Pub Date : 2023-04-01DOI: 10.1177/0309524X231165480
S. Tounsi
This paper presents an average model based on justified simplifications dedicated to the design and optimization of wind energy systems. Indeed, the classic models of wind energy systems are complex and their use is not efficient for the optimal design of the components of the power chain given the complexity, the significant time of resolution and the strong correlation of the physical parameters of these models. For these reasons, a model based on the theory of average values with reduced simulation time of a wind turbine structure is developed. This model is validated against the classic model of the wind chain using the SimPowerSystem library of power component models integrated under the Matlab-Simulink simulation environment.
{"title":"Average model of wind energy system dedicated to optimal design of the global system","authors":"S. Tounsi","doi":"10.1177/0309524X231165480","DOIUrl":"https://doi.org/10.1177/0309524X231165480","url":null,"abstract":"This paper presents an average model based on justified simplifications dedicated to the design and optimization of wind energy systems. Indeed, the classic models of wind energy systems are complex and their use is not efficient for the optimal design of the components of the power chain given the complexity, the significant time of resolution and the strong correlation of the physical parameters of these models. For these reasons, a model based on the theory of average values with reduced simulation time of a wind turbine structure is developed. This model is validated against the classic model of the wind chain using the SimPowerSystem library of power component models integrated under the Matlab-Simulink simulation environment.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78238445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-01DOI: 10.1177/0309524X231165484
Md Imran Hasan Tusar, B. Sarker
Offshore wind turbines can capture more wind than onshore because of their larger structure and location. This higher yield even fails to reduce the high installation and maintenance cost of an offshore wind farm (OWF). Appropriate turbine parameters and installation site selection may maximize the power generation which is a way to trade off these costs. Knowing the wind thrust force, air density, and power coefficient beforehand can help select an appropriate site for turbine location. Once the site is selected, the optimal value of turbine variables such as height and radius can contribute to higher power yield. In this paper, a MINLP (Mixed Integer Non-Linear Programing) model is formulated with these important variables and the optimal values of these variables are determined to maximize the annual power production ( E prod ) from offshore wind farm. The estimated power production, E prod , is calculated using two methods, mathematical programing method and simulation method. Computational result indicates that mathematical programing method is time consuming but more accurate whereas the accuracy of simulation method is proportional to the number of iterations. Although the result of a simulation can be improved to some extent, it cannot be as accurate as mathematical modeling for this study. These study results have great impact on the managerial decision and long range strategic and technical planning for maximizing power generation from an offshore wind farm.
{"title":"Location and turbine parameter selection for offshore wind power maximization","authors":"Md Imran Hasan Tusar, B. Sarker","doi":"10.1177/0309524X231165484","DOIUrl":"https://doi.org/10.1177/0309524X231165484","url":null,"abstract":"Offshore wind turbines can capture more wind than onshore because of their larger structure and location. This higher yield even fails to reduce the high installation and maintenance cost of an offshore wind farm (OWF). Appropriate turbine parameters and installation site selection may maximize the power generation which is a way to trade off these costs. Knowing the wind thrust force, air density, and power coefficient beforehand can help select an appropriate site for turbine location. Once the site is selected, the optimal value of turbine variables such as height and radius can contribute to higher power yield. In this paper, a MINLP (Mixed Integer Non-Linear Programing) model is formulated with these important variables and the optimal values of these variables are determined to maximize the annual power production ( E prod ) from offshore wind farm. The estimated power production, E prod , is calculated using two methods, mathematical programing method and simulation method. Computational result indicates that mathematical programing method is time consuming but more accurate whereas the accuracy of simulation method is proportional to the number of iterations. Although the result of a simulation can be improved to some extent, it cannot be as accurate as mathematical modeling for this study. These study results have great impact on the managerial decision and long range strategic and technical planning for maximizing power generation from an offshore wind farm.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81376670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-29DOI: 10.1177/0309524X231163823
Cheng Zhong, Husai Wang, Zhifu Jiang, Dechi Tian
This paper proposed a unified active power optimization control of wind farms under wake effect. It takes the sum of the kinetic energy variation and pitch angle variation as the optimization objective and used the particle swarm algorithm to achieve the optimization results. The main feature of the proposed method is that it unifies the kinetic energy optimization under a low wind speed area, the pitch angle and kinetic energy trade-off optimization under a medium wind speed area, and the pitch angle optimization under a high wind speed area. Combined with the de-loaded power constraint, it can flexibly reach various optimal operating states of the wind farm. The simulation results show that the proposed method optimizes the rotor speed and pitch angle in different wind speed areas, and releases kinetic energy and/or increases the output power of the wind farm to provide frequency support by switching the operating states.
{"title":"A unified optimization control of wind farms considering wake effect for grid frequency support","authors":"Cheng Zhong, Husai Wang, Zhifu Jiang, Dechi Tian","doi":"10.1177/0309524X231163823","DOIUrl":"https://doi.org/10.1177/0309524X231163823","url":null,"abstract":"This paper proposed a unified active power optimization control of wind farms under wake effect. It takes the sum of the kinetic energy variation and pitch angle variation as the optimization objective and used the particle swarm algorithm to achieve the optimization results. The main feature of the proposed method is that it unifies the kinetic energy optimization under a low wind speed area, the pitch angle and kinetic energy trade-off optimization under a medium wind speed area, and the pitch angle optimization under a high wind speed area. Combined with the de-loaded power constraint, it can flexibly reach various optimal operating states of the wind farm. The simulation results show that the proposed method optimizes the rotor speed and pitch angle in different wind speed areas, and releases kinetic energy and/or increases the output power of the wind farm to provide frequency support by switching the operating states.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86931695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-29DOI: 10.1177/0309524X231163825
S. Mozafari, K. Dykes, J. Rinker, P. Veers
The variability of the wind turbine loads complicates fatigue assessment in the design phase, as performing simulations covering the entire lifetime is computationally expensive. The current work provides important information for assessing the uncertainty in fatigue damage estimation due to finite data. We study the sample size effect on mean, variance, and skewness of damage in each wind bin, identify the important wind bins, and study the uncertainty propagation from each wind bin to the lifetime damage using 3600 aeroelastic simulations and bootstrapping. To achieve less than 1% error in the damage estimation across all load channels in the current case study, at least 100 turbulence seeds are needed. Damage in different wind bins follows a lognormal distribution when using the conventional approach of six seeds. The provided insights and information allow the designer to achieve a specific level of accuracy for a given computational cost using strategic bin sampling.
{"title":"Effects of finite sampling on fatigue damage estimation of wind turbine components: A statistical study","authors":"S. Mozafari, K. Dykes, J. Rinker, P. Veers","doi":"10.1177/0309524X231163825","DOIUrl":"https://doi.org/10.1177/0309524X231163825","url":null,"abstract":"The variability of the wind turbine loads complicates fatigue assessment in the design phase, as performing simulations covering the entire lifetime is computationally expensive. The current work provides important information for assessing the uncertainty in fatigue damage estimation due to finite data. We study the sample size effect on mean, variance, and skewness of damage in each wind bin, identify the important wind bins, and study the uncertainty propagation from each wind bin to the lifetime damage using 3600 aeroelastic simulations and bootstrapping. To achieve less than 1% error in the damage estimation across all load channels in the current case study, at least 100 turbulence seeds are needed. Damage in different wind bins follows a lognormal distribution when using the conventional approach of six seeds. The provided insights and information allow the designer to achieve a specific level of accuracy for a given computational cost using strategic bin sampling.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82649539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-25DOI: 10.1177/0309524X231158707
L. Saihi, B. Berbaoui, F. Ferroudji, Y. Bakou, Elhassen Benfriha
The current study proposed a robust sensor-less sliding mode second-order based on a super twisting algorithm (STA-SMSO) approach using a new observer Model Reference Adaptive System-Adaptative Neuro-Fuzzy Inference System (MRAS-ANFIS). This model was applied to a doubly fed induction generator (DFIG) wind turbine running under variable wind speed and DFIG fed with a power voltage source without a speed sensor, while the control objective was used to regulate independently, the active and reactive power DFIG stator were decoupled by using the field-oriented control technique. Additionally, this process reduced the cost of the control scheme and the size of DFIG by eliminating the speed sensor (encoder). In order to improve the traditional MRAS, the MRAS-ANFIS observer was proposed to replace the usual PI controller in the adaptation mechanism of MRAS with an Adaptative Neuro-Fuzzy Inference System (ANFIS) controller. The estimation of rotor position was tested and discussed under varying load conditions in low, zero, and high-speed region. The results mentioned that the proposed observer (MRAS-ANFIS) presented an attractive feature, such as guarantees finite time convergence, good response on speed wind variations, high robustness against machine parameter variations, and load variations compared to the conventional MRAS observer and MRAS-Fuzzy. Hence, the estimated rotor speed converged to their actual value has the capacity for estimating position in deferent region (low/zero/high) of speed.
{"title":"Robust sensor-less sliding mode of second-order control of doubly fed induction generators in variable speed wind turbine systems based on a novel MRAS-ANFIS observer","authors":"L. Saihi, B. Berbaoui, F. Ferroudji, Y. Bakou, Elhassen Benfriha","doi":"10.1177/0309524X231158707","DOIUrl":"https://doi.org/10.1177/0309524X231158707","url":null,"abstract":"The current study proposed a robust sensor-less sliding mode second-order based on a super twisting algorithm (STA-SMSO) approach using a new observer Model Reference Adaptive System-Adaptative Neuro-Fuzzy Inference System (MRAS-ANFIS). This model was applied to a doubly fed induction generator (DFIG) wind turbine running under variable wind speed and DFIG fed with a power voltage source without a speed sensor, while the control objective was used to regulate independently, the active and reactive power DFIG stator were decoupled by using the field-oriented control technique. Additionally, this process reduced the cost of the control scheme and the size of DFIG by eliminating the speed sensor (encoder). In order to improve the traditional MRAS, the MRAS-ANFIS observer was proposed to replace the usual PI controller in the adaptation mechanism of MRAS with an Adaptative Neuro-Fuzzy Inference System (ANFIS) controller. The estimation of rotor position was tested and discussed under varying load conditions in low, zero, and high-speed region. The results mentioned that the proposed observer (MRAS-ANFIS) presented an attractive feature, such as guarantees finite time convergence, good response on speed wind variations, high robustness against machine parameter variations, and load variations compared to the conventional MRAS observer and MRAS-Fuzzy. Hence, the estimated rotor speed converged to their actual value has the capacity for estimating position in deferent region (low/zero/high) of speed.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88705106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-17DOI: 10.1177/0309524X231154841
Anupam Kumar, Arun Rathore, S. Singh, A. H. Bhat
In this paper an islanded microgrid fed through the wind and solar energy resources is presented. The power flow within the microgrid is controlled using a Neutral Point Clamped Dual Active Bridge (NPC-DAB) converter. In the proposed dc microgrid, the solar energy source is associated at the low voltage (LV) bus and the wind energy source is connected at the high voltage (HV) bus. A permanent magnet synchronous generator (PMSG) machine is used in wind energy conversion system. The real time solar radiation and wind speed data of Rupangarh, Rajasthan, India is used as an input for renewable energy resource. The NPC-DAB will work as a power electronics juncture for expediting the energy exchange in the islanded DC Microgrid. The proposed closed loop controller based on the capacitor voltage and load voltage will expedite a complete automatic operation of the islanded DC-microgrid considering various load changes. The system is studied without storage element as the automatic control of energy generation and load feeding is carried out by the NPC-DAB, also this makes the scheme cost effective. The optimum duty ratios for NPC-DAB operation are obtained and thus the increased load demand is met. The modeling of PMSG, NPC-DAB and wind energy system is discussed in details in this work. The proposed system is studied in MATLAB/Simulink environment and results are obtained for different load variations. All the wind control parameters, NPC-DAB waveforms, load waveforms are also plotted using MATLAB.
{"title":"Modeling and control of islanded DC microgrid fed by intermittent generating resources","authors":"Anupam Kumar, Arun Rathore, S. Singh, A. H. Bhat","doi":"10.1177/0309524X231154841","DOIUrl":"https://doi.org/10.1177/0309524X231154841","url":null,"abstract":"In this paper an islanded microgrid fed through the wind and solar energy resources is presented. The power flow within the microgrid is controlled using a Neutral Point Clamped Dual Active Bridge (NPC-DAB) converter. In the proposed dc microgrid, the solar energy source is associated at the low voltage (LV) bus and the wind energy source is connected at the high voltage (HV) bus. A permanent magnet synchronous generator (PMSG) machine is used in wind energy conversion system. The real time solar radiation and wind speed data of Rupangarh, Rajasthan, India is used as an input for renewable energy resource. The NPC-DAB will work as a power electronics juncture for expediting the energy exchange in the islanded DC Microgrid. The proposed closed loop controller based on the capacitor voltage and load voltage will expedite a complete automatic operation of the islanded DC-microgrid considering various load changes. The system is studied without storage element as the automatic control of energy generation and load feeding is carried out by the NPC-DAB, also this makes the scheme cost effective. The optimum duty ratios for NPC-DAB operation are obtained and thus the increased load demand is met. The modeling of PMSG, NPC-DAB and wind energy system is discussed in details in this work. The proposed system is studied in MATLAB/Simulink environment and results are obtained for different load variations. All the wind control parameters, NPC-DAB waveforms, load waveforms are also plotted using MATLAB.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83260070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-17DOI: 10.1177/0309524X231156451
Reginaldo N Silva, D. Fantini, Rafael CF Mendes, Marlos Guimarães, T. Oliveira, A. B. Brasil Junior
This work presents a new methodology to evaluate the influence of wind speed data corrections in the fit of the Weibull distribution. Corrections are made for data measured by Sonic Detection and Ranging (SODAR) and MERRA-2 base data. SODAR data are corrected through Turbulence Intensity (TI). The MERRA-2 data correction uses National Institute of Meteorology (INMET) weather station data to find a local scale factor. The results showed that the corrected data present a better fit in the Weibull distribution and evidence that corrections are necessary when wind speed averages are used to evaluate the wind resource. Wind speed data were also applied to simulate the energy production by a commercial turbine to demonstrate the contrast in the total energy generated. The new methodology shows that IT must be considered in the evaluation of wind resources.
{"title":"Assessment of wind resource considering local turbulence based on data acquisition with SODAR","authors":"Reginaldo N Silva, D. Fantini, Rafael CF Mendes, Marlos Guimarães, T. Oliveira, A. B. Brasil Junior","doi":"10.1177/0309524X231156451","DOIUrl":"https://doi.org/10.1177/0309524X231156451","url":null,"abstract":"This work presents a new methodology to evaluate the influence of wind speed data corrections in the fit of the Weibull distribution. Corrections are made for data measured by Sonic Detection and Ranging (SODAR) and MERRA-2 base data. SODAR data are corrected through Turbulence Intensity (TI). The MERRA-2 data correction uses National Institute of Meteorology (INMET) weather station data to find a local scale factor. The results showed that the corrected data present a better fit in the Weibull distribution and evidence that corrections are necessary when wind speed averages are used to evaluate the wind resource. Wind speed data were also applied to simulate the energy production by a commercial turbine to demonstrate the contrast in the total energy generated. The new methodology shows that IT must be considered in the evaluation of wind resources.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89020358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-16DOI: 10.1177/0309524X231155549
H. Boudounit, M. Tarfaoui, D. Saifaoui
In the past 30 years, wind turbine blades (WTB) have undergone significant development, increasing their size and introducing composites into manufacturing processes and using numerical simulation to assess their strength and structural integrity, helped increasing the number of installed wind turbine units as well as reducing the cost of wind generated energy. In this paper a DLoad subroutine was developed to assess monitor and evaluate the structural integrity of a large wind turbine blade under numerous static load scenarios. The fatigue study was carried using the finite element method, and the DLoad subroutine developed was used with ABAQUS finite Element analysis Software, and performed perfectly. The results show that the proposed layup parameters and the chosen composite materials gives to the wind turbine the desired structural strength. Furthermore, the DLoad subroutine for the fatigue study shows that the higher is the applied force the faster the blade fail. While, Hashin Criterion shows that the distribution of damage for the matrix and the fiber is all over the blade, but the failure only occurs after reaching an energy threshold which depends on the composite materials and the layup parameters used. Therefore, the chosen layup model will allow the wind turbine blade to withstand the extreme climatic conditions in the sea.
{"title":"Fatigue analysis of wind turbine composite blade using finite element method","authors":"H. Boudounit, M. Tarfaoui, D. Saifaoui","doi":"10.1177/0309524X231155549","DOIUrl":"https://doi.org/10.1177/0309524X231155549","url":null,"abstract":"In the past 30 years, wind turbine blades (WTB) have undergone significant development, increasing their size and introducing composites into manufacturing processes and using numerical simulation to assess their strength and structural integrity, helped increasing the number of installed wind turbine units as well as reducing the cost of wind generated energy. In this paper a DLoad subroutine was developed to assess monitor and evaluate the structural integrity of a large wind turbine blade under numerous static load scenarios. The fatigue study was carried using the finite element method, and the DLoad subroutine developed was used with ABAQUS finite Element analysis Software, and performed perfectly. The results show that the proposed layup parameters and the chosen composite materials gives to the wind turbine the desired structural strength. Furthermore, the DLoad subroutine for the fatigue study shows that the higher is the applied force the faster the blade fail. While, Hashin Criterion shows that the distribution of damage for the matrix and the fiber is all over the blade, but the failure only occurs after reaching an energy threshold which depends on the composite materials and the layup parameters used. Therefore, the chosen layup model will allow the wind turbine blade to withstand the extreme climatic conditions in the sea.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73901499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-13DOI: 10.1177/0309524X221150491
Man Mohan, N. Alom, U. Saha
The use of metropolitan wind power by small-scale wind turbines has become an emerging technique to reduce the battle among growing energy needs. However, the available technical designs are not yet adequate to develop a reliable and distributed wind energy converter for low wind speed conditions. The Savonius wind turbine rotor, or simply Savonius rotor, seems to be particularly promising for such conditions, however, it suffers from low power coefficient. The blade profile/shape is an important aspect of designing the Savonius rotor. In this context, the use of optimization techniques (OTs) along with soft-computing techniques (SCTs) can significantly help to arrive at the intended design parameters. The selection of rotor blades developed through OTs and SCTs can significantly improve the rotor performance. This review study aims to summarize the OTs and SCTs used till date in the blade design of Savonius rotors.
{"title":"Role of optimization and soft-computing techniques in the design and development of futuristic Savonius wind turbine blades: A review","authors":"Man Mohan, N. Alom, U. Saha","doi":"10.1177/0309524X221150491","DOIUrl":"https://doi.org/10.1177/0309524X221150491","url":null,"abstract":"The use of metropolitan wind power by small-scale wind turbines has become an emerging technique to reduce the battle among growing energy needs. However, the available technical designs are not yet adequate to develop a reliable and distributed wind energy converter for low wind speed conditions. The Savonius wind turbine rotor, or simply Savonius rotor, seems to be particularly promising for such conditions, however, it suffers from low power coefficient. The blade profile/shape is an important aspect of designing the Savonius rotor. In this context, the use of optimization techniques (OTs) along with soft-computing techniques (SCTs) can significantly help to arrive at the intended design parameters. The selection of rotor blades developed through OTs and SCTs can significantly improve the rotor performance. This review study aims to summarize the OTs and SCTs used till date in the blade design of Savonius rotors.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79282917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-03DOI: 10.1177/0309524X221150219
T. Uchida, K. Shibuya, Gustavo Richmond-Navarro, W. Calderón-Muñoz
In the current work we experimentally explored yawed wind turbine wake impacts on downwind wind turbine performances and wind loads. The lab-scale wind turbine model with a rotor diameter (D) of 0.442 m and a height of 1 m (=2.26D) was installed in a closed-circuit boundary layer wind tunnel (test section: 15 m long × 3.6 m wide × 2.0 m high) of the Research Institute for Applied Mechanics (RIAM) of Kyushu University. Power performance tests were initially conducted with a single rotor in isolation in order to characterize a rotor’s power output in stand-alone conditions. A detailed comparison of the tests revealed that the power output decreased rapidly as the yaw angle (γ) increased. It is presumed that the power output decrease in yawed cases is mainly due to the decrease in the effective rotor area and the change in the angle of the incoming wind flow with respect to the wind turbine blade. Next, using two wind turbine models aligned with the dominant inflow direction, the merging wakes behaviors caused by three different lateral separation distances were tested: (a) Case 1 (y = 0), (b) Case 2 (y = 0.5D), and (c) Case 3 (y = 1D). Here, the separation distance between the two wind turbine models was fixed at 6D in all cases. Extremely large power output deficits of 46%–76% were seen in the Case 1 configuration. This is mainly due to the significant wake velocity deficits induced by the upwind wind turbine model. In the Case 2 configuration with γ values of 20° and 30°, a significant increase in the power output of the downwind wind turbines was observed. Similar to Case 1 configuration, these results are considered to be mainly due to the upwind turbine-induced wake velocity deficits and wake deflection. Finally, in the Case 3 configuration, no significant difference was found in all of the results, and the tendency was almost the same. We show that the wake velocity deficits induced by the upwind wind turbine model had almost no effect on the power output of the downwind wind turbine model. We evaluated the total power output of the two turbines. As a result, in the Case 2 configuration with 20° yaw angle, the total power output of the two wind turbine models was the highest due to the increase in the power output of the downwind wind turbine model. In order to investigate the main cause of the significant increase in the power output of the downwind wind turbine model at 20° and 30° yaw angles in the Case 2 configuration, we measured the lateral wind speed distribution at the 6D position on the downwind side of the upwind wind turbine model by using the ultrasonic anemometer. As a results, it was clarified that the peak of the wake velocity deficits induced by the upwind wind turbine model is clearly shifted away from the downwind turbine such that it experiences a smaller deficit due to wake steering. Also, with wake steering the upwind turbine-induced wake velocity deficits may be smaller due to the reduction in rotor area. Finally, it is
在目前的工作中，我们实验探讨了偏航风力机尾迹对顺风风力机性能和风荷载的影响。将转子直径(D)为0.442 m，高度为1 m (=2.26D)的实验室规模风力机模型安装在九州大学应用力学研究所(RIAM)的闭环边界层风洞(试验段:长15 m ×宽3.6 m ×高2.0 m)中。功率性能测试最初是在隔离的单个转子上进行的，以表征转子在独立条件下的功率输出。试验的详细比较表明，功率输出随着偏航角(γ)的增加而迅速下降。假设偏航情况下功率输出的减少主要是由于有效转子面积的减小和来风气流相对于风力机叶片角度的变化。接下来，使用两种与主导入流方向对齐的风力机模型，测试了三种不同侧向分离距离导致的合并尾迹行为:(a) Case 1 (y = 0)， (b) Case 2 (y = 0.5D)和(c) Case 3 (y = 1D)。在这里，两个风力机模型之间的分离距离在所有情况下都固定为6D。在案例1配置中可以看到46%-76%的极大功率输出赤字。这主要是由于逆风风力机模型引起的显著尾流速度赤字。在γ值为20°和30°的Case 2配置中，观察到下风风力机的输出功率显著增加。与案例1的配置类似，这些结果被认为主要是由于迎风涡轮引起的尾流速度赤字和尾流偏转。最后，在Case 3配置中，所有结果没有发现显著差异，趋势几乎相同。结果表明，顺风模型引起的尾流速度缺陷对顺风模型的输出功率几乎没有影响。我们评估了两台涡轮机的总输出功率。因此，在20°偏航角的Case 2配置下，由于下风风力机模型的输出功率增加，两种风力机模型的总输出功率最高。为了探究Case 2配置下20°和30°偏航角下顺风风力机模型输出功率显著增加的主要原因，我们利用超声波风速仪测量了顺风风力机模型下风侧6D位置的侧向风速分布。结果表明，由逆风风力机模型引起的尾流速度赤字的峰值明显偏离了下风风力机，从而使其由于尾流转向而经历较小的赤字。此外，随着尾流转向，由于转子面积的减少，逆风涡轮诱导的尾流速度赤字可能更小。最后，了解顺风偏航风力机模型在产生最大输出功率时，在顺风偏航风力机模型诱导的尾迹区域内运行的顺风风力机模型所承受的风荷载是非常重要的。可以看出，随着上风向风力机模型偏航角的增大，下风向风力机模型的输出功率和作用在其上的顺流风荷载也随之增大。然而，也澄清了在这种情况下作用在顺风风力机模型上的顺流风荷载没有超过单机值。
{"title":"A wind tunnel investigation of yawed wind turbine wake impacts on downwind wind turbine performances and wind loads","authors":"T. Uchida, K. Shibuya, Gustavo Richmond-Navarro, W. Calderón-Muñoz","doi":"10.1177/0309524X221150219","DOIUrl":"https://doi.org/10.1177/0309524X221150219","url":null,"abstract":"In the current work we experimentally explored yawed wind turbine wake impacts on downwind wind turbine performances and wind loads. The lab-scale wind turbine model with a rotor diameter (D) of 0.442 m and a height of 1 m (=2.26D) was installed in a closed-circuit boundary layer wind tunnel (test section: 15 m long × 3.6 m wide × 2.0 m high) of the Research Institute for Applied Mechanics (RIAM) of Kyushu University. Power performance tests were initially conducted with a single rotor in isolation in order to characterize a rotor’s power output in stand-alone conditions. A detailed comparison of the tests revealed that the power output decreased rapidly as the yaw angle (γ) increased. It is presumed that the power output decrease in yawed cases is mainly due to the decrease in the effective rotor area and the change in the angle of the incoming wind flow with respect to the wind turbine blade. Next, using two wind turbine models aligned with the dominant inflow direction, the merging wakes behaviors caused by three different lateral separation distances were tested: (a) Case 1 (y = 0), (b) Case 2 (y = 0.5D), and (c) Case 3 (y = 1D). Here, the separation distance between the two wind turbine models was fixed at 6D in all cases. Extremely large power output deficits of 46%–76% were seen in the Case 1 configuration. This is mainly due to the significant wake velocity deficits induced by the upwind wind turbine model. In the Case 2 configuration with γ values of 20° and 30°, a significant increase in the power output of the downwind wind turbines was observed. Similar to Case 1 configuration, these results are considered to be mainly due to the upwind turbine-induced wake velocity deficits and wake deflection. Finally, in the Case 3 configuration, no significant difference was found in all of the results, and the tendency was almost the same. We show that the wake velocity deficits induced by the upwind wind turbine model had almost no effect on the power output of the downwind wind turbine model. We evaluated the total power output of the two turbines. As a result, in the Case 2 configuration with 20° yaw angle, the total power output of the two wind turbine models was the highest due to the increase in the power output of the downwind wind turbine model. In order to investigate the main cause of the significant increase in the power output of the downwind wind turbine model at 20° and 30° yaw angles in the Case 2 configuration, we measured the lateral wind speed distribution at the 6D position on the downwind side of the upwind wind turbine model by using the ultrasonic anemometer. As a results, it was clarified that the peak of the wake velocity deficits induced by the upwind wind turbine model is clearly shifted away from the downwind turbine such that it experiences a smaller deficit due to wake steering. Also, with wake steering the upwind turbine-induced wake velocity deficits may be smaller due to the reduction in rotor area. Finally, it is ","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75128904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：