Elaboração de um projeto de uma central fotovoltaica de miniprodução e estudo de viabilidade técnica, económica e financeira

Desde o final do século XVIII, quando se iniciou a revolução industrial, o crescimento económico tem sido assente num consumo elevado de combustíveis fósseis que libertam gases com efeito de estufa. A emissão destes gases e a escassez dos combustíveis fósseis são temas que, desde as últimas duas décadas do século XX, ocupam um lugar de destaque nas agendas de política mundial. A produção de energia através de fontes renováveis surge como alternativa e poderá ser a solução para países com escassos recursos de origem fóssil, como é o caso de Portugal, minimizando também a sua dependência energética do exterior. Uma das medidas de incentivo lançada pelo Governo Português em 2007, foi a criação de um regime simplificado aplicável à microprodução descentralizada de eletricidade através de fontes de energia renováveis e de cogeração. À semelhança da maioria dos países europeus, o principal meio de promoção destes sistemas em Portugal foram as Feed-in-Tariffs, que consistem numa tarifa de venda de energia elétrica de origem renovável acima da tarifa de mercado. Estas tarifas permitiram, sobretudo, o crescimento do setor fotovoltaico em Portugal. Atualmente, o amadurecimento da tecnologia fotovoltaica, associado ao constante aumento das tarifas de energia elétrica, permite que se torne vantajosa a instalação de sistemas fotovoltaicos para autoconsumo. Neste contexto, o atual Governo Português, criou recentemente um regime jurídico aplicável à produção de eletricidade para autoconsumo. O objetivo deste trabalho é demonstrar, com base na minha experiência profissional, a metodologia de dimensionamento de uma central fotovoltaica ligada à Rede Elétrica de Serviço Público. Será utilizado como objeto de estudo um projeto constituído por 28 centrais fotovoltaicas de Miniprodução de 100 kW, dispersas por Portugal Continental, para o qual será efetuada a análise financeira do investimento. Pretende-se ainda apresentar o novo enquadramento legislativo para o Autoconsumo e Pequena Produção distribuída, detalhar as suas principais caraterísticas e efetuar um estudo económico para cada um destes regimes.

Constrained Consumption Shifting Management in the Distributed Energy Resources Scheduling Considering Demand Response

Demand response concept has been gaining increasing importance while the success of several recent implementations makes this resource benefits unquestionable. This happens in a power systems operation environment that also considers an intensive use of distributed generation. However, more adequate approaches and models are needed in order to address the small size consumers and producers aggregation, while taking into account these resources goals. The present paper focuses on the demand response programs and distributed generation resources management by a Virtual Power Player that optimally aims to minimize its operation costs taking the consumption shifting constraints into account. The impact of the consumption shifting in the distributed generation resources schedule is also considered. The methodology is applied to three scenarios based on 218 consumers and 4 types of distributed generation, in a time frame of 96 periods.

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.

Domestic Consumption Simulation and Management Using a Continuous Consumption Management and Optimization Algorithm

The recent changes concerning the consumers’ active participation in the efficient management of load devices for one’s own interest and for the interest of the network operator, namely in the context of demand response, leads to the need for improved algorithms and tools. A continuous consumption optimization algorithm has been improved in order to better manage the shifted demand. It has been done in a simulation and user-interaction tool capable of being integrated in a multi-agent smart grid simulator already developed, and also capable of integrating several optimization algorithms to manage real and simulated loads. The case study of this paper enhances the advantages of the proposed algorithm and the benefits of using the developed simulation and user interaction tool.

Optimization of Generation and Aggregated Consumption Shifting for Demand Response Programs Definition

The concept of demand response has drawing attention to the active participation in the economic operation of power systems, namely in the context of recent electricity markets and smart grid models and implementations. In these competitive contexts, aggregators are necessary in order to make possible the participation of small size consumers and generation units. The methodology proposed in the present paper aims to address the demand shifting between periods, considering multi-period demand response events. The focus is given to the impact in the subsequent periods. A Virtual Power Player operates the network, aggregating the available resources, and minimizing the operation costs. The illustrative case study included is based on a scenario of 218 consumers including generation sources.

Using Typical Consumption Profiles to Stablish the Consumption Level for Short Time Periods

The current practices in the consumption metering by electricity utilities is currently largely based on monthly consumption reading. The consumption metering device is always calculating the cumulative consumption. Then, it is possible to calculate the difference between the actual and the previous consumption evaluation in order to estimate the monthly consumption. The power systems planning needs in many aspects to handle consumption data obtained for shorter periods, namely in the Demand Response programs planning. The work presented in this paper is based on the application of typical consumption profiles that are previously defined for a certain power system area. Such profiles are then used in order to estimate the 15 minutes consumption for a certain consumer or consumer type.

A Learning Algorithm and System Approach to Address Exceptional Events in Domestic Consumption Management

The integration of the Smart Grid concept into the electric grid brings to the need for an active participation of small and medium players. This active participation can be achieved using decentralized decisions, in which the end consumer can manage loads regarding the Smart Grid needs. The management of loads must handle the users’ preferences, wills and needs. However, the users’ preferences, wills and needs can suffer changes when faced with exceptional events. This paper proposes the integration of exceptional events into the SCADA House Intelligent Management (SHIM) system developed by the authors, to handle machine learning issues in the domestic consumption context. An illustrative application and learning case study is provided in this paper.

Consumption Management of Air Conditioning Devices for the Participation in Demand Response Programs

Demand Response has been taking over the years an extreme importance. There’s a lot of demand response programs, one of them proposed in this paper, using air conditioners that could increase the power quality and decrease the spent money in many ways like: infrastructures and customers energy bill reduction. This paper proposes a method and a study on how air conditioners could integrate demand response programs. The proposed method has been modelled as an energy resources management optimization problem. This paper presents two case studies, the first one with all costumers participating and second one with some of costumers. The results obtained for both case studies have been analyzed.

Quantum-based Particle Swarm Optimization Application to Studies of Aggregated Consumption Shifting and Generation Scheduling in Smart Grids

Demand response programs and models have been developed and implemented for an improved performance of electricity markets, taking full advantage of smart grids. Studying and addressing the consumers’ flexibility and network operation scenarios makes possible to design improved demand response models and programs. The methodology proposed in the present paper aims to address the definition of demand response programs that consider the demand shifting between periods, regarding the occurrence of multi-period demand response events. The optimization model focuses on minimizing the network and resources operation costs for a Virtual Power Player. Quantum Particle Swarm Optimization has been used in order to obtain the solutions for the optimization model that is applied to a large set of operation scenarios. The implemented case study illustrates the use of the proposed methodology to support the decisions of the Virtual Power Player in what concerns the duration of each demand response event.

Contextual and Environmental Awareness Laboratory for Energy Consumption Management

The recent changes on power systems paradigm requires the active participation of small and medium players in energy management. With an electricity price fluctuation these players must manage the consumption. Lowering costs and ensuring adequate user comfort levels. Demand response can improve the power system management and bring benefits for the small and medium players. The work presented in this paper, which is developed aiming the smart grid context, can also be used in the current power system paradigm. The proposed system is the combination of several fields of research, namely multi-agent systems and artificial neural networks. This system is physically implemented in our laboratories and it is used daily by researchers. The physical implementation gives the system an improvement in the proof of concept, distancing itself from the conventional systems. This paper presents a case study illustrating the simulation of real-time pricing in a laboratory.

Avaliação da qualidade do ar e classificação energética de uma piscina coberta e propostas de melhoria

A presente dissertação tem dois objetivos, o primeiro é a realização de uma auditoria energética e avaliação da qualidade do ar às instalações de uma Piscina Municipal, permitindo a sua classificação energética, e o segundo é o estudo de propostas de melhoria que contribuam para uma melhor eficiência energética do edifício. Na análise à qualidade do ar interior os parâmetros avaliados encontravam-se todos dentro dos limites estabelecidos por lei, com exceção dos valores de COVs que em dois pontos de medição (ambos na nave) ultrapassaram os limites estabelecidos por lei. A auditoria ao edifício permitiu verificar que o caudal mínimo de água nova nas piscinas imposto por lei é cumprido pela instalação. No que diz respeito ao caudal de ar novo introduzido, este apenas é respeitado quando a unidade de tratamento de ar está a debitar 100% da sua capacidade. Quando a unidade opera a 50% da sua capacidade apresenta um défice de 5% do valor mínimo estabelecido. Relativamente às perdas energéticas associadas aos tanques de natação, estas apresentam um valor de 95,89 kW, em que 59,09 kW dizem respeito às perdas por evaporação. Foi também possível concluir que as perdas por evaporação representam cerca de 39% da energia calorifica produzida nas caldeiras. O edifício apresenta um consumo anual de eletricidade de 166 482 kWh em que 69% deste valor é provocado pelas unidades de tratamento de ar e a iluminação apresenta apenas um peso de 3%. Em relação ao gás natural consumido pelas caldeiras o seu valor anual é de 1 317 240 kWh. A simulação dinâmica do edifício permitiu concluir que este apresenta um IEE de 1 269,9 kWh/m2.ano. O rácio de classe energética (RIEE) é de 1,24 o que significa que o edifício pertence à classe energética C. As medidas estudadas para a melhoria da eficiência energética, nomeadamente integração energética com uma central de ciclo combinado, aplicação de cobertura isotérmica nas piscinas e substituição do telhado na zona da nave, mostraram-se viáveis. O estudo da possibilidade da realização de uma integração energética permitiu concluir que a poupança anual é de 9 374 € e o investimento é recuperado em menos de 1,5 anos. Relativamente à aplicação de cobertura isotérmica o investimento é de 14 000 € e é recuperado em 2 anos. A substituição do telhado na zona da nave tem um investimento de 20 500 € e a recuperação realiza-se num período de 3,5 anos.

Estimation of infection rate in epidemic models with multiple populations

Dissertação para obtenção do Grau de Mestre em Matemática e Aplicações Especialização em Actuariado, Estatística e Investigação Operacional

Heart rate responses to a muscarinic agonist in rats with experimentally induced acute and subacute chagasic myocarditis

We administered arecoline to rats, with experimentally induced chagasic myocarditis, in order to study the sinus node sensitivity to a muscarinic agonist. Sixteen month old rats were inoculated with 200,000 T. cruzi parasites ("Y" strain). Between days 18 and 21 (acute stage), 8 infected rats and 8 age-matched controls received intravenous arecoline as a bolus injection at the following doses: 5.0, 10.0, 20.0, 40.0, and 80.0 mug/kg. Heart rate was recorded before, during and after each dose of arecoline. The remaining 8 infected animals and 8 controls were subjected to the same experimental procedure during the subacute stage, i.e., days 60 to 70 after inoculation. The baseline heart rate, of the animals studied during the acute stage (349 ± 68 bpm, mean ± SD), was higher than that of the controls (250 ± 50 bpm, p < 0.005). The heart rate changes were expressed as percentage changes over baseline values. A dose-response curve was constructed for each group of animals. Log scales were used to plot the systematically doubled doses of arecoline and the induced-heart rate changes. The slope of the regression line for the acutely infected animals (r = - 0.99, b =1.78) was not different from that for the control animals (r = - 0.97, b = 1.61). The infected animals studied during the subacute stage (r = - 0.99, b = 1.81) were also not different from the age-matched controls (r = - 0.99, b = 1.26, NS). Consequently, our results show no pharmacological evidence of postjunctional hypersensitivity to the muscarinic agonist arecoline. Therefore, these results indirectly suggest that the postganglionic parasympathetic innervation, of the sinus node of rats with autopsy proved chagasic myocarditis, is not irreversibly damaged by Trypanosoma cruzi.