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2005
Conference Paper
Titel
Fault detection and diagnosis of control strategies for air-handling units
Abstract
This paper introduces a novel approach to fault detection and diagnosis (FDD) of building control strategies for air-handling systems using a mathematical model that links linear algebra analysis and psychrometric analysis. The analysis of the psychrometric processes associated with each HVAC system component, which are obtainable from simulation using the program TRNSYS, leads to an assessment of the thermodynamic efficiency of the airhandling unit process governed by the control sequence under investigation. The proposed method allows for the elimination of potential faults of the control strategies in the design phase as well as for the evaluation of control strategies in existing buildings in order to make system operation more energy efficient, more economical, and more reliable.