Abstract
The energy sector is closely interconnected with the building sector and integrated Information and Communication Technologies (ICT) solutions for effective energy management supporting decision-making at building, district and city level are key fundamental elements for making a city Smart. The available systems are designed and intended exclusively for a predefined number of cases and systems without allowing for expansion and interoperability with other applications that is partially due to the lack of semantics. This paper presents an advanced Internet of Things (IoT) based system for intelligent energy management in buildings. A semantic framework is introduced aiming at the unified and standardised modelling of the entities that constitute the building environment. Suitable rules are formed, aiming at the intelligent energy management and the general modus operandi of Smart Building. In this context, an IoT-based system was implemented, which enhances the interactivity of the buildings’ energy management systems. The results from its pilot application are presented and discussed. The proposed system extends existing approaches and integrates cross-domain data, such as the building’s data (e.g., energy management systems), energy production, energy prices, weather data and end-users’ behaviour, in order to produce daily and weekly action plans for the energy end-users with actionable personalised information.
Highlights
One of the major challenges that the European Union (EU) faces within the scope of sustainable development is the increasing energy demand patterns of cities [1]
The domain terms that already exist in the Urban Energy model have been used while those that are not included in it have been created as concepts of the OPTIMUS ontology
The results revealed the significant potential for energy savings through the installation and operation of the proposed Internet of Things (IoT)-based system
Summary
One of the major challenges that the European Union (EU) faces within the scope of sustainable development is the increasing energy demand patterns of cities [1]. A corollary of all the above was the emergence of the vision of the Smart Building as an environment that combines ambient intelligence and home automation, in order to enable the provision of high-level services to the residents that will ensure increasing comfort and safety within the house, as well as energy efficiency and rational management of resources [10,11]. Semantic technologies have been used to create models of urban energy systems able to assess the energy performance of an urban area [20] They enable learning, adaptation and innovation by responding more efficiently and quickly to the varying situations through improvement of the city’s intelligence. Suitable rules are formed, aiming at the intelligent energy management and the general modus operandi of Smart Building In this context, a web-based tool was implemented, which enhances the interactivity of buildings’ energy management systems. The last section is summarizing the key issues that have arisen in this paper
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