Secondary Author(s)
Raustad, Richard; Parker, Danny; Vieira, Robin
Report Number
FSEC-PF-481-20
URL
http://publications.energyresearch.ucf.edu/wp-content/uploads/2020/09/FSEC-PF-481-20.pdf
Keywords
Energy Conservation; Utilities; Roofs; Energy Savings; Peak Demand Reduction; AMI Data; Utility Commercial Rebate Programs; Cool Roofs
Abstract
Solar reflective, or cool roofs, are a demonstrated method of reducing air conditioning energy, particularly in cooling-dominated climates. Similarly, efficient lighting or mechanical equipment replacement programs have a reputation for achieving large savings in c01mnercial buildings. Savings estimates for such measures have historically used monthly utility bills, which only provide a macroscopic view of utility program savings. Advanced Metering Infrastructure (AMI) is commonly used in the U.S. by utilities for residential and commercial customers and provides not only a valuable record of changing premise energy use and demand profiles but in much greater detail than utility bills, if desired.
Partnering with Orlando Utilities Commission (OUC) in Florida, we developed a sophisticated weather-responsive methodology that disaggregates site space heating, cooling, and baseload energy using 15-minute AMI kWh and local weather data. This evaluation technique was applied to OUC's commercial "cool roofs" and "custom incentives" programs to provide improved utility program energy and peak demand savings estimates.
This paper was published in 2020 ACEEE Summer Study on Energy Efficiency in Buildings.
Date Published
8-17-2020
Identifiers
21
Subjects
Energy conservation; Energy consumption--Measurement; Energy consumption--Data processing; Commercial buildings--Energy conservation
Local Subjects
Buildings - Energy Conservation; Buildings - Roofs; Utilities
Type
Text; Document
Contributor (Linked Data)
Raustad, Richard [LC]
Collection
FSEC Energy Research Center® Collection
STARS Citation
Florida Solar Energy Center and Fenaughty, Karen, "Improving Energy Savings and Peak Demand Reduction Estimates Using AMI Data for Utility Commercial Rebate Programs" (2020). FSEC Energy Research Center®. 21.
https://stars.library.ucf.edu/fsec/21
Notes
This paper was published in 2020 ACEEE Summer Study on Energy Efficiency in Buildings.