Previsão de curto prazo do consumo de energia elétrica

Dissertação para a obtenção do grau de Mestre em Engenharia Electrotécnica - Ramo de Energia

Análise do produtor-consumidor enquanto interveniente da rede elétrica inteligente

Dissertação para obtenção do grau de Mestre em Engenharia Electrotécnica Ramo de Energia

Análise do mercado de serviços de regulação de frequência secundária e terciária no sistema eléctrico português

Dissertação para obtenção do grau de Mestre em Engenharia Electrotécnica Ramo Energia

Assessment of the environmental radiation by in situ gamma ray spectrometry

Naturally occurring radioactive materials (NORM) under certain conditions can reach hazardous radiological levels contributing to an additional exposure dose to ionizing radiation. Most environmental concerns are associated with uranium mining and milling sites, but the same concerns should be addressed to natural near surface occurrences of uranium as well as man-made sources such as technologically enhanced naturally occurring radioactive materials (TENORM) resulting from phosphates industry, ceramic industry and energy production activities, in particular from coal-fired power plants which is one of the major sources of increased exposure to man from enhanced naturally occurring materials. This work describes the methodology developed to assess the environmental radiation by in situ gamma spectrometry in the vicinity of a Portuguese coal fired power plant. The current investigation is part of a research project that is undergoing in the vicinity of Sines Coal-Fired Power Plant (south of Portugal) until the end of 2013.

Impact of the Meteorology Conditions on the Particulate Matter Dispersion from an Industrial Complex into Urban and Suburban Areas

The aim of this work was to assess the influence of meteorological conditions on the dispersion of particulate matter from an industrial zone into urban and suburban areas. The particulate matter concentration was related to the most important meteorological variables such as wind direction, velocity and frequency. A coal-fired power plant was considered to be the main emission source with two stacks of 225 m height. A middle point between the two stacks was taken as the centre of two concentric circles with 6 and 20 km radius delimiting the sampling area. About 40 sampling collectors were placed within this area. Meteorological data was obtained from a portable meteorological station placed at approximately 1.7 km to SE from the stacks. Additional data was obtained from the electrical company that runs the coal power plant. These data covers the years from 2006 to the present. A detailed statistical analysis was performed to identify the most frequent meteorological conditions concerning mainly wind speed and direction. This analysis revealed that the most frequent wind blows from Northwest and North and the strongest winds blow from Northwest. Particulate matter deposition was obtained in two sampling campaigns carried out in summer and in spring. For the first campaign the monthly average flux deposition was 1.90 g/m2 and for the second campaign this value was 0.79 g/m2. Wind dispersion occurred predominantly from North to South, away from the nearest residential area, located at about 6 km to Northwest from the stacks. Nevertheless, the higher deposition fluxes occurred in the NW/N and NE/E quadrants. This study was conducted considering only the contribution of particulate matter from coal combustion, however, others sources may be present as well, such as road traffic. Additional chemical analyses and microanalysis are needed to identify the source linkage to flux deposition levels.

Reatores de fusão: confinamento magnético e confinamento inercial

Dissertação para a obtenção do grau de Mestre em Engenharia Eletrotécnica Ramo de Energia

Otimização estocástica para a exploração de centrais de concentração solar considerando incerteza e risco

Dissertação para obtenção do grau de Mestre em Engenharia Eletrotécnica

Compensação da energia reactiva com minimização de perturbações sobre a rede eléctrica

Trabalho Final de Mestrado para a obtenção de grau de Mestre em Engenharia Electrotécnica Ramo de Automação e Electrónica Industrial

Autoconsumo fotovoltaico, um elemento de eficiência energética. Caso de estudo: ISEP

Mestrado em Energias Sustentáveis

Avaliação da gestão da segurança do processo na central de ciclo combinado da Tapada do Outeiro e propostas de melhoria

A Gestão da Segurança do Processo consiste na implementação de procedimentos para controlar os perigos resultantes de fabrico, manuseamento e utilização de substâncias perigosas e da utilização de sistemas sob pressão em instalações industriais, pelo que se torna numa ferramenta de Gestão muito importante na indústria. Pela pesquisa realizada, a Gestão da Segurança do Processo é um tema pouco desenvolvido no nosso país, embora esteja diretamente relacionada com a Diretivas Seveso. Como colaborador da Central de Ciclo Combinado da Tapada do Outeiro, propus-me a avaliar a Gestão da Segurança do Processo na Central. A Direção da Central apoiou o tema, reservando a confidencialidade do trabalho final devido a assuntos sensíveis do negócio. Como resultado final do Projeto temos a avaliação da Gestão da Segurança do Processo na Central de Ciclo Combinado da Tapada do Outeiro, permitindo à gestão da Central identificar oportunidades para melhorar a efetividade do cumprimento deste objetivo.

Smart Grid Market Using Joint Energy and Ancillary Services Bids

The power systems operation in the smart grid context increases significantly the complexity of their management. New approaches for ancillary services procurement are essential to ensure the operation of electric power systems with appropriate levels of stability, safety, quality, equity and competitiveness. These approaches should include market mechanisms which allow the participation of small and medium distributed energy resources players in a competitive market environment. In this paper, an energy and ancillary services joint market model used by an aggregator is proposed, considering bids of several types of distributed energy resources. In order to improve economic efficiency in the market, ancillary services cascading market mechanism is also considered in the model. The proposed model is included in MASCEM – a multi-agent system electricity market simulator. A case study considering a distribution network with high penetration of distributed energy resources is presented.

Cost Allocation Model for Distribution Networks Considering High Penetration of Distributed Energy Resources

The high penetration of distributed energy resources (DER) in distribution networks and the competitiveenvironment of electricity markets impose the use of new approaches in several domains. The networkcost allocation, traditionally used in transmission networks, should be adapted and used in the distribu-tion networks considering the specifications of the connected resources. The main goal is to develop afairer methodology trying to distribute the distribution network use costs to all players which are usingthe network in each period. In this paper, a model considering different type of costs (fixed, losses, andcongestion costs) is proposed comprising the use of a large set of DER, namely distributed generation(DG), demand response (DR) of direct load control type, energy storage systems (ESS), and electric vehi-cles with capability of discharging energy to the network, which is known as vehicle-to-grid (V2G). Theproposed model includes three distinct phases of operation. The first phase of the model consists in aneconomic dispatch based on an AC optimal power flow (AC-OPF); in the second phase Kirschen’s andBialek’s tracing algorithms are used and compared to evaluate the impact of each resource in the net-work. Finally, the MW-mile method is used in the third phase of the proposed model. A distributionnetwork of 33 buses with large penetration of DER is used to illustrate the application of the proposedmodel.

Load Profiling Tool to Support Smart Grid Operation Scenarios

This paper presents the characterization of high voltage (HV) electric power consumers based on a data clustering approach. The typical load profiles (TLP) are obtained selecting the best partition of a power consumption database among a pool of data partitions produced by several clustering algorithms. The choice of the best partition is supported using several cluster validity indices. The proposed data-mining (DM) based methodology, that includes all steps presented in the process of knowledge discovery in databases (KDD), presents an automatic data treatment application in order to preprocess the initial database in an automatic way, allowing time saving and better accuracy during this phase. These methods are intended to be used in a smart grid environment to extract useful knowledge about customers’ consumption behavior. To validate our approach, a case study with a real database of 185 HV consumers was used.

Analysis of Consumption Data to Detect Commercial Losses Using Performance Evaluation Methods in a Smart Grid

Electric power networks, namely distribution networks, have been suffering several changes during the last years due to changes in the power systems operation, towards the implementation of smart grids. Several approaches to the operation of the resources have been introduced, as the case of demand response, making use of the new capabilities of the smart grids. In the initial levels of the smart grids implementation reduced amounts of data are generated, namely consumption data. The methodology proposed in the present paper makes use of demand response consumers’ performance evaluation methods to determine the expected consumption for a given consumer. Then, potential commercial losses are identified using monthly historic consumption data. Real consumption data is used in the case study to demonstrate the application of the proposed method.

Energia Solar Fotovoltaica como Fonte Alternativa de Produção de Energia Elétrica em Angola

Neste trabalho é efetuado o dimensionamento de sistemas fotovoltaicos para serem instalados em edificações localizadas em Angola com o objetivo de analisar a produção de energia elétrica através de sistemas fotovoltaicos. Utilizando o software PVsyst na versão 6.3.2 foram dimensionados três sistemas fotovoltaicos, dois sistemas destinados a ser instalados numa residência, um ligado à rede e o outro autónomo e por fim um sistema fotovoltaico ligado à rede para uma instalação industrial. A determinação dos custos de investimento nos três sistemas foi obtida de forma aproximada, tendo como base preços dos equipamentos no mercado Português e considerando os custos de importação de mercadorias no mercado Angolano. Para os sistemas ligados à rede é analisada a rentabilidade financeira do investimento durante o período de vida útil dos módulos fotovoltaicos considerando três cenários distintos. No primeiro cenário o valor da remuneração pela energia vendida pelo produtor é igual ao valor pago pela energia comprada. No segundo e terceiros cenário de análise económica pretende-se encontrar uma tarifa de energia que torne o investimento rentável com um período de amortização de 7 e 12 anos respetivamente.