Cognitive Adaptve Urban Systems for the Living Built Environment

Tagliabue, Lavinia Chiara; Ciribini, Angelo Luigi Camil; Pasquinelli, Alice; Giuda, Giuseppe Martino Di; Villa, Valentina; Angelis, Enrico De

doi:10.5176/2425-0112_uppd16.43

Cited by 2 publications

(3 citation statements)

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“…The BIM model can be implemented to translate the data gathered by the sensors into useful information for building operation and management. IoT and BIM-based building management enable the cognitive building [2], [19] vision in which the asset would learn from the analysed data and would setup the indoor conditions in the different spaces according to optimised schemes and protocols for energy saving [20] and improved user experience [1].…”

Section: Digital Twinmentioning

confidence: 99%

“…The optimisation of flows (i.e. people, data, energy, materials) leads to a better and easier way of developing our lives, and the evolutionary level is not the smart building in the smart city, but the cognitive building [1] in the cognitive city [2]. The cognitive building approach is an evolution of traditional home automation: A cognitive building can understand a user's needs directly based on their habits.…”

Section: Introductionmentioning

confidence: 99%

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An IoT framework for the assessment of indoor conditions and estimation of occupancy rates: results from a real case study

Rinaldi¹,

Flammini²,

Tagliabue

et al. 2019

ACTA IMEKO

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In recent years, energy-savings policies have affected many aspects of everyday life. Considering a typical building, the heating, ventilation, and air conditioning (HVAC) system is the most energy-consuming system. This consideration is especially true for large public-access buildings, such as schools, and public administrations. In these cases, the energy saving of buildings depends on the capability to optimise the behaviour of the HVAC. Typically, the HVAC control system is based on static models of the building, which consider the average occupancy rate of each of the rooms. On the contrary, in this research work, a cognitive system based on an occupancy rate model that is able to take into consideration user habits and indoor air quality (IAQ) provided by IoT sensors is considered for the control of HVAC systems. This approach has been applied to the eLUX lab building of the University of Brescia, Italy. Data provided by IoT IAQ sensors (temperature, relative humidity, CO2) is used to refine the results of the occupancy rates for the models of the rooms of this building. The experimental results show, as in 22.15 % of the samples, the CO2 concentration exceeded the 1,000 ppm threshold of the perception of fresh air and good conditions.

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Section: Digital Twinmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An IoT framework for the assessment of indoor conditions and estimation of occupancy rates: results from a real case study

Rinaldi¹,

Flammini²,

Tagliabue

et al. 2019

ACTA IMEKO

View full text Add to dashboard Cite

show abstract

“…The present research broadens the idea developed at the Smart campus of the University of Brescia, proposing the organization of an educational network in the lagoon of Venice, Italy [26] where historical heritages and decadence cohabit in a significant natural and built environment [27]. The educational network is based on cognitive principles [28] and Internet of Things (IoT) networks and devices [29] connecting the different educational facilities which are nowadays a reality in the place and which could become the future development of a rich and vivid cultural environment (the lagoon of Venice is one of the favourite location for artistic and architectural worldwide known and participated events that take place every two years as Biennale expositions) [30].…”

Section: Introductionmentioning

confidence: 99%

The Organization of a “Learnscape” Node in the Cognitive University Campuses Network in Poveglia Island

Bittenbinder¹,

Moretti²,

Tagliabue³

et al. 2020

J. sustain. dev. energy water environ. syst.

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Regeneration of existing buildings and abandoned areas is a governmental and European key objective. This research focuses on Poveglia: an abandoned island in the Venetian lagoon, Italy. The underpinning idea concerns the upgrade of Poveglia to a zero energy Cognitive University Campus, connected to other educational institutions in the lagoon. The vision aims at reusing abandoned islands combining architecture, learning environments and digital networks, to demonstrate the potential of new technologies for the transformation of abandoned areas. The case study demonstrates the effectiveness of employing improved and revised systems and tools, developed in eLUX lab at the University of Brescia, for the regeneration of the island. The inclusion of the island in a smart campus network results in triggering positive synergies both enhancing energy efficiency and the learning environment. A further development concerns the setup of strategies for historical preservation, energy efficiency and renewable energy production.

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Cognitive Adaptve Urban Systems for the Living Built Environment

Cited by 2 publications

References 0 publications

An IoT framework for the assessment of indoor conditions and estimation of occupancy rates: results from a real case study

An IoT framework for the assessment of indoor conditions and estimation of occupancy rates: results from a real case study

The Organization of a “Learnscape” Node in the Cognitive University Campuses Network in Poveglia Island

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