Paper 4: Volume 4 No.3 December 2005 Edition
Development
and Assessment of Hybrid Ventilation Control Strategies using a
Multicriteria Approach
M.
El Mankibi and P. Michel
LASH, ENTPE, Rue Maurice Audin, 69518
Vaulx en
Velin
,
France
Abstract
The purpose of this paper is to provide a multicriteria
approach in order to develop and assess several control methods for hybrid
ventilation. This is important because there is currently a great interest
in hybrid ventilation as an energy efficient strategy for achieving
thermal comfort and good indoor air quality. To reach those targets and
manage hybrid ventilation systems, advanced control strategies, based on
hierarchical fuzzy controllers, have been developed at the LASH
laboratory. In order to permit an objective evaluation of these
controllers, in relation to the integration of comfort, indoor air
quality, energy and stability criteria, two fitness functions have been
defined and tested.
The principle of the developed functions consists of
converting all assessment criteria to financial equivalents. This takes
into account occupant productivity, discomfort cost, heating and
ventilating cost, and operating cycles of equipment. Such inhomogeneous
terms are not very easy to assess and the main difficulty is to define
equivalences between them. To achieve this, both static and adaptive
approaches of thermal comfort have been taken into account. PMV, adaptive
comfort temperature and CO2 concentrations have been used to
evaluate the comfort criteria.
First, several simulations under winter and summer
conditions were performed using a numerical model. The
relative performances of developed architectures were then studied using a
sensitivity study. Finally the optimum method was tested using an
experimental test cell (HybCell) which was conceived to develop and assess
controllers for hybrid ventilation.
The results show that mutlticriteria control architecture was able to
manage heating and ventilation to provide optimal thermal comfort and
indoor air quality at the lowest possible cost.
Key words: hybrid
ventilation, control strategies, comfort,
energy efficiency, fitness functions, fuzzy logic, experimental test cell
(HybCell).
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