Preliminary performance monitoring plan for energy retrofit: A cognitive building: The “Mandolesi Pavillon” at the University of Cagliari

The paper proposes a sensorization plan for monitoring a relevant architectural case study at the University of Cagliari, in order to verify indoor thermo-hygrometric conditions and define a set of interventions which should be compatible with building preservation issue and oriented at improving its energy performance. The research aims at understanding how to organize and structure the compliance of the building, in order to anticipate users' needs and how the centrality of these requirements can influence the definition of new retrofit models. Firstly, the proposed workflow has been tested on a pilot building with the same use: the eLUX lab, e.g. the Smart Campus Demonstrator at the University of Brescia and then, an adaptation of the developed cognitive concept has been applied to the “Mandolesi Pavilion”, an icon building at the University of Cagliari Campus. This adaptation and the main features transferred to from the experience in Brescia to Cagliari are here presented. The research is ongoing and first results are discussed.

[1]  David Lee,et al.  ENERNET: Studying the dynamic relationship between building occupancy and energy consumption , 2012 .

[2]  Plamen Angelov,et al.  Autonomous Learning Systems: From Data Streams to Knowledge in Real-time , 2013 .

[3]  Massimiliano Manfren,et al.  Tracking Users’ Behaviors through Real-time Information in BIMs: Workflow for Interconnection in the Brescia Smart Campus Demonstrator , 2017 .

[4]  L. C. Tagliabue,et al.  The Brescia Smart Campus Demonstrator. Renovation toward a zero Energy Classroom Building , 2015 .

[5]  Massimiliano Manfren,et al.  Probabilistic behavioural modeling in building performance simulation—The Brescia eLUX lab , 2016 .

[6]  Lavinia Chiara Tagliabue,et al.  Bi-directional interactions between users and cognitive buildings by means of smartphone app , 2016, 2016 IEEE International Smart Cities Conference (ISC2).

[7]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[8]  Giuseppe Martino Di Giuda,et al.  Definizione preliminare del monitoraggio energetico per l'implementazione di un edificio cognitivo. Il Padiglione Mandolesi dell'Università di Cagliari Preliminary definition of an energy monitoring for the implementation of a cognitive building. The "Mandolesi Pavillon" at the University of Cagliar , 2017 .

[9]  Enrico De Angelis,et al.  Energy management of the Smart City through Information Systems and Models , 2016 .

[10]  H. Pfohl,et al.  The Impact of Industry 4.0 on the Supply Chain , 2015 .

[11]  Giuliano Dall'O' GREEN ENERGY AUDIT - Manuale operativo per la diagnosi energetica e ambientale degli edifici , 2011 .

[12]  Alessandra Flammini,et al.  Exploiting Internet of Things and building information modeling framework for management of cognitive buildings , 2016, 2016 IEEE International Smart Cities Conference (ISC2).