Building America Research Benchmark Definition, Updated December 2009

Hendron, Robert; Engebrecht, Cheryn

doi:10.2172/1217895

Cited by 59 publications

(98 citation statements)

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“…For internal loads, there are many studies in literature reporting the energy use density and profile for lighting, appliances and miscellaneous equipment for residential buildings (Chiou 2009;Hendron 2008). This paper follows the work done for Building America benchmark research (Hendron 2008) to set up the internal loads for this apartment building.…”

Section: Pagementioning

confidence: 99%

“…This paper follows the work done for Building America benchmark research (Hendron 2008) to set up the internal loads for this apartment building. Although the Building America benchmark model was developed particularly for single-family houses, the internal load use patterns should be reasonably similar between single-family houses and multi-unit apartment buildings.…”

Section: Pagementioning

confidence: 99%

“…Although the Building America benchmark model was developed particularly for single-family houses, the internal load use patterns should be reasonably similar between single-family houses and multi-unit apartment buildings. Assuming that each apartment unit has two bedrooms, the internal loads for each unit have the following characteristics (DOE 2010b;Hendron 2008 Figure 2. These schedules apply throughout the whole year without further division between weekdays and weekends.…”

Section: Pagementioning

confidence: 99%

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Energy performance comparison of heating and air-conditioning systems for multi-family residential buildings

Wang

Zhang

Jiang³

et al. 2011

HVAC&R Research

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The type of heating, ventilation and air conditioning (HVAC) system has a large impact on the heating and cooling energy consumption in multifamily residential buildings. This paper compares the energy performance of three HVAC systems: a direct expansion (DX) split system, a split air source heat pump (ASHP) system, and a closedloop water source heat pump (WSHP) system with a boiler and an evaporative fluid cooler as the central heating and cooling source. All three systems use gas furnace for heating or heating backup. The comparison is made in a number of scenarios including different climate conditions, system operation schemes and applicable building codes. It is found that with the minimum code-compliant equipment efficiency, ASHP performs the best among all scenarios except in extremely code climates. WSHP tends to perform better than the split DX system in cold climates but worse in hot climates.

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Section: Pagementioning

confidence: 99%

Section: Pagementioning

confidence: 99%

Section: Pagementioning

confidence: 99%

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Energy performance comparison of heating and air-conditioning systems for multi-family residential buildings

Wang

Zhang

Jiang³

et al. 2011

HVAC&R Research

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“…To facilitate evaluation of lighting and appliance changes in EnergyPlus, these daily totals are split into various end uses. This breakdown of appliance loads and corresponding appliance-use schedules (Appendix A, Section A.4) is developed to match, as closely as possible, the Building America research benchmark (Hendron and Engebrecht 2009). The approximate difference between the internal gains specified by the IECC and the sum of lighting and appliances from Building America, an IECC adjustment factor, is added as an additional miscellaneous load component.…”

Section: Internal Gainsmentioning

confidence: 99%

Cost-Effectiveness Analysis of the 2009 and 2012 IECC Residential Provisions ? Technical Support Document

Mendon¹,

Lucas²,

Goel³

2012

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Executive SummaryThis analysis was conducted by Pacific Northwest National Laboratory (PNNL) in support of the U.S. Department of Energy's (DOE) Building Energy Codes Program (BECP). DOE supports the development and adoption of energy efficient and cost-effective residential and commercial building energy codes. These codes set the minimum requirements for energy efficient building design and construction and ensure energy savings on a national level. This analysis focuses on one and two family dwellings, townhomes, and low-rise multifamily residential buildings. For these buildings, the basis of the energy codes is the International Energy Conservation Code (IECC). This report does not address commercial and high-rise residential buildings (four or more stories). This technical support document provides additional detail and documents the specific assumptions used in applying the cost-effectiveness methodology. iv The analysis is conducted using DOE's EnergyPlus simulation software. PNNL developed two prototype building models to represent the single-family and the multifamily buildings defined in the methodology. These two prototypes were then expanded to a suite of 32 energy models to represent four commonly used heating systems in homes (i.e., gas furnace, oil furnace, heat pump, and electric furnace) and four commonly used foundations (i.e., vented crawlspace, slab-on-grade, heated basement, and unheated basement). Different versions of the models are created to match the requirements of the 2006, 2009, and 2012 IECC for each location. The entire set is simulated across 119 locations to represent the different climate-zone and moisture regimes in each state across the country. The annual energy consumption for space heating, cooling, domestic hot water heating, and lighting is extracted for each case. The energy use is converted to energy cost using fuel costs in the different states. Incremental first costs are calculated for each location for the energy provisions of the 2009 and 2012 IECC over the baseline code, as applicable, using the Building Component Cost Community (BC3) data repository. 1 These first costs are adjusted for variation in construction and material costs across the country using location multipliers developed by Faithful+Gould for PNNL. 2 The energy costs and first costs are aggregated based on new housing construction starts from the U.S. Census data 3 , weights of the different foundation types from the Residential Energy Consumption Survey data 4 , and heating system weights based on National Association of Home Builders data (NAHB 2009). Life cycle cost (LCC) analysis is then conducted for each case to assess cost effectiveness. DOE uses LCC as the primary measure of cost effectiveness.

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“…If the efficiency was recorded in EER it was converted to SEER using the following equation from the Building America House Simulation Protocols (Hendron and Engebrecht 2010): EER = -0.02 × SEER 2 + 1.12 × SEER…”

Section: D9 Coolingmentioning

confidence: 99%

Assessment of the U.S. Department of Energy's Home Energy Scoring Tool

Roberts

Merket

Polly

et al. 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. 1 In acknowledging individuals and organizations we do not mean to imply their endorsement of the research results. Our intention is simply to acknowledge their contributions and thank them. iv Executive SummaryThe National Renewable Energy Laboratory (NREL) conducted a series of assessments of the U.S. Department of Energy's (DOE) proposed Home Energy Scoring Tool (HEST). The primary objective of this work was to assess the accuracy of HEST as it was being developed and to provide information useful to DOE program managers and HEST development team at Lawrence Berkeley National Laboratory.NREL assessed the accuracy of HEST from the version used for the Home Energy Score pilot, released January 26, 2011, through the April 27, 2012 release. With the exception of Appendix A, Historical Progression of HEST Accuracy, this report reflects assessment of the April 27, 2012 release of HEST. Comparison of Predicted Energy Uses to Measured Energy UsesPredictions of electricity and natural gas (NG) consumption were compared with weathernormalized utility billing data for a mixture of newer and older homes located in Oregon, Wisconsin, Minnesota, North Carolina, and Texas. 2 The 859 electricity comparisons and 500 NG comparisons yielded the following:• HEST underpredicted electricity use by a median of 1%.• HEST underpredicted NG use by a median of 10%.The primary objective of the Home Energy Score program is to issue a score to the homeowner. The Score ranges from 1 to 10, where a home scoring a 1 uses the most energy and a home scoring a 10 uses the least. For 52% of the homes in this sample, the predicted Home Energy Score is within ±1 point of a score calculated from measured energy use. 3 Comparison of Predicted Energy Uses to Predictions From Other ToolsSimilar comparisons were made between predictions from two other commonly used residential energy analysis software tools, REM/Rate and SIMPLE, and weather-normalized utility billing data for the same set of homes. The results of the comparisons are presented along with those from HEST in Table ES-1 and Table ES-2. HEST energy use predictions compare well with the other two energy analysis software tools....

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Building America Research Benchmark Definition, Updated December 2009

Abstract: Bringing you a prosperous future where energy is clean, abundant, reliable, and affordable

Cited by 59 publications

References 0 publications

Energy performance comparison of heating and air-conditioning systems for multi-family residential buildings

Energy performance comparison of heating and air-conditioning systems for multi-family residential buildings

Cost-Effectiveness Analysis of the 2009 and 2012 IECC Residential Provisions ? Technical Support Document

Assessment of the U.S. Department of Energy's Home Energy Scoring Tool

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