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wind farm</title> <meta name="description" content="Search results for: Zafarana wind farm"> <meta name="keywords" content="Zafarana wind farm"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="Zafarana wind farm"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 1860</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Zafarana wind farm</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1860</span> Implementation of Integrated Multi-Channel Analysis of Surface Waves and Waveform Inversion Techniques for Seismic Hazard Estimation with Emphasis on Associated Uncertainty: A Case Study at Zafarana Wind Turbine Towers Farm, Egypt</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abd%20El-Aziz%20Khairy%20Abd%20El-Aal">Abd El-Aziz Khairy Abd El-Aal</a>, <a href="https://publications.waset.org/abstracts/search?q=Yuji%20Yagi"> Yuji Yagi</a>, <a href="https://publications.waset.org/abstracts/search?q=Heba%20Kamal"> Heba Kamal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, an integrated multi-channel analysis of Surface Waves (MASW) technique is applied to explore the geotechnical parameters of subsurface layers at the Zafarana wind farm. Moreover, a seismic hazard procedure based on the extended deterministic technique is used to estimate the seismic hazard load for the investigated area. The study area includes many active fault systems along the Gulf of Suez that cause many moderate and large earthquakes. Overall, the seismic activity of the area has recently become better understood following the use of new waveform inversion methods and software to develop accurate focal mechanism solutions for recent recorded earthquakes around the studied area. These earthquakes resulted in major stress-drops in the Eastern desert and the Gulf of Suez area. These findings have helped to reshape the understanding of the seismotectonic environment of the Gulf of Suez area, which is a perplexing tectonic domain. Based on the collected new information and data, this study uses an extended deterministic approach to re-examine the seismic hazard for the Gulf of Suez region, particularly the wind turbine towers at Zafarana Wind Farm and its vicinity. Alternate seismic source and magnitude-frequency relationships were combined with various indigenous attenuation relationships, adapted within a logic tree formulation, to quantify and project the regional exposure on a set of hazard maps. We select two desired exceedance probabilities (10 and 20%) that any of the applied scenarios may exceed the largest median ground acceleration. The ground motion was calculated at 50th, 84th percentile levels. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=MASW" title="MASW">MASW</a>, <a href="https://publications.waset.org/abstracts/search?q=seismic%20hazard" title=" seismic hazard"> seismic hazard</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20turbine%20towers" title=" wind turbine towers"> wind turbine towers</a>, <a href="https://publications.waset.org/abstracts/search?q=Zafarana%20wind%20farm" title=" Zafarana wind farm"> Zafarana wind farm</a> </p> <a href="https://publications.waset.org/abstracts/42275/implementation-of-integrated-multi-channel-analysis-of-surface-waves-and-waveform-inversion-techniques-for-seismic-hazard-estimation-with-emphasis-on-associated-uncertainty-a-case-study-at-zafarana-wind-turbine-towers-farm-egypt" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42275.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">403</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1859</span> Ambient Vibration Test and Numerical Modelling of Wind Turbine Towers including Soil Structure Interaction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Heba%20Kamal">Heba Kamal</a>, <a href="https://publications.waset.org/abstracts/search?q=Ghada%20Saudi"> Ghada Saudi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Due to The rapid expansion of energy and growing number of wind turbines construction in earthquake areas, a design method for simple and accurate evaluation of seismic load to ensure structural integrity is required. In Egypt, there are some appropriate places to build wind turbine towers lie in active seismically regions, so accurate analysis is necessary for prediction of seismic loads with consideration of intensity of the earthquake, soil and structural characteristics. In this research, seismic behavior of wind turbine towers Gamesa Type G52 in Zafarana Wind Farm Egypt is investigated using experimental work by ambient vibration test, and fully dynamic analysis based on time history from El Aqaba Earthquake 1995 using 3D by PLAXIS 3D software, including the soil structure interaction effect. The results obtained from dynamic analyses are discussed. From this study, it is concluded that, the fully dynamic seismic analysis based on used PLAXIS 3D with the aid of the full scale ambient vibration test gives almost good simulation for the seismic loads that can be applied to wind turbine tower design in Egypt. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wind%20turbine%20towers" title="Wind turbine towers">Wind turbine towers</a>, <a href="https://publications.waset.org/abstracts/search?q=Zafarana%20Wind%20Farm" title=" Zafarana Wind Farm"> Zafarana Wind Farm</a>, <a href="https://publications.waset.org/abstracts/search?q=Gamesa%20Type%20G52" title=" Gamesa Type G52"> Gamesa Type G52</a>, <a href="https://publications.waset.org/abstracts/search?q=ambient%20vibration%20test" title=" ambient vibration test"> ambient vibration test</a> </p> <a href="https://publications.waset.org/abstracts/137617/ambient-vibration-test-and-numerical-modelling-of-wind-turbine-towers-including-soil-structure-interaction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/137617.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">208</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1858</span> Optimal Type and Installation Time of Wind Farm in a Power System, Considering Service Providers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20H.%20Abedi">M. H. Abedi</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Jalilvand"> A. Jalilvand</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The economic development benefits of wind energy may be the most tangible basis for the local and state officials’ interests. In addition to the direct salaries associated with building and operating wind projects, the wind energy industry provides indirect jobs and benefits. The optimal planning of a wind farm is one most important topic in renewable energy technology. Many methods have been implemented to optimize the cost and output benefit of wind farms, but the contribution of this paper is mentioning different types of service providers and also time of installation of wind turbines during planning horizon years. Genetic algorithm (GA) is used to optimize the problem. It is observed that an appropriate layout of wind farm can cause to minimize the different types of cost. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=renewable%20energy" title="renewable energy">renewable energy</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20farm" title=" wind farm"> wind farm</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=planning" title=" planning"> planning</a> </p> <a href="https://publications.waset.org/abstracts/36510/optimal-type-and-installation-time-of-wind-farm-in-a-power-system-considering-service-providers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36510.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">524</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1857</span> Wind Farm Power Performance Verification Using Non-Parametric Statistical Inference</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Celeska">M. Celeska</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Najdenkoski"> K. Najdenkoski</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20Dimchev"> V. Dimchev</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20Stoilkov"> V. Stoilkov</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Accurate determination of wind turbine performance is necessary for economic operation of a wind farm. At present, the procedure to carry out the power performance verification of wind turbines is based on a standard of the International Electrotechnical Commission (IEC). In this paper, nonparametric statistical inference is applied to designing a simple, inexpensive method of verifying the power performance of a wind turbine. A statistical test is explained, examined, and the adequacy is tested over real data. The methods use the information that is collected by the SCADA system (Supervisory Control and Data Acquisition) from the sensors embedded in the wind turbines in order to carry out the power performance verification of a wind farm. The study has used data on the monthly output of wind farm in the Republic of Macedonia, and the time measuring interval was from January 1, 2016, to December 31, 2016. At the end, it is concluded whether the power performance of a wind turbine differed significantly from what would be expected. The results of the implementation of the proposed methods showed that the power performance of the specific wind farm under assessment was acceptable. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=canonical%20correlation%20analysis" title="canonical correlation analysis">canonical correlation analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20curve" title=" power curve"> power curve</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20performance" title=" power performance"> power performance</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20energy" title=" wind energy"> wind energy</a> </p> <a href="https://publications.waset.org/abstracts/82985/wind-farm-power-performance-verification-using-non-parametric-statistical-inference" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/82985.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">336</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1856</span> Assessing the Effect of Grid Connection of Large-Scale Wind Farms on Power System Small-Signal Angular Stability</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wenjuan%20Du">Wenjuan Du</a>, <a href="https://publications.waset.org/abstracts/search?q=Jingtian%20Bi"> Jingtian Bi</a>, <a href="https://publications.waset.org/abstracts/search?q=Tong%20Wang"> Tong Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Haifeng%20Wang"> Haifeng Wang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Grid connection of a large-scale wind farm affects power system small-signal angular stability in two aspects. Firstly, connection of the wind farm brings about the change of load flow and configuration of a power system. Secondly, the dynamic interaction is introduced by the wind farm with the synchronous generators (SGs) in the power system. This paper proposes a method to assess the two aspects of the effect of the wind farm on power system small-signal angular stability. The effect of the change of load flow/system configuration brought about by the wind farm can be examined separately by displacing wind farms with constant power sources, then the effect of the dynamic interaction of the wind farm with the SGs can be also computed individually. Thus, a clearer picture and better understanding on the power system small-signal angular stability as affected by grid connection of the large-scale wind farm are provided. In the paper, an example power system with grid connection of a wind farm is presented to demonstrate the proposed approach. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=power%20system%20small-signal%20angular%20stability" title="power system small-signal angular stability">power system small-signal angular stability</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20system%20low-frequency%20oscillations" title=" power system low-frequency oscillations"> power system low-frequency oscillations</a>, <a href="https://publications.waset.org/abstracts/search?q=electromechanical%20oscillation%20modes" title=" electromechanical oscillation modes"> electromechanical oscillation modes</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20farms" title=" wind farms"> wind farms</a>, <a href="https://publications.waset.org/abstracts/search?q=double%20fed%20induction%20generator%20%28DFIG%29" title=" double fed induction generator (DFIG)"> double fed induction generator (DFIG)</a> </p> <a href="https://publications.waset.org/abstracts/44871/assessing-the-effect-of-grid-connection-of-large-scale-wind-farms-on-power-system-small-signal-angular-stability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/44871.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">483</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1855</span> Study for an Optimal Cable Connection within an Inner Grid of an Offshore Wind Farm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Je-Seok%20Shin">Je-Seok Shin</a>, <a href="https://publications.waset.org/abstracts/search?q=Wook-Won%20Kim"> Wook-Won Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Jin-O%20Kim"> Jin-O Kim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The offshore wind farm needs to be designed carefully considering economics and reliability aspects. There are many decision-making problems for designing entire offshore wind farm, this paper focuses on an inner grid layout which means the connection between wind turbines as well as between wind turbines and an offshore substation. A methodology proposed in this paper determines the connections and the cable type for each connection section using K-clustering, minimum spanning tree and cable selection algorithms. And then, a cost evaluation is performed in terms of investment, power loss and reliability. Through the cost evaluation, an optimal layout of inner grid is determined so as to have the lowest total cost. In order to demonstrate the validity of the methodology, the case study is conducted on 240MW offshore wind farm, and the results show that it is helpful to design optimally offshore wind farm. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=offshore%20wind%20farm" title="offshore wind farm">offshore wind farm</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal%20layout" title=" optimal layout"> optimal layout</a>, <a href="https://publications.waset.org/abstracts/search?q=k-clustering%20algorithm" title=" k-clustering algorithm"> k-clustering algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=minimum%20spanning%20algorithm" title=" minimum spanning algorithm"> minimum spanning algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=cable%20type%20selection" title=" cable type selection"> cable type selection</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20loss%20cost" title=" power loss cost"> power loss cost</a>, <a href="https://publications.waset.org/abstracts/search?q=reliability%20cost" title=" reliability cost "> reliability cost </a> </p> <a href="https://publications.waset.org/abstracts/39131/study-for-an-optimal-cable-connection-within-an-inner-grid-of-an-offshore-wind-farm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/39131.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">385</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1854</span> A Study on Method for Identifying Capacity Factor Declination of Wind Turbines</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dongheon%20Shin">Dongheon Shin</a>, <a href="https://publications.waset.org/abstracts/search?q=Kyungnam%20Ko"> Kyungnam Ko</a>, <a href="https://publications.waset.org/abstracts/search?q=Jongchul%20Huh"> Jongchul Huh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The investigation on wind turbine degradation was carried out using the nacelle wind data. The three Vestas V80-2MW wind turbines of Sungsan wind farm in Jeju Island, South Korea were selected for this work. The SCADA data of the wind farm for five years were analyzed to draw power curve of the turbines. It is assumed that the wind distribution is the Rayleigh distribution to calculate the normalized capacity factor based on the drawn power curve of the three wind turbines for each year. The result showed that the reduction of power output from the three wind turbines occurred every year and the normalized capacity factor decreased to 0.12%/year on average. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wind%20energy" title="wind energy">wind energy</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20curve" title=" power curve"> power curve</a>, <a href="https://publications.waset.org/abstracts/search?q=capacity%20factor" title=" capacity factor"> capacity factor</a>, <a href="https://publications.waset.org/abstracts/search?q=annual%20energy%20production" title=" annual energy production"> annual energy production</a> </p> <a href="https://publications.waset.org/abstracts/21424/a-study-on-method-for-identifying-capacity-factor-declination-of-wind-turbines" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21424.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">433</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1853</span> Dynamic Modeling of Wind Farms in the Jeju Power System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dae-Hee%20Son">Dae-Hee Son</a>, <a href="https://publications.waset.org/abstracts/search?q=Sang-Hee%20Kang"> Sang-Hee Kang</a>, <a href="https://publications.waset.org/abstracts/search?q=Soon-Ryul%20Nam"> Soon-Ryul Nam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we develop a dynamic modeling of wind farms in the Jeju power system. The dynamic model of wind farms is developed to study their dynamic effects on the Jeju power system. PSS/E is used to develop the dynamic model of a wind farm composed of 1.5-MW doubly fed induction generators. The output of a wind farm is regulated based on pitch angle control, in which the two controllable parameters are speed and power references. The simulation results confirm that the pitch angle is successfully controlled, regardless of the variation in wind speed and output regulation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dynamic%20model" title="dynamic model">dynamic model</a>, <a href="https://publications.waset.org/abstracts/search?q=Jeju%20power%20system" title=" Jeju power system"> Jeju power system</a>, <a href="https://publications.waset.org/abstracts/search?q=online%20limitation" title=" online limitation"> online limitation</a>, <a href="https://publications.waset.org/abstracts/search?q=pitch%20angle%20control" title=" pitch angle control"> pitch angle control</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20farm" title=" wind farm"> wind farm</a> </p> <a href="https://publications.waset.org/abstracts/47581/dynamic-modeling-of-wind-farms-in-the-jeju-power-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/47581.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">327</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1852</span> Assessing Future Offshore Wind Farms in the Gulf of Roses: Insights from Weather Research and Forecasting Model Version 4.2</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kurias%20George">Kurias George</a>, <a href="https://publications.waset.org/abstracts/search?q=Ildefonso%20Cuesta%20Romeo"> Ildefonso Cuesta Romeo</a>, <a href="https://publications.waset.org/abstracts/search?q=Clara%20Salue%C3%B1a%20P%C3%A9rez"> Clara Salueña Pérez</a>, <a href="https://publications.waset.org/abstracts/search?q=Jordi%20Sole%20Olle"> Jordi Sole Olle</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the growing prevalence of wind energy there is a need, for modeling techniques to evaluate the impact of wind farms on meteorology and oceanography. This study presents an approach that utilizes the WRF (Weather Research and Forecasting )with that include a Wind Farm Parametrization model to simulate the dynamics around Parc Tramuntana project, a offshore wind farm to be located near the Gulf of Roses off the coast of Barcelona, Catalonia. The model incorporates parameterizations for wind turbines enabling a representation of the wind field and how it interacts with the infrastructure of the wind farm. Current results demonstrate that the model effectively captures variations in temeperature, pressure and in both wind speed and direction over time along with their resulting effects on power output from the wind farm. These findings are crucial for optimizing turbine placement and operation thus improving efficiency and sustainability of the wind farm. In addition to focusing on atmospheric interactions, this study delves into the wake effects within the turbines in the farm. A range of meteorological parameters were also considered to offer a comprehensive understanding of the farm's microclimate. The model was tested under different horizontal resolutions and farm layouts to scrutinize the wind farm's effects more closely. These experimental configurations allow for a nuanced understanding of how turbine wakes interact with each other and with the broader atmospheric and oceanic conditions. This modified approach serves as a potent tool for stakeholders in renewable energy, environmental protection, and marine spatial planning. environmental protection and marine spatial planning. It provides a range of information regarding the environmental and socio economic impacts of offshore wind energy projects. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=weather%20research%20and%20forecasting" title="weather research and forecasting">weather research and forecasting</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20turbine%20wake%20effects" title=" wind turbine wake effects"> wind turbine wake effects</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental%20impact" title=" environmental impact"> environmental impact</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20farm%20parametrization" title=" wind farm parametrization"> wind farm parametrization</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainability%20analysis" title=" sustainability analysis"> sustainability analysis</a> </p> <a href="https://publications.waset.org/abstracts/174677/assessing-future-offshore-wind-farms-in-the-gulf-of-roses-insights-from-weather-research-and-forecasting-model-version-42" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/174677.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">72</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1851</span> Investigation of Wind Farm Interaction with Ethiopian Electric Power’s Grid: A Case Study at Ashegoda Wind Farm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fikremariam%20Beyene">Fikremariam Beyene</a>, <a href="https://publications.waset.org/abstracts/search?q=Getachew%20Bekele"> Getachew Bekele</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ethiopia is currently on the move with various projects to raise the amount of power generated in the country. The progress observed in recent years indicates this fact clearly and indisputably. The rural electrification program, the modernization of the power transmission system, the development of wind farm is some of the main accomplishments worth mentioning. As it is well known, currently, wind power is globally embraced as one of the most important sources of energy mainly for its environmentally friendly characteristics, and also that once it is installed, it is a source available free of charge. However, integration of wind power plant with an existing network has many challenges that need to be given serious attention. In Ethiopia, a number of wind farms are either installed or are under construction. A series of wind farm is planned to be installed in the near future. Ashegoda Wind farm (13.2°, 39.6°), which is the subject of this study, is the first large scale wind farm under construction with the capacity of 120 MW. The first phase of 120 MW (30 MW) has been completed and is expected to be connected to the grid soon. This paper is concerned with the investigation of the wind farm interaction with the national grid under transient operating condition. The main concern is the fault ride through (FRT) capability of the system when the grid voltage drops to exceedingly low values because of short circuit fault and also the active and reactive power behavior of wind turbines after the fault is cleared. On the wind turbine side, a detailed dynamic modelling of variable speed wind turbine of a 1 MW capacity running with a squirrel cage induction generator and full-scale power electronics converters is done and analyzed using simulation software DIgSILENT PowerFactory. On the Ethiopian electric power corporation side, after having collected sufficient data for the analysis, the grid network is modeled. In the model, a fault ride-through (FRT) capability of the plant is studied by applying 3-phase short circuit on the grid terminal near the wind farm. The results show that the Ashegoda wind farm can ride from voltage deep within a short time and the active and reactive power performance of the wind farm is also promising. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=squirrel%20cage%20induction%20generator" title="squirrel cage induction generator">squirrel cage induction generator</a>, <a href="https://publications.waset.org/abstracts/search?q=active%20and%20reactive%20power" title=" active and reactive power"> active and reactive power</a>, <a href="https://publications.waset.org/abstracts/search?q=DIgSILENT%20PowerFactory" title=" DIgSILENT PowerFactory"> DIgSILENT PowerFactory</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20ride-through%20capability" title=" fault ride-through capability"> fault ride-through capability</a>, <a href="https://publications.waset.org/abstracts/search?q=3-phase%20short%20circuit" title=" 3-phase short circuit"> 3-phase short circuit</a> </p> <a href="https://publications.waset.org/abstracts/106479/investigation-of-wind-farm-interaction-with-ethiopian-electric-powers-grid-a-case-study-at-ashegoda-wind-farm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/106479.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">172</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1850</span> Improving the Foult Ride through Capability and Stability of Wind Farms with DFIG Wind Turbine by Using Statcom</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdulfetah%20Shobole">Abdulfetah Shobole</a>, <a href="https://publications.waset.org/abstracts/search?q=Arif%20Karakas"> Arif Karakas</a>, <a href="https://publications.waset.org/abstracts/search?q=Ugur%20Savas%20Selamogullari"> Ugur Savas Selamogullari</a>, <a href="https://publications.waset.org/abstracts/search?q=Mustafa%20Baysal"> Mustafa Baysal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The concern of reducing emissions of Co2 from the fossil fuel generating units and using renewable energy sources increased in our world. Due this fact the integration ratio of wind farms to grid reached 20-30% in some part of our world. With increased integration of large MW scaled wind farms to the electric grid, the stability of the electrical system is a great concern. Thus, operators of power systems usually deman the wind turbine generators to obey the same rules as other traditional kinds of generation, such as thermal and hydro, i.e. not affect the grid stability. FACTS devices such as SVC or STATCOM are mostly installed close to the connection point of the wind farm to the grid in order to increase the stability especially during faulty conditions. In this paper wind farm with DFIG turbine type and STATCOM are dynamically modeled and simulated under three phase short circuit fault condition. The dynamic modeling is done by DigSILENT PowerFactory for the wind farm, STATCOM and the network. The simulation results show improvement of system stability near to the connection point of the STATCOM. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=DFIG%20wind%20turbine" title="DFIG wind turbine">DFIG wind turbine</a>, <a href="https://publications.waset.org/abstracts/search?q=statcom" title=" statcom"> statcom</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamic%20modeling" title=" dynamic modeling"> dynamic modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=digsilent" title=" digsilent"> digsilent</a> </p> <a href="https://publications.waset.org/abstracts/29794/improving-the-foult-ride-through-capability-and-stability-of-wind-farms-with-dfig-wind-turbine-by-using-statcom" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29794.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">712</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1849</span> Comparison of Methods for Detecting and Quantifying Amplitude Modulation of Wind Farm Noise</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Phuc%20D.%20Nguyen">Phuc D. Nguyen</a>, <a href="https://publications.waset.org/abstracts/search?q=Kristy%20L.%20Hansen"> Kristy L. Hansen</a>, <a href="https://publications.waset.org/abstracts/search?q=Branko%20Zajamsek"> Branko Zajamsek</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The existence of special characteristics of wind farm noise such as amplitude modulation (AM) contributes significantly to annoyance, which could ultimately result in sleep disturbance and other adverse health effects for residents living near wind farms. In order to detect and quantify this phenomenon, several methods have been developed which can be separated into three types: time-domain, frequency-domain and hybrid methods. However, due to a lack of systematic validation of these methods, it is still difficult to select the best method for identifying AM. Furthermore, previous comparisons between AM methods have been predominantly qualitative or based on synthesised signals, which are not representative of the actual noise. In this study, a comparison between methods for detecting and quantifying AM has been carried out. The results are based on analysis of real noise data which were measured at a wind farm in South Australia. In order to evaluate the performance of these methods in terms of detecting AM, an approach has been developed to select the most successful method of AM detection. This approach uses a receiver operating characteristic (ROC) curve which is based on detection of AM in audio files by experts. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=amplitude%20modulation" title="amplitude modulation">amplitude modulation</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20farm%20noise" title=" wind farm noise"> wind farm noise</a>, <a href="https://publications.waset.org/abstracts/search?q=ROC%20curve" title=" ROC curve"> ROC curve</a> </p> <a href="https://publications.waset.org/abstracts/99060/comparison-of-methods-for-detecting-and-quantifying-amplitude-modulation-of-wind-farm-noise" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/99060.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">145</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1848</span> The Mechanism of Design and Analysis Modeling of Performance of Variable Speed Wind Turbine and Dynamical Control of Wind Turbine Power</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammadreza%20Heydariazad">Mohammadreza Heydariazad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Productivity growth of wind energy as a clean source needed to achieve improved strategy in production and transmission and management of wind resources in order to increase quality of power and reduce costs. New technologies based on power converters that cause changing turbine speed to suit the wind speed blowing turbine improve extraction efficiency power from wind. This article introduces variable speed wind turbines and optimization of power, and presented methods to use superconducting inductor in the composition of power converter and is proposed the dc measurement for the wind farm and especially is considered techniques available to them. In fact, this article reviews mechanisms and function, changes of wind speed turbine according to speed control strategies of various types of wind turbines and examines power possible transmission and ac from producing location to suitable location for a strong connection integrating wind farm generators, without additional cost or equipment. It also covers main objectives of the dynamic control of wind turbines, and the methods of exploitation and the ways of using it that includes the unique process of these components. Effective algorithm is presented for power control in order to extract maximum active power and maintains power factor at the desired value. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wind%20energy" title="wind energy">wind energy</a>, <a href="https://publications.waset.org/abstracts/search?q=generator" title=" generator"> generator</a>, <a href="https://publications.waset.org/abstracts/search?q=superconducting%20inductor" title=" superconducting inductor"> superconducting inductor</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20turbine%20power" title=" wind turbine power"> wind turbine power</a> </p> <a href="https://publications.waset.org/abstracts/10467/the-mechanism-of-design-and-analysis-modeling-of-performance-of-variable-speed-wind-turbine-and-dynamical-control-of-wind-turbine-power" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10467.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">327</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1847</span> Internal DC Short-Circuit Fault Analysis and Protection for VSI of Wind Power Generation Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mehdi%20Radmehr">Mehdi Radmehr</a>, <a href="https://publications.waset.org/abstracts/search?q=Amir%20Hamed%20Mashhadzadeh"> Amir Hamed Mashhadzadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Mehdi%20Jafari"> Mehdi Jafari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Traditional HVDC systems are tough to DC short circuits as they are current regulated with a large reactance connected in series with cables. Multi-terminal DC wind farm topologies are attracting increasing research attempt. With AC/DC converters on the generator side, this topology can be developed into a multi-terminal DC network for wind power collection, which is especially suitable for large-scale offshore wind farms. For wind farms, the topology uses high-voltage direct-current transmission based on voltage-source converters (VSC-HVDC). Therefore, they do not suffer from over currents due to DC cable faults and there is no over current to react to. In this study, the multi-terminal DC wind farm topology is introduced. Then, possible internal DC faults are analyzed according to type and characteristic. Fault over current expressions are given in detail. Under this characteristic analysis, fault detection and detailed protection methods are proposed. Theoretical analysis and PSCAD/EMTDC simulations are provided. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=DC%20short%20circuits" title="DC short circuits">DC short circuits</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-terminal%20DC%20wind%20farm%20topologies" title=" multi-terminal DC wind farm topologies"> multi-terminal DC wind farm topologies</a>, <a href="https://publications.waset.org/abstracts/search?q=HVDC%20transmission%20based%20on%20VSC" title=" HVDC transmission based on VSC"> HVDC transmission based on VSC</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20analysis" title=" fault analysis"> fault analysis</a> </p> <a href="https://publications.waset.org/abstracts/10282/internal-dc-short-circuit-fault-analysis-and-protection-for-vsi-of-wind-power-generation-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10282.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">421</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1846</span> Dynamic Simulation of a Hybrid Wind Farm with Wind Turbines and Distributed Compressed Air Energy Storage System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Eronini%20Iheanyi%20Umez-Eronini">Eronini Iheanyi Umez-Eronini</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Most studies and existing implementations of compressed air energy storage (CAES) coupled with a wind farm to overcome intermittency and variability of wind power are based on bulk or centralized CAES plants. A dynamic model of a hybrid wind farm with wind turbines and distributed CAES, consisting of air storage tanks and compressor and expander trains at each wind turbine station, is developed and simulated in MATLAB. An ad hoc supervisory controller, in which the wind turbines are simply operated under classical power optimizing region control while scheduling power production by the expanders and air storage by the compressors, including modulation of the compressor power levels within a control range, is used to regulate overall farm power production to track minute-scale (3-minutes sampling period) TSO absolute power reference signal, over an eight-hour period. Simulation results for real wind data input with a simple wake field model applied to a hybrid plant composed of ten 5-MW wind turbines in a row and ten compatibly sized and configured Diabatic CAES stations show the plant controller is able to track the power demand signal within an error band size on the order of the electrical power rating of a single expander. This performance suggests that much improved results should be anticipated when the global D-CAES control is combined with power regulation for the individual wind turbines using available approaches for wind farm active power control. For standalone power plant fuel electrical efficiency estimate of up to 60%, the round trip electrical storage efficiency computed for the distributed CAES wherein heat generated by running compressors is utilized in the preheat stage of running high pressure expanders while fuel is introduced and combusted before the low pressure expanders, was comparable to reported round trip storage electrical efficiencies for bulk Adiabatic CAES. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hybrid%20wind%20farm" title="hybrid wind farm">hybrid wind farm</a>, <a href="https://publications.waset.org/abstracts/search?q=distributed%20CAES" title=" distributed CAES"> distributed CAES</a>, <a href="https://publications.waset.org/abstracts/search?q=diabatic%20CAES" title=" diabatic CAES"> diabatic CAES</a>, <a href="https://publications.waset.org/abstracts/search?q=active%20power%20control" title=" active power control"> active power control</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamic%20modeling%20and%20simulation" title=" dynamic modeling and simulation"> dynamic modeling and simulation</a> </p> <a href="https://publications.waset.org/abstracts/173818/dynamic-simulation-of-a-hybrid-wind-farm-with-wind-turbines-and-distributed-compressed-air-energy-storage-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/173818.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">82</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1845</span> Transient Analysis and Mitigation of Capacitor Bank Switching on a Standalone Wind Farm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ajibola%20O.%20Akinrinde">Ajibola O. Akinrinde</a>, <a href="https://publications.waset.org/abstracts/search?q=Andrew%20Swanson"> Andrew Swanson</a>, <a href="https://publications.waset.org/abstracts/search?q=Remy%20Tiako"> Remy Tiako</a> </p> <p class="card-text"><strong>Abstract:</strong></p> There exist significant losses on transmission lines due to distance, as power generating stations could be located far from some isolated settlements. Standalone wind farms could be a good choice of alternative power generation for such settlements that are far from the grid due to factors of long distance or socio-economic problems. However, uncompensated wind farms consume reactive power since wind turbines are induction generators. Therefore, capacitor banks are used to compensate reactive power, which in turn improves the voltage profile of the network. Although capacitor banks help improving voltage profile, they also undergo switching actions due to its compensating response to the variation of various types of load at the consumer’s end. These switching activities could cause transient overvoltage on the network, jeopardizing the end-life of other equipment on the system. In this paper, the overvoltage caused by these switching activities is investigated using the IEEE bus 14-network to represent a standalone wind farm, and the simulation is done using ATP/EMTP software. Scenarios involving the use of pre-insertion resistor and pre-insertion inductor, as well as controlled switching was also carried out in order to decide the best mitigation option to reduce the overvoltage. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=capacitor%20banks" title="capacitor banks">capacitor banks</a>, <a href="https://publications.waset.org/abstracts/search?q=IEEE%20bus%2014-network" title=" IEEE bus 14-network"> IEEE bus 14-network</a>, <a href="https://publications.waset.org/abstracts/search?q=pre-insertion%20resistor" title=" pre-insertion resistor"> pre-insertion resistor</a>, <a href="https://publications.waset.org/abstracts/search?q=standalone%20wind%20farm" title=" standalone wind farm"> standalone wind farm</a> </p> <a href="https://publications.waset.org/abstracts/40420/transient-analysis-and-mitigation-of-capacitor-bank-switching-on-a-standalone-wind-farm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40420.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">441</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1844</span> Wind Resource Estimation and Economic Analysis for Rakiraki, Fiji</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kaushal%20Kishore">Kaushal Kishore</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Immense amount of imported fuels are used in Fiji for electricity generation, transportation and for carrying out miscellaneous household work. To alleviate its dependency on fossil fuel, paramount importance has been given to instigate the utilization of renewable energy sources for power generation and to reduce the environmental dilapidation. Amongst the many renewable energy sources, wind has been considered as one of the best identified renewable sources that are comprehensively available in Fiji. In this study the wind resource assessment for three locations in Rakiraki, Fiji has been carried out. The wind resource estimation at Rokavukavu, Navolau and at Tuvavatu has been analyzed. The average wind speed at 55 m above ground level (a.g.l) at Rokavukavu, Navolau, and Tuvavatu sites are 5.91 m/s, 8.94 m/s and 8.13 m/s with the turbulence intensity of 14.9%, 17.1%, and 11.7% respectively. The moment fitting method has been used to estimate the Weibull parameter and the power density at each sites. A high resolution wind resource map for the three locations has been developed by using Wind Atlas Analysis and Application Program (WAsP). The results obtained from WAsP exhibited good wind potential at Navolau and Tuvavatu sites. A wind farm has been proposed at Navolau and Tuvavatu site that comprises six Vergnet 275 kW wind turbines at each site. The annual energy production (AEP) for each wind farm is estimated and an economic analysis is performed. The economic analysis for the proposed wind farms at Navolau and Tuvavatu sites showed a payback period of 5 and 6 years respectively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=annual%20energy%20production" title="annual energy production">annual energy production</a>, <a href="https://publications.waset.org/abstracts/search?q=Rakiraki%20Fiji" title=" Rakiraki Fiji"> Rakiraki Fiji</a>, <a href="https://publications.waset.org/abstracts/search?q=turbulence%20intensity" title=" turbulence intensity"> turbulence intensity</a>, <a href="https://publications.waset.org/abstracts/search?q=Weibull%20parameter" title=" Weibull parameter"> Weibull parameter</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20speed" title=" wind speed"> wind speed</a>, <a href="https://publications.waset.org/abstracts/search?q=Wind%20Atlas%20Analysis%20and%20Application%20Program" title=" Wind Atlas Analysis and Application Program"> Wind Atlas Analysis and Application Program</a> </p> <a href="https://publications.waset.org/abstracts/104322/wind-resource-estimation-and-economic-analysis-for-rakiraki-fiji" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/104322.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">188</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1843</span> Large Eddy Simulation with Energy-Conserving Schemes: Understanding Wind Farm Aerodynamics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dhruv%20Mehta">Dhruv Mehta</a>, <a href="https://publications.waset.org/abstracts/search?q=Alexander%20van%20Zuijlen"> Alexander van Zuijlen</a>, <a href="https://publications.waset.org/abstracts/search?q=Hester%20Bijl"> Hester Bijl</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Large Eddy Simulation (LES) numerically resolves the large energy-containing eddies of a turbulent flow, while modelling the small dissipative eddies. On a wind farm, these large scales carry the energy wind turbines extracts and are also responsible for transporting the turbines’ wakes, which may interact with downstream turbines and certainly with the atmospheric boundary layer (ABL). In this situation, it is important to conserve the energy that these wake’s carry and which could be altered artificially through numerical dissipation brought about by the schemes used for the spatial discretisation and temporal integration. Numerical dissipation has been reported to cause the premature recovery of turbine wakes, leading to an over prediction in the power produced by wind farms.An energy-conserving scheme is free from numerical dissipation and ensures that the energy of the wakes is increased or decreased only by the action of molecular viscosity or the action of wind turbines (body forces). The aim is to create an LES package with energy-conserving schemes to simulate wind turbine wakes correctly to gain insight into power-production, wake meandering etc. Such knowledge will be useful in designing more efficient wind farms with minimal wake interaction, which if unchecked could lead to major losses in energy production per unit area of the wind farm. For their research, the authors intend to use the Energy-Conserving Navier-Stokes code developed by the Energy Research Centre of the Netherlands. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy-conserving%20schemes" title="energy-conserving schemes">energy-conserving schemes</a>, <a href="https://publications.waset.org/abstracts/search?q=modelling%20turbulence" title=" modelling turbulence"> modelling turbulence</a>, <a href="https://publications.waset.org/abstracts/search?q=Large%20Eddy%20Simulation" title=" Large Eddy Simulation"> Large Eddy Simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=atmospheric%20boundary%20layer" title=" atmospheric boundary layer"> atmospheric boundary layer</a> </p> <a href="https://publications.waset.org/abstracts/17675/large-eddy-simulation-with-energy-conserving-schemes-understanding-wind-farm-aerodynamics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17675.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">465</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1842</span> Short-Term Forecast of Wind Turbine Production with Machine Learning Methods: Direct Approach and Indirect Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mamadou%20Dione">Mamadou Dione</a>, <a href="https://publications.waset.org/abstracts/search?q=Eric%20Matzner-lober"> Eric Matzner-lober</a>, <a href="https://publications.waset.org/abstracts/search?q=Philippe%20Alexandre"> Philippe Alexandre</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Energy Transition Act defined by the French State has precise implications on Renewable Energies, in particular on its remuneration mechanism. Until then, a purchase obligation contract permitted the sale of wind-generated electricity at a fixed rate. Tomorrow, it will be necessary to sell this electricity on the Market (at variable rates) before obtaining additional compensation intended to reduce the risk. This sale on the market requires to announce in advance (about 48 hours before) the production that will be delivered on the network, so to be able to predict (in the short term) this production. The fundamental problem remains the variability of the Wind accentuated by the geographical situation. The objective of the project is to provide, every day, short-term forecasts (48-hour horizon) of wind production using weather data. The predictions of the GFS model and those of the ECMWF model are used as explanatory variables. The variable to be predicted is the production of a wind farm. We do two approaches: a direct approach that predicts wind generation directly from weather data, and an integrated approach that estimâtes wind from weather data and converts it into wind power by power curves. We used machine learning techniques to predict this production. The models tested are random forests, CART + Bagging, CART + Boosting, SVM (Support Vector Machine). The application is made on a wind farm of 22MW (11 wind turbines) of the Compagnie du Vent (that became Engie Green France). Our results are very conclusive compared to the literature. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=forecast%20aggregation" title="forecast aggregation">forecast aggregation</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=spatio-temporal%20dynamics%20modeling" title=" spatio-temporal dynamics modeling"> spatio-temporal dynamics modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20power%20forcast" title=" wind power forcast"> wind power forcast</a> </p> <a href="https://publications.waset.org/abstracts/90718/short-term-forecast-of-wind-turbine-production-with-machine-learning-methods-direct-approach-and-indirect-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/90718.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">217</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1841</span> Wind Turbine Control Performance Evaluation Based on Minimum-Variance Principles</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zheming%20Cao">Zheming Cao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Control loops are the most important components in the wind turbine system. Product quality, operation safety, and the economic performance are directly or indirectly connected to the performance of control systems. This paper proposed a performance evaluation method based on minimum-variance for wind turbine control system. This method can be applied on PID controller for pitch control system in the wind turbine. The good performance result demonstrated in the paper was achieved by retuning and optimizing the controller settings based on the evaluation result. The concepts presented in this paper are illustrated with the actual data of the industrial wind farm. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=control%20performance" title="control performance">control performance</a>, <a href="https://publications.waset.org/abstracts/search?q=evaluation" title=" evaluation"> evaluation</a>, <a href="https://publications.waset.org/abstracts/search?q=minimum-variance" title=" minimum-variance"> minimum-variance</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20turbine" title=" wind turbine"> wind turbine</a> </p> <a href="https://publications.waset.org/abstracts/65020/wind-turbine-control-performance-evaluation-based-on-minimum-variance-principles" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/65020.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">370</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1840</span> A Hybrid Genetic Algorithm and Neural Network for Wind Profile Estimation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Saiful%20Islam">M. Saiful Islam</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Mohandes"> M. Mohandes</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Rehman"> S. Rehman</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Badran"> S. Badran</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Increasing necessity of wind power is directing us to have precise knowledge on wind resources. Methodical investigation of potential locations is required for wind power deployment. High penetration of wind energy to the grid is leading multi megawatt installations with huge investment cost. This fact appeals to determine appropriate places for wind farm operation. For accurate assessment, detailed examination of wind speed profile, relative humidity, temperature and other geological or atmospheric parameters are required. Among all of these uncertainty factors influencing wind power estimation, vertical extrapolation of wind speed is perhaps the most difficult and critical one. Different approaches have been used for the extrapolation of wind speed to hub height which are mainly based on Log law, Power law and various modifications of the two. This paper proposes a Artificial Neural Network (ANN) and Genetic Algorithm (GA) based hybrid model, namely GA-NN for vertical extrapolation of wind speed. This model is very simple in a sense that it does not require any parametric estimations like wind shear coefficient, roughness length or atmospheric stability and also reliable compared to other methods. This model uses available measured wind speeds at 10m, 20m and 30m heights to estimate wind speeds up to 100m. A good comparison is found between measured and estimated wind speeds at 30m and 40m with approximately 3% mean absolute percentage error. Comparisons with ANN and power law, further prove the feasibility of the proposed method. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wind%20profile" title="wind profile">wind profile</a>, <a href="https://publications.waset.org/abstracts/search?q=vertical%20extrapolation%20of%20wind" title=" vertical extrapolation of wind"> vertical extrapolation of wind</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20network" title=" artificial neural network"> artificial neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20machine%20learning" title=" hybrid machine learning "> hybrid machine learning </a> </p> <a href="https://publications.waset.org/abstracts/27766/a-hybrid-genetic-algorithm-and-neural-network-for-wind-profile-estimation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27766.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">490</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1839</span> Feasibility Study of Utilization and Development of Wind Energy for Electricity Generation in Panjang Island, Serang, Banten, West Java</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aryo%20Bayu%20Tejokusumo">Aryo Bayu Tejokusumo</a>, <a href="https://publications.waset.org/abstracts/search?q=Ivan%20Hidayat"> Ivan Hidayat</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20Steffany%20Yoland"> C. Steffany Yoland</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Wind velocity in Panjang Island, Serang, Banten, West Java, measured 10 m above sea level, is about 8 m/s. This wind velocity is potential for electricity generation using wind power. Using ten of Alstom-Haliade 150-6 W turbines, the placement of wind turbines has 7D for vertical distance and 4D for horizontal distance. Installation of the turbines is 100 m above sea level which is produces 98.64 MW per hour. This wind power generation has ecology impacts (the deaths of birds and bats and land exemption) and human impacts (aesthetics, human’s health, and potential disruption of electromagnetics interference), but it could be neglected totally, because of the position of the wind farm. The investment spent 73,819,710.00 IDR. Payback period is 2.23 years, and rate of return is 45.24%. This electricity generation using wind power in Panjang Island is suitable to install despite the high cost of investment since the profit is also high. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wind%20turbine" title="wind turbine">wind turbine</a>, <a href="https://publications.waset.org/abstracts/search?q=Panjang%20island" title=" Panjang island"> Panjang island</a>, <a href="https://publications.waset.org/abstracts/search?q=renewable%20energy" title=" renewable energy"> renewable energy</a>, <a href="https://publications.waset.org/abstracts/search?q=Indonesia" title=" Indonesia"> Indonesia</a>, <a href="https://publications.waset.org/abstracts/search?q=offshore" title=" offshore"> offshore</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20generation" title=" power generation "> power generation </a> </p> <a href="https://publications.waset.org/abstracts/21870/feasibility-study-of-utilization-and-development-of-wind-energy-for-electricity-generation-in-panjang-island-serang-banten-west-java" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21870.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">662</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1838</span> Site Suitability of Offshore Wind Energy: A Combination of Geographic Referenced Information and Analytic Hierarchy Process</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ayat-Allah%20Bouramdane">Ayat-Allah Bouramdane</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Power generation from offshore wind energy does not emit carbon dioxide or other air pollutants and therefore play a role in reducing greenhouse gas emissions from the energy sector. In addition, these systems are considered more efficient than onshore wind farms, as they generate electricity from the wind blowing across the sea, thanks to the higher wind speed and greater consistency in direction due to the lack of physical interference that the land or human-made objects can present. This means offshore installations require fewer turbines to produce the same amount of energy as onshore wind farms. However, offshore wind farms require more complex infrastructure to support them and, as a result, are more expensive to construct. In addition, higher wind speeds, strong seas, and accessibility issues makes offshore wind farms more challenging to maintain. This study uses a combination of Geographic Referenced Information (GRI) and Analytic Hierarchy Process (AHP) to identify the most suitable sites for offshore wind farm development in Morocco, with a particular focus on the Dakhla city. A range of environmental, socio-economic, and technical criteria are taken into account to solve this complex Multi-Criteria Decision-Making (MCDM) problem. Based on experts' knowledge, a pairwise comparison matrix at each level of the hierarchy is performed, and fourteen sub-criteria belong to the main criteria have been weighted to generate the site suitability of offshore wind plants and obtain an in-depth knowledge on unsuitable areas, and areas with low-, moderate-, high- and very high suitability. We find that wind speed is the most decisive criteria in offshore wind farm development, followed by bathymetry, while proximity to facilities, the sediment thickness, and the remaining parameters show much lower weightings rendering technical parameters most decisive in offshore wind farm development projects. We also discuss the potential of other marine renewable energy potential, in Morocco, such as wave and tidal energy. The proposed approach and analysis can help decision-makers and can be applied to other countries in order to support the site selection process of offshore wind farms. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=analytic%20hierarchy%20process" title="analytic hierarchy process">analytic hierarchy process</a>, <a href="https://publications.waset.org/abstracts/search?q=dakhla" title=" dakhla"> dakhla</a>, <a href="https://publications.waset.org/abstracts/search?q=geographic%20referenced%20information" title=" geographic referenced information"> geographic referenced information</a>, <a href="https://publications.waset.org/abstracts/search?q=morocco" title=" morocco"> morocco</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-criteria%20decision-making" title=" multi-criteria decision-making"> multi-criteria decision-making</a>, <a href="https://publications.waset.org/abstracts/search?q=offshore%20wind" title=" offshore wind"> offshore wind</a>, <a href="https://publications.waset.org/abstracts/search?q=site%20suitability" title=" site suitability"> site suitability</a> </p> <a href="https://publications.waset.org/abstracts/157240/site-suitability-of-offshore-wind-energy-a-combination-of-geographic-referenced-information-and-analytic-hierarchy-process" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/157240.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">157</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1837</span> A Proper Design of Wind Turbine Grounding Systems under Lightning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20A.%20Abd-Allah">M. A. Abd-Allah</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahmoud%20N.%20Ali"> Mahmoud N. Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Said"> A. Said</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Lightning Protection Systems (LPS) for wind power generation is becoming an important public issue. A serious damage of blades, accidents where low-voltage and control circuit breakdowns frequently occur in many wind farms. A grounding system is one of the most important components required for appropriate LPSs in wind turbines WTs. Proper design of a wind turbine grounding system is demanding and several factors for the proper and effective implementation must be taken into account. This paper proposed procedure of proper design of grounding systems for a wind turbine was introduced. This procedure depends on measuring of ground current of simulated wind farm under lightning taking into consideration the soil ionization. The procedure also includes the Ground Potential Rise (GPR) and the voltage distributions at ground surface level and Touch potential. In particular, the contribution of mitigating techniques, such as rings, rods and the proposed design were investigated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=WTs" title="WTs">WTs</a>, <a href="https://publications.waset.org/abstracts/search?q=Lightning%20Protection%20Systems%20%28LPS%29" title=" Lightning Protection Systems (LPS)"> Lightning Protection Systems (LPS)</a>, <a href="https://publications.waset.org/abstracts/search?q=GPR" title=" GPR"> GPR</a>, <a href="https://publications.waset.org/abstracts/search?q=grounding%20system" title=" grounding system"> grounding system</a>, <a href="https://publications.waset.org/abstracts/search?q=mitigating%20techniques" title=" mitigating techniques"> mitigating techniques</a> </p> <a href="https://publications.waset.org/abstracts/16300/a-proper-design-of-wind-turbine-grounding-systems-under-lightning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16300.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">377</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1836</span> Potentiality of the Wind Energy in Algeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=C.%20Benoudjafer">C. Benoudjafer</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20N.%20Tandjaoui"> M. N. Tandjaoui</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20Benachaiba"> C. Benachaiba</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The use of kinetic energy of the wind is in full rise in the world and it starts to be known in our country but timidly. One or more aero generators can be installed to produce for example electricity on isolated places or not connected to the electrical supply network. To use the wind as energy source, it is necessary to know first the energy needs for the population and study the wind intensity, speed, frequency and direction. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Algeria" title="Algeria">Algeria</a>, <a href="https://publications.waset.org/abstracts/search?q=renewable%20energies" title=" renewable energies"> renewable energies</a>, <a href="https://publications.waset.org/abstracts/search?q=wind" title=" wind"> wind</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20power" title=" wind power"> wind power</a>, <a href="https://publications.waset.org/abstracts/search?q=aero-generators" title=" aero-generators"> aero-generators</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20energetic%20potential" title=" wind energetic potential"> wind energetic potential</a> </p> <a href="https://publications.waset.org/abstracts/19479/potentiality-of-the-wind-energy-in-algeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19479.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">432</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1835</span> Windstorm Risk Assessment for Offshore Wind Farms in the North Sea</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Paul%20Buchana">Paul Buchana</a>, <a href="https://publications.waset.org/abstracts/search?q=Patrick%20E.%20Mc%20Sharry"> Patrick E. Mc Sharry</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In 2017 there will be about 38 wind farms in the North Sea belonging to 5 different countries. The North Sea is ideal for offshore wind power generation and is thus attractive to offshore wind energy developers and investors. With concerns about the potential for offshore wind turbines to sustain substantial damage as a result of extreme weather conditions, particularly windstorms, this poses a unique challenge to insurers and reinsurers as to adequately quantify the risk and offer appropriate insurance cover for these assets. The need to manage this risk also concerns regulators, who provide the oversight needed to ensure that if a windstorm or a series of storms occur in this area over a one-year time frame, the insurers of these assets in the EU remain solvent even after meeting consequent damage costs. In this paper, using available European windstorm data for the past 33 years and actual wind farm locations together with information pertaining to each of the wind farms (number of turbines, total capacity and financial value), we present a Monte Carlo simulation approach to assess the number of turbines that would be buckled in each of the wind farms using maximum wind speeds reaching each of them. These wind speeds are drawn from historical windstorm data. From the number of turbines buckled, associated financial loss and output capacity can be deduced. The results presented in this paper are targeted towards offshore wind energy developers, insurance and reinsurance companies and regulators. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=catastrophe%20modeling" title="catastrophe modeling">catastrophe modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=North%20Sea%20wind%20farms" title=" North Sea wind farms"> North Sea wind farms</a>, <a href="https://publications.waset.org/abstracts/search?q=offshore%20wind%20power" title=" offshore wind power"> offshore wind power</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20analysis" title=" risk analysis"> risk analysis</a> </p> <a href="https://publications.waset.org/abstracts/66197/windstorm-risk-assessment-for-offshore-wind-farms-in-the-north-sea" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/66197.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">299</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1834</span> Topography Effects on Wind Turbines Wake Flow </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=H.%20Daaou%20Nedjari">H. Daaou Nedjari</a>, <a href="https://publications.waset.org/abstracts/search?q=O.%20Guerri"> O. Guerri</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Saighi"> M. Saighi </a> </p> <p class="card-text"><strong>Abstract:</strong></p> A numerical study was conducted to optimize the positioning of wind turbines over complex terrains. Thus, a two-dimensional disk model was used to calculate the flow velocity deficit in wind farms for both flat and complex configurations. The wind turbine wake was assessed using the hybrid methods that combine CFD (Computational Fluid Dynamics) with the actuator disc model. The wind turbine rotor has been defined with a thrust force, coupled with the Navier-Stokes equations that were resolved by an open source computational code (Code_Saturne V3.0 developed by EDF) The simulations were conducted in atmospheric boundary layer condition considering a two-dimensional region located at the north of Algeria at 36.74°N longitude, 02.97°E latitude. The topography elevation values were collected according to a longitudinal direction of 1km downwind. The wind turbine sited over topography was simulated for different elevation variations. The main of this study is to determine the topography effect on the behavior of wind farm wake flow. For this, the wake model applied in complex terrain needs to selects the singularity effects of topography on the vertical wind flow without rotor disc first. This step allows to determine the existence of mixing scales and friction forces zone near the ground. So, according to the ground relief the wind flow waS disturbed by turbulence and a significant speed variation. Thus, the singularities of the velocity field were thoroughly collected and thrust coefficient Ct was calculated using the specific speed. In addition, to evaluate the land effect on the wake shape, the flow field was also simulated considering different rotor hub heights. Indeed, the distance between the ground and the hub height of turbine (Hhub) was tested in a flat terrain for different locations as Hhub=1.125D, Hhub = 1.5D and Hhub=2D (D is rotor diameter) considering a roughness value of z0=0.01m. This study has demonstrated that topographical farm induce a significant effect on wind turbines wakes, compared to that on flat terrain. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CFD" title="CFD">CFD</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20turbine%20wake" title=" wind turbine wake"> wind turbine wake</a>, <a href="https://publications.waset.org/abstracts/search?q=k-epsilon%20model" title=" k-epsilon model"> k-epsilon model</a>, <a href="https://publications.waset.org/abstracts/search?q=turbulence" title=" turbulence"> turbulence</a>, <a href="https://publications.waset.org/abstracts/search?q=complex%20topography" title=" complex topography"> complex topography</a> </p> <a href="https://publications.waset.org/abstracts/29700/topography-effects-on-wind-turbines-wake-flow" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29700.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">563</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1833</span> Defining the Turbulent Coefficients with the Effect of Atmospheric Stability in Wake of a Wind Turbine Wake</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20A.%20Sazzad">Mohammad A. Sazzad</a>, <a href="https://publications.waset.org/abstracts/search?q=Md%20M.%20Alam"> Md M. Alam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Wind energy is one of the cleanest form of renewable energy. Despite wind industry is growing faster than ever there are some roadblocks towards the improvement. One of the difficulties the industry facing is insufficient knowledge about wake within the wind farms. As we know energy is generated in the lowest layer of the atmospheric boundary layer (ABL). This interaction between the wind turbine (WT) blades and wind introduces a low speed wind region which is defined as wake. This wake region shows different characteristics under each stability condition of the ABL. So, it is fundamental to know this wake region well which is defined mainly by turbulence transport and wake shear. Defining the wake recovery length and width are very crucial for wind farm to optimize the generation and reduce the waste of power to the grid. Therefore, in order to obtain the turbulent coefficients of velocity and length, this research focused on the large eddy simulation (LES) data for neutral ABL (NABL). According to turbulent theory, if we can present velocity defect and Reynolds stress in the form of local length and velocity scales, they become invariant. In our study velocity and length coefficients are 0.4867 and 0.4794 respectively which is close to the theoretical value of 0.5 for NABL. There are some invariant profiles because of the presence of thermal and wind shear power coefficients varied a little from the ideal condition. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=atmospheric%20boundary%20layer" title="atmospheric boundary layer">atmospheric boundary layer</a>, <a href="https://publications.waset.org/abstracts/search?q=renewable%20energy" title=" renewable energy"> renewable energy</a>, <a href="https://publications.waset.org/abstracts/search?q=turbulent%20coefficient" title=" turbulent coefficient"> turbulent coefficient</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20turbine" title=" wind turbine"> wind turbine</a>, <a href="https://publications.waset.org/abstracts/search?q=wake" title=" wake"> wake</a> </p> <a href="https://publications.waset.org/abstracts/126578/defining-the-turbulent-coefficients-with-the-effect-of-atmospheric-stability-in-wake-of-a-wind-turbine-wake" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/126578.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">132</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1832</span> Improved Traveling Wave Method Based Fault Location Algorithm for Multi-Terminal Transmission System of Wind Farm with Grounding Transformer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ke%20Zhang">Ke Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yongli%20Zhu"> Yongli Zhu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Due to rapid load growths in today’s highly electrified societies and the requirement for green energy sources, large-scale wind farm power transmission system is constantly developing. This system is a typical multi-terminal power supply system, whose structure of the network topology of transmission lines is complex. What’s more, it locates in the complex terrain of mountains and grasslands, thus increasing the possibility of transmission line faults and finding the fault location with difficulty after the faults and resulting in an extremely serious phenomenon of abandoning the wind. In order to solve these problems, a fault location method for multi-terminal transmission line based on wind farm characteristics and improved single-ended traveling wave positioning method is proposed. Through studying the zero sequence current characteristics by using the characteristics of the grounding transformer(GT) in the existing large-scale wind farms, it is obtained that the criterion for judging the fault interval of the multi-terminal transmission line. When a ground short-circuit fault occurs, there is only zero sequence current on the path between GT and the fault point. Therefore, the interval where the fault point exists is obtained by determining the path of the zero sequence current. After determining the fault interval, The location of the short-circuit fault point is calculated by the traveling wave method. However, this article uses an improved traveling wave method. It makes the positioning accuracy more accurate by combining the single-ended traveling wave method with double-ended electrical data. What’s more, a method of calculating the traveling wave velocity is deduced according to the above improvements (it is the actual wave velocity in theory). The improvement of the traveling wave velocity calculation method further improves the positioning accuracy. Compared with the traditional positioning method, the average positioning error of this method is reduced by 30%.This method overcomes the shortcomings of the traditional method in poor fault location of wind farm transmission lines. In addition, it is more accurate than the traditional fixed wave velocity method in the calculation of the traveling wave velocity. It can calculate the wave velocity in real time according to the scene and solve the traveling wave velocity can’t be updated with the environment and real-time update. The method is verified in PSCAD/EMTDC. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=grounding%20transformer" title="grounding transformer">grounding transformer</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-terminal%20transmission%20line" title=" multi-terminal transmission line"> multi-terminal transmission line</a>, <a href="https://publications.waset.org/abstracts/search?q=short%20circuit%20fault%20location" title=" short circuit fault location"> short circuit fault location</a>, <a href="https://publications.waset.org/abstracts/search?q=traveling%20wave%20velocity" title=" traveling wave velocity"> traveling wave velocity</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20farm" title=" wind farm"> wind farm</a> </p> <a href="https://publications.waset.org/abstracts/72681/improved-traveling-wave-method-based-fault-location-algorithm-for-multi-terminal-transmission-system-of-wind-farm-with-grounding-transformer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/72681.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">263</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1831</span> Aeration of Fish Pond Aquaculture Using Wind Power </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fatima%20Hassan%20Mohamed%20Ahmed">Fatima Hassan Mohamed Ahmed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study discusses the possibility techniques of using wind energy to operate the aeration devices which are used in the intensive fish farm for Nile Tilapia. The main objective is to show at what expense this renewable energy source can increase the production. The study was done for the oxygen consumption by 1 kg fishes of tilapia put in 1 m3. The theoretical study shows that the fishes consume around 0.5 gO2/hour when using paddle wheels with average oxygen transfer rate 2.6 kgO2/kW.h comparing this with dissolved oxygen consumed by fishes it was found that 1 kW will aerate 5200 m3 and the same power will aerate 1800 m3 when using air diffuser system with average oxygen transfer rate 0.9 kgO2/kW.h, this power can be supplied by the wind turbine with dimension with a tower 6 m high and diameter 2.7 m. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=aeration" title="aeration">aeration</a>, <a href="https://publications.waset.org/abstracts/search?q=fish%20pond" title=" fish pond"> fish pond</a>, <a href="https://publications.waset.org/abstracts/search?q=wind" title=" wind"> wind</a>, <a href="https://publications.waset.org/abstracts/search?q=power" title=" power"> power</a> </p> <a href="https://publications.waset.org/abstracts/29828/aeration-of-fish-pond-aquaculture-using-wind-power" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29828.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">638</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=Zafarana%20wind%20farm&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=Zafarana%20wind%20farm&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=Zafarana%20wind%20farm&page=4">4</a></li> <li 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