articleEnergy and BuildingsFeb 28, 2022HYBRID OA

A Digital Twin predictive maintenance framework of air handling units based on automatic fault detection and diagnostics

HHHaidar HosamoPRPaul Ragnar SvennevigKSKjeld SvidtDHDaguang HanHKHenrik Kofoed Nielsen

University of Agder · Aalborg University · +1 more institution

Indexed incrossref

Abstract

The building industry consumes the most energy globally, making it a priority in energy efficiency initiatives. Heating, ventilation, and air conditioning (HVAC) systems create the heart of buildings. Stable air handling unit (AHU) functioning is vital to ensuring high efficiency and extending the life of HVAC systems. This research proposes a Digital Twin predictive maintenance framework of AHU to overcome the limitations of facility maintenance management (FMM) systems now in use in buildings. Digital Twin technology, which is still at an initial stage in the facility management industry, use Building Information Modeling (BIM), Internet of things (IoT) and semantic technologies to create a better…

Citation impact

295
total citations
FWCI
35.22
Percentile
100%
References
85
Citations per year

Authors

5

Topics & keywords

Topics
Keywords
  • HVAC
  • Predictive maintenance
  • Fault detection and isolation
  • Reliability engineering
  • Engineering
  • Facility management
  • Computer science
  • Air conditioning
UN Sustainable Development Goals
  • Affordable and clean energy
No related works found for this paper.

Funding