Validating a new model for rapid multi-dimensional combined heat and air infiltration building energy simulation

Shdid, Caesar Abi; Younes, Chadi

doi:10.1016/j.enbuild.2014.11.038

Cited by 7 publications

(1 citation statement)

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“…Unfortunately, it is not always possible to assess all of the assumptions that affect energy efficiency and performance during the design process of the building. This issue highlights the demand for a high level of reliability and accuracy of the building model outputs [9], evaluation models from different or multiple perspectives [10,11], and software validation [12]. However, discrepancies are usually between the modelled and measured parameters, referred to as the "performance gap".…”

Section: Introductionmentioning

confidence: 99%

Development and Analysis of a Dynamic Energy Model of an Office Using a Building Management System (BMS) and Actual Measurement Data

et al. 2021

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Calibration of the energy model of a building is one of the essential tasks required to determine the efficiency of building management systems, and both their own and other systems’ improvement potential. In order to make the building energy model as accurate as possible, it is necessary to collect comprehensive data on its operation and sometimes to assess the missing information. This paper represents the process of developing an energy model for an administrative building and its calibration procedure, using detailed long-term measurement and building management system (BMS) data. Indoor air temperature, CO₂ concentration, and relative humidity were experimentally measured and evaluated separately. Such dual application of data reduces the inaccuracy of the assumptions made and assesses the model’s accuracy. The DesignBuilder software developed the building model. During the development of the model, it was observed that the actual energy consumption needs to be assessed, as the assumptions made during the design about the operation and management of HVAC systems often do not coincide with the actual situation. After integrating BMS information on HVAC management into the building model, the resulting discrepancy between the model results and the actual heat consumption was 6.5%. Such a model can be further used to optimize management decisions and assess energy savings potential.

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Section: Introductionmentioning

confidence: 99%

Development and Analysis of a Dynamic Energy Model of an Office Using a Building Management System (BMS) and Actual Measurement Data

et al. 2021

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Effect of air leakage on the hygrothermal performance of highly insulated wood frame walls: Comparison of air leakage modelling methods

Wang

2017

Building and Environment

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Study on moisture condensation on the interior surface of buildings in high humidity climate

You

et al. 2017

Building and Environment

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Validating a new model for rapid multi-dimensional combined heat and air infiltration building energy simulation

Cited by 7 publications

References 10 publications

Development and Analysis of a Dynamic Energy Model of an Office Using a Building Management System (BMS) and Actual Measurement Data

Development and Analysis of a Dynamic Energy Model of an Office Using a Building Management System (BMS) and Actual Measurement Data

Effect of air leakage on the hygrothermal performance of highly insulated wood frame walls: Comparison of air leakage modelling methods

Study on moisture condensation on the interior surface of buildings in high humidity climate

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