Author: María C. García-Alegre

Desarrollo de un dispositivo sensorial de bajo coste para supervisión y control de una vivienda con uso de energía geotérmica de baja entalpía

OSCAR HERNANDEZ URIBE Domingo Guinea Díaz María C. García-Alegre (2014)

Actualmente los edificios consumen cerca del 35% de la energía consumida en el mundo y para mantener la temperatura de confort interior emplean aproximadamente el 60% en sistemas de climatización. Para reducir el consumo en este sector es necesario no sólo impulsar el uso de energías renovables sino también utilizar el flujo accesible en la envolvente mediante los sistemas de cubiertas y fachadas activas mediante esquemas inteligentes de supervisión y control con el uso de sistemas de sensores en viviendas y edificios al igual que se ha hecho en el sector de la automoción. Con este fin se presenta el diseño de un esquema sensorial de bajo coste y como caso de uso se presenta la supervisión y control en una vivienda de consumo de energía casi nulo que cuenta con un sistema de energía de geotermia de baja entalpía.

Conference proceedings

Sensores nZEB Transferencia de calor Geotermia IHM Energía renovable INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ORDENADORES DISEÑO DE SISTEMAS SENSORES

A context-awareness architecture for managing thermal energy in an nZEB building

OSCAR HERNANDEZ URIBE Matilde Santos Peñas María C. García-Alegre Domingo Guinea Díaz (2015)

Global warming is seriously affecting society, but also to a lesser extent the longevity of the population and migration of people from the countryside to the cities present challenges for governments. Smart applications (smart city, smart grid, smart buildings, smart water, smart health) offer an alternative to deal with these challenges. Pervasive sensors, with increasingly powerful features, allow innovative developments, making possible a progressive growth in the so-called smart applications. Because information is the backbone of any type of smart environment, this work presents an architecture approach to take advantage of the capabilities of advanced sensors. Specifically in this work this architecture is applied to renewable energy systems for a better management of the thermal energy. A semantic sensors network has been developed to provide context awareness for managing thermal flow in a near Zero Energy Building (nZEB). The key elements are an Ontology Web Language (OWL) to describe the sensors and contextual knowledge, and a Semantic Web Rule Language (SWRL) to represent rule-based inferences for context reasoning. The main goal is to improve thermal energy comfort in a building with a reduction in the energy used.

O. H. U. thanks to the Alternative Energies Research and Development Foundation for a pre-doctoral grant and also CONACYT-CIATEQ for additional economic support.

Conference proceedings

Smart energy Control architecture Web ontology Context-awareness Semantic sensor nZEB building Decision support systems Ubiquitous computing Building management systems Ontologies (artificial intelligence) Power engineering computing INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ORDENADORES SISTEMAS DE CONTROL DEL ENTORNO

Smart building: decision making architecture for thermal energy management

OSCAR HERNANDEZ URIBE Juan Pablo San Martin Martinez María C. García-Alegre Matilde Santos Peñas Domingo Guinea Díaz (2015)

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.

Article

Decision-making architecture Distributed sensor network Dynamic thermal barrier Thermal energy Smart building nZEB INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ORDENADORES DISPOSITIVOS DE CONTROL