Navegando por Assunto "Smart home"
Dissertação Acesso aberto (Open Access) Estratégias de planejamento para otimização do consumo residencial de energia elétrica: uma abordagem baseada em smart home e sistemas fuzzy(Universidade Federal do Pará, 2017-08-04) ANDRADE, Sérgio Henrique Monte Santo; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567Residential energy consumption has grown steadily over the last decades, becoming a problem for companies in the electricity sector, for consumers and for the environment. The traditional measurement systems are not sufficient and have limitations in providing adequate real-time information about consumption. As also, they are not prepared to deal with variable energy costs in the context of a market with dynamic prices that depend on the energy mix. The future of electric grid, called Smart Grid, will not only be designed with measurements based on the residences, but also on the individualized equipment consumption level. From the residential side, consumers generally suffer from a lack of information on the specific equipment energy consumption impact and, consequently, on the required behavior to reduce its consumption. In this context, this work aims on a smartphone monitoring system concept, to control energy using fuzzy logic, in order to provide to the user ways to maintain his energy consumption, through consumption profiles, within the user-defined consumption patterns. The energy reduction demand through the consumption profiles working with habitant dependence degree on the electrical equipment present in the residence, promote a smaller impact on inhabitant well-being and the daily life.Dissertação Acesso aberto (Open Access) MGI:: Módulo de gerenciamento inteligente para otimização Do conforto térmico do usuário em smart home(Universidade Federal do Pará, 2018-08-31) ALFAIA, Rodrigo Dias; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567The incentive to integrate energy efficiency in electrical equipment has increased during last years. A portion of this growth is a result of incentives and the implementation of standards that help in inspection and regulation of minimum specifications for efficiency in electric energy consumption by equipments. In addition, with development of technology, new means of intelligent management are proposed to help optimize energy consumption. This study presents the specification and development of an intelligent module, to be integrated in Smart Consumption Management Architecture (SmartCoM), which involves collection and analysis of meteorological data (temperature and humidity) via the communication interface characteristic of the architecture, from Internet of Things (IoT), for the intelligent management of an air conditioner in order to optimize energy consumption, without losing thermal comfort of resident users. The proposed methodology proved to be efficient in reducing energy consumption compared to the conventional model. Experiments were carried out to estimate the energy consumption of an air conditioner during 2017. The experiments consisted in comparing results of the intelligent management module (MGI) with the conventional model, to show the efficiency of the proposed module, which achieved a general reduction of 24.5% for the night period and 21.1% for the daytime, within the standards of thermal comfort established by national and internationalTese Acesso aberto (Open Access) Smartcom: uma arquitetura inteligente de gerenciamento de consumo de energia para smart home(Universidade Federal do Pará, 2017-08-25) OLIVEIRA, Edvar da Luz; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567With advances in information technology for a variety of areas, such as health and wellness, Smart Home based solutions using Internet of Things (IoT) technologies are gaining in popularity, including energy-saving alternatives based on Home Energy Management Systems (HEMS). This thesis defines an innovative architecture, called SmartCoM, which is implemented to monitor and manage residences using IoT technologies. Such a strategy involves defining the parameters that can affect the interoperability between measurement, management and the layers of data communication, which are the resources necessary for the hardware devices to perform the intended monitoring and measurement. In addition, an interface is defined by a middleware layer to integrate the management of external installations and the visualization of data through cloud services. The SmartCoM architecture is defined end-to-end in detail from the consumer's point of view and optimization strategies are employed for both the end customer and the utility. In order to evaluate the proposed architecture, a case study was elaborated, from which the viability of developing solutions for Smart Home according to the requirements described in SmartCoM is observed.