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      How can We Tackle Energy Efficiency in IoT Based Smart Buildings?

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          Abstract

          Nowadays, buildings are increasingly expected to meet higher and more complex performance requirements. Among these requirements, energy efficiency is recognized as an international goal to promote energy sustainability of the planet. Different approaches have been adopted to address this goal, the most recent relating consumption patterns with human occupancy. In this work, we analyze what are the main parameters that should be considered to be included in any building energy management. The goal of this analysis is to help designers to select the most relevant parameters to control the energy consumption of buildings according to their context, selecting them as input data of the management system. Following this approach, we select three reference smart buildings with different contexts, and where our automation platform for energy monitoring is deployed. We carry out some experiments in these buildings to demonstrate the influence of the parameters identified as relevant in the energy consumption of the buildings. Then, in two of these buildings are applied different control strategies to save electrical energy. We describe the experiments performed and analyze the results. The first stages of this evaluation have already resulted in energy savings of about 23% in a real scenario.

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          Most cited references63

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          Sensing as a service model for smart cities supported by Internet of Things

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            Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey

            Appliance Load Monitoring (ALM) is essential for energy management solutions, allowing them to obtain appliance-specific energy consumption statistics that can further be used to devise load scheduling strategies for optimal energy utilization. Fine-grained energy monitoring can be achieved by deploying smart power outlets on every device of interest; however it incurs extra hardware cost and installation complexity. Non-Intrusive Load Monitoring (NILM) is an attractive method for energy disaggregation, as it can discern devices from the aggregated data acquired from a single point of measurement. This paper provides a comprehensive overview of NILM system and its associated methods and techniques used for disaggregated energy sensing. We review the state-of-the art load signatures and disaggregation algorithms used for appliance recognition and highlight challenges and future research directions.
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              Computer-aided building energy analysis techniques

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                June 2014
                30 May 2014
                : 14
                : 6
                : 9582-9614
                Affiliations
                Department of Information and Communications Engineering, University of Murcia, 30100 Murcia, Spain; E-Mails: bubeda@ 123456um.es (B.Ú.); skarmeta@ 123456um.es (A.F.S.); mzamora@ 123456um.es (M.A.Z.)
                Author notes
                [* ] Author to whom correspondence should be addressed; E-Mail: mvmoreno@ 123456um.es ; Tel.: +34-868-88-8771; Fax: +34-868-88-4151.
                Article
                sensors-14-09582
                10.3390/s140609582
                4118407
                24887040
                509f1055-bdfe-4dd4-8fb7-b36d1397208e
                © 2014 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 license ( http://creativecommons.org/licenses/by/3.0/).

                History
                : 14 March 2014
                : 14 May 2014
                : 21 May 2014
                Categories
                Article

                Biomedical engineering
                internet of things,smart building,energy efficiency
                Biomedical engineering
                internet of things, smart building, energy efficiency

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