Author: Matilde Santos Peñas
Advances in hardware, software and communications have been pointed out as promising tools for building a Smart City. These advances have made possible to face an increasingly complex functionality in different processes that can be found in any city. Applications called "smart" (smart building, smart water, smart energy, smart grid, smart city, smart transport, etc.), start to emerge around the planet. These smart applications are supported by ICT technologies and they connect the physical world and its digital representation. Where novel algorithms and knowledge representation provide with information which can be used to support decision making for users, local authorities, and so on. This paper presents a smart building approach with multiple sensors and the use of a low enthalpy geothermal system to maintain indoor comfort. We decided to go a step ahead and go from smart building to a smart city model of a real location. A smart city model is build and environment is simulated where semantic web technologies and linked open data play a key role.
Current work was partially funded by Research Grants: MICINN-INNOVA-INNPACTO IPT_2011_1164_920000 and MICINN-INNOVA-INNPACTO_IPT_2011_1584_920000 by the Spanish Government. First author thanks to the Alternative Energies Research and Development Foundation (FIDEAS) for a pre-doctoral grant and also CONACYT-CIATEQ for additional grant and economic support.
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.
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 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.
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