14 results on '"wake model"'
Search Results
2. Performance Enhancement of Proposed Namaacha Wind Farm by Minimising Losses Due to the Wake Effect: A Mozambican Case Study
- Author
-
Paxis Marques João Roque, Shyama Pada Chowdhury, and Zhongjie Huan
- Subjects
wind energy ,wake effect ,wake model ,wind turbine performance ,Technology - Abstract
District of Namaacha in Maputo Province of Mozambique presents a high wind potential, with an average wind speed of around 7.5 m/s and huge open fields that are favourable to the installation of wind farms. However, in order to make better use of the wind potential, it is necessary to evaluate the operating conditions of the turbines and guide the independent power producers (IPPs) on how to efficiently use wind power. The investigation of the wind farm operating conditions is justified by the fact that the implementation of wind power systems is quite expensive, and therefore, it is imperative to find alternatives to reduce power losses and improve energy production. Taking into account the power needs in Mozambique, this project applied hybrid optimisation of multiple energy resources (HOMER) to size the capacity of the wind farm and the number of turbines that guarantee an adequate supply of power. Moreover, considering the topographic conditions of the site and the operational parameters of the turbines, the system advisor model (SAM) was applied to evaluate the performance of the Vestas V82-1.65 horizontal axis turbines and the system’s power output as a result of the wake effect. For any wind farm, it is evident that wind turbines’ wake effects significantly reduce the performance of wind farms. The paper seeks to design and examine the proper layout for practical placements of wind generators. Firstly, a survey on the Namaacha’s electricity demand was carried out in order to obtain the district’s daily load profile required to size the wind farm’s capacity. Secondly, with the previous knowledge that the operation of wind farms is affected by wake losses, different wake effect models applied by SAM were examined and the Eddy–Viscosity model was selected to perform the analysis. Three distinct layouts result from SAM optimisation, and the best one is recommended for wind turbines installation for maximising wind to energy generation. Although it is understood that the wake effect occurs on any wind farm, it is observed that wake losses can be minimised through the proper design of the wind generators’ placement layout. Therefore, any wind farm project should, from its layout, examine the optimal wind farm arrangement, which will depend on the wind speed, wind direction, turbine hub height, and other topographical characteristics of the area. In that context, considering the topographic and climate features of Mozambique, the study brings novelty in the way wind farms should be placed in the district and wake losses minimised. The study is based on a real assumption that the project can be implemented in the district, and thus, considering the wind farm’s capacity, the district’s energy needs could be met. The optimal transversal and longitudinal distances between turbines recommended are 8Do and 10Do, respectively, arranged according to layout 1, with wake losses of about 1.7%, land utilisation of about 6.46 Km2, and power output estimated at 71.844 GWh per year.
- Published
- 2021
- Full Text
- View/download PDF
3. Assessment and Nonlinear Modeling of Wave, Tidal and Wind Energy Converters and Turbines.
- Author
-
Karimirad, Madjid, Collu, Maurizio, and Karimirad, Madjid
- Subjects
History of engineering & technology ,10 MW wind turbines ,AFWT ,ANSYS CFX ,Extreme Learning Machine (ELM) ,FOWT ,Kirsten-Boeing ,OWC ,Tensorflow ,air compressibility ,air turbine ,blade back twist ,blade flapwise moment ,caisson breakwater application ,cylinder wake ,dynamic analysis ,energy converter ,energy harnessing ,fatigue life assessment ,flexible power cables ,floating offshore wind turbine ,floating offshore wind turbine (FOWT) ,floating offshore wind turbines ,flow-induced oscillations ,flow-structure interaction ,flower pollination algorithm (FPA) ,frequency domain model ,hill-climbing method ,hydrodynamics ,inclined columns ,integral length scales ,large floating platform ,large-eddy simulation (LES) ,maximum power point tracking (MPPT) ,metamodeling ,multi-segmented mooring line ,negative damping ,neural nets ,off-shore wind farms (OSWFs) ,optimization ,oscillating water column ,parametric study ,pitch-to-stall ,platform optimization ,point-absorbing ,power take-off (PTO) ,semi-submersible ,semisubmersible platform ,site assessment ,tank testing ,tidal energy ,tower axial fatigue life ,tower fore-aft moments ,turbulence ,valves ,vertical axis turbine ,vortex shedding ,vortex-induced vibration ,wake model ,wave energy ,wave energy converter (WEC) ,wave power converting system ,wave-current interaction ,wave-to-wire model ,wave-turbulence decomposition ,wind energy ,wind power (WP) ,wind turbine (WT) - Abstract
Summary: The Special Issue "Assessment and Nonlinear Modeling of Wave, Tidal, and Wind Energy Converters and Turbines" contributes original research to stimulate the continuing progress of the offshore renewable energy (ORE) field, with a focus on state-of-the-art numerical approaches developed for the design and analysis of ORE devices. Particularly, this collection provides new methodologies, analytical/numerical tools, and theoretical methods that deal with engineering problems in the ORE field of wave, wind, and current structures. This Special Issue covers a wide range of multidisciplinary aspects, such as the 1) study of generalized interaction wake model systems with elm variation for offshore wind farms; 2) a flower pollination method based on global maximum power point tracking strategy for point-absorbing type wave energy converters; 3) performance optimization of a Kirsten-Boeing turbine using a metamodel based on neural networks coupled with CFD; 4) proposal of a novel semi-submersible floating wind turbine platform composed of inclined columns and multi-segmented mooring lines; 5) reduction of tower fatigue through blade back twist and active pitch-to-stall control strategy for a semi-submersible floating offshore wind turbine; 6) assessment of primary energy conversion of a closed-circuit OWC wave energy converter; 7) development and validation of a wave-to-wire model for two types of OWC wave energy converters; 8) assessment of a hydrokinetic energy converter based on vortex-induced angular oscillations of a cylinder; 9) application of wave-turbulence decomposition methods on a tidal energy site assessment; 10) parametric study for an oscillating water column wave energy conversion system installed on a breakwater; 11) optimal dimensions of a semisubmersible floating platform for a 10 MW wind turbine; 12) fatigue life assessment for power cables floating in offshore wind turbines.
4. Improving the FLORIS wind plant model for compatibility with gradient-based optimization.
- Author
-
Thomas, Jared J., Gebraad, Pieter MO, and Ning, Andrew
- Subjects
WIND turbines ,WIND power plants ,PARAMETRIC modeling ,MATHEMATICAL optimization ,CURVATURE - Abstract
The FLORIS (FLOw Redirection and Induction in Steady-state) model, a parametric wind turbine wake model that predicts steady-state wake characteristics based on wind turbine position and yaw angle, was developed for optimization of control settings and turbine locations. This article provides details on changes made to the FLORIS model to make the model more suitable for gradient-based optimization. Changes to the FLORIS model were made to remove discontinuities and add curvature to regions of non-physical zero gradient. Exact gradients for the FLORIS model were obtained using algorithmic differentiation. A set of three case studies demonstrate that using exact gradients with gradient-based optimization reduces the number of function calls by several orders of magnitude. The case studies also show that adding curvature improves convergence behavior, allowing gradient-based optimization algorithms used with the FLORIS model to more reliably find better solutions to wind farm optimization problems. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
5. Performance Enhancement of Proposed Namaacha Wind Farm by Minimising Losses Due to the Wake Effect: A Mozambican Case Study
- Author
-
Shyama P. Chowdhury, Paxis Marques João Roque, and Zhongjie Huan
- Subjects
Technology ,Control and Optimization ,020209 energy ,wind turbine performance ,Energy Engineering and Power Technology ,Context (language use) ,02 engineering and technology ,Wake ,Load profile ,Turbine ,Wind speed ,0202 electrical engineering, electronic engineering, information engineering ,wind energy ,Electrical and Electronic Engineering ,wake effect ,Engineering (miscellaneous) ,Wind power ,Renewable Energy, Sustainability and the Environment ,business.industry ,Wind direction ,021001 nanoscience & nanotechnology ,Electricity generation ,Environmental science ,wake model ,0210 nano-technology ,business ,Energy (miscellaneous) ,Marine engineering - Abstract
District of Namaacha in Maputo Province of Mozambique presents a high wind potential, with an average wind speed of around 7.5 m/s and huge open fields that are favourable to the installation of wind farms. However, in order to make better use of the wind potential, it is necessary to evaluate the operating conditions of the turbines and guide the independent power producers (IPPs) on how to efficiently use wind power. The investigation of the wind farm operating conditions is justified by the fact that the implementation of wind power systems is quite expensive, and therefore, it is imperative to find alternatives to reduce power losses and improve energy production. Taking into account the power needs in Mozambique, this project applied hybrid optimisation of multiple energy resources (HOMER) to size the capacity of the wind farm and the number of turbines that guarantee an adequate supply of power. Moreover, considering the topographic conditions of the site and the operational parameters of the turbines, the system advisor model (SAM) was applied to evaluate the performance of the Vestas V82-1.65 horizontal axis turbines and the system’s power output as a result of the wake effect. For any wind farm, it is evident that wind turbines’ wake effects significantly reduce the performance of wind farms. The paper seeks to design and examine the proper layout for practical placements of wind generators. Firstly, a survey on the Namaacha’s electricity demand was carried out in order to obtain the district’s daily load profile required to size the wind farm’s capacity. Secondly, with the previous knowledge that the operation of wind farms is affected by wake losses, different wake effect models applied by SAM were examined and the Eddy–Viscosity model was selected to perform the analysis. Three distinct layouts result from SAM optimisation, and the best one is recommended for wind turbines installation for maximising wind to energy generation. Although it is understood that the wake effect occurs on any wind farm, it is observed that wake losses can be minimised through the proper design of the wind generators’ placement layout. Therefore, any wind farm project should, from its layout, examine the optimal wind farm arrangement, which will depend on the wind speed, wind direction, turbine hub height, and other topographical characteristics of the area. In that context, considering the topographic and climate features of Mozambique, the study brings novelty in the way wind farms should be placed in the district and wake losses minimised. The study is based on a real assumption that the project can be implemented in the district, and thus, considering the wind farm’s capacity, the district’s energy needs could be met. The optimal transversal and longitudinal distances between turbines recommended are 8Do and 10Do, respectively, arranged according to layout 1, with wake losses of about 1.7%, land utilisation of about 6.46 Km2, and power output estimated at 71.844 GWh per year.
- Published
- 2021
- Full Text
- View/download PDF
6. Wind wake influence estimation on energy production of wind farm by adaptive neuro-fuzzy methodology.
- Author
-
Nikolić, Vlastimir, Shamshirband, Shahaboddin, Petković, Dalibor, Mohammadi, Kasra, Ćojbašić, Žarko, Altameem, Torki A., and Gani, Abdullah
- Subjects
- *
WIND power plants , *ENERGY industries , *ADAPTIVE fuzzy control , *WIND turbines , *PEARSON correlation (Statistics) , *STANDARD deviations - Abstract
Dissection of the power output in a row of working turbines and the reliance on wind course in respect to the column heading is examined. The point is to portray the extent of the wake impacts and give a sign of the indication of wind bearing. The target is to delineate whether the uniting of wakes inside extensive wind homesteads can be depicted by basic direct models or whether the consideration of the two-route collaboration between the wind turbines and the limit layer is a fundamental essential for precise models of wakes to be utilized within future wind farm plan. Soft computing methodologies may be utilized as substitute for analytical approach since they provides some benefits such as no need to information of internal system parameters, compact solution for multi-variable problems. This investigation dealt with application of ANFIS (adaptive neuro-fuzzy inference system) for predicting the wake power and wind speed deficit. To provide statistical analysis, RMSE (root mean square error), coefficient of determination ( R 2 ) and Pearson coefficient ( r ) were utilized. The study results suggested that ANFIS would be an efficient soft computing methodology to offer precise predictions of wake wind speed deficit and power deficit ratio in wind farms. According to the achieved results, the best prediction was observed for free wind speed of 8 m/s. The RMSE, R 2 and r were computed as 0.0763, 0.9893 and 0.9946 for ANFIS prediction of wake wind speed deficit and as 0.0128, 0.9967 and 0.9984 for ANFIS prediction of power deficit ratio. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF
7. An appraisal of wind turbine wake models by adaptive neuro-fuzzy methodology.
- Author
-
Shamshirband, Shahaboddin, Petković, Dalibor, Hashim, Roslan, Motamedi, Shervin, and Anuar, Nor Badrul
- Subjects
- *
WIND turbines , *FUZZY logic , *WIND power plants , *WIND speed , *WAKES (Aerodynamics) , *ARTIFICIAL neural networks - Abstract
Production losses and increased turbine loadings are observed in wind farms, when wind turbines interact with each other. If a wind turbine is located in the wake of another one, its incoming flow is disturbed, slowed down, and its potential wind power is decreased. It is therefore necessary to study the wind turbine wakes and their interactions. It is important to consider these wake effects in the design of a wind farm in order to maximize the energy output and lifetime of the machines. The exact modeling of the wind speed distribution within a wind park is a fairly complicated task and many of the necessary parameters are not routinely available. A large number of studies have been established concerning the calculation of wake effect. Even though a number of mathematical functions have been proposed, there are still disadvantages of the models like very demanding in terms of calculation time. Artificial neural networks (ANN) can be used as alternative to analytical approach as ANN offers advantages such as no required knowledge of internal system parameters, compact solution for multi-variable problems and fast calculation. In this investigation adaptive neuro-fuzzy inference system (ANFIS), which is a specific type of the ANN family, was used to predict the wake power deficit. Neural network in ANFIS adjusts parameters of membership function in the fuzzy logic of the fuzzy inference system (FIS). This intelligent algorithm is implemented using Matlab/Simulink and the performances are investigated. The simulation results presented in this paper show the effectiveness of the developed method. [ABSTRACT FROM AUTHOR]
- Published
- 2014
- Full Text
- View/download PDF
8. Comparative study of the power production and noise emissions impact from two wind farms
- Author
-
Chourpouliadis, Christos, Ioannou, Eleni, Koras, Andreas, and Kalfas, Anestis I.
- Subjects
- *
ELECTRIC power production , *WIND power plants , *COMPARATIVE studies , *CLIMATOLOGY , *POWER resources , *NOISE pollution , *ENERGY conversion - Abstract
Abstract: This paper is founded on a statistical wind data analysis for two interconnected wind farms in Greece. Specifically, after the acquisition of a representative set of climatology data by two meteorological masts installed in two different mountainous regions, an annual power output prediction is carried out in order to estimate the performance and viability of the selected wind turbines in the parks. Two alternative power output simulation models are used; one empirical and one computational, the results of which are examined in a comparative manner. Furthermore, a wake losses’ estimation is performed via the application of two different wake models, while a simple noise emission impact analysis is implemented. The study ends with a brief financial assessment of the two wind energy projects. The main outcome of the energy calculations is that the empirical numerical tool underestimates the total annual energy production of the two wind farms as well as their capacity factors. The wake models’ comparative overview indicates a low percentage of wake losses for both the wind parks, which ensures the maximum power yield achievement. Finally, the results of the noise emission analysis prove that the turbines’ predicted noise signals fall within the limits of recent regulation protocols. [Copyright &y& Elsevier]
- Published
- 2012
- Full Text
- View/download PDF
9. Unrestricted wind farm layout optimization (UWFLO): Investigating key factors influencing the maximum power generation
- Author
-
Chowdhury, Souma, Zhang, Jie, Messac, Achille, and Castillo, Luciano
- Subjects
- *
WIND power plants , *FARM layout , *PARTICLE swarm optimization , *TURBINES , *ELECTRIC power production , *WIND tunnels , *PROBLEM solving , *ROTORS - Abstract
Abstract: A new methodology, the Unrestricted Wind Farm Layout Optimization (UWFLO), that addresses critical aspects of optimal wind farm planning is presented in this paper. This methodology simultaneously determines the optimum farm layout and the appropriate selection of turbines (in terms of their rotor diameters) that maximizes the net power generation. The farm layout model obviates traditional restrictions imposed on the location of turbines. A standard analytical wake model has been used to account for the velocity deficits in the wakes created by individual turbines. The wind farm power generation model is validated against data from a wind tunnel experiment on a scaled down wind farm. Reasonable agreement between the model and experimental results is obtained. The complex nonlinear optimization problem presented by the wind farm model is effectively solved using constrained Particle Swarm Optimization (PSO). It is found that an optimal combination of wind turbines with differing rotor diameters can appreciably improve the farm efficiency. A preliminary wind farm cost analysis is performed to express the cost in terms of the turbine rotor diameters and the number of turbines in the farm. Subsequent exploration of the influences of (i) the number of turbines, and (ii) the farm land size, on the cost per Kilowatt of power produced, yields important observations. [Copyright &y& Elsevier]
- Published
- 2012
- Full Text
- View/download PDF
10. 1.20_Schlez: Validation and Verification of Models of the Waked Flow of a Large Wind Farm
- Author
-
Schlez, Wolfgang, Bradstock, Philip, Schmidt, Sascha, and Cabezón, Daniel
- Subjects
validation ,wind farm ,wind energy ,wake model ,WakeBlaster - Abstract
A case study is presented, in which the authors compare several models against yet unpublished data from a large wind farm. The wind farm is in mostly flat and open farmland, with some settlements. Ten-minute SCADA data collected over three years has been filtered, cleaned, and processed, to be represented as flow cases. For each wind direction and wind speed the resulting observed power average, the standard deviation and min./max., and the number of underlying data points are presented. A range of different commercial models is used. These are implemented in the packages WindFarmer, WindPro, OpenWind, WAsP, and WakeBlaster. This case study shows that, if operated by an experienced engineer, the commercial models agree well with each other and with the corresponding data, overall. In the model verification, the differences between the models are highlighted and explored what differentiates them from one another. In the validation, the model results are compared for critical scenarios with the production data.
- Published
- 2019
- Full Text
- View/download PDF
11. An International Framework for Multi-Scale Modeling and Validation
- Author
-
Rodrigo, Javier Sanz
- Subjects
atmospheric boundary layer ,benchmark ,wind energy ,wake model ,Wakebench - Abstract
Presentation at the Wind EnergyScience Conference in Cork, Ireland. The "Wakebench" framework for the evaluation of wind farm flow models is presented. This IEA-Wind Task gathers an international forum of researchers to define best practices for model evaluation through model intercomparison benchmarks. The modeling scope spans multi-scale models dealing with the atmospheric boundary layer, to predict wind conditions for site suitability assessment and numerical site calibration, as well as wind farm wake effects for the assessment of array efficiency and loads in connection to wind farm design. An overview of current activities is presented. 
- Published
- 2019
- Full Text
- View/download PDF
12. Performance Enhancement of Proposed Namaacha Wind Farm by Minimising Losses Due to the Wake Effect: A Mozambican Case Study.
- Author
-
Roque, Paxis Marques João, Chowdhury, Shyama Pada, and Huan, Zhongjie
- Subjects
- *
WIND power plants , *OFFSHORE wind power plants , *INDEPENDENT power producers , *WIND power , *POWER resources , *WIND turbines , *ELECTRIC power consumption - Abstract
District of Namaacha in Maputo Province of Mozambique presents a high wind potential, with an average wind speed of around 7.5 m/s and huge open fields that are favourable to the installation of wind farms. However, in order to make better use of the wind potential, it is necessary to evaluate the operating conditions of the turbines and guide the independent power producers (IPPs) on how to efficiently use wind power. The investigation of the wind farm operating conditions is justified by the fact that the implementation of wind power systems is quite expensive, and therefore, it is imperative to find alternatives to reduce power losses and improve energy production. Taking into account the power needs in Mozambique, this project applied hybrid optimisation of multiple energy resources (HOMER) to size the capacity of the wind farm and the number of turbines that guarantee an adequate supply of power. Moreover, considering the topographic conditions of the site and the operational parameters of the turbines, the system advisor model (SAM) was applied to evaluate the performance of the Vestas V82-1.65 horizontal axis turbines and the system's power output as a result of the wake effect. For any wind farm, it is evident that wind turbines' wake effects significantly reduce the performance of wind farms. The paper seeks to design and examine the proper layout for practical placements of wind generators. Firstly, a survey on the Namaacha's electricity demand was carried out in order to obtain the district's daily load profile required to size the wind farm's capacity. Secondly, with the previous knowledge that the operation of wind farms is affected by wake losses, different wake effect models applied by SAM were examined and the Eddy–Viscosity model was selected to perform the analysis. Three distinct layouts result from SAM optimisation, and the best one is recommended for wind turbines installation for maximising wind to energy generation. Although it is understood that the wake effect occurs on any wind farm, it is observed that wake losses can be minimised through the proper design of the wind generators' placement layout. Therefore, any wind farm project should, from its layout, examine the optimal wind farm arrangement, which will depend on the wind speed, wind direction, turbine hub height, and other topographical characteristics of the area. In that context, considering the topographic and climate features of Mozambique, the study brings novelty in the way wind farms should be placed in the district and wake losses minimised. The study is based on a real assumption that the project can be implemented in the district, and thus, considering the wind farm's capacity, the district's energy needs could be met. The optimal transversal and longitudinal distances between turbines recommended are 8Do and 10Do, respectively, arranged according to layout 1, with wake losses of about 1.7%, land utilisation of about 6.46 Km2, and power output estimated at 71.844 GWh per year. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
13. Wind Farm Layout Optimization (WindFLO) : An advanced framework for fast wind farm analysis and optimization.
- Author
-
Reddy, Sohail R.
- Subjects
- *
WIND power plants , *OFFSHORE wind power plants , *CONVEX surfaces , *WIND tunnels , *WIND speed , *WIND turbines - Abstract
• A parallel framework for wind farm optimization is developed using six wake models. • Framework accounts for terrain elevation and wake-terrain interaction. • Four turbine specific cost models are developed. • Wind farm area model is developed as the area of convex hull. • Optimization of a realistic wind farm is performed for maximum power generation. A new framework for Wind Farm Layout Optimization (WindFLO) is developed to accelerate the design of wind farms. The framework provides a large set of analytical wake models and wake superposition schemes. It is able to take into account terrain elevation and the ambient wind velocity profile. The schemes in the WindFLO model were validated against experimental data from a wind tunnel to within 1% relative error. A turbine rotor diameter and height dependent cost model was also developed using data from 250 different wind turbines. A land usage model was also developed using the convex hull approach. The framework was used to optimize a wind farm layout for maximum annual energy production using real wind farm terrain and conditions. The nonlinear optimization problem was solved using a robust Single-Objective Hybrid Optimizer. The wind farm layout and wind turbine (rotor diameter and tower height) were optimized and resulted in increased annual energy production, reduced cost and reduced land usage. The WindFLO framework is made publicly available to accelerate and advance the techniques for wind farm optimization. 1 1 WindFLO can be downloaded from https://github.com/sohailrreddy/WindFLO. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
14. A Continuously Differentiable Turbine Layout Optimization Model for Offshore Wind Farms
- Author
-
Arne Klein
- Subjects
Engineering ,non-linear optimization ,Wind power ,business.industry ,020209 energy ,Computation ,Control engineering ,02 engineering and technology ,Wake ,Turbine ,Power law ,Power (physics) ,Set (abstract data type) ,Offshore wind power ,Energy(all) ,0202 electrical engineering, electronic engineering, information engineering ,wind energy ,wake model ,business ,Marine engineering ,turbine layout - Abstract
This article presents a continuously differentiable modification of the commonly used Jensen wake model. This property is con- served in the wake combination model and, by formulating the turbine's power curve as a set of constraints, also in the computation of a turbine's power output. The resulting objective function, maximizing the total power production, and optimizing the turbine positions, is thus continuously differentiable, and gradient based solution methods can be applied. Numerical experiments are conducted with simulated wind data of six offshore wind farm locations.
- Full Text
- View/download PDF
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