P&ID-based symptom detection for automated energy performance diagnosis in HVAC systems

Journal article (2020)

Authors

A. Taal The Hague University of Applied Sciences
L.C.M. Itard Building Energy Epidemiology - Architecture and the Built Environment
Research Group
Building Energy Epidemiology (Architecture and the Built Environment) (TU Delft)
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Published Date

2020

Language

English

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Faculty

Architecture and the Built Environment

Department

Architectural Engineering +Technology

Research Group

Building Energy Epidemiology

Abstract

Current symptom detection methods for energy diagnosis in heating, ventilation and air conditioning (HVAC) systems are not standardised and not consistent with HVAC process and instrumentation diagrams (P&IDs) as used by engineers to design and operate these systems, leading to a very limited application of energy performance diagnosis systems in practice. This paper proposes detection methods to overcome these issues, based on the 4S3F (four types of symptom and three types of faults) framework. A set of generic symptoms divided into three categories (balance, energy performance and operational state symptoms) is discussed and related performance indicators are developed, using efficiencies, seasonal performance factors, capacities, and control and design-based operational indicators. The symptom detection method was applied successfully to the HVAC system of the building of The Hague University of Applied Sciences. Detection results on an annual, monthly and daily basis are discussed and compared.

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