Secondary Author(s)

Parker, Danny; Martin, Eric

Report Number

FSEC-PF-470-17

URL

http://publications.energyresearch.ucf.edu/wp-content/uploads/2018/06/FSEC-PF-470-17.pdf

Keywords

Energy Efficiency; Peak Demand; Monitoring; Energy Analysis; Buildings; Energy efficiency retrofits; Real-time energy measurement; Utility energy management; Residential energy consumption; Peak demand reduction

Abstract

This paper describes how utilities can 'make reductions real' through real-time measurement of energy end-uses and corresponding retrofit opportunities. A field evaluation of the methodology was conducted from 2012 to 2016 with Florida Power and Light (FPL), an investor owned utility. A collaborative program between the U.S. Department of Energy (DOE) Building America and FPL led to an ambitious residential energy-efficiency retrofit study aimed to represent FPL's customer base. Fifty-six existing, all electric, occupied Florida homes were instrumented to collect one-minute data on most all energy end-uses in advance of energy-efficiency retrofits. Baseline measurements enabled the development of end-use profiles for the utility's service territory. The sample then served as a testbed to evaluate and quantify energy and peak demand reductions from a variety of packaged retrofits ('shallow' and 'deep') and individual emerging technologies. Many of the measures produced impressive energy-use savings for homeowners and reduced demand during utility-coincident peak summer and winter hours. This paper presents details on the recruitment, monitoring equipment, statistical evaluation, and the innovative data platform used to collect and manage millions of data points. Using lessons learned from the Florida study, a similar project is in the planning stages for California. In addition to efficiency retrofits, the California study aims to evaluate advanced meter infrastructure (AMI) data disaggregation schemes, solar electric output by tilt, orientation and location, influence of electric vehicle charging, and distributed electrical storage.

Date Published

8-10-2017

Identifiers

67

Notes

This article or paper was published 2017 International Energy Program Evaluation Conference, Baltimore, MD.

Subjects

Energy consumption; Dwellings--Energy conservation; Electric utilities; Energy conservation; Automatic data collection systems

Local Subjects

Buildings - Energy Analysis; Buildings - Energy Efficiency; Monitoring; Buildings - Peak Demand

Type

Text; Document

Collection

FSEC Energy Research Center® Collection

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Rights Statement

In Copyright