Abstract

As a result of an increasing demand for energy-efficient buildings with a better experience of user comfort, the built environment sector needs to consider the prediction of building energy performance, which during the design phase, is achieved when a building is handed over and used. There is, however, significant evidence that shows that buildings do not perform as anticipated. This discrepancy is commonly described as the ‘energy performance gap’. Building energy audit and post occupancy evaluation (POE) are among the most efficient processes to identify and reduce the energy performance gap and improve indoor environmental quality by observing, monitoring, and the documentation of in-use buildings’ operating performance. In this study, a case study of UAE university buildings’ energy audit, POE, and dynamic simulation were carried out to first, identify factors of the dynamic energy performance gap, and then to identify the utility of the strategy for reducing the gap. Furthermore, the building energy audit data and POE were applied in order to validate and calibrate a dynamic simulation model. This research demonstrated that the case study building’s systems were not operating as designed and almost a quarter of the cooling energy was wasted due to the fault of the building facility management of the mechanical systems. The more research findings were discussed in the paper.

Highlights

  • More than a third of global energy consumption and CO2 emission are associated with the building sector [1]; and awareness of the importance of buildings’ energy performance related with CO2 emissions has increased worldwide

  • Analysis during HVAC operation and performance check, the Air Handling Units (AHUs) fans were operated as Constant Air Volume (CAV)

  • One was rather than Variable Air Volume systems (VAVs), which would increase the during HVAC operation and performance check, the AHU fans were operated as CAV

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Summary

Introduction

More than a third of global energy consumption and CO2 emission are associated with the building sector [1]; and awareness of the importance of buildings’ energy performance related with CO2 emissions has increased worldwide. With the introduction of the first building regulations in the 1970s, energy conservation in general and later the interest in building energy consumption and its energy efficiency have increased multifold into the late 1990s and 2000s [5]. This strong interest and necessity have led to the development of a wide range of methodologies for predicting, analyzing, evaluating, and validating the energy performance of buildings. This discrepancy is referred to as the ‘Energy Performance Gap’ and is typically demonstrated through an energy

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