SCADA House Intelligent Management for Energy Efficiency Analysis in Domestic Consumers

The implementation of smart homes allows the domestic consumer to be an active player in the context of the Smart Grid (SG). This paper presents an intelligent house management system that is being developed by the authors to manage, in real time, the power consumption, the micro generation system, the charge and discharge of the electric or plug-in hybrid vehicles, and the participation in Demand Response (DR) programs. The paper proposes a method for the energy efficiency analysis of a domestic consumer using the SCADA House Intelligent Management (SHIM) system. The main goal of the present paper is to demonstrate the economic benefits of the implemented method. The case study considers the consumption data of some real cases of Portuguese house consumption over 30 days of June of 2012, the Portuguese real energy price, the implementation of the power limits at different times of the day and the economic benefits analysis.

Real-Time Simulation of energy Management in a Domestic Consumer

Recent and future changes in power systems, mainly in the smart grid operation context, are related to a high complexity of power networks operation. This leads to more complex communications and to higher network elements monitoring and control levels, both from network’s and consumers’ standpoint. The present work focuses on a real scenario of the LASIE laboratory, located at the Polytechnic of Porto. Laboratory systems are managed by the SCADA House Intelligent Management (SHIM), already developed by the authors based on a SCADA system. The SHIM capacities have been recently improved by including real-time simulation from Opal RT. This makes possible the integration of Matlab®/Simulink® real-time simulation models. The main goal of the present paper is to compare the advantages of the resulting improved system, while managing the energy consumption of a domestic consumer.

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.

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.

Comparing the performance of geostatistical models with additional information from covariates for sewage plume characterization

In this work, kriging with covariates is used to model and map the spatial distribution of salinity measurements gathered by an autonomous underwater vehicle in a sea outfall monitoring campaign aiming to distinguish the effluent plume from the receiving waters and characterize its spatial variability in the vicinity of the discharge. Four different geostatistical linear models for salinity were assumed, where the distance to diffuser, the west-east positioning, and the south-north positioning were used as covariates. Sample variograms were fitted by the Mat`ern models using weighted least squares and maximum likelihood estimation methods as a way to detect eventual discrepancies. Typically, the maximum likelihood method estimated very low ranges which have limited the kriging process. So, at least for these data sets, weighted least squares showed to be the most appropriate estimation method for variogram fitting. The kriged maps show clearly the spatial variation of salinity, and it is possible to identify the effluent plume in the area studied. The results obtained show some guidelines for sewage monitoring if a geostatistical analysis of the data is in mind. It is important to treat properly the existence of anomalous values and to adopt a sampling strategy that includes transects parallel and perpendicular to the effluent dispersion.

Projeto de uma ETAR para a freguesia de Canelas, Penafiel

O tratamento das águas residuais domésticas surge com o intuito de degradar os poluentes presentes, para que as águas residuais tratadas não prejudiquem o ambiente nem a saúde pública. O presente trabalho teve como objetivo a conceção e o dimensionamento de uma Estação de Tratamento de Águas Residuais (ETAR) na freguesia de Canelas com a finalidade de substituir a já existente e permitir a ampliação da área da rede de saneamento da freguesia. Foram considerados dois tipos de ETAR’s, compacta e convencional, para tratar águas residuais domésticas de aproxidamente 2000 habitantes, com um caudal médio de 400 m3/dia e um caudal de ponta de 1136,7 m3/dia. Das duas opções optou-se pela convencional uma vez que acarreta um menor investimento, no valor de 187 232 €, e se considera também mais adequada às características do efluente a tratar. O tratamento escolhido inclui inicialmente uma gradagem, com uma grade constituída por sete barras com um espaçamento de 20 mm entre elas, seguida de um tamisador rotativo com uma abertura de malha de 3 mm. Depois do tamisador, optou-se por um sistema de desarenação/desengorduramento com um volume do tanque de 3,95 m3 e um fluxo de ar de 17,9 m3/h. Na fase seguinte considerou-se um tratamento biológico por lamas ativadas em regime de arejamento prolongado num tanque de arejamento de volume igual a 245,8 m3 com um arejador submerso, seguindo-se um decantador secundário de volume 33,3 m3. Por último, escolheu-se um sistema de desinfeção por ultravioleta e, a montante do mesmo, um filtro rápido para eliminar pequenas partículas que o efluente ainda possa conter. Para a desinfeção foram consideradas duas secções com cinco módulos de duas lâmpadas cada, ou seja, vinte lâmpadas ultravioleta. Dos resíduos produzidos pelo tratamento da água residual, os gradados e as areias serão encaminhados para aterro, enquanto que as lamas serão enviadas para a ETAR das Termas de S.Vicente, para que sofram o tratamento adequado e sejam encaminhadas para o destinal final adequado (aplicação em solos agrícolas, compostagem ou em alternativa para aterro). No caso da ETAR covencional foi ainda avaliada a possível reutilização de um decantador da ETAR de Milhundos uma vez que esta se encontrava em fase de desativação. Desta avaliação, concluiu-se que não seria economicamente viável o seu reaproveitamento. Mestrado em Engenharia Química – Tecnologias de Proteção Ambiental Para além disso realizou-se também um levantamento dos principais problemas que ocorrem na maioria das ETAR’s e foram apresentadas as respetivas sugestões de resolução. A realização de um inquérito permititu concluir que os odores são o problema que mais causa incómodo à população.