thesis ergasias wind

wind thesis ergasias

• Student Projects and Theses

At the Institute for Wind Energy Systems, students can conduct student projects and/or final theses. This includes interdisciplinary projects, project and seminar theses as well as Bachelor's and Master's Theses. The task descriptions are elaborated in discussion with interested students. We certainly take into account your personal interests and skills.

We supervise students from all engineering disciplines such as Civil Engineering, Mechanical Engineering, Aerospace Engineering or Computational Engineering. An interdisciplinary background is very welcome. A strong interest and affinity to topics all around wind energy are requirements.

Allocation of student projects and theses

Offers for students in their bachelor's.

The Institute for Wind Energy Systems offers the following topics for students in their Bachelor's studies. The proposed tasks can be adapted individually according to the respective type of thesis (student project or Bachelor's Thesis) and the respective volume of work. We are also open for ideas and proposals of the students. Please contact us and we discuss how to proceed.

Introduction and Scope of Work

Principle stress directions vary in time under multiaxial loads. In brittle matrials (e. g. adhesives in wind turbine rotor blades or cast iron in rotor hubs), this results in fatigue damage that is not evenly distributed among material planes, but is concentrated around a single plane, which is called the critical plane.

In fatigue life calculations of such materials, the damage on the critical plane is governing, and not the accumulation of damage on all material planes, as would be the case for ductile materials. The identification of the critical plane is thus of utmost importance. However, that is linked with very high computational cost. In order to reduce the computation times, different optimisation algorithms have to be tested in the context of this Bachelor's Thesis.

Prior knowledge on fatigue life analysis is not necessarily required. Further details are given in the offer (in German only).

Requirements

• Prior experience in Matlab is required.

For uni-axial fatigue analyses, rainflow counting is a standard method for the counting of cycles. It yields reliable results at low computational cost. For multi-axial loads, the traditional rainflow counting schemes do only offer meaningful information on the identified cycles, if the principle stress directions are approximately constant over time. In that case, we speak of proportional loads.

For non-proportional loads, traditional rainflow counting algorithms can yield severe inaccuracies in fatigue life estimations. In this case, multi-axial rainflow count algorithms are required in order to improve the prediction accuracy. In this work, different variants of multi-axial rainflow counting are to be compared in the framework of benchmark examples.

Offers for Students in their Master's

The Institute for Wind Energy Systems offers the following topics for students in their Master's studies. The proposed tasks can be adapted individually according to the respective type of thesis (student project or Master's Thesis) and the respective volume of work. We are also open for ideas and proposals of the students. Please contact us and we discuss how to proceed.

In fatigue life calculations of such materials, the damage on the critical plane is governing, and not the accumulation of damage on all material planes, as would be the case for ductile materials. The identification of the critical plane is thus of utmost importance. However, that is linked with very high computational cost. In order to reduce the computation times, different optimisation algorithms have to be tested in the context of this work.

Buckling is a mechanism of stability failure in thin-walled structures which are exposed to compressive stresses. Buckling is a bifurcation problem, where large displacements perpendicular to the structure plane occur instantaneously. This phenomenon reduces the structural integrity of the respective structures dramatically, hence it is understood as failure. Since the growth in size of rotor blades is an ongoing trend, increasingly large structural parts are loaded by increasing loads. Consequently, the risk of buckling increases as well.

In the framework of this work, selected rotor blades in the multi-MW class have to be analysed with respect to their buckling resistance. For this purpose, 3D finite element analyses have to be carried out, including linear and nonlinear buckling analyses. If the task is conducted as a Master's Thesis, additional subtasks have to be investigated.

Further details are given in the offer.

• Ideal candidates have some basic experience in finite element application.

Contact for General Questions on Student Projects and Theses

Last Change: 08.09.22 Print

• © 2024:  Leibniz University Hannover
• Legal Information
• Data Privacy
• Accessibility Statement
• General Overview Studies
• Composite Lab
• Faculty of Civil Engineering and Geodetic Science

Wind Energy

On the Brightspace organization  Wind Energy - proposed master thesis projects  you can find all our thesis projects we are currently offering to students.You are of course also welcome to bring to us your suggestions for a project. In that case, please contact the staff member working in that subject area. Usually a master project is related to an ongoing research of the Wind Energy Research Group. Students who are registered in the Aerodynamics & Wind Energy MSc track, profile Aerodynamics, and in the FPP MSc track are also allowed to choose one of the wind energy thesis topics (and vice versa).

For general questions about thesis projects at the Wind Energy Group you can contact  Delphine de Tavernier .

Master Projects Aeroacoustics

Are you looking for a Master Thesis and have a solid background in Physics and Mathematics? Are you interested in aerodynamics, propulsion or wind‑energy and would like to work in Aeroacoustics?

Our group might be then a good choice for you! Aeroacoustics is becoming one of the most important challenges for engineers either approaching an industrial or an academic career in propulsion, wind energy and aerodynamics. Most of the companies working in collaboration with the AWEP department are increasingly asking for aeroacoustic knowledge and sponsoring studies for several applications ranging from wind‑turbine blades, aircraft design, jet noise etc.

We have a series of Master Projects available for you in the following subjects:

• Trailing‑edge noise reduction in wind‑turbines
• Porous materials for noise reduction
• Mitigation of installation effects in propeller aircraft
• Aeroacoustic of drones and engine noise reduction
• Ducted wind‑turbines for on‑shore application
• Noise reduction of future engines with boundary‑layer ingestion
• Personal Air Vehicles (PAV) and drone aeroacoustics
• Digital aircraft noise certification and flight-test uncertainties

Together with a growing interests in aeroacoustic studies of students of the Delft University of Technology, the master projects focusing on aeroacoustics are proposed to provide students with a broader knowledge of the noise sources and their measurements in wind tunnels by both lectures and laboratory activities. We have a team of faculty members and PhD candidates to help master students working with state of the art flow and noise measurement techniques. Are you looking for a fundamental study... for an industrial one... numerical or experimental and you just can’t decide? Do not hesitate, pass by for a short talk!

 ... need help or info? come visit us in Room 62‑5.07, Kluyverweg 1, 2629HS, Delft Experimental topics:  Dr. Daniele Ragni Numerical topics:  Dr. Francesco Avallone

M aster Projects Kite Power

Here  is the link to thesis projects related to kites.

Bart Zweers

System design of Hybrid Power Plant using Airborne Wind Energy in Grid-connected scenarios

Numerical study of wind-farm gravity waves: Impact of wind-farm configuration

Femke de Ridder

Comparison of the Lifting Line Free Vortex Wake method and the Blade Element Momentum method for the unsteady aerodynamics of a 15MW FOWT

Floortje van Gaalen

Quantifying the environmental footprint of offshore wind farm decommissioning

Georgios Kotsiras

Power Output Assessment of TetraSpar Floating Demonstrator: A Comparative Analysis between Actual Performance and Model Predictions

Harika Gurram

Investigate Aerodynamic Performance of a Counter-Rotating Wind Turbine

Investigation of wind turbine blade faults using drivetrain signals

Jung-Ting Chang

Impacts of Climate Change on Wind Farms in Europe

Kirsten Coutinho

Life cycle assessment of a soft-wing airborne wind energy system and its application within an off-grid hybrid power plant configuration

Lennard Mascini

The Integration of Mooring System Design with Floating Wind Farm Layout Optimization

Lisette van Es

A techno-economic methodology and analysis of combining offshore solar and offshore wind farms worldwide

Mark van Spronsen

Rigidized Subscale Leading Edge Inflatable Kite Wind Tunnel Test

Marlon van Crugten

Turbulent boundary layer trailing edge noise reduction by employing a porous add-on

Martijn Kanger

Quantifying windfarm-windfarm interactions using a modified RANS canopy model

Mathis Miroux

Computational Fluid Dynamics of a Floating Offshore Wind Turbine using OpenFoam: validation of the numerical model against test data

Mustafa Güverte

Experimental & Computational validation of Junction Flow for a Strut Braced Wing

Pascal Appel

Explainable AI for wind turbine fault detection

Roel Breure

The role of electrolysers in the ecosystem around the offshore wind landing sites in the Rotterdam port area beyond 2030.

Saiteja Ravi

Analysing and optimizing the value of Hybrid renewable power plant interaction with GreenNH3 production in Future energy markets.

Sasha Chernyavskii

Characterisation of wind turbine blade dynamic loads under normal and fault conditions.

Veerle Witkop

Wind Farm Cable Routing Optimization for Floating Offshore Wind

Vince van Deursen

Advances in Dynamic Simulation Techniques for AWE Systems

Share this page:

• Simple Search
• Advanced Search
• Deposit an Item
• Deposit Instructions
• Instructions for Students

Thesis Files

Repository Staff Only: item control page

Wind Energy, Its Application, Challenges, and Potential Environmental Impact

• Living reference work entry
• Latest version View entry history
• First Online: 09 November 2021
• Cite this living reference work entry

• Muhammad Shahzad Nazir 4 ,
• Yeqin Wang 4 ,
• Muhammad Bilal 5 &
• Ahmad N. Abdalla 6  

65 Accesses

1 Citations

Government and legislative authorities around the globe are concerned about the pollution-related problems and criteria affecting the energy paradigm with ever-increasing environmental and socioeconomic knowledge. For example, the depletion of fossil-related resources, population, and ever-increasing energy demand are serious concerns and can be effectively addressed through strategies such as (1) raising awareness of global climate issues, (2) switching from a fossil-based economy to a bioeconomy, (3) revolutionizing current modalities of renewable energy, and (4) allowing the full utilization of energy. For instance, renewable energy resources such as wind, solar, and hydro are used to generate electricity to alleviate environmental concerns related to petrochemicals. The planet, at this point, needs prompt, equitable, practical, and effective climate action. Growing scientific evidence has been available for the use of renewable energy resources for decades. One of these common resources is the wind, which is presently emerging as an energy source around the world. Using wind power schemes, producing electricity can be an important substitute for traditional fossil-based fuel supplies using various modalities. While the initial costs for building a photovoltaic system are relatively high, the operational costs are also very low. With specific reference to Pakistan’s potential prospects, the environmental implications and major challenges of the technology model for the growth of wind power technology have been addressed here. The discussion is expected to foster dialogue among decision-makers and raise awareness of environmental characteristics and challenges related to the growth of Pakistan’s wind energy sector.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Similar content being viewed by others

Wind Energy, its Application, Challenges, and Potential Environmental Impact

Evolution of Renewable Energy in India: Wind and Solar

Abdalla AN, Nazir MS, Jiang M, Kadhem AA, Wahab NIA, Cao S, Ji R (2021) Metaheuristic searching genetic algorithm based reliability assessment of hybrid power generation system. Energy Explor Exploit 39 (1):488–501

Google Scholar  

Abedinia O, Lotfi M, Bagheri M, Sobhani B, Shafie-Khah M, Catalão JP (2020) Improved EMD-based complex prediction model for wind power forecasting. IEEE Trans Sustain Energy 11 (4):2790–2802

Abo-Elyousr FK, Abbas HS, Yousef AM, Quynh NV, Ali ZM, Nazir MS (2020) Oscillation damping for wind energy conversion system with doubly fed induction generator association with synchronous generator. Energies 13 (19):5067

Ahmed et al (2019) Dynamic modelling of grid-connected permanent magnet synchronous generator wind turbine: rectifier dynamics and control design. The Journal of Engineering 18 (2019):5202–5207

Al-Bashir A, Al-Dweri M, Al-Ghandoor A, Hammad B, Al-Kouz W (2020) Analysis of effects of solar irradiance, cell temperature and wind speed on photovoltaic systems performance. Int J Energy Econ Policy 10 (1):353

Al-Duais FS (2021) Bayesian analysis of record statistic from the inverse Weibull distribution under balanced loss function. Math Prob Eng 2021

Allers KN, Vos JM, Biller BA, Williams PK (2020) A measurement of the wind speed on a brown dwarf. Science 368 (6487):169–172

Aly HH (2020) A novel deep learning intelligent clustered hybrid models for wind speed and power forecasting. Energy 213 :118773

Anbarsooz M (2020) A numerical study on wind dams: A novel approach to enhance wind potential using natural barriers. Energy Convers Manag 205 :112454

Arshad M, O’Kelly B (2019) Global status of wind power generation: theory, practice, and challenges. Int J Green Energy 16 (14):1073–1090

Bai Y-T, Wang X-Y, Jin X-B, Zhao Z-Y, Zhang B-H (2020) A neuron-based kalman filter with nonlinear autoregressive model. Sensors 20 (1):299

Bowyer C, Kretschmer B (2010) Anticipated indirect land use change associated with expanded use of biofuels and bioliquids in the EU–an analysis of the national renewable energy action plans. Instit Eur Environ Pol 24

Chaudhary A, Sharma A, Kumar A, Dikshit K, Kumar N (2020) Short term wind power forecasting using machine learning techniques. J Stat Manag Syst 23 (1):145–156

De Caro F, De Stefani J, Bontempi G, Vaccaro A, Villacci D (2020) Robust assessment of short-term wind power forecasting models on multiple time horizons. Technol Econ Smart Grids Sustain Energy 5 (1):1–15

Deng X, Shao H, Hu C, Jiang D, Jiang Y (2020) Wind power forecasting methods based on deep learning: a survey. Comput Model Eng Sci 122 (1):273–302

Ding M, Zhou H, Xie H, Wu M, Liu K-Z, Nakanishi Y, Yokoyama R (2021) A time series model based on hybrid-kernel least-squares support vector machine for short-term wind power forecasting. ISA Trans 108 :58–68

Ferreira D, Freixo C, Cabral JA, Santos M (2019) Is wind energy increasing the impact of socio-ecological change on Mediterranean mountain ecosystems? Insights from a modelling study relating wind power boost options with a declining species. J Environ Manag 238 :283–295

Gundlach J, Knebusch J, Govers Y, Haller B (2020) Model-based displacement estimation of wind turbine blades using strain modal data. Paper presented at the Journal of Physics: Conference Series

Han Q, Ding Z, Sun W, Xu X, Chu F (2020) Hybrid triboelectric-electromagnetic generator for self-powered wind speed and direction detection. Sustain Energy Technol Asses 39 :100717

Hanifi S, Liu X, Lin Z, Lotfian S (2020) A critical review of wind power forecasting methods—past, present and future. Energies 13 (15):3764

Ji J, Ding Z, Xia X, Wang Y, Huang H, Zhang C et al (2020) System design and optimisation study on a novel CCHP system integrated with a hybrid energy storage system and an ORC. Complexity 2020

Kiel T, Varytis P, Beverungen B, Kristensen PT, Busch K (2021) Enhanced Faraday rotation by dielectric metasurfaces with Bayesian shape-optimized scatterers. Opt Lett 46 (7):1720–1723

Kosovic B, Haupt SE, Adriaansen D, Alessandrini S, Wiener G, Delle Monache L et al (2020) A comprehensive wind power forecasting system integrating artificial intelligence and numerical weather prediction. Energies 13 (6):1372

Lacal-Arántegui R (2019) Globalization in the wind energy industry: contribution and economic impact of European companies. Renew Energy 134 :612–628

Li L-L, Zhao X, Tseng M-L, Tan RR (2020) Short-term wind power forecasting based on support vector machine with improved dragonfly algorithm. J Clean Prod 242 :118447

Li W, Jia X, Li X, Wang Y, Lee J (2021) A Markov model for short term wind speed prediction by integrating the wind acceleration information. Renew Energy 164 :242–253

Lin Z, Liu X (2020) Wind power forecasting of an offshore wind turbine based on high-frequency SCADA data and deep learning neural network. Energy 201 :117693

Liu Z, Long Z (2020) A review of failure modes, condition monitoring and fault diagnosis methods for large-scale wind turbine bearings. Measurement 149 (2020):107002

Ma Z, Chen H, Wang J, Yang X, Yan R, Jia J, Xu W (2020) Application of hybrid model based on double decomposition, error correction and deep learning in short-term wind speed prediction. Energy Convers Manag 205 :112345

Malz E, Verendel V, Gros S (2020) Computing the power profiles for an Airborne Wind Energy system based on large-scale wind data. Renew Energy 162 :766–778

Măntoiu DŞ, Kravchenko K, Lehnert LS, Vlaschenko A, Moldovan OT, Mirea IC et al (2020) Wildlife and infrastructure: impact of wind turbines on bats in the Black Sea coast region. Eur J Wildl Res 66 (3):1–13

Moscariello et al (2020) Heat production and storage in Western Switzerland: advances and challenges of intense multidisciplinary geothermal exploration activities, an 8 years progress report. Proceedings World Geothermal Congress

Muhammad SN, Ziad MA, Muhammad B, Hafiz MS, Hafiz M (n.d.) Environmental impacts and risk factors of renewable energy paradigm-a review. Environ Sci Pollut Res Int

Naik S, Singh NK, Diwani Sagar Patidar DM, Panda TP (n.d.) Design of a wind vane system with anemometer using pic microcontroller

Nazir MS, Qi W (2020) Impact of symmetrical short-circuit fault on doubly-fed induction generator controller. Int J Electron 107 (12):2028–2043

Nazir MS, Mahdi AJ, Bilal M, Sohail HM, Ali N, Iqbal HM (2019) Environmental impact and pollution-related challenges of renewable wind energy paradigm–a review. Sci Total Environ 683 :436–444

Nazir MS, Abdalla N, A. (2020a) The robustness assessment of doubly fed induction generator-wind turbine during short circuit. Energy Environ 31 (4):570–582

Nazir MS, Abdalla AN, Wang Y, Chu Z, Jie J, Tian P et al (2020b) Optimization configuration of energy storage capacity based on the microgrid reliable output power. J Energy Storage 32 :101866

Nazir MS, Ali N, Bilal M, Iqbal HM (2020c) Potential environmental impacts of wind energy development: a global perspective. Curr Opin Environ Sci Health 13 :85–90

Nazir MS, Ali ZM, Bilal M, Sohail HM, Iqbal HM (2020d) Environmental impacts and risk factors of renewable energy paradigm—a review. Environ Sci Pollut Res :1–11

Nazir MS, Ali N, Yongfeng T, Abdalla AN, Nazir HMJ (2020e) Renewable energy based experimental study of doubly fed induction generator: fault case analysis. J Electric Syst 16 (2)

Nazir MS, Alturise F, Alshmrany S, Nazir H, Bilal M, Abdalla AN et al (2020f) Wind generation forecasting methods and proliferation of artificial neural network: a review of five years research trend. Sustainability 12 (9):3778

Nazir MS, Bilal M, Sohail HM, Liu B, Chen W, Iqbal HM (2020g) Impacts of renewable energy atlas: Reaping the benefits of renewables and biodiversity threats. Int J Hydrog Energy

Nazir MS, Wang Y, Mahdi AJ, Sun X, Zhang C, Abdalla AN (2020h) Improving the performance of doubly fed induction generator using fault tolerant control—a hierarchical approach. Appl Sci 10 (3):924

Nazir MS, Wang Y, Muhammad B, Hafiz MS, Kadhem AA, Nazir H et al (2020i) Comparison of small-scale wind energy conversion systems: economic indexes. Clean Technol 2 (2):144–155

Peng T, Zhang C, Zhou J, Nazir MS (2020a) Negative correlation learning-based RELM ensemble model integrated with OVMD for multi-step ahead wind speed forecasting. Renew Energy 156 :804–819

Peng T, Zhang C, Zhou J, Nazir MS (2020b) Negative correlation learning-based RELM ensemble model integrated with OVMD for multi-step ahead wind speed forecasting. Renew Energy

Peng T, Zhang C, Zhou J, Nazir MS (2021) An integrated framework of Bi-directional long-short term memory (BiLSTM) based on sine cosine algorithm for hourly solar radiation forecasting. Energy 221 :119887

Santhosh M, Venkaiah C, Vinod Kumar D (2020) Current advances and approaches in wind speed and wind power forecasting for improved renewable energy integration: a review. Eng Rep 2 (6):e12178

Shetty RP, Sathyabhama A, Pai PS (2021) An efficient online sequential extreme learning machine model based on feature selection and parameter optimization using cuckoo search algorithm for multi-step wind speed forecasting. Soft Comput 25 (2):1277–1295

Shuba ES, Kifle D (2018) Microalgae to biofuels:‘Promising’alternative and renewable energy, review. Renew Sust Energ Rev 81 :743–755

Srivastava T, Tripathi M (2020) Predictive analysis of narx, nlio, and rnn networks for short-term wind power forecasting. In: Advances in data sciences, security and applications. Springer, pp 45–62

Sun M, Feng C, Zhang J (2020a) Probabilistic solar power forecasting based on weather scenario generation. Appl Energy 266 :114823

Sun H, Gao X, Yang H (2020b) A review of full-scale wind-field measurements of the wind-turbine wake effect and a measurement of the wake-interaction effect. Renew Sust Energ Rev 132 :110042

Tran TT, Ozer E (2021) Synergistic bridge modal analysis using frequency domain decomposition, observer Kalman filter identification, stochastic subspace identification, system realization using information matrix, and autoregressive exogenous model. Mech Syst Signal Process 160 :107818

Viet DT, Phuong VV, Duong MQ, Tran QT (2020) Models for short-term wind power forecasting based on improved artificial neural network using particle swarm optimization and genetic algorithms. Energies 13 (11):2873

Wang C, Zhang H, Ma P (2020) Wind power forecasting based on singular spectrum analysis and a new hybrid Laguerre neural network. Appl Energy 259 :114139

Wu Z, Xia X, Xiao L, Liu Y (2020) Combined model with secondary decomposition-model selection and sample selection for multi-step wind power forecasting. Appl Energy 261 :114345

Yao F, Liu W, Zhao X, Song L (2020) Integrated machine learning and enhanced statistical approach-based wind power forecasting in Australian Tasmania wind farm. Complexity 2020

Ye L, Zhao Y, Zeng C, Zhang C (2017) Short-term wind power prediction based on spatial model. Renew Energy 101:1067–1074. https://doi.org/10.1016/j.renene.2016.09.069

Article   Google Scholar  

Yuan Q, Shen H, Li T, Li Z, Li S, Jiang Y et al (2020) Deep learning in environmental remote sensing: achievements and challenges. Remote Sens Environ 241 :111716

Zhang C, Peng T, Zhou J, Nazir MS (2021) Parameter identification and uncertainty quantification of a non-linear pump-turbine governing system based on the differential evolution adaptive Metropolis algorithm. IET Renew Power Generation 15 (2):342–353

Download references

Acknowledgments

Authors acknowledge the Huaiyin Institue of Technology for the literature facility and library access support.

Conflict of Interest

Authors declare no potentional confilict of intrest.

Author information

Authors and affiliations.

Faculty of Automation, Huaiyin Institute of Technology, Huai’an, China

Muhammad Shahzad Nazir & Yeqin Wang

School of Life Science and Food Engineering, Huaiyin Institute of Technology, Huai’an, China

Muhammad Bilal

School of Information and Communication Engineering, Huaiyin Institute of Technology, Huai’an, China

Ahmad N. Abdalla

You can also search for this author in PubMed   Google Scholar

Corresponding authors

Correspondence to Muhammad Shahzad Nazir or Yeqin Wang .

Editor information

Editors and affiliations.

Institute of Chemical Engineering, Vienna University of Technology, Vienna, Austria

Maximilian Lackner

Department of Chemical Engineering, The University of Mississippi, Oxford, USA

Baharak Sajjadi

Department of Chemical Engineering, The University of Mississippi, Oxford, MS, USA

Wei-Yin Chen

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Science+Business Media, LLC, part of Springer Nature

About this entry

Cite this entry.

Nazir, M.S., Wang, Y., Bilal, M., Abdalla, A.N. (2022). Wind Energy, Its Application, Challenges, and Potential Environmental Impact. In: Lackner, M., Sajjadi, B., Chen, WY. (eds) Handbook of Climate Change Mitigation and Adaptation. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6431-0_108-2

Download citation

DOI : https://doi.org/10.1007/978-1-4614-6431-0_108-2

Received : 22 April 2021

Accepted : 15 June 2021

Published : 09 November 2021

Publisher Name : Springer, New York, NY

Print ISBN : 978-1-4614-6431-0

Online ISBN : 978-1-4614-6431-0

eBook Packages : Springer Reference Chemistry and Mat. Science Reference Module Physical and Materials Science Reference Module Chemistry, Materials and Physics

• Publish with us

Policies and ethics

Chapter history

DOI: https://doi.org/10.1007/978-1-4614-6431-0_108-2

DOI: https://doi.org/10.1007/978-1-4614-6431-0_108-1

• Find a journal
• Track your research

At the Institute for Wind Energy Systems , students can conduct student projects and/or final theses. This includes interdisciplinary projects, project and seminar theses as well as Bachelor's and Master's Theses.

MW total capacity. [3] Globally, wind power capacity has grown to 743 gigawatts (GW), with the U.S. trailing China as the world’s second largest wind energy producer. Several countries have reached high levels of wind penetration with Denmark supplying nearly 50% of its total electricity production with wind . [2]

Students who are registered in the Aerodynamics & Wind Energy MSc track, profile Aerodynamics, and in the FPP MSc track are also allowed to choose one of the wind energy thesis topics (and vice versa). For general questions about thesis projects at the Wind Energy Group you can contact Delphine de Tavernier. Master Projects Aeroacoustics

These investigations provide the analytical and experimental foundations for future studies of unsteady atmospheric flows, and will lead to the development of principles and techniques for wind - farm siting , control, and optimization.

This thesis is dedicated to developing an innovative bladeless wind turbine concept, inspired by the challenges faced by Galloping Gertie, formally known as the Tacoma Narrows Bridge , which...

This thesis aims to give an insight in the historic cost trends and developments of offshore wind energy in the main five countries deploying this technology Europe. It has been done by analysing 86 operational offshore wind farms commissioned after 2000 till the ones under development that will be ready before the end of 2022.

Nowadays, clean electricity produced by wind turbines makes them stand in the epicenter of green energy transition. The fact that velocities and wind flow are respectively higher and more uniform above sea than onshore renders coastal and offshore grounds more suitable for power production. The growing

Posted 1:00:49 PM. Job DescriptionThe energy transition necessitates a substantial expansion of wind energy, requiring…See this and similar jobs on LinkedIn.

Wind energy has become the first choice for new energy development under its advantages of clean, pollution-free, recyclable, low cost, and convenient access (Nazir et al. 2020b).

Student Projects and Theses; At the Institute for Wind Energy Systems, students can conduct student projects and/or final theses. This includes interdisciplinary projects, project

• Simple Search
• Advanced Search
• Deposit an Item
• Deposit Instructions
• Instructions for Students

Thesis Files

Repository Staff Only: item control page

Integration of large wind farms to weak power grids

Downloadable content.

• Givaki, Kamyab
• Strathclyde Thesis Copyright
• University of Strathclyde
• Doctoral (Postgraduate)
• Doctor of Philosophy (PhD)
• Centre for Doctoral Training in Wind Energy Systems
• Department of Electronic and Electrical Engineering
• Power grids are changing significantly with the introduction of large amounts of renewable energy (especially wind) into the system. Integration of wind energy into the grid is challenging as, firstly it increases penetration stresses when compared to conventional generation as the wind is intermittent and fluctuates in power output. Secondly, most of the wind farms are located in offshore or rural areas which have good wind conditions. The grid in these regions is not normally strong. Most of the modern variable speed wind turbines use voltage source converters (VSCs) for grid integration. However, integrating VSCs to weak power grids will cause instability when a large amount of active power is transferred to the grid. In this thesis, the integration of wind farms to very weak power grids is investigated. A multiple input, multiple output (MIMO) model of the grid side VSC of a wind turbine is developed in the frequency domain in which the d-axis of the synchronous reference frame (SRF) is aligned with the grid voltage. Then, this model has been used as the basis for modelling the multiple parallel converters in the frequency domain. In this thesis, to improve the stability of the very weak grid connected of VSCs, a control method based on the d- and q- axis current error is introduced. This controller compensates the output angle of the phase locked loop (PLL) and the voltage amplitude of the converter. Using this controller, full rated active power transfer and fault ride-through are achieved under very weak grid connection. Furthermore, a stabiliser controller based on virtual impedance is proposed in this thesis to achieve stable operation of a very weak grid connected VSC. This stabilising control method enables the VSC to operate at full power and to ride-through faults under very weak grid conditions. Based on this principle, an external device is proposed that can be utilised and connected to a weak point of the grid to allow a large amount of VSC interfaced power generation (e.g. wind power) to be connected to the grid without introducing stability issues.
• Doctoral thesis
• 10.48730/vcsz-sz87
• 9912581488502996