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Distributed energy storage using residential hot water heaters

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Distributed energy storage using residential hot water heaters. / Gelazanskas, Linas; Akurugoda Gamage, Kelum Asanga.

In: Energies, Vol. 9, No. 3, 127, 25.02.2016, p. 1-13.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Gelazanskas, L & Akurugoda Gamage, KA 2016, 'Distributed energy storage using residential hot water heaters', Energies, vol. 9, no. 3, 127, pp. 1-13. https://doi.org/10.3390/en9030127

APA

Vancouver

Author

Gelazanskas, Linas ; Akurugoda Gamage, Kelum Asanga. / Distributed energy storage using residential hot water heaters. In: Energies. 2016 ; Vol. 9, No. 3. pp. 1-13.

Bibtex

@article{d9152c051bd94dc1bf0c947626aeb43e,
title = "Distributed energy storage using residential hot water heaters",
abstract = "This paper proposes and analyses a new demand response technique for renewable energy regulation using smart hot water heaters that forecast water consumption at an individual dwelling level. Distributed thermal energy storage has many advantages, including high overall efficiency, use of existing infrastructure and a distributed nature. In addition, the use of a smart thermostatic controller enables the prediction of required water amounts and keeps temperatures at a level that minimises user discomfort while reacting to variations in the electricity network. Three cases are compared in this paper, normal operation, operation with demand response and operation following the proposed demand response mechanism that uses consumption forecasts. The results show that this technique can produce both up and down regulation, as well as increase water heater efficiency. When controlling water heaters without consumption forecast, the users experience discomfort in the form of hot water shortage, but after the full technique is applied, the shortage level drops to nearly the starting point. The amount of regulation power from a single dwelling is also discussed in this paper.",
keywords = "demand side management (DSM), distributed thermal storage, forecasting, water heater",
author = "Linas Gelazanskas and {Akurugoda Gamage}, {Kelum Asanga}",
note = "c 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).",
year = "2016",
month = feb,
day = "25",
doi = "10.3390/en9030127",
language = "English",
volume = "9",
pages = "1--13",
journal = "Energies",
issn = "1996-1073",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "3",

}

RIS

TY - JOUR

T1 - Distributed energy storage using residential hot water heaters

AU - Gelazanskas, Linas

AU - Akurugoda Gamage, Kelum Asanga

N1 - c 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).

PY - 2016/2/25

Y1 - 2016/2/25

N2 - This paper proposes and analyses a new demand response technique for renewable energy regulation using smart hot water heaters that forecast water consumption at an individual dwelling level. Distributed thermal energy storage has many advantages, including high overall efficiency, use of existing infrastructure and a distributed nature. In addition, the use of a smart thermostatic controller enables the prediction of required water amounts and keeps temperatures at a level that minimises user discomfort while reacting to variations in the electricity network. Three cases are compared in this paper, normal operation, operation with demand response and operation following the proposed demand response mechanism that uses consumption forecasts. The results show that this technique can produce both up and down regulation, as well as increase water heater efficiency. When controlling water heaters without consumption forecast, the users experience discomfort in the form of hot water shortage, but after the full technique is applied, the shortage level drops to nearly the starting point. The amount of regulation power from a single dwelling is also discussed in this paper.

AB - This paper proposes and analyses a new demand response technique for renewable energy regulation using smart hot water heaters that forecast water consumption at an individual dwelling level. Distributed thermal energy storage has many advantages, including high overall efficiency, use of existing infrastructure and a distributed nature. In addition, the use of a smart thermostatic controller enables the prediction of required water amounts and keeps temperatures at a level that minimises user discomfort while reacting to variations in the electricity network. Three cases are compared in this paper, normal operation, operation with demand response and operation following the proposed demand response mechanism that uses consumption forecasts. The results show that this technique can produce both up and down regulation, as well as increase water heater efficiency. When controlling water heaters without consumption forecast, the users experience discomfort in the form of hot water shortage, but after the full technique is applied, the shortage level drops to nearly the starting point. The amount of regulation power from a single dwelling is also discussed in this paper.

KW - demand side management (DSM)

KW - distributed thermal storage

KW - forecasting

KW - water heater

U2 - 10.3390/en9030127

DO - 10.3390/en9030127

M3 - Journal article

VL - 9

SP - 1

EP - 13

JO - Energies

JF - Energies

SN - 1996-1073

IS - 3

M1 - 127

ER -