Pub Date : 2023-06-07DOI: 10.1177/0309524X231178793
SN Nnamchi, Z. Jagun, OA Nnamchi, MM Mundu, U. Onochie
This paper presents biharmonic modelling and simulations of surface wind flow, which identify windy locales through wind speed gradients. The bulk measured and meteosat wind speed data encapsulate the wind isotachs and wind flow gradients, which are very useful in identifying windy locales. Thus, this paper presents a biharmonic wind flow model, BWFM for the development of wind isotachs and gradients to identify locales suitable for installing solar photovoltaic power plants within the study areas. The techniques include the acquisition of wind speed data (1980–2020) from the National Aeronautic and Space Administration (NASA), development of multiple BWFM solutions (free and forced) depending on the presence and absence of forcing function, respectively. The forcing function represents the topographic and orographic features of the study areas. The spatial development of isopleth of the study areas, unveiled the isotachs. The wind speed gradients were obtained by scalar computation of 2-D wind speed gradients. Comparison of forced solution with the threshold or maximum free solution engendered the identification of windy locales. The results of the model were validated against NASA data. The average wind speed threshold isotach (2.83 m/s) and wind gradient ( 0 . 01658 10 − 3 / s ) for the study areas (All Regions) were established by scalar computation of free solution gradients. The study areas include Northern, Eastern, Central and Western Regions recorded the following maximum forced average wind speeds (2.725, 2.755, 2.875 and 1.794 m/s, respectively) and maximum wind flow gradients (insignificant, 0.03767, 0.08469 and infinitesimal 10 − 3 / s , respectively). These results are useful for identifying windy locales for installation of solar and wind facilities.
{"title":"Modelling and simulation of wind flow: A gradient method of identifying windy region","authors":"SN Nnamchi, Z. Jagun, OA Nnamchi, MM Mundu, U. Onochie","doi":"10.1177/0309524X231178793","DOIUrl":"https://doi.org/10.1177/0309524X231178793","url":null,"abstract":"This paper presents biharmonic modelling and simulations of surface wind flow, which identify windy locales through wind speed gradients. The bulk measured and meteosat wind speed data encapsulate the wind isotachs and wind flow gradients, which are very useful in identifying windy locales. Thus, this paper presents a biharmonic wind flow model, BWFM for the development of wind isotachs and gradients to identify locales suitable for installing solar photovoltaic power plants within the study areas. The techniques include the acquisition of wind speed data (1980–2020) from the National Aeronautic and Space Administration (NASA), development of multiple BWFM solutions (free and forced) depending on the presence and absence of forcing function, respectively. The forcing function represents the topographic and orographic features of the study areas. The spatial development of isopleth of the study areas, unveiled the isotachs. The wind speed gradients were obtained by scalar computation of 2-D wind speed gradients. Comparison of forced solution with the threshold or maximum free solution engendered the identification of windy locales. The results of the model were validated against NASA data. The average wind speed threshold isotach (2.83 m/s) and wind gradient ( 0 . 01658 10 − 3 / s ) for the study areas (All Regions) were established by scalar computation of free solution gradients. The study areas include Northern, Eastern, Central and Western Regions recorded the following maximum forced average wind speeds (2.725, 2.755, 2.875 and 1.794 m/s, respectively) and maximum wind flow gradients (insignificant, 0.03767, 0.08469 and infinitesimal 10 − 3 / s , respectively). These results are useful for identifying windy locales for installation of solar and wind facilities.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80503857","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 : 2023-05-06DOI: 10.1177/0309524X231173087
M. Tuka, Niguse Assefa Abebe, Fetlework Kedir Abdu
The demand for energy is increasing that can be met with Doubly Fed Induction Generator (DFIG) based Wind Energy Conversion System (WECS). In this paper, A 2 MW DFIG was used as the plant. To limit the shortcomings of a Proportional-Integral (PI) controller, Fuzzy Logic (FL), Fuzzy-PI, and Artificial Neuro-Fuzzy Inference System (ANFIS) controllers are being designed. The system is modeled in a MATLAB/Simulink. A comparative analysis of PI, Fuzzy, Fuzzy-PI, and ANFIS are presented. Taking a steady state error (SSE) as an objective function of performance index, the PI controller results with a 2.9084 A, Fuzzy with 0.8668 A, Fuzzy-PI with 7.654 A, and ANFIS, with 11.5472 A. Hence, the Fuzzy logic controller-based system is found to be the best candidate for SSE control of rotor current. An ANFIS-based controller has the best settling time for rotor currents control, whereas the Fuzzy-PI found to be best for SSE and torque control.
基于双馈感应发电机(DFIG)的风能转换系统(WECS)可以满足日益增长的能源需求。本文采用a2mw双馈发电机组作为电厂。为了限制比例积分(PI)控制器的缺点，模糊逻辑(FL)、模糊PI和人工神经模糊推理系统(ANFIS)控制器被设计出来。在MATLAB/Simulink中对系统进行了建模。对PI、Fuzzy、Fuzzy-PI和ANFIS进行了比较分析。以稳态误差(SSE)作为性能指标的目标函数，PI控制器的输出功率为2.9084 a，模糊输出功率为0.8668 a, Fuzzy-PI输出功率为7.654 a, ANFIS输出功率为11.5472 a。因此，基于模糊逻辑控制器的系统是转子电流SSE控制的最佳候选。基于anfi的控制器对转子电流控制具有最佳的稳定时间，而基于Fuzzy-PI的控制器对SSE和转矩控制具有最佳的稳定时间。
{"title":"Artificial intelligence-based controller for rotor current of doubly fed induction generator in wind turbine system","authors":"M. Tuka, Niguse Assefa Abebe, Fetlework Kedir Abdu","doi":"10.1177/0309524X231173087","DOIUrl":"https://doi.org/10.1177/0309524X231173087","url":null,"abstract":"The demand for energy is increasing that can be met with Doubly Fed Induction Generator (DFIG) based Wind Energy Conversion System (WECS). In this paper, A 2 MW DFIG was used as the plant. To limit the shortcomings of a Proportional-Integral (PI) controller, Fuzzy Logic (FL), Fuzzy-PI, and Artificial Neuro-Fuzzy Inference System (ANFIS) controllers are being designed. The system is modeled in a MATLAB/Simulink. A comparative analysis of PI, Fuzzy, Fuzzy-PI, and ANFIS are presented. Taking a steady state error (SSE) as an objective function of performance index, the PI controller results with a 2.9084 A, Fuzzy with 0.8668 A, Fuzzy-PI with 7.654 A, and ANFIS, with 11.5472 A. Hence, the Fuzzy logic controller-based system is found to be the best candidate for SSE control of rotor current. An ANFIS-based controller has the best settling time for rotor currents control, whereas the Fuzzy-PI found to be best for SSE and torque control.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89007870","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 : 2023-04-27DOI: 10.1177/0309524X231169298
Mujahid Shaik, B. Subramanian
A CFD-based assessment and validation of the NREL Phase-VI Sequence-S rotor at seven wind speeds presented here. The ability of a three-dimensional, unstructured, unsteady RANS solver in successfully predicting the wind flow interactions with a rotating, twisted and tapered rotor is described. The uRANS equations were coupled with SST κ-ω turbulence model and a correlation-based Gamma-Theta transition model. The simulations were performed in ANSYS CFX using both Single Reference Frame (SRF) and Multiple Reference Frame (MRF) modelling approaches. A good agreement with measurements is observed at six of seven wind speeds when comparing the integral quantities, the spanwise and chordwise distributions. The only exception is the 10 m/s wind speed case, attributed to the onset of a massive leading edge stall around the mid-span region. It is successfully demonstrated here how uRANS-based CFD computations can be effectively employed in the study of wind turbine rotor aerodynamics.
{"title":"Computational investigation of NREL Phase-VI rotor: Validation of test sequence-S measurements","authors":"Mujahid Shaik, B. Subramanian","doi":"10.1177/0309524X231169298","DOIUrl":"https://doi.org/10.1177/0309524X231169298","url":null,"abstract":"A CFD-based assessment and validation of the NREL Phase-VI Sequence-S rotor at seven wind speeds presented here. The ability of a three-dimensional, unstructured, unsteady RANS solver in successfully predicting the wind flow interactions with a rotating, twisted and tapered rotor is described. The uRANS equations were coupled with SST κ-ω turbulence model and a correlation-based Gamma-Theta transition model. The simulations were performed in ANSYS CFX using both Single Reference Frame (SRF) and Multiple Reference Frame (MRF) modelling approaches. A good agreement with measurements is observed at six of seven wind speeds when comparing the integral quantities, the spanwise and chordwise distributions. The only exception is the 10 m/s wind speed case, attributed to the onset of a massive leading edge stall around the mid-span region. It is successfully demonstrated here how uRANS-based CFD computations can be effectively employed in the study of wind turbine rotor aerodynamics.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75968907","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 : 2023-04-24DOI: 10.1177/0309524X231169295
A. Saini, O. P. Rahi
The optimal power flow is one of the major area in economic and efficient dispatch of electric power. This research article presents a swarm-based optimization algorithm, known as Modified Ant Lion Optimization (MALO) algorithm to solve optimal power flow (OPF) problems. A holistic approach has been used including thermal, wind, solar, and hydro power plants and results shows minimization of cost, losses, and voltage deviation that amounts for novelty of this paper. The MALO algorithm is validated on IEEE 30-bus and IEEE 57-bus systems, and the result are compared with the state-of-the-art algorithms. It is found that proposed algorithm provides better OPF solutions when compared with other mentioned algorithm namely Antlion Optimization, Graw Wolf Optimization, Salp Swarm Algorithm, and Grasshopper Optimization. The MALO algorithm is useful for electric utilities, researcher, and power system operation.
最优潮流是电力经济高效调度的重要问题之一。本文提出了一种基于群的优化算法——改进蚁狮优化算法(MALO)来解决最优潮流(OPF)问题。采用了包括热能、风能、太阳能和水力发电厂在内的整体方法，结果显示成本、损失和电压偏差最小化，这是本文的新颖性。在IEEE 30总线和IEEE 57总线系统上对MALO算法进行了验证，并与现有算法进行了比较。与Antlion Optimization、Graw Wolf Optimization、Salp Swarm algorithm、Grasshopper Optimization等算法相比，本文算法提供了更好的OPF解。MALO算法对电力公司、研究人员和电力系统运行都很有用。
{"title":"Optimal power flow analysis including stochastic renewable energy sources using modified ant lion optimization algorithm","authors":"A. Saini, O. P. Rahi","doi":"10.1177/0309524X231169295","DOIUrl":"https://doi.org/10.1177/0309524X231169295","url":null,"abstract":"The optimal power flow is one of the major area in economic and efficient dispatch of electric power. This research article presents a swarm-based optimization algorithm, known as Modified Ant Lion Optimization (MALO) algorithm to solve optimal power flow (OPF) problems. A holistic approach has been used including thermal, wind, solar, and hydro power plants and results shows minimization of cost, losses, and voltage deviation that amounts for novelty of this paper. The MALO algorithm is validated on IEEE 30-bus and IEEE 57-bus systems, and the result are compared with the state-of-the-art algorithms. It is found that proposed algorithm provides better OPF solutions when compared with other mentioned algorithm namely Antlion Optimization, Graw Wolf Optimization, Salp Swarm Algorithm, and Grasshopper Optimization. The MALO algorithm is useful for electric utilities, researcher, and power system operation.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74272283","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 : 2023-04-22DOI: 10.1177/0309524X231166859
Arun Rathore, Anupam Kumar, S. Shukla, N. P. Patidar
The main focus of this article is the optimal allocation of wind turbines, solar PV and storage in 33 bus radial distribution system. The arithmetic optimization algorithm (AOA) was employed in this work for the optimal sizing of wind turbine and solar PV units with batteries in 33 bus distribution networks. The 1 year period is divided into multiple time segments, and each time segment is evaluated independently. For each time slot solar irradiance and wind speed are generated using suitable probability distribution function. Sensitivity analysis was done to find potential buses that might be placed to reduce computation time and search space. The Backward-Forward sweep technique was used to conduct load flow analysis. For the sake of stability, a reasonable penetration level is selected. The overall energy loss is minimized by the AOA optimization method under equality and inequality constraints. The suggested technique was tested on 33 buses, and it was observed that correct sizing and placement of DG units results in a significant decrease in losses with improved voltage profile.
{"title":"Optimal Allocation of Hybrid Renewable Energy System in Distribution Network using Arithmetic Optimization Algorithm","authors":"Arun Rathore, Anupam Kumar, S. Shukla, N. P. Patidar","doi":"10.1177/0309524X231166859","DOIUrl":"https://doi.org/10.1177/0309524X231166859","url":null,"abstract":"The main focus of this article is the optimal allocation of wind turbines, solar PV and storage in 33 bus radial distribution system. The arithmetic optimization algorithm (AOA) was employed in this work for the optimal sizing of wind turbine and solar PV units with batteries in 33 bus distribution networks. The 1 year period is divided into multiple time segments, and each time segment is evaluated independently. For each time slot solar irradiance and wind speed are generated using suitable probability distribution function. Sensitivity analysis was done to find potential buses that might be placed to reduce computation time and search space. The Backward-Forward sweep technique was used to conduct load flow analysis. For the sake of stability, a reasonable penetration level is selected. The overall energy loss is minimized by the AOA optimization method under equality and inequality constraints. The suggested technique was tested on 33 buses, and it was observed that correct sizing and placement of DG units results in a significant decrease in losses with improved voltage profile.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80964001","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 : 2023-04-20DOI: 10.1177/0309524X231163826
Souhil MOUASSA, S. Makhloufi, C. Djabali, F. Jurado
This paper proposes an efficient Gorilla troops-inspired algorithm to cope optimal power flow (OPF) problem considering uncertainty of renewable energy sources (RES). The problem is formulated as large-scale constrained optimization problem with non-linear characteristics. Its degree of complexity increases with incorporation of intermittent energy sources, making it harder to be solved using conventional optimization techniques. However, could be efficiently resolved by nature-inspired optimization algorithms and solvers. The objective function is the overall cost of system, including reserve cost for over-estimation and penalty cost for under-estimation of two types of PV-solar and wind energy. To demonstrate the consistency and robustness of the developed algorithm a case study on the modified IEEE 30-bus system and and Adrar’s power network (isolated grid) is carried out. Simulation results show the capability of GTO to find high quality optimal feasible solutions and ranked first among the compared algorithms, and so, over different function landscapes.
{"title":"Optimal power flow solution based on gorilla troops optimization technique considering uncertainty of renewable energy sources: A case study of Adrar’s isolated power network","authors":"Souhil MOUASSA, S. Makhloufi, C. Djabali, F. Jurado","doi":"10.1177/0309524X231163826","DOIUrl":"https://doi.org/10.1177/0309524X231163826","url":null,"abstract":"This paper proposes an efficient Gorilla troops-inspired algorithm to cope optimal power flow (OPF) problem considering uncertainty of renewable energy sources (RES). The problem is formulated as large-scale constrained optimization problem with non-linear characteristics. Its degree of complexity increases with incorporation of intermittent energy sources, making it harder to be solved using conventional optimization techniques. However, could be efficiently resolved by nature-inspired optimization algorithms and solvers. The objective function is the overall cost of system, including reserve cost for over-estimation and penalty cost for under-estimation of two types of PV-solar and wind energy. To demonstrate the consistency and robustness of the developed algorithm a case study on the modified IEEE 30-bus system and and Adrar’s power network (isolated grid) is carried out. Simulation results show the capability of GTO to find high quality optimal feasible solutions and ranked first among the compared algorithms, and so, over different function landscapes.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82775468","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 : 2023-04-20DOI: 10.1177/0309524X231169469
Sumit Sharma, Y. Sood, S. Sushanth Kumar, Vineet Kumar, Vineet Kumar
This research article presents a technoeconomic analysis of an RET-based model for powering a hilly remote area telecom tower in Chamba district of Himachal Pradesh, India. Using the HOMER software tool with various evolutionary algorithms, the study found that the most feasible configuration was 30 kW of SP panels, 10 kW of DG units, 20 batteries, and 10 units of converter with a minimum energy cost value of 0.256 $/kWh. The energy cost values from various evolutionary techniques such as HHO, WOA, PSO, and GA were also observed to be competitive. After policy intervention and government subsidies, the cost of energy reduced to 0.167 $/kWh, which is significantly less compared to the diesel-powered system. Furthermore, sensitivity analysis was carried out for changes in solar radiations, ambient temperature, and diesel fuel prices to determine the best optimal configuration for the study.
{"title":"Renewable based techno-economic analysis for telecommunication system: A case study of western Himalaya","authors":"Sumit Sharma, Y. Sood, S. Sushanth Kumar, Vineet Kumar, Vineet Kumar","doi":"10.1177/0309524X231169469","DOIUrl":"https://doi.org/10.1177/0309524X231169469","url":null,"abstract":"This research article presents a technoeconomic analysis of an RET-based model for powering a hilly remote area telecom tower in Chamba district of Himachal Pradesh, India. Using the HOMER software tool with various evolutionary algorithms, the study found that the most feasible configuration was 30 kW of SP panels, 10 kW of DG units, 20 batteries, and 10 units of converter with a minimum energy cost value of 0.256 $/kWh. The energy cost values from various evolutionary techniques such as HHO, WOA, PSO, and GA were also observed to be competitive. After policy intervention and government subsidies, the cost of energy reduced to 0.167 $/kWh, which is significantly less compared to the diesel-powered system. Furthermore, sensitivity analysis was carried out for changes in solar radiations, ambient temperature, and diesel fuel prices to determine the best optimal configuration for the study.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88161471","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 : 2023-04-13DOI: 10.1177/0309524X231166319
Howard Fawkes
A large hub ratio in a horizontal axis wind turbine (HAWT) rotor can provide aerodynamic and structural design benefits, but the flow effects are not accounted for in the classical Blade Element Momentum Method (BEMM). Research into the effect of HAWT rotor hub ratio, necessitated development of an adaption to the BEMM, so that rotors with large hub ratios, could be designed to be aerodynamically efficient, and so that the flow effects could be included in performance prediction. Results from the BEMM with large-hub adaption were compared with results from using the classical BEMM and with results from CFD simulation. Two sets of rotors were analysed, one set in a viscous flow regime and the other in a turbulent flow regime. The BEMM with large-hub adaption, was found to provide rotor designs with better performance and provided a more accurate prediction of relative rotor power than the classical BEMM.
{"title":"A BEM theory adaption for inclusion of hub ratio effects in HAWT rotor design and analysis","authors":"Howard Fawkes","doi":"10.1177/0309524X231166319","DOIUrl":"https://doi.org/10.1177/0309524X231166319","url":null,"abstract":"A large hub ratio in a horizontal axis wind turbine (HAWT) rotor can provide aerodynamic and structural design benefits, but the flow effects are not accounted for in the classical Blade Element Momentum Method (BEMM). Research into the effect of HAWT rotor hub ratio, necessitated development of an adaption to the BEMM, so that rotors with large hub ratios, could be designed to be aerodynamically efficient, and so that the flow effects could be included in performance prediction. Results from the BEMM with large-hub adaption were compared with results from using the classical BEMM and with results from CFD simulation. Two sets of rotors were analysed, one set in a viscous flow regime and the other in a turbulent flow regime. The BEMM with large-hub adaption, was found to provide rotor designs with better performance and provided a more accurate prediction of relative rotor power than the classical BEMM.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78803957","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 : 2023-04-11DOI: 10.1177/0309524X231166852
Pinku Debnath, V. Gandhirajan
The helical Savonius rotor (HSR) is used as green energy generation. The accurate design of HSR is essential before installing any wind farm in a region. It has been widely employed that positive static torque coefficients of helical Savonius rotor are higher compared to conventional semicircular rotor stated by several researchers. The reason is behind that the formation of secondary vortex of fluid. It is leading by vertical vortex flow, which passes over the curve surface and creates drag force. Still now, various design have been proposed to meet peak power output through optimum geometry parameters like blade profile design, aspect ratio and overlap ratio. The selection of blade material is also the influencing parameter to improve the starting torque of the rotor. In this regards present paper is aim to study the details experimental, numerical, and analytical review on HSR and selection of blade material with minimum production cost.
{"title":"A comprehensive review on design and development analysis and blade material selection of helical Savonius rotor","authors":"Pinku Debnath, V. Gandhirajan","doi":"10.1177/0309524X231166852","DOIUrl":"https://doi.org/10.1177/0309524X231166852","url":null,"abstract":"The helical Savonius rotor (HSR) is used as green energy generation. The accurate design of HSR is essential before installing any wind farm in a region. It has been widely employed that positive static torque coefficients of helical Savonius rotor are higher compared to conventional semicircular rotor stated by several researchers. The reason is behind that the formation of secondary vortex of fluid. It is leading by vertical vortex flow, which passes over the curve surface and creates drag force. Still now, various design have been proposed to meet peak power output through optimum geometry parameters like blade profile design, aspect ratio and overlap ratio. The selection of blade material is also the influencing parameter to improve the starting torque of the rotor. In this regards present paper is aim to study the details experimental, numerical, and analytical review on HSR and selection of blade material with minimum production cost.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88772885","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 : 2023-04-10DOI: 10.1177/0309524X231162638
Zhaoliang Guo, Li Xu, Guanhao Zhou, Kaijun Zhang
Wind farm wake modeling is of great significance for wind turbine layout optimization design and yaw control strategy. In this work, we combine deep neural network (DNN) with spectral proper orthogonal decomposition (SPOD) to discover dynamic characteristics of wake under different inflow conditions. Then an assessment of the proposed SPOD-DNN surrogate modeling method of parameterized fluid is performed by comparing the predicted results. Meanwhile, we demonstrate the robustness of the SPOD-DNN through a comparison with POD-DNN, where SPOD produces fewer modes than POD but can achieve the same cumulative contribution rate and wake prediction accuracy. In the end, the method is developed to predict the wake of single wind turbine in untrained inflow condition and Wake of six wind turbines with different yaw angles. The results reveals that the model has good generalization performance and can robustly reconstruct the wake of multiple wind turbines in different directions.
{"title":"A non-intrusive reduced-order model for wind farm wake analysis based on SPOD-DNN","authors":"Zhaoliang Guo, Li Xu, Guanhao Zhou, Kaijun Zhang","doi":"10.1177/0309524X231162638","DOIUrl":"https://doi.org/10.1177/0309524X231162638","url":null,"abstract":"Wind farm wake modeling is of great significance for wind turbine layout optimization design and yaw control strategy. In this work, we combine deep neural network (DNN) with spectral proper orthogonal decomposition (SPOD) to discover dynamic characteristics of wake under different inflow conditions. Then an assessment of the proposed SPOD-DNN surrogate modeling method of parameterized fluid is performed by comparing the predicted results. Meanwhile, we demonstrate the robustness of the SPOD-DNN through a comparison with POD-DNN, where SPOD produces fewer modes than POD but can achieve the same cumulative contribution rate and wake prediction accuracy. In the end, the method is developed to predict the wake of single wind turbine in untrained inflow condition and Wake of six wind turbines with different yaw angles. The results reveals that the model has good generalization performance and can robustly reconstruct the wake of multiple wind turbines in different directions.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90691567","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：