Power storage modeling for renewable energy systems

John Maurice Betts, Heshan Danushka Kumarage

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

Renewable energy production is increasing, and the cost of power storage is decreasing, enabling users to exercise control over their power consumption from the electricity grid. To achieve partial or complete energy independence, consumers need to be able to calculate the energy storage required to cover periods when renewable power is not being produced. To address this need, a model is introduced which determines energy storage characteristics from a single simulation of an energy production system. From this model, the optimal storage size necessary for a required level of grid-independence can be calculated quickly, to a high degree of accuracy. By using existing data, no user estimation of demand parameters is required, making this model accessible to non-specialists. The optimal battery size for a domestic photovoltaic - battery system under varying demand and production scenarios is analysed and the accuracy and computational performance of the model assessed.
Original languageEnglish
Title of host publicationWSC'18 - Proceedings of the 2018 Winter Simulation Conference
Subtitle of host publicationSimulation for a Noble Cause
EditorsMarkus Rabe, Angel A. Juan, Navonil Mustafee, Anders Skoogh, S. Jain, B. Johansson
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Pages2399-2410
Number of pages12
DOIs
Publication statusPublished - 2018
EventWinter Simulation Conference 2018 - Gothenburg, Sweden
Duration: 9 Dec 201812 Feb 2019
http://meetings2.informs.org/wordpress/wsc2018/

Conference

ConferenceWinter Simulation Conference 2018
Abbreviated titleWSC 2018
CountrySweden
CityGothenburg
Period9/12/1812/02/19
Internet address

Cite this

Betts, J. M., & Kumarage, H. D. (2018). Power storage modeling for renewable energy systems. In M. Rabe, A. A. Juan, N. Mustafee, A. Skoogh, S. Jain, & B. Johansson (Eds.), WSC'18 - Proceedings of the 2018 Winter Simulation Conference: Simulation for a Noble Cause (pp. 2399-2410). New York NY USA: Association for Computing Machinery (ACM). https://doi.org/10.1109/WSC.2018.8632279
Betts, John Maurice ; Kumarage, Heshan Danushka. / Power storage modeling for renewable energy systems. WSC'18 - Proceedings of the 2018 Winter Simulation Conference: Simulation for a Noble Cause. editor / Markus Rabe ; Angel A. Juan ; Navonil Mustafee ; Anders Skoogh ; S. Jain ; B. Johansson. New York NY USA : Association for Computing Machinery (ACM), 2018. pp. 2399-2410
@inproceedings{aaeb60b70c544ac68a2fb879bd8034a5,
title = "Power storage modeling for renewable energy systems",
abstract = "Renewable energy production is increasing, and the cost of power storage is decreasing, enabling users to exercise control over their power consumption from the electricity grid. To achieve partial or complete energy independence, consumers need to be able to calculate the energy storage required to cover periods when renewable power is not being produced. To address this need, a model is introduced which determines energy storage characteristics from a single simulation of an energy production system. From this model, the optimal storage size necessary for a required level of grid-independence can be calculated quickly, to a high degree of accuracy. By using existing data, no user estimation of demand parameters is required, making this model accessible to non-specialists. The optimal battery size for a domestic photovoltaic - battery system under varying demand and production scenarios is analysed and the accuracy and computational performance of the model assessed.",
author = "Betts, {John Maurice} and Kumarage, {Heshan Danushka}",
year = "2018",
doi = "10.1109/WSC.2018.8632279",
language = "English",
pages = "2399--2410",
editor = "Rabe, {Markus } and {A. Juan}, {Angel } and Mustafee, {Navonil } and Skoogh, {Anders } and Jain, {S. } and B. Johansson",
booktitle = "WSC'18 - Proceedings of the 2018 Winter Simulation Conference",
publisher = "Association for Computing Machinery (ACM)",
address = "United States of America",

}

Betts, JM & Kumarage, HD 2018, Power storage modeling for renewable energy systems. in M Rabe, A A. Juan, N Mustafee, A Skoogh, S Jain & B Johansson (eds), WSC'18 - Proceedings of the 2018 Winter Simulation Conference: Simulation for a Noble Cause. Association for Computing Machinery (ACM), New York NY USA, pp. 2399-2410, Winter Simulation Conference 2018, Gothenburg, Sweden, 9/12/18. https://doi.org/10.1109/WSC.2018.8632279

Power storage modeling for renewable energy systems. / Betts, John Maurice; Kumarage, Heshan Danushka.

WSC'18 - Proceedings of the 2018 Winter Simulation Conference: Simulation for a Noble Cause. ed. / Markus Rabe; Angel A. Juan; Navonil Mustafee; Anders Skoogh; S. Jain; B. Johansson. New York NY USA : Association for Computing Machinery (ACM), 2018. p. 2399-2410.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

TY - GEN

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PY - 2018

Y1 - 2018

N2 - Renewable energy production is increasing, and the cost of power storage is decreasing, enabling users to exercise control over their power consumption from the electricity grid. To achieve partial or complete energy independence, consumers need to be able to calculate the energy storage required to cover periods when renewable power is not being produced. To address this need, a model is introduced which determines energy storage characteristics from a single simulation of an energy production system. From this model, the optimal storage size necessary for a required level of grid-independence can be calculated quickly, to a high degree of accuracy. By using existing data, no user estimation of demand parameters is required, making this model accessible to non-specialists. The optimal battery size for a domestic photovoltaic - battery system under varying demand and production scenarios is analysed and the accuracy and computational performance of the model assessed.

AB - Renewable energy production is increasing, and the cost of power storage is decreasing, enabling users to exercise control over their power consumption from the electricity grid. To achieve partial or complete energy independence, consumers need to be able to calculate the energy storage required to cover periods when renewable power is not being produced. To address this need, a model is introduced which determines energy storage characteristics from a single simulation of an energy production system. From this model, the optimal storage size necessary for a required level of grid-independence can be calculated quickly, to a high degree of accuracy. By using existing data, no user estimation of demand parameters is required, making this model accessible to non-specialists. The optimal battery size for a domestic photovoltaic - battery system under varying demand and production scenarios is analysed and the accuracy and computational performance of the model assessed.

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DO - 10.1109/WSC.2018.8632279

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A2 - Rabe, Markus

A2 - A. Juan, Angel

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Betts JM, Kumarage HD. Power storage modeling for renewable energy systems. In Rabe M, A. Juan A, Mustafee N, Skoogh A, Jain S, Johansson B, editors, WSC'18 - Proceedings of the 2018 Winter Simulation Conference: Simulation for a Noble Cause. New York NY USA: Association for Computing Machinery (ACM). 2018. p. 2399-2410 https://doi.org/10.1109/WSC.2018.8632279