Marsian : Smart clothes for the study in real conditions : vital signs, emotional, sensorial and comfort responses, vigilance and tasks

MARSIAN (Modular Autonomous Recorder System for the measurement of Autonomic Nervous System activity) is an ambulatroy measurement and monitoring portable system designed for the evaluation of emotional and sensorial reactions, especially in case of thermal comfort and discomfort.
Smart textiles integrate sensors, and communication system. Its own fibers have an active role of sensing or communication, in addition with its natural mechanical role.
There are 2 kinds of smart clothes :

Demand control ventilation

DVC is a new energy saving technology, buildings that use a DVC strategy use CO2 sensors that measure and regulate the amount of outdoor air supplied to the space.Standards and local building codes have been slow to adopt it.Available data suggests that DVC reduces ventilation, heating and cooling load by 10 to 30 %.

Thermal room modelling adapted to the test of HVAC control systems

A new room model has been developed and validated in order to be used for the assessment of HVAC sensors, assuming non-homogeneous room conditions and distinguishing between different sensor positions. .

Technical synthesis report: a summary of IEA ECBCS Annex 18 - Demand controlled ventilating systems.

The purpose of this report is to summarise the work of IEA Annex 18 on demand controlled ventilation. It is primarily aimed at building services practitioners, designers and policy makers who require background knowledge of the operational principles and range of applicability of this approach to ventilation. The primary focus is on applications and the conditions required for the operation of such systems. This international activity has been carried out by a working group of researchers from ten countries (Appendix 1) with Sweden bearing the main responsibility as Operating Agent.

Ventilation control and traffic pollution.

         

Ventilation control: effect on indoor concentrations of traffic pollutants.

This paper examines three different ventilation strategies aimed at reducing the indoor concentration of traffic pollutants by ventilation control. In the strategies the air change rate is adjusted in response to (a) the outdoor concentration of the pollutant (single-sensor strategy), (b) the outdoor and indoor concentration (double-sensor strategy) and (c) the time of the day (peak-period strategy). A double sensor was found to be twice as effective as the single sensor, reducing the mean indoor concentration of carbon monoxide by 34% over a 48-hour period.

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