly journals Wind Turbine Optimization for Minimum Cost of Energy in Low Wind Speed Areas Considering Blade Length and Hub Height

2018 ◽  
Vol 8 (7) ◽  
pp. 1202 ◽  
Author(s):  
Han Yang ◽  
Jin Chen ◽  
Xiaoping Pang
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Unit Length ◽  
Wind Farms ◽  
Minimum Cost ◽  
Blade Length ◽  
Wind Speeds ◽  
Low Wind Speed ◽  
Cost Of Energy ◽  
The Cost

In recent years, sites with low annual average wind speeds have begun to be considered for the development of new wind farms. The majority of design methods for a wind turbine operating at low wind speed is to increase the blade length or hub height compared to a wind turbine operating in high wind speed sites. The cost of the rotor and the tower is a considerable portion of the overall wind turbine cost. This study investigates a method to trade-off the blade length and hub height during the wind turbine optimization at low wind speeds. A cost and scaling model is implemented to evaluate the cost of energy. The procedure optimizes the blades’ aero-structural performance considering blade length and the hub height simultaneously. The blade element momentum (BEM) code is used to evaluate blade aerodynamic performance and classical laminate theory (CLT) is applied to estimate the stiffness and mass per unit length of each blade section. The particle swarm optimization (PSO) algorithm is applied to determine the optimal wind turbine with the minimum cost of energy (COE). The results show that increasing rotor diameter is less efficient than increasing the hub height for a low wind speed turbine and the COE reduces 16.14% and 17.54% under two design schemes through the optimization.

Site specific assessment of wind characteristics and determination of wind loads effects on wind turbine components and energy generation

2018 ◽  
Vol 12 (3) ◽  
pp. 341-363 ◽  
Author(s):  
Jiang Wei ◽  
Zahid Hussain Hulio ◽  
Haroon Rashid
Keyword(s):  
Wind Turbine ◽  
Lift Coefficient ◽  
Energy Generation ◽  
Site Specific ◽  
Content Type ◽  
Cost Of Energy ◽  
Wind Characteristics ◽  
The Cost ◽  
Weight Model

PurposeThe purpose of this paper is to analyze wind characteristics and their effects on wind turbine components and energy generation at the candidate site.Design/methodology/approachThe methodology covered the detailed investigation of wind characteristics using Weibullkandcparameters and standard deviation at 30 m above the ground level (AGL). The wind shear coefficient and air density were also studied. The weight model was developed to determine the effects on wind turbine components and energy generation. At last, an economic assessment was carried out to determine the pre- and post-effects of the weight model on the cost of energy per kilowatt-hour.FindingsThe mean standard deviation, Weibullkparameter and Weibullcparameter were found to be 2.157, 2.617 and 6.087 m/s, respectively, at 30 m for a period of a year. The mean wind shear coefficient was found to be 0.176 for a year. The calculated results showed that site-specific midrange and amplitude force were 40.95 per cent and 37.75 per cent on wind turbine mechanical components, respectively. The average rise in force and drop in energy was found to be 35.50 per cent and 47.55 per cent, respectively. The lift coefficient, drag coefficient and pitching moment considering values (a, 0.1 and 0.2) showed an increase in force on wind turbine components that resulted in a drop in energy. The cost assessment results showed that the cost of energy was increased from US$0.032/kWh to 0.0466/kWh for wind turbineA.Practical implicationsAn accurate determination of the weight factor is necessary for near-reality assessment of wind energy yield and rise of force on the wind turbine. The results paved the way for site-specific design optimization of wind turbines.Originality/valueThe study contributes to the site-specific wind characteristic-based weight model to determine the effects of wind loads on wind turbine components and energy generation and compared with the specified design standard. The lift coefficient, drag coefficient and pitching moment coefficient show a rise in the force while considering the weight factor values. The results show that the site has the potential to generate energy at the lowest cost per kilowatt-hour, but it needs wind turbine design adjustments according to site-specific wind characteristics. If site-specific wind characteristics are considered, it would lead to maximum energy generation and high reliability of wind turbine components.

scholarly journals Perancangan bilah tipe taperless pada kincir angin: Studi kasus di PT. Lentera Bumi Nusantara Tasikmalaya

2019 ◽  
Vol 9 (2) ◽  
pp. 104
Author(s):  
N.H. Sari ◽  
W.G. Laksamana
Keyword(s):  
Renewable Energy ◽  
Wind Speed ◽  
Wind Turbines ◽  
Blade Design ◽  
Microsoft Excel ◽  
Wind Speeds ◽  
Wind Characteristics ◽  
Solid Works ◽  
Low Wind Speeds ◽  
Twisting Angle

The studies related to new renewable energy are still being developed. This study aims to design taperless blades on wind turbines, case studies at PT. Lentera Bumi Nusantara. The wind speed conditions in Tasikmalaya which are considered relatively moderate can be designed efficiently by the appropriate wind characteristics in Tasikmalaya. Microsoft Excel, Qblade, Solid Works, and aerodynamic equations have been used to design a blade. The result shows that the blades have a solid, easy to make and affordable structure that can produce mechanical power at low wind speeds with a radius, diameter hub and chord length of 0.8 m, 0.19 m and 0.12 m, respectively. A twisting angle at the base and at the end of the blade are 11.14° and 7.17°. respectively. The conclusion of this design exhibited that the blade design with the same edge blade can be applied to moderate wind speeds to produce efficient, compact and affordable wind turbines with wind characteristics in Tasikmalaya, Indonesia.

Analytical Model for the Wind Farm Capacity Factor Based on Local Wind Characteristics

2021 ◽  
Author(s):  
Vinicius de Lira Teixeira ◽  
Annibal Hetem ◽  
Gabriel Rodrigues Bruzinga ◽  
Ahda Pionkoski Grilo Pavani ◽  
Julio Carlos Teixeira
Keyword(s):  
Analytical Model ◽  
Wind Farm ◽  
Capacity Factor ◽  
Local Wind ◽  
Wind Characteristics

scholarly journals Experimental Study on Wake Evolution of a 1.5 MW Wind Turbine in a Complex Terrain Wind Farm Based on LiDAR Measurements

2020 ◽  
Vol 12 (6) ◽  
pp. 2467 ◽  
Author(s):  
Fei Zhao ◽  
Yihan Gao ◽  
Tengyuan Wang ◽  
Jinsha Yuan ◽  
Xiaoxia Gao
Keyword(s):  
Wind Speed ◽  
Wind Shear ◽  
Wind Farm ◽  
Wind Farms ◽  
Field Measurements ◽  
Development Trend ◽  
Asymmetric Distribution ◽  
Lidar Measurements ◽  
Wind Characteristics ◽  
The Development Trend

To study the wake development characteristics of wind farms in complex terrains, two different types of Light Detection and Ranging (LiDAR) were used to conduct the field measurements in a mountain wind farm in Hebei Province, China. Under two different incoming wake conditions, the influence of wind shear, terrain and incoming wind characteristics on the development trend of wake was analyzed. The results showed that the existence of wind shear effect causes asymmetric distribution of wind speed in the wake region. The relief of the terrain behind the turbine indicated a subsidence of the wake centerline, which had a linear relationship with the topography altitudes. The wake recovery rates were calculated, which comprehensively validated the conclusion that the wake recovery rate is determined by both the incoming wind turbulence intensity in the wake and the magnitude of the wind speed.

scholarly journals Optimal Sizing of a Pv-Wind Hybrid System Using Measured and Generated Database

2021 ◽  
Vol 03 (01) ◽  
pp. 34-44
Author(s):  
Abdellah Benallal ◽  
◽  
Nawel Cheggaga ◽  
Keyword(s):  
Renewable Energy ◽  
Wind Speed ◽  
Wind Turbine ◽  
Hybrid Systems ◽  
Hybrid System ◽  
Measured Data ◽  
Electrical Load ◽  
Wind Potential ◽  
Simulation Results ◽  
The Cost

Renewable energy hybrid systems give a good solution in isolated sites, in the Algerian desert; wind and solar potentials are considerably perfect for a combination in a renewable energy hybrid system to satisfy local village electrical load and minimize the storage requirements, which leads to reduce the cost of the installation. For a good sizing, it is essential to know accurately the solar potential of the installation area also wind potential at the same height where wind electric generators will be placed. In this work, we optimize a completely autonomous PV-wind hybrid system and show the techno-economical effects of the height of the wind turbine on the sizing of the hybrid system. We also compare the simulation results obtained from using wind speed measured data at 10 meters and 40 meters of height with the ones obtained from using wind speed extrapolation on HOMER software.

scholarly journals Wind speed modeling based on measurement data to predict future wind speed with modified Rayleigh model

2021 ◽  
Vol 12 (3) ◽  
pp. 1823
Author(s):  
Suwarno Suwarno ◽  
Rohana Rohana
Keyword(s):  
Wind Speed ◽  
Measurement Data ◽  
Rayleigh Distribution ◽  
Scale Factor ◽  
Percentage Error ◽  
Monthly Data ◽  
Wind Speeds ◽  
Wind Characteristics ◽  
One Year ◽  
The Many

The development of modeling wind speed plays a very important in helping to obtain the actual wind speed data for the benefit of the power plant planning in the future. The wind speed in this paper is obtained from a PCE-FWS 20 type measuring instrument with a duration of 30 minutes which is accumulated into monthly data for one year (2019). Despite the many wind speed modeling that has been done by researchers. Modeling wind speeds proposed in this study were obtained from the modified Rayleigh distribution. In this study, the Rayleigh scale factor (<em>C<sub>r</sub></em>) and modified Rayleigh scale factor (<em>C<sub>m</sub></em>) were calculated. The observed wind speed is compared with the predicted wind characteristics. The data fit test used correlation coefficient (R<sup>2</sup>), root means square error (RMSE), and mean absolute percentage error (MAPE). The results of the proposed modified Rayleigh model provide very good results for users.

scholarly journals QUANTIFYING THE UNCERTAINTY OF SOLAR PHOTOVOLTAIC SOFT COSTS IN THE “COST OF RENEWABLE ENERGY SPREADSHEET TOOL” (CREST) MODEL

2020 ◽  
Vol 1 ◽  
pp. 2157-2166
Author(s):  
S. M. Syal ◽  
E. F. MacDonald
Keyword(s):  
Renewable Energy ◽  
Development Process ◽  
Solar Photovoltaic ◽  
Financial Barriers ◽  
Solar Photovoltaics ◽  
Cost Of Energy ◽  
Sensitivity Indices ◽  
Project Costs ◽  
The Cost ◽  
Total Project

AbstractWhile solar photovoltaics are projected to grow, major financial barriers exist that impede installation. Soft costs (human-driven costs) can account for over half of total project costs and are often simplified in typical models. We use the National Renewable Energy Laboratory's “Cost of Renewable Energy Spreadsheet Tool” to quantify uncertainty of three soft cost inputs and their influence on the output cost of energy using variance-based sensitivity indices. We then suggest how the development process and model can be redesigned to represent the complexities of this socio-technical system.

Techno-Economic Evaluation of Stand-alone Hybrid Renewable Energy System for Remote Village Using HOMER-Pro Software

2017 ◽  
Vol 6 (2) ◽  
pp. 74 ◽  
Author(s):  
Ajoya Kumar Pradhan ◽  
Mahendra Kumar Mohanty ◽  
Sanjeeb Kumar Kar
Keyword(s):  
Renewable Energy ◽  
Wind Speed ◽  
Optimization Design ◽  
Unit Cost ◽  
Flow Analysis ◽  
Energy System ◽  
Hybrid Energy ◽  
Hybrid Renewable Energy System ◽  
Cost Of Energy ◽  
Hybrid Renewable Energy

The off-grid hybrid renewable energy generation system has lesser cost of energy with higher reliability when compared with solar photovoltaic (PV) or wind energy system individually. The optimization design is worked out by reducing the unit cost of energy (UCOE) for different case studies and comparing the outcomes obtained by the use of HOMER-Pro (Hybrid Optimization Model of Electric Renewable) software. The optimal cash flow analysis of hybrid energy system is based on the load patterns is discussed, solar irradiance (kW/m2) of site at proper latitude and longitude, wind speed and price of diesel, which is collected from a remote village in Khurda District, Odisha in India. Moreover, the optimization and sensitivity results of the system are find out by varying the input parameters like solar radiation, wind speed etc.

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