Development and Validation of Algorithms That Analyze Communicating Thermostat Data to Identify Enclosure Retrofit Opportunities: U.S. Department of Energy (DOE), Energy Efficiency & Renewable Energy (EERE)

Michael Zeifman; Kurt Roth; Lena Burkett

Development and Validation of Algorithms That Analyze Communicating Thermostat Data to Identify Enclosure Retrofit Opportunities: U.S. Department of Energy (DOE), Energy Efficiency & Renewable Energy (EERE)

Michael Zeifman, Kurt Roth, Lena Burkett (NREL Technical Monitor)

Building Technologies and Science Center

Fraunhofer Center for Sustainable Energy Systems CSE

Research output: NREL › Technical Report

Abstract

This report explores ways to automatically identify residential homes with enclosure retrofit opportunities; estimate prospective savings; and perform evaluation, measurement, and verification using interval data from communicating thermostats.

Original language	American English
Number of pages	62
State	Published - 2022

Bibliographical note

Work performed by Fraunhofer USA Center for Manufacturing Innovation CMI, Brookline, Massachusetts

NREL Publication Number

NREL/TP-5500-83341

Other Report Number

DOE/GO-102022-5750

Keywords

algorithms
Building America
buildings
communicating thermostat
envelope
retrofit

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

https://www.nrel.gov/docs/fy22osti/83341.pdf

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abstract = "This report explores ways to automatically identify residential homes with enclosure retrofit opportunities; estimate prospective savings; and perform evaluation, measurement, and verification using interval data from communicating thermostats.",

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