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Title: Building America Case Study: Residential Mechanical Precooling, Roseville, California

Abstract

Precooling is an operational strategy with potentially no up-front cost that cools occupied spaces earlier in the day to minimize or avoid afternoon air conditioner operation. In its simplest form, precooling can be implemented by scheduling air conditioner operation to reduce thermostat setpoints between 2 degrees and 6 degrees F below typical comfort settings in advance of the on-peak time period.

Authors:
Publication Date:
Research Org.:
Alliance for Residential Building Innovation (ARBI)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Building Technologies Office (EE-5B) (Building America)
OSTI Identifier:
1358062
Report Number(s):
DOE/GO-102017-4572
7660
Country of Publication:
United States
Language:
English
Subject:
residential; residential buildings; ARBI; Building America; space cooling; pre-cooling; peak demand; demand shifting; off-peak; thermal mass

Citation Formats

A. German and M. Hoeschele. Building America Case Study: Residential Mechanical Precooling, Roseville, California. United States: N. p., 2017. Web.
A. German and M. Hoeschele. Building America Case Study: Residential Mechanical Precooling, Roseville, California. United States.
A. German and M. Hoeschele. Mon . "Building America Case Study: Residential Mechanical Precooling, Roseville, California". United States. doi:. https://www.osti.gov/servlets/purl/1358062.
@article{osti_1358062,
title = {Building America Case Study: Residential Mechanical Precooling, Roseville, California},
author = {A. German and M. Hoeschele},
abstractNote = {Precooling is an operational strategy with potentially no up-front cost that cools occupied spaces earlier in the day to minimize or avoid afternoon air conditioner operation. In its simplest form, precooling can be implemented by scheduling air conditioner operation to reduce thermostat setpoints between 2 degrees and 6 degrees F below typical comfort settings in advance of the on-peak time period.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon May 01 00:00:00 EDT 2017},
month = {Mon May 01 00:00:00 EDT 2017}
}