The International                        UPDATED 22nd May 2011
Journal of Ventilation
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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).

References

Bergland L, Gonzales R, Gagge A: (1990)Predicting human performance decrement from discomfort and ET”, Proceedings of the fifth International Conference on Indoor Air and Climate, Toronto , Canada , pp215-220.

Blondeau P, Spérandio M, Allard F: (2002) “Multicriteria analysis of ventilation in summer period”, Building and Environment, 37, pp165-176.

Bruant M: (1997) “Développement et paramétrage de contrôleurs flous multicritères de confort d’ambiance”, Phd, Institut National des Sciences Appliquées de Lyon. Lyon .

Dounis AI, Bruant M, Santamouris M, Guarracino G and Michel P: (1996) “Comparison of conventional and fuzzy control of indoor air quality in buildings”, Journal of Intelligent and Fuzzy Systems, 4, (2) pp131-140.

El Mankibi M, Michel P and Guarracino G: (2001) ”Control strategies for hybrid ventilation development of an experimental device”, Proceedings of The 22nd Annual AIVC Conference, Bath .

El Mankibi M: (2003) Développement et évaluation numérique et expérimentale de stratégies de gestion de la ventilation hybride”, Phd, Institut National des Sciences Appliquées de Lyon. Lyon ..

Heiselberg P (ed): (2000) “Principles of hybrid ventilation”, Aalborg University . Aalborg .

McCartney KJ and Nico JF (2002)Developing an adaptive control algorithm for Europe, Energy and Buildings, 34, (6) pp623-635.

Michel P: (2000)Fuzzy controllers and smart tuning techniques for energy efficiency and overall performance of HVAC systems in building”, Final report,  European project Genesys.

Raju GVS, Zhou J and Kisner RA: (1991) “Hierarchical fuzzy control”, International Journal of Control, 54, pp1201-1216.

Zadeh LA: (1965) “Fuzzy sets”, Information and Control, pp338-353.

IJV Volume 4 No 3
Contents

Paper 1: Vent Configuration

Paper 2: Passive Cooling

Paper 3: Post Occupancy

Paper 4: Hybrid Ventilation

Paper 5: Bioclimate

Paper 6: Human Factors

Paper 7: CFD Reliability

Paper 8: Wind Pressure

Paper 9: Similarity Concept

 

 

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