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Title: Development of an Outdoor Temperature-Based Control Algorithm for Residential Mechanical Ventilation Control

Abstract

Smart ventilation systems use controls to ventilate more during those periods that provide either an energy or IAQ advantage (or both) and less during periods that provide a dis advantage. Using detailed building simulations, this study addresses one of the simplest and lowest cost types of smart controllers —outdoor temperature- based control. If the outdoor temperature falls below a certain cut- off, the fan is simply turned off. T he main principle of smart ventilation used in this study is to shift ventilation from time periods with large indoor -outdoor temperature differences, to periods where these differences are smaller, and their energy impacts are expected to be less. Energy and IAQ performance are assessed relative to a base case of a continuously operated ventilation fan sized to comply with ASHRAE 62.2-2013 whole house ventilation requirements. In order to satisfy 62.2-2013, annual pollutant exposure must be equivalent between the temperature controlled and continuous fan cases. This requires ventilation to be greater than 62.2 requirements when the ventilation system operates. This is achieved by increasing the mechanical ventilation system air flow rates.

Authors:
 [1];  [1];  [1]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). Environmental Energy Technologies Division.
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1171351
Report Number(s):
LBNL-6936E
DOE Contract Number:  
AC02-05CH11231
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 99 GENERAL AND MISCELLANEOUS

Citation Formats

Less, Brennan, Walker, Iain, and Tang, Yihuan. Development of an Outdoor Temperature-Based Control Algorithm for Residential Mechanical Ventilation Control. United States: N. p., 2014. Web. doi:10.2172/1171351.
Less, Brennan, Walker, Iain, & Tang, Yihuan. Development of an Outdoor Temperature-Based Control Algorithm for Residential Mechanical Ventilation Control. United States. https://doi.org/10.2172/1171351
Less, Brennan, Walker, Iain, and Tang, Yihuan. 2014. "Development of an Outdoor Temperature-Based Control Algorithm for Residential Mechanical Ventilation Control". United States. https://doi.org/10.2172/1171351. https://www.osti.gov/servlets/purl/1171351.
@article{osti_1171351,
title = {Development of an Outdoor Temperature-Based Control Algorithm for Residential Mechanical Ventilation Control},
author = {Less, Brennan and Walker, Iain and Tang, Yihuan},
abstractNote = {Smart ventilation systems use controls to ventilate more during those periods that provide either an energy or IAQ advantage (or both) and less during periods that provide a dis advantage. Using detailed building simulations, this study addresses one of the simplest and lowest cost types of smart controllers —outdoor temperature- based control. If the outdoor temperature falls below a certain cut- off, the fan is simply turned off. T he main principle of smart ventilation used in this study is to shift ventilation from time periods with large indoor -outdoor temperature differences, to periods where these differences are smaller, and their energy impacts are expected to be less. Energy and IAQ performance are assessed relative to a base case of a continuously operated ventilation fan sized to comply with ASHRAE 62.2-2013 whole house ventilation requirements. In order to satisfy 62.2-2013, annual pollutant exposure must be equivalent between the temperature controlled and continuous fan cases. This requires ventilation to be greater than 62.2 requirements when the ventilation system operates. This is achieved by increasing the mechanical ventilation system air flow rates.},
doi = {10.2172/1171351},
url = {https://www.osti.gov/biblio/1171351}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jun 01 00:00:00 EDT 2014},
month = {Sun Jun 01 00:00:00 EDT 2014}
}