Next Article in Journal
A Novel Micro- and Nano-Scale Positioning Sensor Based on Radio Frequency Resonant Cavities
Next Article in Special Issue
Dealing with the Effects of Sensor Displacement in Wearable Activity Recognition
Previous Article in Journal
Novel Algorithm for Identifying and Fusing Conflicting Data in Wireless Sensor Networks
Previous Article in Special Issue
A Vision-Based System for Intelligent Monitoring: Human Behaviour Analysis and Privacy by Context
Open AccessArticle

How can We Tackle Energy Efficiency in IoT BasedSmart Buildings?

Department of Information and Communications Engineering, University of Murcia, 30100 Murcia, Spain
Author to whom correspondence should be addressed.
Sensors 2014, 14(6), 9582-9614;
Received: 14 March 2014 / Revised: 14 May 2014 / Accepted: 21 May 2014 / Published: 30 May 2014
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. View Full-Text
Keywords: internet of things; smart building; energy efficiency internet of things; smart building; energy efficiency
MDPI and ACS Style

Moreno, M.V.; Úbeda, B.; Skarmeta, A.F.; Zamora, M.A. How can We Tackle Energy Efficiency in IoT BasedSmart Buildings? Sensors 2014, 14, 9582-9614.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

Only visits after 24 November 2015 are recorded.
Back to TopTop