Crowdsensing for a sustainable comfort and for energy saving
| Autor: | Andrea Tartaglino, Stefano Paolo Corgnati, M. Malano, Luca Console, Alessandro Sciullo, Pierluigi Grillo, Amon Rapp, Eleonora Pantò, Guido Guaschino, Marina Nuciari, S. Sella, Paolo Gambino, Stefano Magariello, S. Dotta, G. Baruzzo, Rossana Simeoni, Rosy Ariano, P. Landolfo, Dario Cottafava, Ilario Gerlero, A. Giovannoli, Osman Arrobbio, Assunta Matassa, Mario Bonansone, Valentina Fabi, Verena Marie Barthelmes, Fabiana Vernero, E. Olivetta, Marcello Baricco, Dario Mana, Dario Padovan, S. Mosca, L. Contin, Marialuisa Sanseverino, L. Monterzino |
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| Rok vydání: | 2019 |
| Předmět: |
Internet of things
Architectural engineering Computer science 020209 energy 0211 other engineering and technologies Crowdsensing 02 engineering and technology HVAC Living lab Behavioural change Multidisciplinary approach Energy saving 021105 building & construction 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Wearable technology Civil and Structural Engineering business.industry Mechanical Engineering Building and Construction Energy consumption Indoor comfort Air conditioning business Wireless sensor network Efficient energy use |
| Zdroj: | Energy and Buildings. 186:208-220 |
| ISSN: | 0378-7788 |
| DOI: | 10.1016/j.enbuild.2019.01.007 |
| Popis: | Energy efficiency in buildings is a key issue in the current energy transition. In order to reduce building energy consumption, users’ behaviour and the perception of indoor environmental comfort must be taken into account; these aspects are inextricably linked to energy demand, consumption and related costs. In this paper, we present the methodological framework, technological solutions and outcomes of the ComfortSense project. ComfortSense aimed at decoupling energy demand from indoor comfort. We focused on Heating, Ventilating and Air Conditioning (HVAC) systems in buildings, on users’ behaviour and on comfort perception by treating buildings as socio-technical systems. Our approach - which was multidisciplinary and included the contribution of sociologists, physicists and computer scientists - was based on Internet of Things technologies, on a Living Lab design and testing process and on a Crowdsensing approach. Physical parameters (objective variables), such as temperature, CO2 concentration and relative humidity, were measured by a Wireless Sensor Network and by wearable devices, while the users’ perception of comfort (subjective variables) were recorded as real-time feedback through a Mobile App in three pilot buildings of the University of Turin, engaging about a thousand buildings’ users (professors, researchers, students and employees). Objective and subjective variables were correlated through an ad-hoc Direct Virtual Sensor. Thanks to the Direct Virtual Sensor forecasting we demonstrated that, adopting an adaptive indoor comfort management, users’ comfort can be remarkably improved while reducing the energy consumption of HVAC systems. |
| Databáze: | OpenAIRE |
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