Relevant bibliographies by topics / Wind farm performance modeling

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Wind farm performance modeling'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Wind farm performance modeling"

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Chen, Debin, Binbin Cheng, Dexin Li, Zhouyu Li, Tianye Zhao, and Jiasheng Zhang. "Design and Development of Wind Turbine Performance Analysis System Modeling." Journal of Physics: Conference Series 2179, no. 1 (2022): 012025. http://dx.doi.org/10.1088/1742-6596/2179/1/012025.

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Abstract Wind turbines have been subjected to alternating loads for a long time, and the working environment is harsh, and their performance gradually deteriorates over time. Therefore, it is very necessary to understand the operating status of each component of the wind turbine unit through detailed evaluation of its performance through the monitoring data of the wind turbine unit.This paper designs and develops a wind turbine performance analysis software system based on the related business processes and functional requirements of wind farms. The system can calculate all the indicators rela
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Distribution, of weibull, Elyaqouti Mustapha, Bouhouch Lahoussine, and Ihlal Ahmed. "Evaluation of the Energy Performance of the Amougdoul Wind Farm, Morocco." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 2 (2017): 692–705. https://doi.org/10.11591/ijece.v7i2.pp692-705.

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This paper is concerned with the assessment of the the performance of the Amougdoul wind farm. We have determined the Weibull parameters; namely the scale parameter, c (m/s) and shape parameter, k. After that, we have estimated energy output by a wind turbine using two techniques: the useful power calculation method and the method based on the modeling of the power curve, which is respectively 134.5 kW and 194.19 KW corresponding to 27% and 39% of the available wind energy, which confirm that the conversion efficiency does not exceed 40%.
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Smits, Coen-Jan, Jean Gonzalez Silva, Valentin Chabaud, and Riccardo Ferrari. "A FAST.Farm and MATLAB/Simulink interface for wind farm control design." Journal of Physics: Conference Series 2626, no. 1 (2023): 012069. http://dx.doi.org/10.1088/1742-6596/2626/1/012069.

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Abstract Increasing the efficiency of wind farms is important for speeding up the transition from fossil fuels to renewable energy sources. Current wind farm control relies on maximization of power generation of individual turbines. However, research has demonstrated that plant-wide wind farm control could optimize the performance of a wind farm. Wind farm simulation tools are crucial in designing, testing, and validating wind farm controls. FAST.Farm is a recently developed multi-physics engineering tool for modeling wind farm performance by solving the aero-hydro-servoelastic dynamics of eac
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Bhatt, Aditya H., Mireille Rodrigues, Federico Bernardoni, Stefano Leonardi, and Armin Zare. "Stochastic Dynamical Modeling of Wind Farm Turbulence." Energies 16, no. 19 (2023): 6908. http://dx.doi.org/10.3390/en16196908.

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Low-fidelity engineering wake models are often combined with linear superposition laws to predict wake velocities across wind farms under steady atmospheric conditions. While convenient for wind farm planning and long-term performance evaluation, such models are unable to capture the time-varying nature of the waked velocity field, as they are agnostic to the complex aerodynamic interactions among wind turbines and the effects of atmospheric boundary layer turbulence. To account for such effects while remaining amenable to conventional system-theoretic tools for flow estimation and control, we
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Milan, Patrick, Matthias Wächter, and Joachim Peinke. "Stochastic modeling and performance monitoring of wind farm power production." Journal of Renewable and Sustainable Energy 6, no. 3 (2014): 033119. http://dx.doi.org/10.1063/1.4880235.

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Farrell, Alayna, Jennifer King, Caroline Draxl, et al. "Design and analysis of a wake model for spatially heterogeneous flow." Wind Energy Science 6, no. 3 (2021): 737–58. http://dx.doi.org/10.5194/wes-6-737-2021.

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Abstract. Methods of turbine wake modeling are being developed to more accurately account for spatially variant atmospheric conditions within wind farms. Most current wake modeling utilities are designed to apply a uniform flow field to the entire domain of a wind farm. When this method is used, the accuracy of power prediction and wind farm controls can be compromised depending on the flow-field characteristics of a particular area. In an effort to improve strategies of wind farm wake modeling and power prediction, FLOw Redirection and Induction in Steady State (FLORIS) was developed to imple
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Teng, Jian, and Corey D. Markfort. "A Calibration Procedure for an Analytical Wake Model Using Wind Farm Operational Data." Energies 13, no. 14 (2020): 3537. http://dx.doi.org/10.3390/en13143537.

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Wind energy is one of the fastest growing renewable energy sources in the U.S. Wind turbine wakes change the flow field within wind farms and reduce power generation. Prior research has used experimental and computational methods to investigate and model wind farm wake effects. However, these methods are costly and time-consuming to use commercially. In contrast, a simple analytical approach can provide reasonably accurate estimates of wake effects on flow and power. To reducing errors in wake modeling, one must calibrate the model based on a specific wind farm setting. The purpose of this res
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HUSSEIN, ASHRAF S., and HISHAM E. EL-SHISHINY. "MODELING AND SIMULATION OF MICRO-SCALE WIND FARMS USING HIGH PERFORMANCE COMPUTING." International Journal of Computational Methods 09, no. 02 (2012): 1240025. http://dx.doi.org/10.1142/s0219876212400257.

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Onshore wind farms usually consist of numerous horizontal axis wind turbines closely placed in clusters, and they are often cited on complex terrain. This paper proposes a computational framework for modeling and simulation of wind flow over micro-scale (and early meso-scale) wind farms using distributed memory, massively parallel high performance computing platforms. The present framework uses the Reynolds Averaged Navier–Stokes (RANS) to model the wind flow over the wind farms, as the flow is considered to be fully turbulent, isothermal and incompressible. The wind turbines installed in the
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Visbech, Jens, Tuhfe Göçmen, Özge Sinem Özçakmak, Alexander Meyer Forsting, Ásta Hannesdóttir, and Pierre-Elouan Réthoré. "Aerodynamic effects of leading-edge erosion in wind farm flow modeling." Wind Energy Science 9, no. 9 (2024): 1811–26. http://dx.doi.org/10.5194/wes-9-1811-2024.

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Abstract. Leading-edge erosion (LEE) can significantly impact the aerodynamic performance of wind turbines and thereby the overall efficiency of a wind farm. Typically, erosion is modeled for individual turbines where aerodynamic effects only impact the energy production through degraded power curves. For wind farms, aerodynamic deficiency has the potential to also alter wake dynamics, which will affect the overall energy production. The objective of this study is to demonstrate this combined effect by coupling LEE damage prediction and aerodynamic loss modeling with steady-state wind farm flo
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Lefebvre, Pierre, Isabelle Roy, Marc Tremblay, and Sophie Gagnon. "Multi-Scale Numerical Simulation and Optimization Strategies for Wind Farm Layouts in High-Altitude Regions." Energy & System 4, no. 1 (2024): 21–33. https://doi.org/10.71070/es.v4i1.19.

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This study explores the optimization of wind farm layouts in high-altitude regions using a multi-scale numerical simulation approach integrated with advanced optimization strategies. Data were collected from various wind farms in the Tibetan Plateau and the Himalayan region, including wind speed, direction, air density, temperature, and terrain elevation over a five-year period. The research methodology comprised data preprocessing, wind flow modeling via Computational Fluid Dynamics (CFD) and the turbulence model, wind turbine performance modeling based on the Betz limit and Jensen wake model
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Dissertations / Theses on the topic "Wind farm performance modeling"

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Ebenhoch, Raphael. "Simplified modeling of wind-farm flows." Thesis, KTH, Strömningsfysik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177309.

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Abstact: In order to address the wind-industry's need for a new generation of more advanced wake models, which accurately quantify the mean flow characteristics within a reasonably CPU-time, the two-dimensional analytical approach by Belcher et al. (2003) has been extended to a three-dimensional wake model. Hereby, the boundary-layer approximation of the Navier-Stokes equations has been linearized around an undisturbed baseflow, assuming that the wind turbines provoke a small perturbation of the velocity field. The conducted linearization of the well established actuator-disc theory brought va
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Haugsten, Hansen Thomas. "Offshore Wind Farm Layouts : Performance Comparison for a 540 MW Offshore Wind Farm." Thesis, Norwegian University of Science and Technology, Department of Electrical Power Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9990.

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<p>This master thesis has been written at the Department of Electric Power Engineering at the Norwegian University of Science and Technology. The work has been carried out at the Royal Institute of Technology in Stockholm, where the author spent the last year of his studies as an exchange student. In the thesis, six different designs of the electrical grid of a 540 MW offshore wind farm, placed 100km off the Norwegian coast, have been studied and compared. At this distance, AC cable transmission might be difficult because of the reactive power production in the cables. Taking this into consid
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Li, Simeng. "WIND ARRAY PERFORMANCE EVALUATION MODEL FOR LARGE WIND FARMS AND WIND FARM LAYOUT OPTIMIZATION." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1405080318.

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Zhou, Fengquan 1969. "Modeling and analysis of wind farm impacts on power systems." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=82650.

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The wind energy industry has undergone a dramatic transformation during the last decade. The total operating wind power capacity in the world has increased greatly. As more and more attention is paid to the increase in both the size and number of wind farms, a number of problems should be investigated in more detail. The voltage stability problem primarily focuses on the reactive power management that affects voltage stability and transmission losses. Wind power farm installations that have the potential to displace a large percentage of fossil-fuel generation must be designed to avoid
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Karlsson, Rikard. "Power system performance when implementing dynamic rating on a wind farm connected transformer." Thesis, KTH, Elektroteknisk teori och konstruktion, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215949.

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In this study, dynamic transformer rating (DTR) is applied on a medium power transformer thatis in use in the regional transmission grid. The transformer’s rated apparent power is 63 MVA, itis connected between a wind farm at 22kV and the grid, K¨orsb¨arsdalen, at 135kV. Power systemanalysis are carried out on the grid, with the objective to test how DTR and increased wind poweraffects the grid performance with respect to reliability, voltage stability and active losses.Historical measurements of ambient temperature and transformer loading is used to calculatefree transformer capacity based on
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Skolthanarat, Siriya. "The Modeling and Control of a Wind Farm and Grid Interconnection in a multi-machine system." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/28920.

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This dissertation focuses on the modeling and control of WECS (Wind Energy Conversion System) in a multi-machine system. As one of the fastest growing renewable energy resources, the trend of wind energy changes to variable speed wind turbines. The concept of the variable speed is based on the variable speed according to the instantaneous wind speed of wind turbines. Since the utility grid requires the stable frequency and magnitude voltages, there must be grid interconnection of the wind farm and the utility grid. The grid interconnection must support the concept of the variable speed wind tu
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Stival, Leandro Jose Lemes. "A study on wind assessment on the wind power performance : wind shear and turbulence intensity effects besides the wake modeling for a single wind turbine." reponame:Repositório Institucional da UFPR, 2017. http://hdl.handle.net/1884/49088.

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Orientador : Prof. Dr. Alexandre Kolodynskie Guetter<br>Coorientador : Prof. Dr. Fernando Oliveira Andrade<br>Dissertação (mestrado) - Universidade Federal do Paraná, Setor de Tecnologia, Programa de Pós-Graduação em Engenharia de Recursos Hídricos e Ambiental. Defesa: Curitiba, 04/04/2017<br>Inclui referências : f.91-97<br>Resumo: A energia eólica cresceu significativamente, porém a eficiência de geração da fonte eólica gira em torno de 30% da energia cinética disponível no vento. Por este motivo é de extrema importância que estudos sejam elaborados afim de aumentar a eficiência na geração de
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Zhang, Haibo. "Analysis and performance enhancement of a series parallel offshore wind farm topology integrated into a HVDC grid." Thesis, Lille 1, 2017. http://www.theses.fr/2017LIL10156/document.

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L'exploitation de l'énergie éolienne loin des côtes, bien qu'abondante, dépend du transport de puissance en Courant Continu Haute Tension (HVDC) qui nécessite une sous-station placée sur une plateforme dédiée. Cette plate-forme offshore étant volumineuse, son cout d'installation est élevé et sa mise en œuvre est compliquée. Cette thèse s'intéresse à une topologie de ferme éolienne offshore DC qui transporte son énergie vers l'onshore sans utiliser de sous-station offshore. Ce type de Ferme Eolienne est appelé Ferme Eolienne Série Parallèle (SPWF). Il est composé de plusieurs grappes d'éolienne
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Danish, Farzana. "Examination of the Performance of AERMOD Model under Different Wind Conditions." University of Toledo / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1188493032.

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Huang, Qiuyi. "Wind Turbine Performance Assessment Modeling Using Machine Learning Method for Condition Based Maintenance." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-253276.

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This thesis work proposes a performance assessment framework to estimateoperation states of wind turbines for the sake of condition monitoring. Theframework uses the data in the supervisory control and data acquisition systemsas original input and some machine learning methods including K-NearestNeighbour, K-Means Clustering, Support Vector Machine and Artificial NeuralNetwork are implemented to analyze the data. The framework mainly consistsof three stages: power curve prediction, real time power tracking and turbineperformance assessment. At the first stage, two main methods including quarti
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Books on the topic "Wind farm performance modeling"

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LLC, Liberty Wind. Sand Canyon wind farm modeling and measurement: Final report. Liberty Wind LLC, 2008.

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P.S. Barnett & Associates Ltd. and New Zealand. Energy Efficiency and Conservation Authority., eds. Wind farm financial performance in New Zealand: A case study. The Authority, 1994.

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Mossa, Mohmoud. Modeling, Analysis and Enhancement of the Performance of a Wind Driven Dfig During Steady State and Transient Conditions. Diplomica Verlag, 2014.

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Book chapters on the topic "Wind farm performance modeling"

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Trujillo, J. J., Arne Wessel, I. Waldl, and Bernhard Lange. "Online Modeling of Wind Farm Power for Performance Surveillance and Optimization." In Wind Energy. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-33866-6_29.

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Ouyang, Weijin, Bing Zhao, Yueqi Qiao, Heng Li, Dingshan Deng, and Shen Zhang. "Analysis of the Influence of Preload Loading Deviation of Pitch Bearing Bolt Group on the Contact Stress of Rolling Elements." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-7887-4_54.

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Abstract This paper aims to study the influence of bolt preload distribution on structural performance in the bolted connection structure model of pitch bearings of wind turbines. The preload application deviation and the change of contact stress of the rolling element of the pitch bearing were analyzed by finite element modeling. The results show that the bolt preload loading deviation will cause the rolling element contact stress of the pitch bearing to fluctuate, and the rolling element contact stress near the blade is greater than the rolling element contact stress far away from the blade.
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Li, Yan, Ningbo Wang, Linjun Wei, and Qiang Zhou. "Control of Wind Farm Clusters." In Modeling and Modern Control of Wind Power. John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119236382.ch10.

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Mohammadpour, Hossein Ali, and Enrico Santi. "Modeling of DFIG-Based Wind Farm for SSR Analysis." In Analysis of Sub-synchronous Resonance (SSR) in Doubly-fed Induction Generator (DFIG)-Based Wind Farms. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-031-02501-3_2.

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Batista, N. C., R. Melício, V. M. F. Mendes, J. Figueiredo, and A. H. Reis. "Darrieus Wind Turbine Performance Prediction: Computational Modeling." In IFIP Advances in Information and Communication Technology. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37291-9_41.

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Bousla, Mohamed, Ali Haddi, Youness El Mourabit, Ahmed Sadki, Abderrahman Mouradi, and Abderrahman El Kharrim. "Optimizing Wind Farm Performance in Northern Morocco with Weibull Distribution." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-68653-5_43.

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Arastoopour, Hamid, Dimitri Gidaspow, and Robert W. Lyczkowski. "Multiphase Flow Modeling of Wind Turbine Performance Under Rainy Conditions." In Mechanical Engineering Series. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68578-2_11.

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Mazur, Damian, Lesław Gołębiowski, Andrzej Smoleń, Marek Gołębiowski, and Zygmunt Szczerba. "Modeling and Analysis of the AFPM Generator in a Small Wind Farm System." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11187-8_16.

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Boyko, Taras, Mariia Ruda, Elvira Dzhumelia, Orest Kochan, and Ivan Salamon. "Mathematical Modeling of States of a Complex Landscape System with a Wind Farm." In Advances in Computer Science for Engineering and Education VI. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-36118-0_69.

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Yamada, Tetsuji, and Teizi Henmi. "HOTMAC: Model Performance Evaluation by Using Project WIND Phase I and II Data." In Mesoscale Modeling of the Atmosphere. American Meteorological Society, 1994. http://dx.doi.org/10.1007/978-1-935704-12-6_12.

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Conference papers on the topic "Wind farm performance modeling"

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Chelaru, Bogdan, and Catalin Onutu. "BIM APLICATIONS IN THE DESIGN OF DEEP FOUNDATIONS FOR WIND TURBINES." In SGEM International Multidisciplinary Scientific GeoConference 24. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/6.1/s27.50.

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This paper outlines three key processes: 3D modeling based on the technical records, data mapping to objects in the Building Information Modelling (BIM) model, and data extraction from the model. Access to energy is a critical concern on the modern society, but equally important of how the energy is obtained. The methods used should be efficient enough to minimize adverse environmental impact, which holds significant importance in today�s energy production landscape. In the case of non-load-bearing subsoil, high structural loads or special requirements of the building, a deep foundation with d
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Li, Guohua, and Randy Dinata. "Achieving Stable Hydrogen Deliveries from Renewable Sources in Pipelines." In CONFERENCE 2024. AMPP, 2024. https://doi.org/10.5006/c2024-20942.

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Abstract Hydrogen production from a renewable energy source (e.g., solar and wind farms) via electrolysis can fluctuate significantly due to power variability. However, a stable hydrogen delivery is crucial for processes requiring hydrogen as a feedstock such as ammonia synthesis plants. Ensuring a steady hydrogen flow into these chemical plants via a pipeline can be a challenge. Hydraulic transient models can be utilized to design a pipeline system promoting stable delivery flows. Three example cases representing fluctuating renewable power sources of solar, wind, and combined solar and wind
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Zhou, Xin, Junzhen Peng, Jinling Qi, Li Zhang, Yihua Zhu, and Chao Luo. "Aggregate Equivalent Modeling of Wind Farm under Full Wind Speed Scenarios." In 2025 8th International Conference on Energy, Electrical and Power Engineering (CEEPE). IEEE, 2025. https://doi.org/10.1109/ceepe64987.2025.11033789.

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Su, Keye, and Donald Bliss. "Wind Farm Performance Improvement by Using Wake Transport." In Vertical Flight Society 72nd Annual Forum & Technology Display. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11583.

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Wake shielding on wind farms substantially reduces the efficiency of downstream wind turbines due to the interaction with the energy-depleted wakes from upwind turbines. This research considers a method to mitigate the wake shielding effect by tilting the turbine axes upward producing a download that causes streamwise vorticity so that the energy depleted wakes transport upward alleviating shielding, and pumping more energetic fluid into downstream turbines. The wake steering effect for tipped turbines is verified and the degree of effectiveness is assessed. The simulations utilize a specially
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Lei, Lei, Yi Zhang, Shunfen Li, Long Qian, and Yanhan Hu. "Analysis and Optimization of Wind Farm Operational Performance." In 2025 IEEE 8th Information Technology and Mechatronics Engineering Conference (ITOEC). IEEE, 2025. https://doi.org/10.1109/itoec63606.2025.10968431.

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Karp, Ivan, and Chris Qin. "Data-Driven Modeling of Wind Farm Power and Revenue Generation." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825628.

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Erlich, I., B. Gessesse, and F. Shewarega. "Modelling and performance analysis of wind farms: A case study of the ashegoda wind farm in Ethiopia." In 2012 IEEE Power & Energy Society Conference and Exposition in Africa: Intelligent Grid Integration of Renewable Energy Resources (PowerAfrica 2012). IEEE, 2012. http://dx.doi.org/10.1109/powerafrica.2012.6498635.

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Xie, Zhen, Zhongwei Lin, Zhenyu Chen, et al. "Control-Oriented Wind Farm Wake Modeling with Near Wake Performance and LES Validation." In 2020 Chinese Automation Congress (CAC). IEEE, 2020. http://dx.doi.org/10.1109/cac51589.2020.9326797.

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Xia, Junrong, Pan Zhao, and Yiping Dai. "Operation and Simulation of Hybrid Wind and Gas Turbine Power System Employing Wind Power Forecasting." In ASME Turbo Expo 2012: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/gt2012-68824.

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Due to the intermittence and fluctuation of wind resource, the integration of large wind farms in a power grid introduces an additional stochastic component to power system scheduling. This always brings challenges to maintain the stability of power system. Integrating gas turbine units with wind farms can compensate their output fluctuation. In this paper, a methodology for the operation scheduling of a hybrid power system that consists of a large wind farm and gas turbine units is presented. A statistical model based on numerical weather prediction is used to forecast power output of the win
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Safaeian, Reza, Seyyedmilad Ebrahimi, and Mostafa Parniani. "Performance improvement of steady-state and transient operation of offshore wind farm HVDC power transmission." In 2015 IEEE 16th Workshop on Control and Modeling for Power Electronics (COMPEL). IEEE, 2015. http://dx.doi.org/10.1109/compel.2015.7236505.

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Reports on the topic "Wind farm performance modeling"

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Barnard, J. C., and H. L. Wegley. A preliminary evaluation of the performance of wind tunnel and numerical modeling simulations of the wind flow over a wind farm. Office of Scientific and Technical Information (OSTI), 1987. http://dx.doi.org/10.2172/6983532.

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Jordan, J. M., G. P. Flach, and M. L. Westbrook. PORFLOW Modeling Supporting The H-Tank Farm Performance Assessment. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1060770.

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Wharton, S., V. Bulaevskaya, Z. Irons, G. Qualley, J. F. Newman, and W. O. Miller. Wind Power Curve Modeling Using Statistical Models: An Investigation of Atmospheric Input Variables at a Flat and Complex Terrain Wind Farm. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1223839.

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Tinnesand, Heidi, and Latha Sethuraman. Distributed Wind Resource Assessment Framework: Functional Requirements and Metrics for Performance and Reliability Modeling. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1514852.

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Anathan, Sheryas, Alan Williams, James Overfelt, et al. Demonstration and performance testing of extreme-resolution simulations with static meshes on Summit (CPU & GPU) for a parked-turbine con%0Cfiguration and an actuator-line (mid-fidelity model) wind farm con%0Cfiguration. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1706223.

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Keeney, Roman, and Thomas Hertel. GTAP-AGR: A Framework for Assessing the Implications of Multilateral Changes in Agricultural Policies. GTAP Technical Paper, 2005. http://dx.doi.org/10.21642/gtap.tp24.

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Global models of agricultural trade have a long and distinguished history. The introduction of the GTAP data base and modeling project represented a significant advance forward as it put modelers and trade policy analysts on common ground. After an initial generation of GTAP based modeling of agricultural trade policy using the standard modeling framework, individual researchers have begun introducing agricultural specificity into the standard modeling framework in order to better capture the particular features of the agricultural economy pertinent to their research questions. This technical
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Malej, Matt, Fengyan Shi, Nigel Tozer, et al. FUNWAVE-TVD testbed : analytical, laboratory, and field cases for validation and verification of the phase-resolving nearshore Boussinesq-type numerical wave model. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49183.

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Over the last couple of decades, advancements in high-performance computing have allowed phase-resolving, Boussinesq-type numerical wave models to be more practical in addressing nearshore coastal wave processes. As such, the open-source Fully Nonlinear Wave model–Total Variation Diminishing (FUNWAVE-TVD) numerical wave model has become more ubiquitous across all scientific and engineering-focused R&amp;D organizations, including academic, government, and industry partners. In collaboration with the US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory; the Univer
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Kwon, Jaymin, Yushin Ahn, and Steve Cheung. Spatio-Temporal Analysis of the Roadside Transportation-Related Air Quality (StarTraq 2022): Data-Driven Exposure Analysis by Transportation Modes. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2220.

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Particulate matter (PM) pollution poses significant health risks, influenced by various meteorological factors and seasonal variations. This study investigates the impact of temperature and other meteorological variables on PM10 and PM2.5 levels in Fresno County, known for high air pollution. Multiple linear regression (MLR) and generalized additive models (GAMs) assess the significance of these relationships. Analyzing data from Fresno County, we examine PM10 and PM2.5 levels across "hot" (June to August) and "cool" (September to May) seasons. Findings indicate PM10, both MLR and GAM models i
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Vollmer, David, Sandra LaGrand, and Theodore Letcher. Establishing a selection of dust event case studies for regions in the Global South. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49344.

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Airborne dust is an essential component of climatological and biogeochemical processes. Blowing dust can adversely affect agriculture, transportation, air quality, sensor performance, and human health. Therefore, the accurate characterization and forecasting of dust events is a priority for air quality researchers and operational weather centers. While dust detection and prediction capabilities have evolved over the preceding decades, the weather modeling community must continue to improve the location and timing of individual dust event fore-casts, especially for extreme dust outbreaks. Accor
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Mosalam, Khalid, Amarnath Kasalanati, and Grace Kang. PEER Annual Report 2016. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2017. http://dx.doi.org/10.55461/anra5954.

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The Pacific Earthquake Engineering Research Center (PEER) is a multi-institutional research and education center with headquarters at the University of California, Berkeley. PEER’s mission is to develop, validate, and disseminate performance-based seismic design technologies for buildings and infrastructure to meet the diverse economic and safety needs of owners and society. The year 2016 began with a change of leadership at PEER. On January 1, Professor Khalid Mosalam became the new PEER Director as Professor Stephen Mahin completed his 6- year term. Also in early 2016, Dr. Yousef Bozorgnia s
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