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.

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.

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.

Estudo e Coordenação das Principais Protecções Eléctricas de Geradores e Transformadores de uma Central de Cogeração

O Sector eléctrico possui uma grande importância nas sociedades modernas. Dados os elevados custos de produção de energia e o grande impacto que esta tem na nossa economia e na sociedade, em geral, a utilização mais eficiente da energia é um factor fulcral. Com a evolução da electrónica e consequente aumento das capacidades dos computadores, as protecções eléctricas são cada vez mais eficazes e com índices de fiabilidade mais elevados, algo muito importante em instalações de elevado custo de investimento e manutenção. No entanto, o seu bom funcionamento está dependente do correcto dimensionamento das protecções e de uma análise técnica capaz de prever necessidades futuras. Após uma breve introdução no capítulo 1 é efectuado no capítulo 2 um breve estudo de protecções eléctricas e o seu estado de arte. Nos Capítulos 3 e 4 é efectuado o dimensionamento e estudo da selectividade das protecções de grupo de Alternador e Transformador escolhidos para a nova central de cogeração da refinaria de Matosinhos da Galp. No presente estudo foram apenas consideradas as protecções típicas de alternador e apenas a protecção diferencial do transformador. Todas as protecções foram dimensionadas com base no tutorial de protecções de geradores do IEE e com informação referente ao manual de instruções do relé G60 da GE industrial systems, o DTP-B da GE multilin e o ELIN Power Plant Automation. No Capítulo 5 é demonstrada a importância da análise Safety Instruments Systems (SIS), o seu modo de aplicação e necessidade de implementação em locais industriais como o caso em estudo. Por último, é efectuado um pequeno estudo económico onde é efectuada a comparação dos custos dos diversos equipamentos, protecções e manutenções efectuadas.

Modelos de previsão de produção para centrais mini-hídricas

O constante crescimento dos produtores em regime especial aliado à descentralização dos pontos injetores na rede, tem permitido uma redução da importação de energia mas também tem acarretado maiores problemas para a gestão da rede. Estes problemas estão relacionados com o facto da produção estar dependente das condições climatéricas, como é o caso dos produtores eólicos, hídricos e solares. A previsão da energia produzida em função da previsão das condições climatéricas tem sido alvo de atenção por parte da comunidade empresarial do setor, pelo facto de existir modelos razoáveis para a previsão das condições climatéricas a curto prazo, e até a longo prazo. Este trabalho trata, em concreto, do problema da previsão de produção em centrais mini-hídricas, apresentando duas propostas para essa previsão. Em ambas as propostas efetua-se inicialmente a previsão do caudal que chega à central, sendo esta depois convertida em potência que é injetada na rede. Para a previsão do caudal utilizaram-se dois métodos estatísticos: o método Holt-Winters e os modelos ARMAX. Os dois modelos de previsão propostos consideram um horizonte temporal de uma semana, com discretização horária, para uma central no norte de Portugal, designadamente a central de Penide. O trabalho também contempla um pequeno estudo da bibliografia existente tanto para a previsão da produção como de afluências de centrais hidroelétricas. Aborda, ainda, conceitos relacionados com as mini-hídricas e apresenta uma caraterização do parque de centrais mini-hídricas em Portugal.

Auditoria energética às unidades de cogeração e central térmica

A tese de mestrado teve como objetivo o estudo e análise do funcionamento das centrais de cogeração e térmica da fábrica da Unicer em Leça do Balio, com o intuito de melhorar a sua eficiência, propondo alterações processuais. O trabalho realizado consistiu no reconhecimento das instalações, seguido da formulação e resolução dos balanços de energia globais. Com o acompanhamento diário do funcionamento foi possível propor melhorias sem custos que se revelaram muito benéficas, registando-se um aumento nas recuperações térmicas e por consequência no Rendimento Elétrico Equivalente (R.E.E.), na eficiência da instalação da cogeração e da central térmica. Na cogeração registou-se um aumento de 36,2% na potência recuperada em água quente, aproximadamente 600 kW, sendo já superior à prevista pelo projeto. Na caldeira recuperativa registou-se um ligeiro aumento de 4,0% na potência recuperada. Deste modo o rendimento térmico da central aumentou 6,4%, atingindo os 40,8% e superando os 40,4% projetados. O rendimento global final foi de 83,1% o que representa um aumento de 6,3%. O R.E.E. em Maio de 2014 foi de 76,3%, superior ao valor em Junho de 2013 em 8,7%. Tendo como referência o valor alvo de 70,5% para o R.E.E. apontado no início do estágio, nos últimos 8 meses o seu valor tem sido sempre superior e em crescimento. Existe ainda a possibilidade de aproveitar a energia térmica de baixa temperatura que está a ser dissipada numa torre de arrefecimento, no mínimo 40 kW, num investimento com um período de retorno de investimento máximo de 8,1 meses. Na central térmica registou-se um aumento do rendimento para a mesma quantidade de energia produzida na central, pois esta é a principal variável do processo. Em 2014 a produção de energia apresentou um valor inferior a 2013, 6,9%, e a eficiência registou um acréscimo de 2,0%. A incorporação de biogás na alimentação de combustível à caldeira bifuel não pareceu comprometer significativamente a eficiência da central térmica, pelo que a sua utilização é benéfica. Com o aumento das recuperações térmicas na central de cogeração foram estimadas poupanças de gás natural equivalentes a 3,3 GWh, o que significa 120.680€ economizados nos últimos 11 meses do trabalho. É esperado uma poupança de 18.000€ mensais com a melhoria do funcionamento obtida nas duas centrais.

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 competitive environment of electricity markets impose the use of new approaches in several domains. The network cost allocation, traditionally used in transmission networks, should be adapted and used in the distribution networks considering the specifications of the connected resources. The main goal is to develop a fairer methodology trying to distribute the distribution network use costs to all players which are using the network in each period. In this paper, a model considering different type of costs (fixed, losses, and congestion 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 vehicles with capability of discharging energy to the network, which is known as vehicle-to-grid (V2G). The proposed model includes three distinct phases of operation. The first phase of the model consists in an economic dispatch based on an AC optimal power flow (AC-OPF); in the second phase Kirschen's and Bialek's tracing algorithms are used and compared to evaluate the impact of each resource in the network. Finally, the MW-mile method is used in the third phase of the proposed model. A distribution network of 33 buses with large penetration of DER is used to illustrate the application of the proposed model.

Hybrid fuzzy Monte Carlo technique for reliability assessment in transmission power systems

This paper proposes a new methodology to reduce the probability of occurring states that cause load curtailment, while minimizing the involved costs to achieve that reduction. The methodology is supported by a hybrid method based on Fuzzy Set and Monte Carlo Simulation to catch both randomness and fuzziness of component outage parameters of transmission power system. The novelty of this research work consists in proposing two fundamentals approaches: 1) a global steady approach which deals with building the model of a faulted transmission power system aiming at minimizing the unavailability corresponding to each faulted component in transmission power system. This, results in the minimal global cost investment for the faulted components in a system states sample of the transmission network; 2) a dynamic iterative approach that checks individually the investment’s effect on the transmission network. A case study using the Reliability Test System (RTS) 1996 IEEE 24 Buses is presented to illustrate in detail the application of the proposed methodology.

Using an ambient intelligent architecture for developing an intelligent tutoring system for training operators of power system control centres

This paper describes an architecture conceived to integrate Power Sys-tems tools in a Power System Control Centre, based on an Ambient Intelligent (AmI) paradigm. This architecture is an instantiation of the generic architecture proposed in [1] for developing systems that interact with AmI environments. This architecture has been proposed as a consequence of a methodology for the inclu-sion of Artificial Intelligence in AmI environments (ISyRAmI - Intelligent Sys-tems Research for Ambient Intelligence). The architecture presented in the paper will be able to integrate two applications in the control room of a power system transmission network. The first is SPARSE expert system, used to get diagnosis of incidents and to support power restoration. The second application is an Intelligent Tutoring System (ITS) incorporating two training tools. The first tutoring tool is used to train operators to get the diagnosis of incidents. The second one is another tutoring tool used to train operators to perform restoration procedures.

Power systems reliability calculation based on fuzzy data mining

This paper presents a methodology supported on the data base knowledge discovery process (KDD), in order to find out the failure probability of electrical equipments’, which belong to a real electrical high voltage network. Data Mining (DM) techniques are used to discover a set of outcome failure probability and, therefore, to extract knowledge concerning to the unavailability of the electrical equipments such us power transformers and high-voltages power lines. The framework includes several steps, following the analysis of the real data base, the pre-processing data, the application of DM algorithms, and finally, the interpretation of the discovered knowledge. To validate the proposed methodology, a case study which includes real databases is used. This data have a heavy uncertainty due to climate conditions for this reason it was used fuzzy logic to determine the set of the electrical components failure probabilities in order to reestablish the service. The results reflect an interesting potential of this approach and encourage further research on the topic.

Optimization techniques for power distribution planning with uncertainties: a comparative study

Important research effort has been devoted to the topic of optimal planning of distribution systems. The non linear nature of the system, the need to consider a large number of scenarios and the increasing necessity to deal with uncertainties make optimal planning in distribution systems a difficult task. Heuristic techniques approaches have been proposed to deal with these issues, overcoming some of the inherent difficulties of classic methodologies. This paper considers several methodologies used to address planning problems of electrical power distribution networks, namely mixedinteger linear programming (MILP), ant colony algorithms (AC), genetic algorithms (GA), tabu search (TS), branch exchange (BE), simulated annealing (SA) and the Bender´s decomposition deterministic non-linear optimization technique (BD). Adequacy of theses techniques to deal with uncertainties is discussed. The behaviour of each optimization technique is compared from the point of view of the obtained solution and of the methodology performance. The paper presents results of the application of these optimization techniques to a real case of a 10-kV electrical distribution system with 201 nodes that feeds an urban area.

Characterizations of power indices based on null player free winning coalitions

In this paper, we characterize two power indices introduced in [1] using two different modifications of the monotonicity property first stated by [2]. The sets of properties are easily comparable among them and with previous characterizations of other power indices.

Characterizing the timing behaviour of power-line communication by means of simulation

Although power-line communication (PLC) is not a new technology, its use to support communication with timing requirements is still the focus of ongoing research. Recently, a new infrastructure was presented, intended for communication using power lines from a central location to geographically dispersed nodes using inexpensive devices. This new infrastructure uses a two-level hierarchical power-line system, together with an IP-based network. Within this infrastructure, in order to provide end-toend communication through the two levels of the powerline system, it is necessary to fully understand the behaviour of the underlying network layers. The masterslave behaviour of the PLC MAC, together with the inherent dynamic topology of power-line networks are important issues that must be fully characterised. Therefore, in this paper we present a simulation model which is being used to study and characterise the behaviour of power-line communication.

Device power management for real-time embedded systems

A large part of power dissipation in a system is generated by I/O devices. Increasingly these devices provide power saving mechanisms to inter alia enhance battery life. While I/O device scheduling has been studied in the past for realtime systems, the use of energy resources by these scheduling algorithms may be improved. These approaches are crafted considering a huge overhead of device transition. The technology enhancement has allowed the hardware vendors to reduce the device transition overhead and energy consumption. We propose an intra-task device scheduling algorithm for real time systems that allows to shut-down devices while ensuring the system schedulability. Our results show an energy gain of up to 90% in the best case when compared to the state-of-the-art.