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An Advanced IoT-based System for Intelligent Energy Management in Buildings

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 ava...

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Detalles Bibliográficos
Autores principales: Marinakis, Vangelis, Doukas, Haris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5856031/
https://www.ncbi.nlm.nih.gov/pubmed/29462957
http://dx.doi.org/10.3390/s18020610
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author Marinakis, Vangelis
Doukas, Haris
author_facet Marinakis, Vangelis
Doukas, Haris
author_sort Marinakis, Vangelis
collection PubMed
description 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.
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spelling pubmed-58560312018-03-20 An Advanced IoT-based System for Intelligent Energy Management in Buildings Marinakis, Vangelis Doukas, Haris Sensors (Basel) Article 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. MDPI 2018-02-16 /pmc/articles/PMC5856031/ /pubmed/29462957 http://dx.doi.org/10.3390/s18020610 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Marinakis, Vangelis
Doukas, Haris
An Advanced IoT-based System for Intelligent Energy Management in Buildings
title An Advanced IoT-based System for Intelligent Energy Management in Buildings
title_full An Advanced IoT-based System for Intelligent Energy Management in Buildings
title_fullStr An Advanced IoT-based System for Intelligent Energy Management in Buildings
title_full_unstemmed An Advanced IoT-based System for Intelligent Energy Management in Buildings
title_short An Advanced IoT-based System for Intelligent Energy Management in Buildings
title_sort advanced iot-based system for intelligent energy management in buildings
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5856031/
https://www.ncbi.nlm.nih.gov/pubmed/29462957
http://dx.doi.org/10.3390/s18020610
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