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Buildings in software And Software in buildings . (A discussion about Physical simulation and Empirical modeling). Jason Trager. “ FeedForward ”: Tweet # SDBKickOff. Feedback : TinyURL.com / SDBkickoff. Why do we make Building energy models? . To estimate energy usage in a new building

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Buildings in software and software in buildings

Buildings in softwareAndSoftware in buildings

(A discussion about Physical simulation and Empirical modeling)

Jason Trager

“FeedForward”: Tweet #SDBKickOff

Feedback : TinyURL.com/SDBkickoff


Why do we make building energy models
Why do we make Building energy models?

  • To estimate energy usage in a new building

  • To evaluate efficacy of a retrofit

  • To explore a theoretical design

  • To match the building code

  • MPC – Reduced order model



Retrofit using b e modeling
Retrofit using B.E. modeling

  • Model building

  • Simulate changes

  • Initiate changes

  • Calibrate model

  • Re-simulate

  • Change more building settings

  • Recalibrate


What does a model look like
What does a model look like?

  • Building Geometry

Slide credit : Ronxgin Yin, DRRC



Buildings in software and software in buildings


Empirical building adjustment
Empirical building adjustment models?

  • Analyze data from sources

  • Make intelligent choices about adjusting building settings

  • Measure results

  • Produce counterfactual from data

  • Compare actual to predicted

  • Make more adjustments





How good is empirical analysis
How good is empirical analysis? models?

MAE: Mean Absolute Error

RMSE: Root Mean Squared Error

MAPE : Mean Absolute Percent Error

RMSPE: Root Mean Squared Percent Error

RelBias: Relative Bias


Empirical modeling and software control
empirical modeling and software control models?

  • Measure, predict responses of sensor streams

  • Search for faults

  • Search for mis-labeled streams

  • Institute rule based control?

  • Apply machine learning?

  • Apply Model Predictive Control?


Buildings in software and software in buildings

How do we use data richness to develop better models? quantative ways to control the building?

How will this succeed over the need for simulating the building and adjusting it manually?


Buildings in software and software in buildings

Where models? does the pareto optimum occur with respect to sensor and data density in a building? When does additional data not yield more benefit?


Buildings in software and software in buildings

Baseline Measures models?

Fault Detection

Sensor Augmentation

Automated Control

Production Scale