MGI:: Módulo de gerenciamento inteligente para otimização Do conforto térmico do usuário em smart home

Abstract

The 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 international