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Marco Perino

Researcher at Polytechnic University of Turin

Publications -  5
Citations -  661

Marco Perino is an academic researcher from Polytechnic University of Turin. The author has contributed to research in topics: Glazing & Convection. The author has an hindex of 5, co-authored 5 publications receiving 569 citations.

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The airborne transmission of infection between flats in high-rise residential buildings: Tracer gas simulation.

TL;DR: This study presents the modeling of this cascade effect using computational fluid dynamics (CFD) technique and finds that the presence of the pollutants generated in the lower floor is generally lower in the immediate upper floor by two orders of magnitude, but the risk of infection calculated by the Wells–Riley equation is only around one order of magnitude lower.
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Optimizing the configuration of a façade module for office buildings by means of integrated thermal and lighting simulations in a total energy perspective

TL;DR: In this article, the authors presented a methodology and the results of the search for the optimal transparent percentage in a facade module for low energy office buildings, in a temperate oceanic climate, on the four main orientations, on three versions of the office building and with different HVAC system's efficiency.
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Experimental analysis of the energy performance of a full-scale PCM glazing prototype

TL;DR: In this paper, a simple prototype of a phase change material (PCM) glazing system has been proposed and its energy performance has been analyzed and compared with a conventional fenestration.
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Improving thermal comfort conditions by means of PCM glazing systems

TL;DR: In this paper, a prototype of a simple phase change materials (PCM) glazing system is proposed and its behavior is compared with that of a conventional reference double glazed unit.
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A numerical model to evaluate the thermal behaviour of PCM glazing system configurations

TL;DR: In this paper, a numerical model that describes the thermo-physical behaviour of a PCM layer in combination with other transparent materials (i.e., glass panes) is developed to perform numerical analyses on various PCM glazing systems configurations.