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Personalizing Thermal Comfort in a Prototype Indoor Space

Authors:
Sotirios D Kotsopoulos
Antoine Cuenin
Federico Casalegno

Keywords: thermal comfort; simulation; fuzzy logic.

Abstract:
This paper presents an experimental method for monitoring and regulating thermal comfort at the interior of a house. It presents a function that was developed in MATLAB, aiming to compute the Predicted Mean Vote (PMV) and Predicted Percentage of Dissatisfied (PPD) indexes. Furthermore, an improvement of the MATLAB function was developed in the form of a Simulink simulation by using fuzzy logic. Although the method, at its current stage of development, cannot compute a PMV index value in the way it was intended, it does compute the operative temperature, allowing the residents to ascertain whether or not thermal comfort can be established in a particular indoor area.

Pages: 178 to 186

Copyright: Copyright (c) IARIA, 2013

Publication date: October 27, 2013

Published in: conference

ISSN: 2308-4537

ISBN: 978-1-61208-308-7

Location: Venice, Italy

Dates: from October 27, 2013 to October 31, 2013