CALIBRO: an R package for the automatic calibration of building energy simulation models

Filippo Monari, Paul Strachan

Research output: Contribution to conferencePaper

Abstract

Bayesian probability theory offers a powerful framework for the calibration of building energy models (Bayesian calibration). The major issues impeding
its routine adoption are its steep learning curve, and the complicated setting up of the required calculation. This paper introduces CALIBRO, an R package
which has the objective of facilitating the undertaking of Bayesian calibration of building energy models. An overview of the techniques and procedures involved in CALIBRO is given, as well as demonstrations of its capability and reliability through two examples.

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Calibration
Demonstrations

Keywords

  • CALIBRO
  • building energy models
  • building energy simulation (BES)
  • Bayesian probability theory
  • Bayesian calibration

Cite this

Monari, F., & Strachan, P. (2017). CALIBRO: an R package for the automatic calibration of building energy simulation models. Paper presented at Building Simulation 2017, San Fransisco, United States.
Monari, Filippo ; Strachan, Paul. / CALIBRO : an R package for the automatic calibration of building energy simulation models. Paper presented at Building Simulation 2017, San Fransisco, United States.
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abstract = "Bayesian probability theory offers a powerful framework for the calibration of building energy models (Bayesian calibration). The major issues impedingits routine adoption are its steep learning curve, and the complicated setting up of the required calculation. This paper introduces CALIBRO, an R packagewhich has the objective of facilitating the undertaking of Bayesian calibration of building energy models. An overview of the techniques and procedures involved in CALIBRO is given, as well as demonstrations of its capability and reliability through two examples.",
keywords = "CALIBRO, building energy models, building energy simulation (BES), Bayesian probability theory, Bayesian calibration",
author = "Filippo Monari and Paul Strachan",
year = "2017",
month = "8",
day = "7",
language = "English",
note = "Building Simulation 2017 : The 15th Biennial Conference of the International Building Performance Simulation Association (IBPSA), BS17 ; Conference date: 07-08-2017 Through 09-08-2017",
url = "http://www.buildingsimulation2017.org/",

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Monari, F & Strachan, P 2017, 'CALIBRO: an R package for the automatic calibration of building energy simulation models' Paper presented at Building Simulation 2017, San Fransisco, United States, 7/08/17 - 9/08/17, .

CALIBRO : an R package for the automatic calibration of building energy simulation models. / Monari, Filippo; Strachan, Paul.

2017. Paper presented at Building Simulation 2017, San Fransisco, United States.

Research output: Contribution to conferencePaper

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T1 - CALIBRO

T2 - an R package for the automatic calibration of building energy simulation models

AU - Monari, Filippo

AU - Strachan, Paul

PY - 2017/8/7

Y1 - 2017/8/7

N2 - Bayesian probability theory offers a powerful framework for the calibration of building energy models (Bayesian calibration). The major issues impedingits routine adoption are its steep learning curve, and the complicated setting up of the required calculation. This paper introduces CALIBRO, an R packagewhich has the objective of facilitating the undertaking of Bayesian calibration of building energy models. An overview of the techniques and procedures involved in CALIBRO is given, as well as demonstrations of its capability and reliability through two examples.

AB - Bayesian probability theory offers a powerful framework for the calibration of building energy models (Bayesian calibration). The major issues impedingits routine adoption are its steep learning curve, and the complicated setting up of the required calculation. This paper introduces CALIBRO, an R packagewhich has the objective of facilitating the undertaking of Bayesian calibration of building energy models. An overview of the techniques and procedures involved in CALIBRO is given, as well as demonstrations of its capability and reliability through two examples.

KW - CALIBRO

KW - building energy models

KW - building energy simulation (BES)

KW - Bayesian probability theory

KW - Bayesian calibration

M3 - Paper

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Monari F, Strachan P. CALIBRO: an R package for the automatic calibration of building energy simulation models. 2017. Paper presented at Building Simulation 2017, San Fransisco, United States.