Subjects -> ENERGY (Total: 414 journals)
    - ELECTRICAL ENERGY (12 journals)
    - ENERGY (252 journals)
    - ENERGY: GENERAL (7 journals)
    - NUCLEAR ENERGY (40 journals)
    - PETROLEUM AND GAS (58 journals)
    - RENEWABLE ENERGY (45 journals)

RENEWABLE ENERGY (45 journals)

Showing 1 - 46 of 46 Journals sorted alphabetically
Advanced Fiber Materials     Full-text available via subscription  
Advanced Sustainable Systems     Hybrid Journal   (Followers: 7)
African Journal of Sustainable Development     Full-text available via subscription   (Followers: 9)
Applied Solar Energy     Hybrid Journal   (Followers: 21)
Biochar     Hybrid Journal   (Followers: 1)
Clean Energy     Open Access   (Followers: 2)
Current Sustainable/Renewable Energy Reports     Hybrid Journal   (Followers: 7)
Ecological Chemistry and Engineering S     Open Access   (Followers: 4)
EcoMat : Functional Materials for Green Energy and Environment     Open Access  
Environmental Progress & Sustainable Energy     Hybrid Journal   (Followers: 7)
Foundations and Trends® in Renewable Energy     Full-text available via subscription   (Followers: 4)
Global Energy Interconnection     Open Access  
Hydro Nepal : Journal of Water, Energy and Environment     Open Access   (Followers: 2)
IEEE Transactions on Sustainable Energy     Hybrid Journal   (Followers: 15)
IET Renewable Power Generation     Open Access   (Followers: 12)
International Journal of Renewable Energy Development     Open Access   (Followers: 6)
International Journal of Renewable Energy Technology     Hybrid Journal   (Followers: 11)
International Journal of Ventilation     Full-text available via subscription  
Journal of Renewable and Sustainable Energy     Hybrid Journal   (Followers: 14)
Journal of Renewable Energies / Revue des Energies Renouvelables     Open Access   (Followers: 2)
Journal of Renewable Energy     Open Access   (Followers: 11)
Journal of Renewable Energy and Mechanics     Open Access   (Followers: 1)
Journal of Smart Systems and Stable Energy     Open Access   (Followers: 1)
Journal of Solar Energy     Open Access   (Followers: 12)
Journal of Solar Energy Engineering     Full-text available via subscription   (Followers: 19)
Journal of Technology Innovations in Renewable Energy     Hybrid Journal   (Followers: 2)
Materials for Renewable and Sustainable Energy     Open Access   (Followers: 6)
Renewable and Sustainable Energy Reviews     Partially Free   (Followers: 30)
Renewable and Sustainable Energy Transition     Open Access  
Renewable Energy     Hybrid Journal   (Followers: 27)
Renewable Energy and Environmental Sustainability     Open Access   (Followers: 3)
Renewable Energy and Sustainable Development     Open Access   (Followers: 3)
Renewable Energy Focus     Full-text available via subscription   (Followers: 7)
Renewables : Wind, Water, and Solar     Open Access   (Followers: 3)
Resource-Efficient Technologies     Open Access  
Resources, Conservation & Recycling Advances     Open Access   (Followers: 1)
Smart Grid and Renewable Energy     Open Access   (Followers: 9)
Solar Energy     Hybrid Journal   (Followers: 20)
Solar Energy Advances     Open Access   (Followers: 2)
Solar Energy Materials and Solar Cells     Hybrid Journal   (Followers: 29)
Solar RRL     Hybrid Journal  
Sustainable Energy     Open Access   (Followers: 2)
Waste Disposal & Sustainable Energy     Hybrid Journal  
Wind Energy     Hybrid Journal   (Followers: 4)
Wind Energy Science     Open Access   (Followers: 2)
Wind Engineering     Hybrid Journal  
Similar Journals
Journal Cover
Wind Engineering
Journal Prestige (SJR): 0.296
Citation Impact (citeScore): 1
Number of Followers: 0  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0309-524X - ISSN (Online) 2048-402X
Published by Sage Publications Homepage  [1176 journals]
  • Potential recovery of glass and carbon fibers from wind turbine blades
           through different valorization techniques

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      Authors: Imen Chikha, Youcef Bouzidi, Nacef Tazi, Samir Baklouti, Rachida Idir
      Abstract: Wind Engineering, Ahead of Print.
      Over the past two decades, the wind turbine industry has grown rapidly. As a result, thousands of tons of composite materials from these end-of-life (EoL) wind turbine blades (WTBs) are discarded every year. Due to their complex structure, which consists of a thermoset matrix with glass (GF) and/or carbon (CF) fibers, their recovery is a challenge and remains limited. The objective of this study is to compare several recycling techniques for composite materials using landfill as a baseline scenario. Several aspects can influence the performance of GF and CF recovery, but one of the most important is the efficiency of recycling technologies in terms of the recovered GF/CF fiber rate. To evaluate this amount of fiber annually, a material flow analysis (MFA) was performed based on the punctual years of 2030, 2040, and 2050. A correlation with other aspects was established and based on maturity level, technical, economic, and environmental aspects. Afterward, recommendations on short and medium/long term circularity objectives were drafted on the most suitable technologies for WTBs circularity.
      Citation: Wind Engineering
      PubDate: 2023-09-07T12:53:42Z
      DOI: 10.1177/0309524X231191056
       
  • Integrated simulation-based calibration and sensitivity analysis of a
           compressed air energy storage system

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      Authors: Mariuxi Segarra-Fernández, Johnny Fabian Loor, Sourojeet Chakraborty, Dany De Cecchis, Alexander Espinoza, Daniela Galatro
      Abstract: Wind Engineering, Ahead of Print.
      Wind energy systems show tremendous potential toward the reduction of greenhouse gas (GHG) emissions; however, the rate of generation of this mode of clean energy remains predominantly intermittent, since it is produced by constantly changing natural drivers, such as wind availability and wind velocity. In this work, a novel framework is proposed which combines a modular process simulator, and a Python environment, to calibrate the operation, and perform a sensitivity analysis of a compressed air energy storage system (CAES) system. Six operational variables are identified via various Monte-Carlo simulations, and a SOBOL analysis of the results highlight three key variables that significantly influence the two primary outputs of a CAES system: the LCOE and the exergy destroyed. Our results successfully identify two novel design metrics that can inform D-CAES design and optimization, for future simulation and experimental works targeted toward wind energy capture and storage.
      Citation: Wind Engineering
      PubDate: 2023-09-07T01:03:22Z
      DOI: 10.1177/0309524X231194639
       
  • A hybrid model based on LSTM neural networks with attention mechanism for
           short-term wind power forecasting

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      Authors: Geovanny Marulanda, Jenny Cifuentes, Antonio Bello, Javier Reneses
      Abstract: Wind Engineering, Ahead of Print.
      Wind power plants have gained prominence in recent decades owing to their positive environmental and economic impact. However, the unpredictability of wind resources poses significant challenges to the secure and stable operation of the power grid. To address this challenge, numerous computational and statistical methods have been proposed in the literature to forecast short-term wind power generation. However, the demand for more accurate and reliable methodologies to tackle this problem remains. In this context, this paper proposes a new hybrid framework that combines a statistical pre-processing stage with an attention-based deep learning approach to overcome the shortcomings of existing forecasting strategies in accurately predicting multi-seasonal wind power time series. The proposed ensemble model involves a data transformation stage that normalizes the data distribution, along with modeling and removing multiple seasonal patterns from the historical time-series. Considering these results, the proposed model further incorporates an LSTM Recurrent Neural Network (RNN) model with an attention mechanism, for each month of the year, to better capture the relevant temporal dependencies in the input residuals sequence. The model was trained and evaluated on hourly wind power data obtained from the Spanish electricity market, spanning the period from 2008 to 2019. Experimental results show that the proposed model outperforms well-established DL-based models, achieving lower error metrics. These findings have potential applications in energy trading, grid planning, and renewable energy management.
      Citation: Wind Engineering
      PubDate: 2023-08-21T12:17:37Z
      DOI: 10.1177/0309524X231191163
       
  • Research on key technologies of large-scale wind-solar hybrid grid energy
           storage capacity big data configuration optimization

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      Authors: Xin Tong
      Abstract: Wind Engineering, Ahead of Print.
      Due to the uncertainty and randomness of large-scale wind and light, the output power of the power grid has great fluctuations. If it is directly connected to the grid, it will affect the main grid. In addition, when the grid switches between on-grid/off-grid operation modes, there will be power shortages, shocks and oscillations. The scientific and reasonable configuration of energy storage system capacity big data can reduce the load power shortage rate, improve the utilization rate of renewable energy, and ensure the reliable operation of the power grid. For this reason, the key technology of large-scale wind-solar hybrid grid energy storage capacity big data configuration optimization is studied. A large-scale wind-solar hybrid grid energy storage structure is proposed, and the working characteristics of photovoltaic power generation and wind power generation are analyzed, and the probability model of photovoltaic power generation, wind power generation and load, as well as the charging and discharging model of battery and super capacitor are established accordingly. On this basis, the optimization objective function is set, the constraints are determined, and the large-scale wind-solar hybrid grid energy storage capacity big data configuration optimization model is constructed. And the PSO algorithm is used to solve the model to realize the big data configuration optimization of large-scale wind-solar hybrid grid energy storage capacity. The research results show that the proposed method of large-scale wind-solar hybrid grid energy storage system has good power supply reliability and economy, and can effectively improve the utilization rate of renewable energy.
      Citation: Wind Engineering
      PubDate: 2023-08-21T12:10:17Z
      DOI: 10.1177/0309524X231188951
       
  • A radial basis function neural network approach to filtering stochastic
           wind speed data

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      Authors: Jiten Parmar, Jeff Pieper
      Abstract: Wind Engineering, Ahead of Print.
      Various types of control methods are utilized in wind turbines to obtain the optimal amount of power from wind. The turbine dynamics are required in said methods, and the wind speed is a critical component of the analysis. However, the stochastic nature of wind means that wind speed sensor signals are noisy. This paper proposes the utilization of a radial basis function neural network (RBFNN) based filter to process the signal, by training the network with a simulated wind signal. The network is differentiated from a traditional filter in that the number of neurons and the “learning rate” of the network dictate the properties of the filtered signal. The information flow in the network consists of the signal to be processed as the input, the which is then used as an argument in a radial basis function (which determines the “distance” of each value in the input from a particular preset point), and then it multiplied by a weight. The learning rate is obtained from a novel equation that is proposed in the paper. The results showed that the proposed scheme has versatility in terms of noise removal and signal smoothing, and if required, can viably match performance with a Butterworth filter. Furthermore, live training and adaptability also serve as advantages over a classic filter. Three “modes” of processing the signal are determined based on choosing certain ranges of values for parameters which comprise the RBFNN (number of neurons used and learning rate), and the control designer can choose which one to implement based on performance requirements.
      Citation: Wind Engineering
      PubDate: 2023-08-10T11:39:07Z
      DOI: 10.1177/0309524X231188696
       
  • Numerical investigation of the aerodynamic performance of a hybrid
           Darrieus-Savonius wind turbine

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      Authors: Zeinab Pouransari, Mohadese Behzad
      Abstract: Wind Engineering, Ahead of Print.
      A numerical simulation study on the combination of a Darrieus and a Savonius wind turbine is conducted. Hybrid T-II, T-III, and T-IV turbines are suggested with the same Darrieus turbine T-I. In the T-II and T-III, the Savonius turbine is at the center of the Darrieus turbine, whereas in the T-IV, the Savonius turbine is above the Darrieus turbine. The T-III Savonius turbine has half the radius of that of the T-II turbine. Results reveal that variations of the power coefficients, Cp with the tip speed ratio, TSR for the hybrid turbines have different slopes. It is observed that Cp increases with increasing TSR for the T-II and T-IV and does not decrease for the range of TSRs considered, in contrast with the Cp behavior of the T-I. The proposed hybrid T-IV turbine has also a larger Cp than the T-I turbine at the highest TSR.
      Citation: Wind Engineering
      PubDate: 2023-07-27T12:41:50Z
      DOI: 10.1177/0309524X231188950
       
  • Cooperative control strategy for frequency regulation of wind-pumped
           storage system considering wind speed partition

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      Authors: Yuanxiang Luo, Yang Feng, Cheng Liu, Ming Guan, Linshu Cai
      Abstract: Wind Engineering, Ahead of Print.
      In order to solve the problem of system inertia reduction and frequency response degradation caused by large-scale wind power interconnection, a strategy is proposed. This strategy incorporates a joint system model composed of doubly-fed wind turbine (DFWT) and variable speed pumped storage (VSPS), utilizing a fuzzy controller to dynamically determine the virtual inertia coefficient of the wind-pumped storage system based on the frequency state of the system, and adjusts the frequency-regulation participation factor of the DFWT in real time according to the operating conditions of it. The simulation results show that the proposed strategy can not only significantly improve the frequency nadir, speed up the system frequency and each generating unit in the system to restore to steady state, but also avoid the second frequency drop (SFD) caused by the wind farm out of primary frequency regulation (PFR), and improve the stability of the system frequency.
      Citation: Wind Engineering
      PubDate: 2023-07-26T12:21:38Z
      DOI: 10.1177/0309524X231188941
       
  • Estimate of the wind energy needed to replace natural gas with hydrogen,
           and electrify heat pumps and automobiles in Massachusetts

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      Authors: Jack Cimorelli, Brian Hammerstrom, Christopher Niezrecki, Xinfang Jin
      Abstract: Wind Engineering, Ahead of Print.
      To meet 2050 decarbonization goals, Massachusetts will not be able to rely on carbon intensive energy sources (e.g. natural gas and gasoline) and hydrogen has been considered a replacement. To produce hydrogen without carbon emissions, renewable energy sources will be used to power electrolyzer stacks. However, renewable energy sources will also be in high demand for other energy sectors, such as automobiles and electrification. This paper estimates the amount of wind energy needed to replace natural gas with hydrogen and electrify automobiles. Comparisons are also made for a scenario in which heat pumps are used to replace natural gas. These energy sectors represent the bulk of energy consumed within Massachusetts and are of high interest to stakeholders globally. The analysis reveals the daunting amount of wind energy needed for replacement and that it is highly unlikely for hydrogen to replace natural gas in time to meet the state’s climate goals.
      Citation: Wind Engineering
      PubDate: 2023-07-26T11:32:10Z
      DOI: 10.1177/0309524X231185322
       
  • Analysis of Doubly Fed Induction Generator-based wind turbine system for
           fault ride through capability investigations

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      Authors: Milkias Berhanu Tuka, Salem Molla Endale
      Abstract: Wind Engineering, Ahead of Print.
      A Doubly Fed Induction Generator has a stator winding directly coupled with grid whereas rotor is to the grid via a fault-prone converter. In early times, when a fault occurred, these generators were required to disengage from the grid. However, due to the increased penetration, grid operators demanded WTs remain connected to the grid. Thus, this paperwork integrates crowbar protection with a Battery Energy Storage System (BESS) to improve Fault Ride Through (FRT) capability. For performance evaluation under transient conditions, a three-phase symmetrical fault is imposed at a time of 2 seconds. By using the suggested technique, the DC-link voltage is observed to improve and remain at 1150 V with minor fluctuation. Likewise, the stator and rotor currents are observed to remain at their nominal value after 2.15 seconds. MATLAB-Simulink software is used for modeling and simulation by obtaining all the system’s actual parameters from ADAMA-II Wind Farm.
      Citation: Wind Engineering
      PubDate: 2023-07-17T05:29:11Z
      DOI: 10.1177/0309524X231186762
       
  • Optimization of wind off-grid system for remote area: Egyptian application

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      Authors: Amal El Berry, Marwa M Ibrahim
      Abstract: Wind Engineering, Ahead of Print.
      Due unexpected nature of renewable energy systems, the (Wind/Diesel/Battery) (W/D/B) off-grid system has initially been investigated at a South Sinai location in Egypt for home-scale consumption. Eight different systems, each of which consists of a small wind turbine, storage batteries, and diesel generator, are investigated in accordance with the varying needs of the power loads and seasonal weather data. The major goal is to investigate how adding wind power as an energy source will affect the price of electricity generated while taking into account the cost of reducing CO2 emissions as an external benefit of the wind turbine, which emits no pollutants during operation. In order to compare a Taguchi OA design to a two-level full factorial design to evaluate the systems at two separate sites (South Sinai and the Western Desert in Egypt), a design evaluation tool in DOE++ will be used. To pinpoint the crucial variables and analyze the impact of six different factors on eight different sets, Taguchi OA is used. The proportion of power shortfall is a production indicator, while the net present cost (NPC) and cost of energy (COE) are used as economic indicators. The simulation results demonstrate that W/D/B systems are economically viable for the hypothetical community site when using HOMER software, with electricity generated at a cost of about 0.285$/kWh without accounting for external benefits and 0.221$/kWh if CO2 emissions are competitive with diesel-only systems, where COE is 0.432$/kWh. As a new evaluation approach, the Box-Cox transformation calculated the best λ is about −2 at the two locations, indicating similar technique behaviors, and the fitted probability shows, meaning that the significant impact of system components are wind turbines. Regression model of CO2 emission is demonstrated to be successful for estimates at the Western Desert location than the South Sinai region
      Citation: Wind Engineering
      PubDate: 2023-07-15T06:35:04Z
      DOI: 10.1177/0309524X231185325
       
  • Unsupervised acoustic detection of fatigue-induced damage modes from wind
           turbine blades

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      Authors: Jaclyn Solimine, Murat Inalpolat
      Abstract: Wind Engineering, Ahead of Print.
      This paper proposes a new in-situ damage detection approach for wind turbine blades, which leverages blade-internal non-stationary acoustic pressure fluctuations caused by the mechanical loading as the main source of excitation. This acoustic excitation was leveraged for the detection of fatigue-related damage modes on a full-scale wind turbine blade undergoing edgewise fatigue testing. An unsupervised, data-driven structural health monitoring strategy was developed to learn the normal cavity-internal acoustic sequences generated by the blade’s load cycles and to detect damage-related anomalies in the context of those sequences. A linear cepstral-coefficient based feature set was used to characterize the cavity-internal acoustics and LSTM-autoencoders were trained to accurately reconstruct healthy-case sequences. The reconstruction error was then used to characterize anomalous acoustic patterns within the blade cavity. The technique was able to detect a damage event earlier than a strain-based system by 120,000 load cycles.
      Citation: Wind Engineering
      PubDate: 2023-07-12T11:27:13Z
      DOI: 10.1177/0309524X231187152
       
  • Introducing a new system performance function to formulate reliability
           analysis problems of wind turbines

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      Authors: Sorena Artin
      Abstract: Wind Engineering, Ahead of Print.
      Consideration of safety is one of the current requirements to design a new system that is often implemented by defining the system failure probability. Renewable energy systems (RESs) do have the same requirements when it comes to safety and reliability. When designing a wind turbine, as a RES, its reliability is of the highest importance. So, efficient reliability models are required to ensure the turbine is working safely to generate electricity. A new model is introduced in this paper by taking into account the wind speed and the wind angle as two effective factors. These two random variables are reported to follow the Gaussian and Weibull probability distributions, and so are employed to define a limit-state function for the turbines. This limit-state function, which is also called system performance function, will then be used to find out the system failure probability.
      Citation: Wind Engineering
      PubDate: 2023-07-12T11:20:54Z
      DOI: 10.1177/0309524X231187044
       
  • Investigation of PBUC problem with RES and EV in restructured environment

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      Authors: Amita Singh, Veena Sharma, Vineet Kumar, Ram Naresh, Om Prakash Rahi, Vineet Kumar
      Abstract: Wind Engineering, Ahead of Print.
      This research proposes a novel solution for the optimal day-ahead scheduling problem in the GAMS environment using the BARON approach. The challenge is extended to include Renewable Energy Sources (RESs) and Electric Vehicles (EVs), making it more complex and practical. EVs serve as loads, energy suppliers, and storage during RESs’ uncertainties. The framework improves cost savings, quality, reliability, and stability of the power supply system by modeling solar, wind, and EV power in the scheduling problem. The solution is tested on a 10 -unit thermal system considering RESs and EVs under deterministic and stochastic environments. Stochastic scenarios are generated using Monte Carlo simulation, and the simultaneous scenario reduction approach enhances results. The BARON solver outperforms other solvers, achieving profits of $205,321 with wind, solar, and EVs, and $187,297 when considering uncertainty, resulting in a reduction of $18,024.
      Citation: Wind Engineering
      PubDate: 2023-07-08T11:08:47Z
      DOI: 10.1177/0309524X231185492
       
  • Wind energy potential and its current status in India

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      Authors: Nitin Kumar, Om Prakash
      Abstract: Wind Engineering, Ahead of Print.
      Currently, India’s population is growing at a rate comparable to other countries, which means we need to provide more energy. Most of the world’s energy is generated by coal-fired thermal power plants, despite the fact that this method results in a significant increase in the number of pollutants released into the atmosphere. Wind power is a kind of environment-friendly, pollution-free green energy that comes from renewable sources. India is one of the top five producers of wind power in the world. This article throws light upon the current status of wind energy in India, as well as its potential and regulations governing wind energy. India has a significant untapped potential for wind power generation, and this article details that potential as well as wind power generation in various states of India. When it comes to the production of wind power in India, Tamil Nadu is the most productive states.
      Citation: Wind Engineering
      PubDate: 2023-07-04T07:22:36Z
      DOI: 10.1177/0309524X231183373
       
  • Design of innovated structure of wind energy system with reduced
           manufacturing cost and optimized efficiency

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      Authors: Souhir Tounsi
      Abstract: Wind Engineering, Ahead of Print.
      DC generators have the major drawback of the large number of sliding brush-collar contacts, making this motor structure expensive and requiring a non-negligible maintenance cost. To avoid this problem, an excitation system allowing the excitation current to be reversed after the electromotive force changes polarity is added. The structure of the generator is found by equivalence to a permanent magnet direct current generator structure by changing the magnets by equivalent concentrated coils. A control technique of this type of generator, used in a wind energy production system, is developed to show the efficiency of this type of generator in the field of wind energy production. Related to permanent magnets generators, the studied structure is with reduced production cost since the magnets are replaced by coils. The innovation aspects of the studied generator are the modularity (use of several modules to increase the power delivered by the generator), the elevated efficiency due to the limited number of power chain components, the elevated power to weight ratio, the simplicity of the control and the reduced manufacturing cost. In conclusion, the use of the studied generator in the wind energy system, makes the power chain simple, inexpensive and robust.
      Citation: Wind Engineering
      PubDate: 2023-06-28T12:42:31Z
      DOI: 10.1177/0309524X231183929
       
  • Optimal design and control of hybrid synchronous generator regulating
           turbine angular speed for turbine protection

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      Authors: Souhir Tounsi
      Abstract: Wind Engineering, Ahead of Print.
      In this paper is presented a methodology of systemic design and control of a synchronous generator with hybrid excitation for the generation of wind energy. The design of the generator is made by the analytical method taking into account the interactions of the global system. Indeed, the regulation of the speed of the turbine is ensured by adjustment of the excitation current to regulate the electromagnetic torque and in this case the excitation current is limited to a fixed value since the increase of excitation current leads to an increase generator’s phase currents magnitude. The increase of the phase’s currents of the generator is linked to the increase of the amplitude of the electromotive forces depending on the excitation current. Therefore, to limit the amplitude of the phase’s currents to the value of the design current fixed by the note book specifications for a given power of the wind turbine, it is necessary to limit the excitation current by limiting the supply voltage of the DC-DC converter used to vary the excitation current for the regulation of the electromagnetic torque.This technique of speed adjustment is simpler and less expensive than techniques using mechanical and hydraulic braking systems.
      Citation: Wind Engineering
      PubDate: 2023-06-26T06:44:01Z
      DOI: 10.1177/0309524X231183374
       
  • Modelling and simulation of wind flow: A gradient method of identifying
           windy region

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      Authors: SN Nnamchi, ZO Jagun, OA Nnamchi, MM Mundu, U Onochie
      Abstract: Wind Engineering, Ahead of Print.
      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 ([math]) 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 [math], respectively). These results are useful for identifying windy locales for installation of solar and wind facilities.
      Citation: Wind Engineering
      PubDate: 2023-06-07T08:24:50Z
      DOI: 10.1177/0309524X231178793
       
  • Artificial intelligence-based controller for rotor current of doubly fed
           induction generator in wind turbine system

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      Authors: Milkias Berhanu Tuka, Niguse Assefa Abebe, Fetlework Kedir Abdu
      Abstract: Wind Engineering, Ahead of Print.
      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.
      Citation: Wind Engineering
      PubDate: 2023-05-06T11:16:10Z
      DOI: 10.1177/0309524X231173087
       
  • Computational investigation of NREL Phase-VI rotor: Validation of test
           sequence-S measurements

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      Authors: Mujahid Shaik, Balaji Subramanian
      Abstract: Wind Engineering, Ahead of Print.
      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.
      Citation: Wind Engineering
      PubDate: 2023-04-27T09:24:12Z
      DOI: 10.1177/0309524X231169298
       
  • Optimal power flow analysis including stochastic renewable energy sources
           using modified ant lion optimization algorithm

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      Authors: Abhishek Saini, Om Prakash Rahi
      Abstract: Wind Engineering, Ahead of Print.
      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.
      Citation: Wind Engineering
      PubDate: 2023-04-24T01:11:46Z
      DOI: 10.1177/0309524X231169295
       
  • Optimal Allocation of Hybrid Renewable Energy System in Distribution
           Network using Arithmetic Optimization Algorithm

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      Authors: Arun Rathore, Anupam Kumar, Sunil Kumar Shukla, Narayan Prasad Patidar
      Abstract: Wind Engineering, Ahead of Print.
      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.
      Citation: Wind Engineering
      PubDate: 2023-04-22T10:44:54Z
      DOI: 10.1177/0309524X231166859
       
  • 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

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      Authors: Souhil Mouassa, Saida Makhloufi, Chabane Djabali, Francisco Jurado
      Abstract: Wind Engineering, Ahead of Print.
      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.
      Citation: Wind Engineering
      PubDate: 2023-04-20T09:52:54Z
      DOI: 10.1177/0309524X231163826
       
  • Renewable based techno-economic analysis for telecommunication system: A
           case study of western Himalaya

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      Authors: Sumit Sharma, Yog Raj Sood, Sanjay Kumar, Vineet Kumar, Vineet Kumar
      Abstract: Wind Engineering, Ahead of Print.
      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.
      Citation: Wind Engineering
      PubDate: 2023-04-20T09:51:15Z
      DOI: 10.1177/0309524X231169469
       
 
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