SUBJECT: Ph.D. Proposal Presentation
   
BY: Christopher Fernandez
   
TIME: Tuesday, May 29, 2018, 2:00 p.m.
   
PLACE: MRDC Building, TBD
   
TITLE: Development, Evaluation, Analysis, and Application of a Reduced-Parameter Building Energy Model
   
COMMITTEE: Dr. Sheldon M. Jeter, Chair (ME)
Dr. Godfried L. Augenbroe (Arch)
Dr. Peter Loutzenhiser (ME)
Dr. Shannon Yee (ME)
Dr. Zhuomin Zhang (ME)
 

SUMMARY

Energy consumption is rising worldwide as well as an increasing desire to reduce energy usage. In the United States, 27% of the electricity used in the United States is for conditioning residential and commercial spaces. As a result, there is a desire for buildings to use less energy by designing and optimizing building constructions and energy systems. Most building designers now use energy modeling software such as EnergyPlus, DesignBuilder, EQuest, etc. However, the problem with the current lineup of programs is that they require manual inputs for material properties and usage loads; this results in having to manually adjust parameters whenever a different design needs to be tested or optimized. This thesis will show that a reduced parameter building model rigorously developed from first principles and refined by numerical investigations is a nearly ideal tool to use with measured performance data for investigating and predicting building energy performance and detecting faults in the building construction or energy systems. Furthermore, the model can be embedded in an automated building system for adaptive and predictive control and can also be used for higher level design studies. All applications are either impractical or inconvenient when using contemporary very detailed and computationally intensive models.