Development and calibration of a reduced-order energy performance model for a mixed-use building

Bing Dong; Zheng O'Neill; Dong Luo; Bailey Trevor

Development and calibration of a reduced-order energy performance model for a mixed-use building

Bing Dong, Zheng O'Neill, Dong Luo, Bailey Trevor

Research output: Contribution to conference › Paper › peer-review

Abstract

Previous studies show that building HVAC systems can consume greater than 20% more electrical energy than was the design intent largely because of equipment performance degradation, equipment failures, or detrimental interactions among subsystems. A key barrier is the lack of information at sufficient detail to isolate abnormal changes in load conditions or anomalous equipment operations. One of the solutions is to develop model-based diagnostic methods. Hence, developing a calibrated energy performance model becomes the key component. In this paper, an integrated energy model for a mix-use building was developed based 011 a reduced-order thermal model, which includes building envelope model, and HVAC primary and secondary system models. The integrated model was validated against real-time measured data within ±15% error in terms of the load differences.

Original language	English (US)
Pages	636-643
Number of pages	8
State	Published - 2013
Externally published	Yes
Event	13th Conference of the International Building Performance Simulation Association, BS 2013 - Chambery, France Duration: Aug 26 2013 → Aug 28 2013

Conference

Conference	13th Conference of the International Building Performance Simulation Association, BS 2013
Country/Territory	France
City	Chambery
Period	8/26/13 → 8/28/13

ASJC Scopus subject areas

Civil and Structural Engineering
Building and Construction
Modeling and Simulation

Cite this

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title = "Development and calibration of a reduced-order energy performance model for a mixed-use building",

abstract = "Previous studies show that building HVAC systems can consume greater than 20% more electrical energy than was the design intent largely because of equipment performance degradation, equipment failures, or detrimental interactions among subsystems. A key barrier is the lack of information at sufficient detail to isolate abnormal changes in load conditions or anomalous equipment operations. One of the solutions is to develop model-based diagnostic methods. Hence, developing a calibrated energy performance model becomes the key component. In this paper, an integrated energy model for a mix-use building was developed based 011 a reduced-order thermal model, which includes building envelope model, and HVAC primary and secondary system models. The integrated model was validated against real-time measured data within ±15% error in terms of the load differences.",

author = "Bing Dong and Zheng O'Neill and Dong Luo and Bailey Trevor",

year = "2013",

language = "English (US)",

pages = "636--643",

note = "13th Conference of the International Building Performance Simulation Association, BS 2013 ; Conference date: 26-08-2013 Through 28-08-2013",

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T1 - Development and calibration of a reduced-order energy performance model for a mixed-use building

AU - Dong, Bing

AU - O'Neill, Zheng

AU - Luo, Dong

AU - Trevor, Bailey

PY - 2013

Y1 - 2013

N2 - Previous studies show that building HVAC systems can consume greater than 20% more electrical energy than was the design intent largely because of equipment performance degradation, equipment failures, or detrimental interactions among subsystems. A key barrier is the lack of information at sufficient detail to isolate abnormal changes in load conditions or anomalous equipment operations. One of the solutions is to develop model-based diagnostic methods. Hence, developing a calibrated energy performance model becomes the key component. In this paper, an integrated energy model for a mix-use building was developed based 011 a reduced-order thermal model, which includes building envelope model, and HVAC primary and secondary system models. The integrated model was validated against real-time measured data within ±15% error in terms of the load differences.

AB - Previous studies show that building HVAC systems can consume greater than 20% more electrical energy than was the design intent largely because of equipment performance degradation, equipment failures, or detrimental interactions among subsystems. A key barrier is the lack of information at sufficient detail to isolate abnormal changes in load conditions or anomalous equipment operations. One of the solutions is to develop model-based diagnostic methods. Hence, developing a calibrated energy performance model becomes the key component. In this paper, an integrated energy model for a mix-use building was developed based 011 a reduced-order thermal model, which includes building envelope model, and HVAC primary and secondary system models. The integrated model was validated against real-time measured data within ±15% error in terms of the load differences.

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M3 - Paper

AN - SCOPUS:84886647454

SP - 636

EP - 643

T2 - 13th Conference of the International Building Performance Simulation Association, BS 2013

Y2 - 26 August 2013 through 28 August 2013

ER -

Development and calibration of a reduced-order energy performance model for a mixed-use building

Abstract

Conference

ASJC Scopus subject areas

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