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.

Recovery of acid and base from brackish water by bipolar membrane electrodialysis

Nesta dissertação pretendeu-se estudar a viabilidade do uso de eletrodiálise com membranas bipolares (BM) na recuperação de ácido clorídrico e de hidróxido de sódio a partir de um efluente industrial que contém 1.4 mol/L de cloreto de sódio. Estas membranas mostraram ser uma ferramenta eficiente para a produção de ácidos e bases a partir do respetivo sal. Foi feita uma seleção de diferentes membranas bipolares (Neosepta, Fumatech e PCA) e aniónicas (PC-SA e PC-ACID 60) na tentativa de encontrar a combinação mais adequada para o tratamento do efluente. Dependendo do critério, o melhor arranjo de membranas é o uso de PC-ACID 60 (membrana aniónica), PC-SK (membrana catiónica) e membranas bipolares do tipo Neosepta para maior pureza dos produtos; membranas bipolares Fumatech para maior eficiência de dessalinização e membranas bipolares PCA para um maior grau de dessalinização. Tecnologicamente foi possível obter uma dessalinização de 99.8% em quatro horas de funcionamento em modo batch com recirculação de todas as correntes. Independentemente da combinação usada é recomendável que o processo seja parado quando a densidade de corrente deixa de ser máxima, 781 A/m2. Assim é possível evitar o aumento de impurezas nos produtos, contra difusão, descida instantânea do pH e uma dessalinização pouco eficiente. A nível piloto o principal fornecedor de membranas e unidade de tratamento “stack” é a marca alemã PCA. Sendo assim realizaram-se ensaios de repetibilidade, contra difusão, avaliação económica e upscaling utilizando as membranas bipolares PCA. A nível económico estudou-se o uso de dois tipos de unidades de tratamento; EDQ 380 e EDQ 1600, para diferentes níveis de dessalinização (50, 75 e 80%). Tendo em conta a otimização económica, é recomendável uma dessalinização máxima de 80%, uma vez que a eficiência de processo a este ponto é de 40%. A aplicação do método com a unidade EDQ 1600 para uma dessalinização de 50% é a mais vantajosa economicamente, com custos de 16 €/m3 de efluente tratado ou 0,78 €/kg Cl- removido. O número de unidades necessárias é 4 posicionados em série.

Estudo eletroquímico do dano oxidativo promovido por RNOS e PAH e o efeito protetor de antioxidantes no ADN

No dia-a-dia, os organismos vivos estão sujeitos a vários tipos de agressões de origem endógena e exógena. A produção endógena exagerada de agentes oxidantes que ocorre nos processos metabólicos dos seres vivos está intimamente associada ao aparecimento e desenvolvimento de várias patologias. Por outro lado, e devido às atividades antropogénicas, muitos agentes oxidantes de origem ambiental e alimentar entram por via exógena no organismo dos seres vivos provocando igualmente danos a nível celular. De modo a protegerem-se dos efeitos pejorativos provocados por estes compostos, os organismos vivos desenvolveram mecanismos complexos de defesa antioxidante. Este trabalho consistiu no estudo eletroquímico do dano oxidativo induzido por agentes oxidantes (PAH (hidrocarbonetos aromáticos policíclicos), H2O2, NO• e HClO) e do efeito protetor, ao dano oxidativo, promovido por antioxidantes no material baseado no ADN recorrendo à utilização de um biossensor de bases púricas, adenina-EPC (elétrodo pasta de carbono) e dA20-EPC, utilizando a voltametria de onda quadrada (VOQ) como técnica de deteção. A aplicação da eletroquímica apresenta várias vantagens para a quantificação da capacidade antioxidante total (CAT) pois, permite a redução da quantidade de reagentes e amostra em análise, elimina a etapa de remoção de cor (a cor é um interferente nos métodos óticos) e não requer equipamentos dispendiosos. Foram seguidas diferentes abordagens para a construção dos biossensores. A primeira consistiu na construção de um adenina-EPC em três etapas: i) condicionamento do EPC, ii) eletrodeposição da adenina no EPC e iii) leitura do sinal eletroquímico. Assim, foram otimizados diversos parâmetros: concentração de adenina (150,0 mg/L), potencial de condicionamento (Ec) (+ 1,80 V), potencial de deposição (Ed) (+ 0,40 V), tempo de condicionamento (tc) (180 s) e tempo de deposição (td) (240 s). Foi aplicado o adenina-EPC no estudo do dano oxidativo provocado por PAH (benzo (g,h,i) perileno) e constatou-se que era necessário transformar o benzo (g,h,i) perileno num radical para se possível observar danos oxidativos induzidos no biossensor. A nova estratégia consistiu na construção de um dA20-EPC, através da adsorção física de uma gota de dA20 na superfície do EPC, com posterior secagem e leitura do sinal eletroquímico. Neste procedimento foi otimizada a concentração de dA20 (100,0 mg/L). O dano oxidativo provocado pelo H2O2, NO• e HClO foi estudado sobre o dA20-EPC e verificou-se que os três agentes oxidantes induziam dano oxidativo no dA20-EPC. Confirmou-se a capacidade do ácido ascórbico (AA) em proteger o dA20-EPC do dano oxidativo induzido por H2O2 e NO•. O biossensor desenvolvido (dA20-EPC) foi aplicado na avaliação da CAT de diferentes amostras reais (café, sumo de laranja e água aromatizada de laranja) usando-se como agentes oxidantes o H2O2 e NO•. Todas as amostras analisadas apresentaram ter capacidade antioxidante. Quando se utilizou o dA20-EPC na presença de H2O2, verificou-se que as amostras de café apresentam valores mais elevados de CAT (1130-1488 mg AAE/L) do que as amostras de bebidas (110 mg AAE/L em água aromatizada e 775 mg AAE/L em sumo). Os valores de CAT obtidos para amostras de sumo e água aromatizada na presença de NO• indicam que a amostra de sumo possui maior teor de CAT (871 mg AAE/L) conforme era esperado, do que a amostra de água aromatizada (172 mg AAE/L). Na presença de HClO, o valor de CAT mais elevado pertence a uma amostra de sumo (513 mg AAE/L) mas, o valor de CAT da amostra de sumo natural é muito mais baixa do que o esperado (17 mg AAE/L). Foram estudados outros antioxidantes para além do AA (ácido cumárico, ácido gálico e ácido cafeico), e constatou-se que cada um deles promove proteção ao dA20-EPC na presença de cada um dos diferentes contaminantes (H2O2, NO• e HClO).

SIMPLIFIED DIAGNOSIS OF MALARIA INFECTION: GFM/PCR/ELISA A SIMPLIFIED NUCLEIC ACID AMPLIFICATION TECHNIQUE BY PCR/ELISA

We report an adaptation of a technique for the blood sample collection (GFM) as well as for the extraction and amplification of Plasmodium DNA for the diagnosis of malaria infection by the PCR/ELISA. The method of blood sample collection requires less expertise and saves both time and money, thus reducing the cost by more than half. The material is also suitable for genetic analysis in either fresh or stored specimens prepared by this method.