Energy use of set-top boxes and telephony products in the U.S.

Rosen, Karen; Meier, Alan; Zandelin, Stephan

doi:10.2172/785229

Cited by 11 publications

(8 citation statements)

References 2 publications

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“…For example, Lutzenhiser (1993) notes that even in energy consumption studies that use nearly identical units, electricity usage can vary as much as 200-300% but did not differentiate among appliances. Other appliance studies include the research by Wood and Newborough (2003), who focused mainly on cooking appliances, Coleman et al (2012), Meier (1999, 2000), and Rosen et al (2001), who focused on entertainment appliances, and Isaacs et al (2010), who studied space heating. In contrast, our study includes a broad set of appliances and end uses that are found in most homes.…”

Section: Related Workmentioning

confidence: 99%

What can we learn from high-frequency appliance-level energy metering? Results from a field experiment

Chen¹,

Delmas²,

Kaiser³

et al. 2015

Energy Policy

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Hourly electricity usage was collected from 124 comparable apartments for 24 months. Households overestimate lighting use by 75% and underestimate HVAC usage by 29%. Households using the same appliances show substantial variations in electricity use. Plug load accounts for the largest share of electricity use at all hours of the day. Savings of 11% were achieved by replacing old refrigerators. a r t i c l e i n f o b s t r a c tThis study uses high-frequency appliance-level electricity consumption data for 124 apartments over 24 months to provide a better understanding of appliance-level electricity consumption behavior. We conduct our analysis in a standardized set of apartments with similar appliances, which allows us to identify behavioral differences in electricity use. The Results show that households' estimations of appliance-level consumption are inaccurate and that they overestimate lighting use by 75% and underestimate plug-load use by 29%. We find that similar households using the same major appliances exhibit substantial variation in appliance-level electricity consumption. For example, households in the 75th percentile of HVAC usage use over four times as much electricity as a user in the 25th percentile. Additionally, we show that behavior accounts for 25-58% of this variation. Lastly, we find that replacing the existing refrigerator with a more energy-efficient model leads to overall energy savings of approximately 11%. This is equivalent to results from behavioral interventions targeting all appliances but might not be as cost effective. Our findings have important implications for behavior-based energy conservation policies.

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Section: Related Workmentioning

confidence: 99%

What can we learn from high-frequency appliance-level energy metering? Results from a field experiment

Chen¹,

Delmas²,

Kaiser³

et al. 2015

Energy Policy

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“…The UEC for telephony equipment reflects four power-consuming modes: active, charge (empty battery), charge (full battery), and standby. BAU power consumption is measured data taken from Rosen et al (2001) and measured data by FSEC, LBNL, and UC Berkeley (Webber 2003). The ENERGY STAR standby power consumption is set to the maximum allowable consumption.…”

Section: Consumer Electronicsmentioning

confidence: 99%

Calendar Year 2008 Program Benefits for ENERGY STAR Labeled Products

Homan¹

2010

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Notes to Table 1: 1) Audio includes CDs, mini-systems, audio separates, and home theater in a box. 2) CAC =central air conditioning, ASHP = air source heat pump, HP = heat pump, DVD = digital versatile disc, CFL = compact fluorescent lamp, HVAC = heating ventilation and air conditioning, VCR=video cassette recorder. 3) Specification revisions that resulted in program suspension are indicated with an "*". The Set-top box specification was suspended in 2004 and then re-launched in 2009. 4) Buildings and Industrial Plants, New Homes, and Home Performance programs are administered by EPA but are not included due to a different program benefits methodology. 5) Changes to ENERGY STAR buildings and industrial plants reflect building types or manufacturing sectors added to the program. 6) Insulation specification revised in 2002 and insulation incorporated into Home Performance with ENERGY STAR.

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“…The UEC for these devices are not calculated from time and energy in operational mode, but are treated as having a given UEC in 2002-2008. The UEC estimate is from Rosen et al (2001). The proportion of units with external power supplies is set to 100%.…”

Section: Answering Machine and Cordless And Combination Phonementioning

confidence: 99%

“…The UEC reflects four power-consuming modes: active, charge (empty battery), charge (full battery), and standby. REF power consumption is measured data taken from Rosen et al 2001 and measured data by FSEC, LBNL, and UC Berkeley (Webber 2003). The Energy Star standby power consumption is set to the maximum allowable consumption.…”

Section: Energy Star Performance Criteriamentioning

confidence: 99%

Calendar Year 2007 Program Benefits for U.S. EPA Energy Star Labeled Products: Expanded Methodology

Sanchez¹

2009

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Energy use of set-top boxes and telephony products in the U.S.

Cited by 11 publications

References 2 publications

What can we learn from high-frequency appliance-level energy metering? Results from a field experiment

What can we learn from high-frequency appliance-level energy metering? Results from a field experiment

Calendar Year 2008 Program Benefits for ENERGY STAR Labeled Products

Calendar Year 2007 Program Benefits for U.S. EPA Energy Star Labeled Products: Expanded Methodology

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