Comparison of Part Load Model Prediction of Commercial Office Subsystem Energy Consumption with Sub-metered Data

Open Access
Salimifard, Parichehr
Graduate Program:
Architectural Engineering
Master of Science
Document Type:
Master Thesis
Date of Defense:
July 15, 2014
Committee Members:
  • James Freihaut, Thesis Advisor
  • part load energy use
  • sub-metering
  • inverse modeling
  • calibrated forward models
Among the three primary energy use sectors (buildings, industry, and transportation), building sector with about 40% of total U.S. primary energy used in 2011 has the highest energy consumption. Given the fact that buildings have had the least improvement in energy efficiency compared to the other energy use sectors in the past 50 years, there is a lot of potential to reduce primary energy consumption by attempting to make building sector more energy efficient. A good understanding of each end use energy consumption in the building is a prerequisite for identification of potential Energy Conservation Measures (ECMs). Energy modeling packages use part load equations as a base line to estimate the energy use associated with different end uses in the building. Since equipment is selected on a design day basis, but operates mainly in part load status, the accurate simulation of part load energy use is an important aspect of accurate energy simulation predictions of a building operation. Accuracy of each end use energy consumption estimation by forward modeling packages is essentially dependent on how well these equations represent the actual performance of equipment at part load. This thesis investigates how well each end use energy consumption is predicted by these part load curves.