929 resultados para System reliability index


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The design and development of simulation models and tools for Demand Response (DR) programs are becoming more and more important for adequately taking the maximum advantages of DR programs use. Moreover, a more active consumers’ participation in DR programs can help improving the system reliability and decrease or defer the required investments. DemSi, a DR simulator, designed and implemented by the authors of this paper, allows studying DR actions and schemes in distribution networks. It undertakes the technical validation of the solution using realistic network simulation based on PSCAD. DemSi considers the players involved in DR actions, and the results can be analyzed from each specific player point of view.

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Mestrado em Engenharia Electrotécnica – Sistemas Eléctricos de Energia

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Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Civil na Área de Especialização de Estruturas

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The problem of uncertainty propagation in composite laminate structures is studied. An approach based on the optimal design of composite structures to achieve a target reliability level is proposed. Using the Uniform Design Method (UDM), a set of design points is generated over a design domain centred at mean values of random variables, aimed at studying the space variability. The most critical Tsai number, the structural reliability index and the sensitivities are obtained for each UDM design point, using the maximum load obtained from optimal design search. Using the UDM design points as input/output patterns, an Artificial Neural Network (ANN) is developed based on supervised evolutionary learning. Finally, using the developed ANN a Monte Carlo simulation procedure is implemented and the variability of the structural response based on global sensitivity analysis (GSA) is studied. The GSA is based on the first order Sobol indices and relative sensitivities. An appropriate GSA algorithm aiming to obtain Sobol indices is proposed. The most important sources of uncertainty are identified.

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Demand response can play a very relevant role in the context of power systems with an intensive use of distributed energy resources, from which renewable intermittent sources are a significant part. More active consumers participation can help improving the system reliability and decrease or defer the required investments. Demand response adequate use and management is even more important in competitive electricity markets. However, experience shows difficulties to make demand response be adequately used in this context, showing the need of research work in this area. The most important difficulties seem to be caused by inadequate business models and by inadequate demand response programs management. This paper contributes to developing methodologies and a computational infrastructure able to provide the involved players with adequate decision support on demand response programs and contracts design and use. The presented work uses DemSi, a demand response simulator that has been developed by the authors to simulate demand response actions and programs, which includes realistic power system simulation. It includes an optimization module for the application of demand response programs and contracts using deterministic and metaheuristic approaches. The proposed methodology is an important improvement in the simulator while providing adequate tools for demand response programs adoption by the involved players. A machine learning method based on clustering and classification techniques, resulting in a rule base concerning DR programs and contracts use, is also used. A case study concerning the use of demand response in an incident situation is presented.

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The intensive use of distributed generation based on renewable resources increases the complexity of power systems management, particularly the short-term scheduling. Demand response, storage units and electric and plug-in hybrid vehicles also pose new challenges to the short-term scheduling. However, these distributed energy resources can contribute significantly to turn the shortterm scheduling more efficient and effective improving the power system reliability. This paper proposes a short-term scheduling methodology based on two distinct time horizons: hour-ahead scheduling, and real-time scheduling considering the point of view of one aggregator agent. In each scheduling process, it is necessary to update the generation and consumption operation, and the storage and electric vehicles status. Besides the new operation condition, more accurate forecast values of wind generation and consumption are available, for the resulting of short-term and very short-term methods. In this paper, the aggregator has the main goal of maximizing his profits while, fulfilling the established contracts with the aggregated and external players.

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Corrosion of reinforcement bars in concrete structures is the most significant deterioration mechanism in these structures. Corrosion is extremely difficult to predict and, consequently, can be regarded as an unpredictable event. Following this, robustness assessment methods can be employed to define the susceptibility of a structure to corrosion. In this work, robustness is measured in terms of the remaining safety of a deteriorated structure. The proposed methodology is illustrated by means of a reinforced concrete (RC) slab subjected to dead and live loads. The performance of the corroded slab is evaluated using non-linear analysis. The reliability index is adopted to assess the safety of the deteriorated structure. To compute the reliability index a strategy combining the First Order Reliability Method (FORM) and the Response Surface Method (RSM) is used.

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Old timber structures may show significant variation in the cross section geometry along the same element, as a result of both construction methods and deterioration. As consequence, the definition of the geometric parameters in situ may be both time consuming and costly. This work presents the results of inspections carried out in different timber structures. Based on the obtained results, different simplified geometric models are proposed in order to efficiently model the geometry variations found. Probabilistic modelling techniques are also used to define safety parameters of existing timber structures, when subjected to dead and live loads, namely self-weight and wind actions. The parameters of the models have been defined as probabilistic variables, and safety of a selected case study was assessed using the Monte Carlo simulation technique. Assuming a target reliability index, a model was defined for both the residual cross section and the time dependent deterioration evolution. As a consequence, it was possible to compute probabilities of failure and reliability indices, as well as, time evolution deterioration curves for this structure. The results obtained provide a proposal for definition of the cross section geometric parameters of existing timber structures with different levels of decay, using a simplified probabilistic geometry model and considering a remaining capacity factor for the decayed areas. This model can be used for assessing the safety of the structure at present and for predicting future performance.

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How many times a given process p preempts, either voluntarily or involuntarily, is an important threat to computer's processes throughput. Whenever running cpu-bound processes on a multi-core system without an actual system grid engine as commonly found on Grid Clusters, their performance and stability are directly related to their accurate implementation and the system reliability which is, to an extend, an important caveat most of the times so difficult to detect. Context Switching is time-consuming. Thus, if we could develop a tool capable of detecting it and gather data from every single performed Context Switch, we would beable to study this data and present some results that should pin-point at whatever their main cause could be.

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Micro-electromechanical systems (MEMS) provide vast improvements over existing sensing methods in the context of structural health monitoring (SHM) of highway infrastructure systems, including improved system reliability, improved longevity and enhanced system performance, improved safety against natural hazards and vibrations, and a reduction in life cycle cost in both operating and maintaining the infrastructure. Advancements in MEMS technology and wireless sensor networks provide opportunities for long-term continuous, real-time structural health monitoring of pavements and bridges at low cost within the context of sustainable infrastructure systems. The primary objective of this research was to investigate the use of MEMS in highway structures for health monitoring purposes. This study focused on investigating the use of MEMS and their potential applications in concrete through a comprehensive literature review, a vendor survey, and a laboratory study, as well as a small-scale field study. Based on the comprehensive literature review and vendor survey, the latest information available on off-the-shelf MEMS devices, as well as research prototypes, for bridge, pavement, and traffic applications were synthesized. A commercially-available wireless concrete monitoring system based on radio-frequency identification (RFID) technology and off-the-shelf temperature and humidity sensors were tested under controlled laboratory and field conditions. The test results validated the ability of the RFID wireless concrete monitoring system in accurately measuring the temperature both inside the laboratory and in the field under severe weather conditions. In consultation with the project technical advisory committee (TAC), the most relevant MEMS-based transportation infrastructure research applications to explore in the future were also highlighted and summarized.

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Diplomityön tehtävänä oli tutkia paalinmuodostajassa esiintyvien vikojen aiheuttajia ja antaa mahdollinen korjausehdotus vian aiheuttajan poistamiseksi. Tämä työ jakaantuu kolmeen osa-alueeseen: 1. hydraulisen toiminnan selvittäminen, 2. mittausten tekeminen, tulosten tulkinta ja vikahistoriatietojen tarkasteleminen, 3. ongelmakohtien selvittäminen ja parannusehdotuksien esittäminen ongelmien ratkaisemiseksi. Diplomityön pohjana käytettiinpiirustuksia sekä CMT-Solutionin ja Metson tekemiä kunnonvalvontamittauksia. Patruunatekniikalla toteutetun hydraulijärjestelmän vian perussyytä etsittäessä onselvitettävä komponenttien ja järjestelmän toiminta kunnonvalvontamittausten avulla. Paalinmuodostajien hydraulijärjestelmien tulisi olla toimivia, luotettaviaja taloudellisia. Hydraulijärjestelmässa käytettävien komponenttien tulisi ollamyös keskenään yhteensopivia, turvallisia ja luotettavia toiminnaltaan, helposti huollettavia sekä vaivattomasti saatavilla olevia. Komponenttien, joita mahdollisesti vaihdetaan on oltava yhteensopivia M-realin jo varastossa olevien komponenttien kanssa. Näin vältetään varastoon muodostumasta useita erilaisia komponenttiyhdistelmiä, jotka turhaan kuormittavat varastomääriä ja lisäävät sitoutuneenpääoman määrää. Työssäni pyrin myös parannusehdotuksia antaessani mahdollisimman yksinkertaiseen ja taloudelliseen ratkaisuun M-realin kannalta. Diplomityön tulosten pohjalta kokeiltiin muutamia muutoksia eri kohtiin hydraulijärjestelmässä. Osa alustavista muutoksista toteutettiin Metson ja STH-Service/Simo Suppasen toimesta. Nähtäväksi jää onko näillä toimenpiteillä ollut vaikutusta hydraulijärjestelmän luotettavuuteen.

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Contexto Una central nuclear, al igual que cualquier otro tipo de central generadora de energía eléctrica, mediante turbinas de vapor, está basada en un proceso termodinámico. El rendimiento de las mismas es función del salto entálpico del vapor, para mejorarlo las centrales están constituidas por un ciclo compound formado por turbina de alta presión y turbinas de baja presión, y un ciclo regenerativo consistente en calentar el agua de alimentación antes de su introducción a los generadores de vapor. Un ciclo regenerativo está basado en etapas de calentadores o cambiadores de calor para aprovechar al máximo la energía térmica del vapor, este proyecto está basado en la mejora y optimización del proceso de control de estos para contribuir a mejorar el rendimiento de la central. Objetivo Implementar un sistema de control que nos permita modernizar los clásicos sistemas basados en controles locales y comunicaciones analógicas. Mejorar el rendimiento del ciclo regenerativo de la central, aprovechando las mejoras tecnológicas que ofrece el mercado, tanto en el hardware como en el software de los sistemas de instrumentación y control. Optimizar el rendimiento de los lazos de control de cada uno de los elementos del ciclo regenerativo mediante estrategias de control. Procedimiento Desarrollo de un sistema de control actualizado considerando, como premisa principal, la fiabilidad del sistema, el análisis de fallos y la jerarquización del riesgo. Análisis y cálculo de los lazos de control considerando las premisas establecidas. Configuración de los lazos mediante estrategias de control que nos permitan optimizar y minimizar los efectos del fallo. Para ello se han utilizado parámetros y datos extraídos de la Central Nuclear de Ascó. Conclusiones Se ha modernizado y optimizado el sistema de control mejorando el rendimiento del ciclo regenerativo. Se ha conseguido un sistema más fiable, reduciendo el riesgo del fallo y disminuyendo los efectos de los mismos. El coste de un proyecto de estas características es inferior al de un sistema convencional y ofrece más posibilidades. Es un sistema abierto que permite utilizar e interconectar equipos de diferentes fabricantes, lo que favorece tanto el mantenimiento como las posibles ampliaciones futuras del sistema.

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Tutkimuksen tavoitteena oli kehittää toimitusvalvontaa ja toimittaja-arviointia metsäteollisuuden kunnossapitoyrityksen toiminnanohjausjärjestelmän sekä toimintatapojen osalta. Tutkimus toteutettiin haastattelemalla yrityksen eri yksiköiden hankintaorganisaatioita sekä valittuja toimittajia ja sidosryhmiä. Tutkimuksessa myös tutustuttiin kohdeyrityksen SAP R/3 -järjestelmän nykyisiin hyödynnettyihin ja hyödyntämättömiin ominaisuuksiin. Työn teoreettinen viitekehys perustui hankintatoiminnan ja kunnossapidon kehityssuuntien sekä soveltuvien teknologisten ratkaisujen tarkasteluun kunnossapitoyrityksen toimintaympäristössä. Tutkimuksessa havaittuja kehitystarpeita arvioitiin järjestelmäasiantuntijoiden ja muodostetun laatukustannusten laskentamallin avulla. Toimittaja-arviointi rajattiin tutkimuksessa koskemaan toimitusvarmuuden ja laatupoikkeamien jatkuvaa, keskitettyä raportoinnin työkalujen hyödyntämistä. Toimitusvalvonnan parantamiseksi arvioitiin kunnossapitotoimintaan ja kunnossapidon hankintoihin soveltuvaa ratkaisua. Kehitysehdotuksia ja suosituksia ilmeni useita ja ne ryhmiteltiin kohdeyrityksen kannalta helposti toteutettaviin tai toimintamalleista johtuviin, kohtalaisia muutoksia vaativiin ja suuria muutoksia vaativiin hankkeisiin.

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Data transmission between an electric motor and a frequency converter is required in variablespeed electric drives because of sensors installed at the motor. Sensor information can be used for various useful applications to improve the system reliability and its properties. Traditionally, the communication medium is implemented by an additional cabling. However, the costs of the traditional method may be an obstacle to the wider application of data transmission between a motor and a frequency converter. In any case, a power cable is always installed between a motor and a frequency converter for power supply, and hence it may be applied as a communication medium for sensor level data. This thesis considers power line communication (PLC) in inverter-fed motor power cables. The motor cable is studied as a communication channel in the frequency band of 100 kHz−30 MHz. The communication channel and noise characteristics are described. All the individual components included in a variable-speed electric drive are presented in detail. A channel model is developed, and it is verified by measurements. A theoretical channel information capacity analysis is carried out to estimate the opportunities of a communication medium. Suitable communication and forward error correction (FEC) methods are suggested. A general method to implement a broadband and Ethernet-based communication medium between a motor and a frequency converter is proposed. A coupling interface is also developed that allows to install the communication device safely to a three-phase inverter-fed motor power cable. Practical tests are carried out, and the results are analyzed. Possible applications for the proposed method are presented. A speed feedback motor control application is verified in detail by simulations and laboratory tests because of restrictions for the delay in the feedback loop caused by PLC. Other possible applications are discussed at a more general level.

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In this paper, we report a preliminary analysis of the impact of Global Navigation Satellite System Reflections (GNSS-R) data on ionospheric monitoring over the oceans. The focus will be on a single polar Low Earth Orbiter (LEO) mission exploiting GNSS-R as well as Navigation (GNSS-N) and Occultation (GNSS-O) total electron content (TEC) measurements. In order to assess impact of the data, we have simulated GNSS-R/O/N TEC data as would be measured from the LEO and from International Geodesic Service (IGS) ground stations, with an electron density (ED) field generated using a climatic ionospheric model. We have also developed a new tomographic approach inspired by the physics of the hydrogen atom and used it to effectively retrieve the ED field from the simulated TEC data near the orbital plane. The tomographic inversion results demonstrate the significant impact of GNSS-R: three-dimensional ionospheric ED fields are retrieved over the oceans quite accurately, even as, in the spirit of this initial study, the simulation and inversion approaches avoided intensive computation and sophisticated algorithmic elements (such as spatio-temporal smoothing). We conclude that GNSS-R data over the oceans can contribute significantly to a Global/GNSS Ionospheric Observation System (GIOS). Index Terms Global Navigation Satellite System (GNSS), Global Navigation Satellite System Reflections (GNSS-R), ionosphere, Low Earth Orbiter (LEO), tomography.