Energetic Potential for Demand Response in Detached Single Family Homes in Austin, TX

Bandyopadhyay, Arkasama; Conger, Julia P.; Webber, Michael E.

doi:10.1109/tpec.2019.8662166

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…The EWH is an important component in the achievement of effective home energy management [10,11]. The storage capacity of water heaters is determined by the volume of the water tank, and the the total electricity used by EWHs is determined by the user behavior, i.e., the thermal energy reduction from hot water leaving the tank should be almost equal to the electricity used for heating, given a near 100% insulation.…”

Section: Technology Reviewmentioning

confidence: 99%

Electric Water Heater Modeling for Large-Scale Distribution Power Systems Studies with Energy Storage CTA-2045 Based VPP and CVR

Alden

Gong²,

Rooney³

et al. 2023

Energies

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As the smart grid involves more new technologies such as electric vehicles (EVs) and distributed energy resources (DERs), more attention is needed in research to general energy storage (GES) based energy management systems (EMS) that account for all possible load shifting and control strategies, specifically with major appliances that are projected to continue electrification such as the electric water heater (EWH). In this work, a methodology for a modified single-node model of a resistive EWH is proposed with improved internal tank temperature for user comfort modeling and capabilities for conservation voltage reduction (CVR) simulations as well as Energy Star and Consumer Technology Association communications protocol (CTA-2045) compliant controls, including energy storage calculations for “energy take”. Daily and weekly simulations are performed on a representative IEEE test feeder distribution system with experimental load and hot water draw (HWD) profiles to consider user comfort. Sequential controls are developed to reduce power spikes from controls and lead to peak shavings. It is found that EWHs are suitable for virtual power plant (VPP) operation with sustainable tank temperatures, i.e., average water temperature is maintained at set-point or above at the end of the control period while shifting up to 78% of EWH energy out of shed windows per day and 75% over a week, which amounts to up to 23% of the total load shifted on the example power system. While CVR simulations reduced the peak power of individual EWHs, the aggregation effect at the distribution level negates this reduction in power for the community. The EWH is shown as an energy constant load without consistent benefit from CVR across the example community with low energy reductions of less than 0.1% and, in some cases, increased daily energy by 0.18%.

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Section: Technology Reviewmentioning

confidence: 99%

Electric Water Heater Modeling for Large-Scale Distribution Power Systems Studies with Energy Storage CTA-2045 Based VPP and CVR

Alden

Gong²,

Rooney³

et al. 2023

Energies

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“…Examples of community-level studies of HVAC load control include the work by Gong et al, which presents an aggregation technique used for reducing power peaks in a typical community constructed with reference homes [1]. As another example, Bandyopadhyay et al presented a Kmeans clustering algorithm to shift the peak loads of the HVAC system, electric water heater (EWH), and pool pumps outside of high demand hours [2]. The study completed by Oakridge National Lab in [3] presented an investigation into adaptive controls and Model Free Controls (MFC) to control a community of HVAC systems load demand to follow a daily profile of PV generation.…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence Method for the Forecast and Separation of Total and HVAC Loads With Application to Energy Management of Smart and NZE Homes

et al. 2021

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“…Baniasadi et al presented a real‐time thermal energy management system model for peak load shifting in residential buildings. Bandyopadhyay et al presented a tool for reducing peak load in residential buildings by shifting loads of HVAC systems, electric water heaters, electric vehicles, and pool pumps. Rozali et al performed a study by using power pinch analysis in order to determine peak load shifting for optimum storage sizing.…”

Section: Introductionmentioning

confidence: 99%

Potential use of thermal energy storage for shifting cooling and heating load to off‐peak load: A case study for residential building in Canada

Erdemir

Dinçer

2020

Energy Storage

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This study presents an investigation of the potential use of thermal energy storage for shifting cooling and heating loads to off-peak hours in order to balance the electricity production and demand periods. In Canada, the main energy source for cooling and heating applications is generally electricity. Therefore, cooling and heating devices have a great impact on the electricity peak load. In this study, it is considered that heating and cooling loads on the electricity peak load periods are shifted to off-peak hours by thermal energy storage systems. At the end of this study, it is observed that the thermal energy storage has great potential for shifting electricity peak load depending on cooling and heating load to off-peak periods. The electricity peak loads can be reduced by 25% and 45% by shifting heating and cooling loads to off-peak hours and doing storage. Furthermore, the thermal energy storage systems can help reduce both cooling and heating costs in Canadian dwellings by 20% and 18%, respectively. K E Y W O R D Scooling, cost assessment, heating, thermal energy storage

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Energetic Potential for Demand Response in Detached Single Family Homes in Austin, TX

Cited by 4 publications

References 15 publications

Electric Water Heater Modeling for Large-Scale Distribution Power Systems Studies with Energy Storage CTA-2045 Based VPP and CVR

Electric Water Heater Modeling for Large-Scale Distribution Power Systems Studies with Energy Storage CTA-2045 Based VPP and CVR

Artificial Intelligence Method for the Forecast and Separation of Total and HVAC Loads With Application to Energy Management of Smart and NZE Homes

Potential use of thermal energy storage for shifting cooling and heating load to off‐peak load: A case study for residential building in Canada

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