Analysis of water heater standby energy consumption from ELCAP homes

Pratt, Rob; Ross, B.A.; Sandusky, W.F.

doi:10.1016/0378-7788(93)90030-x

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…This number is very close compared to other studies. For example, Pratt et.al [15] and [17] assumed that heat losses from the hot water storage cylinder would be around 24% . In terms of the distribution system, heat losses were about 8% in this study.…”

Section: Discussionmentioning

confidence: 99%

“…However, the biggest disadvantage is cost: electricity is relatively more expensive compared to natural gas. Pratt et.al [15] estimated that the average standby load of electric hot water tanks was about 1200 kWh/yr accounting for 24% of the total energy consumption for hot water production. Armstrong et.al [16] found that de-stratifying a system to sterilise the bacteria led to a 19% reduction in the effective hot water storage capability.…”

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confidence: 99%

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Development of a dynamic analytical model for estimating waste heat from domestic hot water systems

Marini

Buswell

Hopfe

2021

Energy and Buildings

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Development of a dynamic analytical model for estimating waste heat from domestic hot water systems

Marini

Buswell

Hopfe

2021

Energy and Buildings

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Refrigerator energy use in the laboratory and in the field

Meier

1995

Energy and Buildings

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Residential energy resource models for distribution feeder simulation

Guttromson

Chassin

Widergren

2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491)

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Advances in information technology, ubiquitous communications, and distributed generation and storage reveal new opportunities for the participation of demand-side resources in balancing the physical and economic operation of electric power systems. To better understand the potential impact of this participation, accurate, detailed energy resource models are necessary at the distribution feeder level. This presentation describes a detailed approach to residential energy resource modeling that preserves the individual characteristics of major residential appliances and human behavior patterns so that their contribution to energy efficiency schemes and intelligent demand curtailment algorithms is properly portrayed. These models are derived from previous analyses of residential and commercial building systems supported by data collected from the End-Use Load and Consumer Assessment Program (ELCAP) undertaken by the Bonneville Power Administration from 1983 to 1990. Preliminary results of using these models in distribution system simulations indicate that non-obvious, complex behavior patterns can emerge when consumers are confronted with varying price signals.

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Analysis of water heater standby energy consumption from ELCAP homes

Cited by 4 publications

References 3 publications

Development of a dynamic analytical model for estimating waste heat from domestic hot water systems

Development of a dynamic analytical model for estimating waste heat from domestic hot water systems

Refrigerator energy use in the laboratory and in the field

Residential energy resource models for distribution feeder simulation

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