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Advanced Technology Centre CIATEQ, A.C., Av. del Retablo 150 Col. Constituyentes Fovissste Querétaro, Qro. 76150, Mexico

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Centre for Automation and Robotics UPM-CSIC, Arganda del Rey, Madrid 28500, Spain

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Department of Computer Architecture and Automatic Control, Faculty of Informatics, Complutense University, Madrid 28040, Spain





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Author to whom correspondence should be addressed.



Academic Editor: Vittorio M. N. Passaro

Abstract Smart applications of the Internet of Things are improving the performance of buildings, reducing energy demand. Local and smart networks, soft computing methodologies, machine intelligence algorithms and pervasive sensors are some of the basics of energy optimization strategies developed for the benefit of environmental sustainability and user comfort. This work presents a distributed sensor-processor-communication decision-making architecture to improve the acquisition, storage and transfer of thermal energy in buildings. The developed system is implemented in a near Zero-Energy Building nZEB prototype equipped with a built-in thermal solar collector, where optical properties are analysed; a low enthalpy geothermal accumulation system, segmented in different temperature zones; and an envelope that includes a dynamic thermal barrier. An intelligent control of this dynamic thermal barrier is applied to reduce the thermal energy demand heating and cooling caused by daily and seasonal weather variations. Simulations and experimental results are presented to highlight the nZEB thermal energy reduction. View Full-Text

Keywords: decision-making architecture; distributed sensor network; dynamic thermal barrier; thermal energy; smart building; nZEB decision-making architecture; distributed sensor network; dynamic thermal barrier; thermal energy; smart building; nZEB





Autor: Oscar Hernández Uribe 1, Juan Pablo San Martin 2, María C. Garcia-Alegre 2,* , Matilde Santos 3 and Domingo Guinea 2

Fuente: http://mdpi.com/



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