Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Smart Building: Decision Making Architecture for Thermal Energy Management
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. ; Current work was partially funded by Research Grants: MICINN-INNOVA-INNPACTO_ IPT_2011_1164_920000 and MICINN-INNOVA-INNPACTO_IPT_2011_1584_920000. First author would like to thank Research and Development on Alternative Energies Foundation (FIDEAS) for a pre-doctoral grant and also CONACYT-CIATEQ for additional training and economic support. We acknowledge support by the CSIC Open Access Publication Initiative through its Unit of Information Resources for Research (URICI). ; Peer reviewed
Smart Building: Decision Making Architecture for Thermal Energy Management
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. ; Current work was partially funded by Research Grants: MICINN-INNOVA-INNPACTO_ IPT_2011_1164_920000 and MICINN-INNOVA-INNPACTO_IPT_2011_1584_920000. First author would like to thank Research and Development on Alternative Energies Foundation (FIDEAS) for a pre-doctoral grant and also CONACYT-CIATEQ for additional training and economic support. We acknowledge support by the CSIC Open Access Publication Initiative through its Unit of Information Resources for Research (URICI). ; Peer reviewed
Smart Building: Decision Making Architecture for Thermal Energy Management
Hernández Uribe, Óscar (Autor:in) / San-Martín Martínez, J. Pablo (Autor:in) / García-Alegre Sánchez, María C. (Autor:in) / Santos, Matilde (Autor:in) / Guinea Díaz, Domingo (Autor:in) / Ministerio de Ciencia e Innovación (España) / Fundación Investigación y Desarrollo de Energías Alternativas / Consejo Nacional de Ciencia y Tecnología (México) / Consejo Superior de Investigaciones Científicas (España)
30.10.2015
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC:
690
Smart building: decision making architecture for thermal energy management
| BASE | 2015
Building Energy Retrofits: A Review of Decision-Making Models
| Springer Verlag | 2022
An optimization framework for building energy retrofits decision-making
| British Library Online Contents | 2017
An optimization framework for building energy retrofits decision-making
| Online Contents | 2017
Building Energy Retrofits: A Review of Decision-Making Models
| TIBKAT | 2023