Abstract
Residential building codes and voluntary labeling programs are continually increasing the energy efficiency requirements of residential buildings. Improving a building's thermal enclosure, installing the ductwork in conditioned space, and improving the building's airtightness results in significant reductions in externally-driven sensible and latent cooling loads. As a building's efficiency is improved, occupant-related internal gains become a larger portion of the building sensible and latent loads. Additionally, internal gains are highly uncertain compared to other load components. In this study, we use a stochastic approach to simulate occupant-related internal gains and compare the internal gains to other sensible and latent heat sources in four house efficiency levels in 10 U.S. climates using whole-building energy simulation software. We compare the expected range in occupant-related internal gains to other building characteristics such as cooling set point, air infiltration rate, and mechanical ventilation rate. We show that in high-efficiency homes, sensible internal gains vary from less than 10% to greater than 40% of the building sensible load under peak total cooling conditions depending on climate and internal gain profile. Likewise, latent internal gains vary from less than 10% to more than 60% of the building latent load under peak total cooling and peak dehumidification conditions depending on climate and internal gain profile.
Original language | American English |
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Pages (from-to) | 122-140 |
Number of pages | 19 |
Journal | Energy and Buildings |
Volume | 184 |
DOIs | |
State | Published - 2019 |
Bibliographical note
Publisher Copyright:© 2018 Elsevier B.V.
NREL Publication Number
- NREL/JA-5500-71335
Keywords
- Building energy modeling
- Cooling loads
- Effective moisture penetration depth
- Humidity
- Indoor humidity
- Low-load
- Moisture
- Moisture buffering
- Residential