1,721,117 research outputs found
INDOOR AIR QUALITY - Inquinamento da Radon, Strumenti di diagnosi e validazione di progetto
Full text linkNell’ambito dell’analsi dell’IAQ, appare sempre più necessario lo sviluppo di strumenti di simulazione che consentano una valutazione attendibile delle conseguenze delle singole scelte progettuali sulla performance IAQ, forniscano al progettista indicazioni significative anche in situazioni non del tutto determinate, permettano analisi di scenario in modo rapido ed efficace e supportino i processi di diagnosi. Questo testo analizza le problematiche tecnologiche e sanitarie relative all’inquinamento indoor con specifica attenzione al radon e approfondisce la tematica della modellazione dei fenomeni fisici inerenti l’IAQ, proponendo un modello qualitativo ed un modello analitico (basato su reti bayesiane) dell’inquinamento indoor da radon che elabora le conoscenze tecniche di un esperto IAQ. La metodologia è facilmente estendibile ad altre famiglie di inquinamenti indoor
Manutenzione programmata degli involucri: un modello per la valutazione preventiva
No full textNapoli (IT
Non sequential patterns analysis along time for "meaningful learning" strategies of navigation detection
No full textModelli probabilistici per il supporto della progettazione energetica: un approccio case-based.
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Energy Saving trhough adaptive control of ventilation systems
No full textPurpose Embedded
sensors coupled with intelligent control logics may be able to provide adaptive control of conditioning
systems in buildings. Current building systems are inefficient in their energy usage in maintaining
occupant comfort because they operate according to fixed schedules and maximum design occupancy
assumptions1
. In this paper we present first models of ventilation systems in subways, targeted
at estimating the savings attainable from the application of an intelligent adaptive control and to
design an object-based model. This model will be implemented to control in real-time the operation
of the ventilation systems. The models referred to are those of the test-case of Passeig de Gracia
(PdG) subway station in Barcelona. Method This research is part of a EU FP7 currently funded project,
entitled SEAM4US2
, aimed at defining a technological and methodological framework for optimized
energy management in public underground spaces and at developing a fully featured pilot
system for the dynamic control of the energy performances in PdG subway station in Barcelona. This
paper deals with specifically energy savings from adaptive predictive control of fans and investigates
how models can be developed. This particular station is served by axial fans with a ducted outlet3
.
Performances were simulated through a Response Factors Method software programme. Adaptive
and predictive control was designed, relaying predictions of user behavior in the station and receiving
real-time context data from pervasive monitoring and actuator networks. Energy savings derived
from the use of such an adaptive control were estimated, and a first lumped parameters model for
the implementation of the predictive and adaptive control was developed in the DymolaTM environment.
Results & Discussion We found that replacing the old-fashioned fixed schedule ventilation
with the new adaptive approach, conditioning may be differentiated according to space and time. Theory suggests this may result in non-traction energy savings well above 10%
Automation solutions supporting real-time safety and work progress management in construction
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