A customer-interactive electric water heater demand-side management strategy using fuzzy logic

Nehrir, M.H.; LaMeres, Brock J.; Gerez, V.

doi:10.1109/pesw.1999.747494

Cited by 45 publications

(24 citation statements)

References 4 publications

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“…In winter-dominated climates, the DHW loads can contribute as much as 30% of the total household load (Nehrir et al 1999). The DHW load profile and average daily global energy load profile follow a similar pattern, meaning that these loads significantly contribute to peak load values (Nehrir et al 2007).…”

Section: Using Hot Water As Thermal Buffermentioning

confidence: 96%

The role of knowledge about user behaviour in demand response management of domestic hot water usage

Tabatabaei

Klein

2018

Energy Efficiency

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Load balancing is an important topic in smart grid systems. Dynamic pricing is a common approach to achieve a better balance between renewable energy production and energy usage. This assumes that individual households adapt their energy usage patterns based on energy prices. However, the actual behaviour of consumers in a household is an uncertain factor that might influence the effectiveness of pricing strategies. In this paper, we investigate to what extent knowledge about actual user behaviour can contribute to local optimization of energy usage. We use simulations to study whether a smart heating system that applies a preheating strategy for domestic water during periods of low prices can benefit from good predictions of the user behaviour, in financial terms or in terms of energy saving. Also, we use the simulations to investigate the effect of different goal temperatures for the pre-heating strategy. The results show that pre-heating does not make a difference with respect to the energy efficiency, but that during cold months, pre-heating can result in a financial benefit. In addition, we calculate what certainty about the user behaviour is needed to be able to effectively use pre-heating during the warmer summer month. These results can help to design residential energy optimization systems.

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Section: Using Hot Water As Thermal Buffermentioning

confidence: 96%

The role of knowledge about user behaviour in demand response management of domestic hot water usage

Tabatabaei

Klein

2018

Energy Efficiency

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“…Fuzzy logic is used in [23] for load shifting of a domestic hot water cylinder. A neural network is used in [24] for load shifting in a petrochemical plant.…”

Section: Load Shifting With Optimal Control Modelsmentioning

confidence: 99%

A model predictive control strategy for load shifting in a water pumping scheme with maximum demand charges

2011

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SUMMARYThe aim of this research is to affirm the application of closed-loop optimal control for load shifting in plants with electricity tariffs that include time-of-use (TOU) and maximum demand (MD) charges. The water pumping scheme of the Rietvlei water purification plant in the Tshwane municipality (South Africa) is selected for the case study. The objective is to define and simulate a closed-loop load shifting (scheduling) strategy for the Rietvlei plant that yields the maximum potential cost saving under both TOU and MD charges. SLEUTELWOORDEModel voorspellende beheer, las verskuiwing, maksimum aanvraag, optimale beheer.

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“…At this point the excess available power is diverted to the dump load, which in this study is assumed to be an electric water heater. The power absorbed by an electric water heater can be made variable by controlling the voltage applied to the water heater [4], [5]. Batteries will discharge, supplying 0885-8969/00$10.00 © 2000 IEEE power to the load when demand exceeds generation.…”

Section: System Configurationmentioning

confidence: 99%

“…It will use any excess available power to heat the water. The power supplied to this water heater is varied by varying its voltage using an electronic voltage controller [4], [5]. The water heated by this water heater can be used in any way the user wishes.…”

Section: Dump Load Modelmentioning

confidence: 99%

An approach to evaluate the general performance of stand-alone wind/photovoltaic generating systems

Nehrir

LaMeres

Venkataramanan

et al. 2000

IEEE Trans. Energy Conversion

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117

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Abstract-This paper reports the development of a computer approach for evaluating the general performance of stand-alone wind/photovoltaic generating systems. Simple models for different system components are developed, integrated, and used to predict the behavior of generating systems based on available wind/solar and load data. The model is useful for evaluating the performance of stand-alone generating systems and gaining a better insight in the component sizes needed before they are built. Simulation results are presented for performance evaluation of a stand-alone generating system that has been previously designed to supply the average power demand of a typical residential house [1].An electric water heater model is used as a dump load, and the excess available wind/solar-generated power is used to heat the water. The heated water is used as the inlet water to the main house water heater, which is assumed to be nonelectric. It is shown that this strategy can be effective in reducing the amount of fuel used by the main residential water heater.Index Terms-Computer modeling, electric water heater dump load, wind/PV generation.

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A customer-interactive electric water heater demand-side management strategy using fuzzy logic

Cited by 45 publications

References 4 publications

The role of knowledge about user behaviour in demand response management of domestic hot water usage

The role of knowledge about user behaviour in demand response management of domestic hot water usage

A model predictive control strategy for load shifting in a water pumping scheme with maximum demand charges

An approach to evaluate the general performance of stand-alone wind/photovoltaic generating systems

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