Description |
1 online resource (16 pages) : color illustrations. |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
Series |
NREL/CP ; 6A20-77888 |
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Conference paper (National Renewable Energy Laboratory (U.S.)) ; 6A20-77888.
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Note |
"October 2020." |
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"Presented at the 2020 ACEEE Summer Study on Energy Efficiency in Buildings, August 17-21, 2020"--Cover. |
Bibliography |
Includes bibliographical references (pages 15-16). |
Type Of Report |
Conference paper. |
Funding |
Sponsored by National Renewable Energy Laboratory DE-AC36-08GO28308 |
Note |
Description based on online resource; title from PDF title page (NREL, viewed on Feb. 15, 2023). |
Summary |
This paper summarizes efforts to develop new-and enhance existing-analytical frameworks and metrics to quantify the value that grid-interactive efficient homes with solar (GEB-solar homes) can provide. Industry is working to characterize and understand these capabilities and benefits, but existing analytical frameworks for evaluating energy efficiency (EE) are often siloed from those that evaluate distributed energy resources (DERs). Five metrics were adapted from an extensive literature review and applied to case studies of a modeled home in Riverside, California: ramp up/down, cover factor demand/supply, and curtailable load. Eight different technology scenarios were analyzed using a more tightly connected suite of building-to-grid models (BEopt, REopt, ReEDS, and PLEXOS). Additionally, an initial version of the Cambium tool was developed, characterizing the marginal prices and emissions from NREL's 2018 Standard Scenarios. These grid costs were extended to a time-varying proxy retail rate and applied as part of a new grid alignment metric. In the results, a more integrated combination of GEB-solar technologies led to a higher cover factor demand-the percentage of gross home load covered by on-site solar-however, a benchmark was required to determine what range of cover factor was "best" for given grid conditions. To that end, a grid alignment cost metric was applied to the case study scenarios. The average cost to serve the net load of the home decreased from a median of ~$0.24/kWh to ~$0.10/kWh when the most integrated technology scenario was optimized towards the grid pricing proxy versus the time-of-use (TOU) rate. |
Subject |
ACEEE Summer Study on Energy Efficiency in Buildings.
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Energy consumption -- United States.
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Solar energy -- United States.
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Solar houses -- United States.
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Énergie -- Consommation -- États-Unis.
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Énergie solaire -- États-Unis.
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Energy consumption
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Solar energy
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Solar houses
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United States https://id.oclc.org/worldcat/entity/E39PBJtxgQXMWqmjMjjwXRHgrq
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Indexed Term |
analytical frameworks |
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buildings |
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GEB |
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grid-interactive efficient |
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single-family residential buildings |
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solar |
Added Author |
National Renewable Energy Laboratory (U.S.), issuing body.
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Standard No. |
1710148 OSTI ID |
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0000-0003-4354-0499 |
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0000-0003-3336-2879 |
Gpo Item No. |
0430-P-04 (online) |
Sudoc No. |
E 9.17:NREL/CP-6A20-77888 |
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