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Indoor Temperature and Humidity Data Collection and Analysis Flipbook PDF
Why do we care about indoor Temp/RH? “Anecdotal evidence from the field and controlled studies have raised concerns abou
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Indoor Temperature and Humidity Data Collection and Analysis
Chuck Booten, NREL Paul Norton, NERD Cheryn Metzger, NREL NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC.
Why do we care about indoor Temp/RH? “Anecdotal evidence from the field and controlled studies have raised concerns about the accuracy of software‐based energy analysis for existing homes. …. Overprediction of energy use and savings by residential energy analysis methods has been observed in previous studies.” 1 Can a better understanding of indoor temperature and humidity help solve this accuracy issue? 1. Polly, B.; Kruis, N.; Roberts, D. (2011). Assessing and Improving the Accuracy of Energy Analysis for Residential Buildings. 41 pp.; NREL Report No. TP‐5500‐50865; DOE/GO‐102011‐3243. http://www.nrel.gov/docs/fy11osti/50865.pdf
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Why do we care about indoor Temp/RH? • Space conditioning can account for about half of home energy use • Indoor temperature has a large effect on energy use • Temperature and humidity affect comfort, health and safety, and durability Influence of various inputs on simulated energy use for a particular house 3
BA House Simulation Protocol
Set point for cooling: 76°F with no setup period Set point for heating: 71°F with no setback period (These were based on based on ASHRAE Standard 55‐2004 and the Residential Energy Consumption Survey (RECS) of 2005)
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Some initial studies raised concerns
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What data is needed?
• Hourly T&RH measurements in the living room and all bedrooms • Outdoor T&RH • Runtime of space conditioning equipment • Ideally one year of data. o
A minimum of two weeks of data near the peak of the heating or cooling season
These measurements are often done with stand‐alone battery powered loggers (such as HOBOs) provided by NREL. NREL may also be able to provide installation assistance.
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Temp and Humidity Measurement Protocol • Who is it for? o
Anyone collecting temp/RH data in houses (utility programs, researchers, etc.)
• What does it do? o
Guides people through a best practice method for gathering useful T/RH data
• Why is standardization needed? o
Statistical analysis for understanding the important drivers of T/RH distribution requires lots of similarly formatted data
• How does data get used? o
Improved simulation models and inputs
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Current Project Scope
• Implement Protocol • We expect to collect data on over 350 homes of different types in a variety of climates • Data collection will continue through 2015. • The BA Home Simulation Protocols will be updated as needed.
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Current Data Distribution
Location New York Florida Oregon Greenbelt, MD Boulder, CO Boulder, CO New Orleans, LA New Orleans, LA Cambridge, MA Devins, MA Fresno, CA Denver, CO TBD TBD All Homes
Number of homes Type of Homes BA Climate Zone 20 single family detached Cold 20 single family detached Hot‐Humid 20 single family detached Marine 10 Apartments Mixed‐Humid 1 single family detached Cold 9 Apartments Cold 8 single family detached Hot‐Humid 2 single family detached Hot‐Humid 11 Apartments Cold 10 single family detached Cold 5 single family detached Hot‐Dry single family detached Cold 5 Anticipated additions for 2014 50 Apartments Hot‐Dry or Hot‐Humid Apartments Cold 20 191 9
Current Data Distribution
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Indoor Temperatures During Heating
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Indoor Temperatures During Cooling
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Temperature distributions within homes
• Within houses variations are +/‐ X deg F on average • Some rooms warmer, some colder
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RH Variability ‐ New Orleans Example
Source: Kerrigan, P., and Norton, P., 2013.Evaluation of the Performance of Houses with and without Supplemental Dehumidification in a Hot‐Humid Climate
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What caused the variability?
Source: Kerrigan, P., and Norton, P., 2013.Evaluation of the Performance of Houses with and without Supplemental Dehumidification in a Hot‐Humid Climate
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Initial Data Trends
• Significant variability in indoor temperature and humidity – we need more data – Project‐to‐project, House‐to‐house, Room‐to‐room, and hour of day.
• Most of the initial data lack space conditioning equipment runtime data – we need more data
• Early data may indicate HSP heating setpoint is too high, but we need more data.
…….Oh, and did we mention….. we need more data!
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More data!
• NREL wants to collaborate • If you have data already, we want to include it in this study • Expand the scope of the existing data… o Older homes o Warmer climates o More single family detached homes
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Further analysis
• Time of day variations (set‐up and set‐back) • House to house and intra‐house variations • Regressions to determine important variables
o o o o o o o
Region/climate Age Size Fuel type Cooling season (previously all heating) Number of floors Foundation type 18
Contact
Chuck Booten [email protected] 303‐275‐3167
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