Simulating a Nationally Representative Housing Sample Using EnergyPlus

Hopkins, Asa; Lekov, Alex; Lutz, James D.; Rosenquist, Greg; Gu, Lixing

doi:10.2172/1012239

Cited by 9 publications

(8 citation statements)

References 2 publications

(3 reference statements)

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“…Each IDF file was then edited to correctly size heating and cooling equipment for each vintage and location based on knowledge of commonly available incremental air-conditioner and furnace capacities (i.e., in increments of 1.75 or 3.5 kW) and typical manufacturer-recommended airflow rates. This typically involved correctly sizing heating and cooling systems relative to the load in existing and new vintages and under-sizing heating and cooling systems in older vintage homes, which served to reflect more realistic operation than what was originally assumed in BEopt (Hopkins et al 2011). Any deficits in capacity were assumed to either lead to thermal discomfort or be supplemented by window airconditioning units or space heaters (without additional filtration), as would be somewhat common for older homes.…”

Section: Initial Beopt and Energyplus Simulationsmentioning

confidence: 99%

Modeling the impact of residential HVAC filtration on indoor particles of outdoor origin (RP-1691)

Azimi

Zhao

Stephens

2016

Science and Technology for the Built Environment

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Much of human exposure to airborne particles of outdoor origin, including fine particles smaller than 2.5 μm (PM 2.5 ) and ultrafine particles smaller than 0.1 μm (UFPs), occurs in residences. High-efficiency central HVAC filters are increasingly being used in residences, but questions remain about their effectiveness in reducing indoor PM 2.5 and UFPs of outdoor origin in homes operating under realistic conditions (e.g., with HVAC systems operating only to meet heating or cooling demands). Here dynamic building energy and indoor air mass balance modeling are combined to estimate the impacts of 11 HVAC filters (minimum efficiency reporting value [MERV] 5 through high-efficiency particulate air [HEPA]) on indoor concentrations of PM 2.5 and UFPs of outdoor origin in multiple vintages of prototypical single-family residences relying on either infiltration or mechanical ventilation systems in 22 U.S. cities. Results demonstrate that higher-efficiency HVAC filters can meaningfully reduce indoor proportions of outdoor PM 2.5 and UFPs inside residences, but home vintage, climate zone, and ventilation strategy strongly influence the outcomes due to widely varying air exchange rates, HVAC system runtimes, and sources of ventilation air. Higher efficiency filters had a greater impact in older, leakier homes relying on infiltration alone and in new homes relying on supply-only mechanical ventilation systems designed to meet ASHRAE Standard 62.2.

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Section: Initial Beopt and Energyplus Simulationsmentioning

confidence: 99%

Modeling the impact of residential HVAC filtration on indoor particles of outdoor origin (RP-1691)

Azimi

Zhao

Stephens

2016

Science and Technology for the Built Environment

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“…A review of methods to simulate building energy demand is provided by Swan and Ugursal (2009) and Kavgic et al (2010). Bottom-up analyses use building simulation tools that include the hourly heating and cooling requirements for individual buildings using historical weather data (Hopkins et al 2011;Polly et al 2011;Hendron and Engebrecht 2010). These studies often aggregate a large number of buildings and have the ability to provide estimates of cooling demand over large regions.…”

Section: Traditional Methods For Estimating Hourly Cooling Demandsmentioning

confidence: 99%

Using Utility Load Data to Estimate Demand for Space Cooling and Potential for Shiftable Loads

Denholm¹,

Ong²,

Booten³

2012

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NOTICEThis report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States government or any agency thereof.

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“…It includes many innovative simulation capabilities, including, but not limited to, time-steps less than an hour, modular systems and plants with integrated heat balance-based zone simulation, multi-zone air flow, thermal comfort, water use, natural ventilation, and renewable energy systems. EnergyPlus has been widely used by a lot of researchers [38][39][40][41][42][43][44][45][46]. Each version of EnergyPlus is tested extensively before release [37].…”

Section: Energyplus Overviewmentioning

confidence: 99%

Building envelope with a new aerogel-based insulating rendering: Experimental and numerical study, cost analysis, and thickness optimization

et al. 2015

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Simulating a Nationally Representative Housing Sample Using EnergyPlus

Cited by 9 publications

References 2 publications

Modeling the impact of residential HVAC filtration on indoor particles of outdoor origin (RP-1691)

Modeling the impact of residential HVAC filtration on indoor particles of outdoor origin (RP-1691)

Using Utility Load Data to Estimate Demand for Space Cooling and Potential for Shiftable Loads

Building envelope with a new aerogel-based insulating rendering: Experimental and numerical study, cost analysis, and thickness optimization

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