Hossein Roshanzamir - The Department of Computer Science, Science and Research Branch, Islamic Azad University, Kerman, Iran

The purpose of this study was the evaluation of energy optimization in tall buildings in Australia. The number of tall buildings is increasing as a result of the advances in construction technologies and the rising land prices. Designing energy-efficient and comfortable buildings requires harmonizing the complex interactions of architecture, construction and building service engineering. The Internet of Energy (IoE) impacts smart cities’ power sector. IoE is an implementation of the Internet of Things technology (IoT) into distributed energy systems and aims to achieve energy efficiency, in recent years, it has been noticed the increasing interest in geometry and form of tall buildings, as a result of the evolution of parametric modeling and ۳D visualization tools, on the expense of the environmental aspect. Through an extensive analysis of Literature,active and passive energy optimization strategies adopted in tall buildings at various building stages are identified. In addition, the role of architectural design parameters, such as building form, orientation and envelope on the tall building energy performance are highlighted. To avoid energy-wasting, and improve environmental conditions. IoE technology includes, among others, utilizing smart sensors and renewable energy integration. Therefore, the IoE is becoming a legal science tool to serve the purpose of a smart city. In this paper, we refer to the reasons that led the European Union to compile Regulations for facilitating transformation of existing cities, starting from existing buildings, into smart buildings. We propose a smart building template that manages the performance of all technical systems through IoT technology with the view of achieving energy efficiency. Besides, in order to improve the certification of existing buildings, as for energy performance, we propose an automated remote, control method supported by a cloud interface. This method minimizes time-consuming procedures and stores, on a cloud platform the energy performance of each building, for the purpose of drawing conclusion and applying measures.

Internet of Things (IoT), Internet of Energy (IoE), Energy Optimization, tall buildings, Australia