Submitted by Nadir Basilio (nadirsb@uninove.br) on 2016-08-16T15:12:26Z No. of bitstreams: 1 Armando Nascimento Neto.pdf: 2186740 bytes, checksum: 2e1ab3e623e0c926eec3dc97a9f9b806 (MD5) / Made available in DSpace on 2016-08-16T15:12:26Z (GMT). No. of bitstreams: 1 Armando Nascimento Neto.pdf: 2186740 bytes, checksum: 2e1ab3e623e0c926eec3dc97a9f9b806 (MD5) Previous issue date: 2016-03-28 / This research project aimed to study the challenges related to sustainability of logistics costs to the economic sustainable development by the deployment of wind towers in Brazil. The country has the need to expand the energy matrix and for this important growth invests in cleaner energy. New technologies are developed for power generation from renewable sources and Brazil is still very dependent on hydroelectric energy with the aggravation of water problems observed in the last decade, the shortage of water for hydroelectric power generation in Brazil has been compromised. The rulers, needing to meet the need for resources to meet the needs of the population, and economic and social growth. Studies and research in wind engineering, always showed the gigantic features of the equipment, their quality and their importance, bias and its drawbacks. However are not easily identified the various costs involved that allow the construction of a wind farm, forwarding to this context, it was in this dissertation a differentiated approach, seeking to identify for analytical sampling the logistic costs driven by the regional difference of structures where large manufacturers are in southeastern Brazil or abroad and the parks intended for the generation of wind energy are largely established in the North and northeast of Brazil. The study of sustainable economic development of these parks often focuses on energy generation and not in the formation of the parks. By studying a wind farm, the logistics of wind equipment interesting part of review and sought by means of this study verify gaps that may influence the economic sustainability in the construction of a wind farm. / O presente projeto de pesquisa teve por objetivo estudar os desafios relacionados aos custos de sustentabilidade de logística para o desenvolvimento sustentável econômico junto à implantação de torres eólicas no Brasil. O País tem a necessidade de expandir a matriz energética e para este crescimento importante investe em energia mais limpa. Novas tecnologias são desenvolvidas para geração de energia de fontes renováveis e o Brasil ainda é muito dependente da energia das hidrelétricas com o agravante dos problemas hídricos que se observou na última década, a escassez de água a geração de energia pelas hidrelétricas brasileiras ficou comprometida. Os governantes, precisando atender à necessidade de recursos para satisfazer as necessidades da população, e o crescimento econômico e social. Estudos e pesquisas na área de engenharia eólica, sempre mostraram as características gigantescas desses equipamentos, sua qualidade e seu viés de importância, e suas desvantagens. Entretanto não são facilmente identificados os mais diversos custos envolvidos que permitem a construção de um parque eólico, encaminhando para este contexto, tratou-se nessa dissertação um enfoque diferenciado, buscando identificar por uma amostragem analítica o custo logístico motivado pela diferença regional de estruturas onde grandes fabricantes encontram - se no sudeste brasileiro ou no exterior e os parques destinados à geração de energia dos ventos encontram-se em sua grande maioria estabelecidos no norte e nordeste brasileiro. Os estudo do desenvolvimento sustentável econômico destes parques muitas vezes se concentram na geração da energia e não na formação dos parques. Ao estudar um parque eólico, encontrou-se na logística dos equipamentos eólicos parte interessante de analise e, buscou-se por meio deste estudo verificar lacunas que podem influenciar na sustentabilidade econômica na construção de um parque eólico.

Abstract   The permit application process for offshore wind farms (OWF) in Sweden conceivably requires a comprehensive and transparent complement within risk management. The NETEP framework (covering risks concerning navigation, economics, technology, environment and politics), based on a futures planning mechanism (STEEP) has consequently been brought forward as a structure for the application of FMECA (Failure Mode, Effects, and Criticality Analysis) methodology to the permit application process of the Swedish offshore wind farm sector. FMECA, originating from the aeronautical and automobile industries, presents a systematic method for the prediction of future failure in a product, part or process, to evaluate the consequences of that failure and to suggest possible measures for its mitigation or eradication. Its application to attitude and acceptance, safety and environmental effect remains, however, limited which creates the research gap for this thesis. Three Swedish offshore wind farm (OWF) projects in the Baltic Sea area (Lillgrund, Taggen and Trolleboda) were put forward as case studies for use in the evaluation of the proposed FMECA-NETEP methodology, which was approached in two stages. The first evaluation stage results showed that the model accommodates the precautionary principle, the consideration of stakeholder viewpoints, the mitigation of negative effects, the analysis of alternative sites, the observation of relevant legislation and the utilisation of contemporary research. In the subsequent stage of evaluation, the factor for incorporation into the adapted model was intra- and inter-sector cumulative impact. Results showed that positive cumulative impact cannot be illustrated by the model whereas neutral and negative cumulative impact can.  The model’s added value is that it facilitates decision making by providing a rigorous, transparent and structured methodology, the holistic approach of which provides a sound basis for the incorporation of contemporary research.

Wind farm layout optimization is a multidisciplinary undertaking, requiring students and researchers to integrate many skillsets in order to optimize turbine placement. There is currently a lack of useful benchmarking exercises for participants in the field to compare the efficacy of their methods. This work details the construction and completion of a set of four case studies meant to satisfy this need, with the hope of providing some insight into useful layout optimization approaches. These case studies are intended to also serve as instructive introductory exercises with which newcomers researching wind energy may incrementally practice and increase their abilities.The first two case studies were released globally and attracted participants from around the world who attempted the optimization problems. A detailed analysis of their results is presented herein.The second two case studies are currently being worked on by researchers in the field, with initial feed back regarding the formulations also included.

Wind farm layout optimization is a multidisciplinary undertaking, requiring students and researchers to integrate many skillsets in order to optimize turbine placement. There is currently a lack of useful benchmarking exercises for participants in the field to compare the efficacy of their methods. This work details the construction and completion of a set of four case studies meant to satisfy this need, with the hope of providing some insight into useful layout optimization approaches. These case studies are intended to also serve as instructive introductory exercises with which newcomers researching wind energy may incrementally practice and increase their abilities.The first two case studies were released globally and attracted participants from around the world who attempted the optimization problems. A detailed analysis of their results is presented herein.The second two case studies are currently being worked on by researchers in the field, with initial feed back regarding the formulations also included.

As demand for wind power continues to grow, it is becoming increasingly important to minimize the risk, characterized by the variance, that is associated with long-term power forecasts. This thesis investigated variance reduction in power forecasts from wind farm layout optimization.The problem was formulated as a multi-objective optimization one of maximizing mean-plant-power and minimizing variance. The ε−constraint method was used to solve the bi-objectiveproblem in a two-step optimization framework where two sequential optimizations are performed. The first is maximizing mean wind farm power alone and the second, minimizing variance with a constraint on the mean power which is the value from the first optimization. The results show that the variance in power estimates can be reduced by up to 30%, without sacrificing mean-plant-power for the different farm sizes and wind conditions studied. This reduction is attributed to the multi-modality of the design space which allows for unique solutions of high mean plant power at different power variances. Thus, wind farms can be designed to maximize power capture with greater confidence.

During the last decades the exploitation of energy from the wind has become one of the most promising renewable energy technologies. The main strive in today’s development of wind turbines is to increase the efficiency of the turbine and to build bigger rotors that are able to extract more power out of the wind. When it comes to the planning and designing of a wind park, also the aerodynamic interactions between the single turbines must be taken into account. The flow in the wake of the first row turbines is characterized by a significant deficit in wind velocity and by increased levels of turbulence. Consequently, the downstream turbines in a wind farm cannot extract as much power from the wind anymore. Furthermore, the additional turbulence in the wake could be a reason for increased material fatigue through flow-induced vibrations at the downstream rotor. The main focus of this experimental study is to investigate the local velocity deficit and the turbulence intensities in the wake behind an array of two model wind turbines. For two different turbine separation distances, the wake is scanned at three different downstream positions. The experiments are performed at the wind tunnel (1.9m x 2.7m cross section) at NTNU Trondheim using two model wind turbines with a rotor diameter of 0.9m. A hot wire probe is used to scan the wake behind the model turbines in defined positions. Moving axially downstream the velocity deficit in the wake gradually recovers and the turbulence intensity levels slowly decrease. Furthermore, a gentle expansion of the wake can be observed. The wake profiles measured in close distances behind the rotor are characterized by evident asymmetries. Further downstream in the wake turbulent diffusion mechanisms cause a more uniform and more symmetrical flow field. Moreover, the turbulence intensity behind the second wind turbine is found to be significantly higher than behind one unobstructed turbine. Also, considerably higher velocity deficits are found in the near wake behind the second turbine compared to the wake behind one unobstructed turbine. However, the velocity profile at five rotor diameters downstream in the wake behind the second turbine is already very similar to the velocity distribution behind the first turbine. Furthermore, the velocity field and turbulence intensity distribution in the wake behind the second turbine is more symmetrical and more uniform than behind the first turbine.

The increasing global participation of wind power in the overall generation ca- pacity makes it one of the most promising renewable resources. Advances in power electronics have enabled this market growth and penetration. Through a literature review, this work explores the challenges and opportunities presented by offshore wind farms, as well as the different solutions proposed concerning power electron- ics converters, collection and transmission schemes, as well as control and protection techniques. A novel power converter solution for the parallel connection of high power offshore wind turbines, suitable for HVDC collection and transmission, is presented. For the parallel operation of energy sources in an HVDC grid, DC link voltage con- trol is required. The proposed system is based on a full-power rated uncontrolled diode bridge rectifier in series with a partially-rated fully-controlled thyristor bridge rectifier. The thyristor bridge acts as a voltage regulator to ensure the flow of the desired current through each branch, where a reactor is placed in series for filtering of the DC current. AC filters are installed on the machine side to mitigate harmonic content. The mathematical modeling of the system is derived and the control design procedure is discussed. Guidelines for equipment and device specifications are pre- sented. Different setups for an experimental framework are suggested and discussed, including a conceptual application for hardware-in-the-loop real-time simulation and testing.

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Subsynchronous oscillations (SSO) were an issue that occurred in the past with conventional generators and were studied extensively throughout the years. However, with the rise of inverter-based resources, a new form of SSO emerged under the name subsynchronous control interaction (SSCI). More specifically, a resonance case occurs between Type-3 wind turbines and series compensation that can damage equipment within the wind farm and disrupt power generation. This work explores the types of SSCI and the various analysis methods as well as mitigation of SSCI. The work expands on the concept of frequency scan to be able to use it in an on-line setting with its output data used to mitigate SSCI through the modification of wind turbine parameters. Multiple frequency scans are conducted using PSCAD/EMTDC software to build a lookup table and harmonic injection is used in a parallel configuration to obtain the impedance of the system. Once the impedance of the system is obtained then the value of the parameters is adjusted using the look-up table. Harmonic injection is optimized through phase shifts to ensure minimal disruption of the steady-state operating point and is conducted using Python programming language with PSCAD Automation Library. Simulation results demonstrate the effectiveness of this approach by ensuring oscillations do not grow exponentially in comparison to the regular operation of the wind farm. / Master of Science / Due to climate change concern and the depletion of fossil fuel resources, electrical power generation is shifting towards renewables such as solar and wind energy. Wind energy can be obtained using wind turbines that transform wind energy into electrical energy, these wind turbines come in four different types. Type-3 wind turbines are the most commonly used in the industry which use a special configuration of the classical induction generator. These wind turbines are typically installed in a distant location which makes it more difficult to transfer energy from its location to populated areas, hence, series capacitors can be used to increase the amount of transferred energy. However, these series capacitors can create a phenomenon called subsynchronous control interaction (SSCI) with Type-3 wind turbines. In this phenomenon, energy is exchanged back and forth between the series capacitors and the wind turbines causing the current to grow exponentially which leads to interruptions in service and damage to major equipments within the wind turbine. This work explores SSCI, the tools to study it, and the currently available mitigation methods. It also presents a method to identify the cases where SSCI can happen and mitigates it using adjustable parameters.