Operational optimization of wind energy based hydrogen storage system considering electricity market's influence

Peng Hou; Weihao Hu; Zhe Chen; Peter Enevoldsen

doi:10.1109/APPEEC.2016.7779548

Operational optimization of wind energy based hydrogen storage system considering electricity market's influence

Peng Hou, Weihao Hu, Zhe Chen, Peter Enevoldsen

AAU Energy

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

3 Citations (Scopus)

Abstract

In response to electricity markets dominated by wind energy production, and thereby varying electricity prices, this research aims at examining intensives for investments in integrated renewable energy power systems. To do so, strategies have been presented and discussed using optimization methodologies for a power system consisting of wind turbines, electrolysers, and fuel cells. Consequently, intensives for investments in such power systems are introduced by optimizing the return on economic investments of wind farms in markets with great daily variations in electricity prices. The findings presented in this research can help inform researchers, policy makers, and the energy industry in the transition towards implementation of renewable energy systems.

Original language	English
Title of host publication	Proceedings of IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference
Number of pages	6
Volume	2016-December
Publisher	IEEE Computer Society Press
Publication date	Oct 2016
Pages	466-471
Article number	7779548
ISBN (Electronic)	978-1-5090-5418-3
DOIs	https://doi.org/10.1109/APPEEC.2016.7779548
Publication status	Published - Oct 2016
Event	2016 IEEE PES Asia Pacific Power and Energy Engineering Conference, APPEEC 2016 - Empark Grand Hotel Shaanxi Xi’an, Xi'an, China Duration: 25 Oct 2016 → 28 Oct 2016 Conference number: 8th http://www.ieee-appeec2016.org/

Conference

Conference	2016 IEEE PES Asia Pacific Power and Energy Engineering Conference, APPEEC 2016
Number	8th
Location	Empark Grand Hotel Shaanxi Xi’an
Country/Territory	China
City	Xi'an
Period	25/10/2016 → 28/10/2016
Sponsor	Beijing Sifang Automation Co. Ltd., China Society for Electrical Engineering, IEEE Power and Energy Society, Shaanxi Association for Science and Technology, State Grid Key Laboratory of Electric Power Environmental Protection, State Grid Shaanxi Electric Power Company
Internet address	http://www.ieee-appeec2016.org/

Keywords

Hydrogen
Optimization
Renewable Energy System
Wind Power

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10.1109/APPEEC.2016.7779548

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Hou, P., Hu, W., Chen, Z., & Enevoldsen, P. (2016). Operational optimization of wind energy based hydrogen storage system considering electricity market's influence. In Proceedings of IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference (Vol. 2016-December, pp. 466-471). Article 7779548 IEEE Computer Society Press. https://doi.org/10.1109/APPEEC.2016.7779548

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title = "Operational optimization of wind energy based hydrogen storage system considering electricity market's influence",

abstract = "In response to electricity markets dominated by wind energy production, and thereby varying electricity prices, this research aims at examining intensives for investments in integrated renewable energy power systems. To do so, strategies have been presented and discussed using optimization methodologies for a power system consisting of wind turbines, electrolysers, and fuel cells. Consequently, intensives for investments in such power systems are introduced by optimizing the return on economic investments of wind farms in markets with great daily variations in electricity prices. The findings presented in this research can help inform researchers, policy makers, and the energy industry in the transition towards implementation of renewable energy systems.",

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note = "2016 IEEE PES Asia Pacific Power and Energy Engineering Conference, APPEEC 2016, APPEEC 2016 ; Conference date: 25-10-2016 Through 28-10-2016",

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Hou, P, Hu, W, Chen, Z & Enevoldsen, P 2016, Operational optimization of wind energy based hydrogen storage system considering electricity market's influence. in Proceedings of IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference. vol. 2016-December, 7779548, IEEE Computer Society Press, pp. 466-471, 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference, APPEEC 2016, Xi'an, China, 25/10/2016. https://doi.org/10.1109/APPEEC.2016.7779548

Operational optimization of wind energy based hydrogen storage system considering electricity market's influence. / Hou, Peng; Hu, Weihao; Chen, Zhe et al.
Proceedings of IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference. Vol. 2016-December IEEE Computer Society Press, 2016. p. 466-471 7779548.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Operational optimization of wind energy based hydrogen storage system considering electricity market's influence

AU - Hou, Peng

AU - Hu, Weihao

AU - Chen, Zhe

AU - Enevoldsen, Peter

N1 - Conference code: 8th

PY - 2016/10

Y1 - 2016/10

N2 - In response to electricity markets dominated by wind energy production, and thereby varying electricity prices, this research aims at examining intensives for investments in integrated renewable energy power systems. To do so, strategies have been presented and discussed using optimization methodologies for a power system consisting of wind turbines, electrolysers, and fuel cells. Consequently, intensives for investments in such power systems are introduced by optimizing the return on economic investments of wind farms in markets with great daily variations in electricity prices. The findings presented in this research can help inform researchers, policy makers, and the energy industry in the transition towards implementation of renewable energy systems.

AB - In response to electricity markets dominated by wind energy production, and thereby varying electricity prices, this research aims at examining intensives for investments in integrated renewable energy power systems. To do so, strategies have been presented and discussed using optimization methodologies for a power system consisting of wind turbines, electrolysers, and fuel cells. Consequently, intensives for investments in such power systems are introduced by optimizing the return on economic investments of wind farms in markets with great daily variations in electricity prices. The findings presented in this research can help inform researchers, policy makers, and the energy industry in the transition towards implementation of renewable energy systems.

KW - Hydrogen

KW - Optimization

KW - Renewable Energy System

KW - Wind Power

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U2 - 10.1109/APPEEC.2016.7779548

DO - 10.1109/APPEEC.2016.7779548

M3 - Article in proceeding

AN - SCOPUS:85009955982

VL - 2016-December

SP - 466

EP - 471

BT - Proceedings of IEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference

PB - IEEE Computer Society Press

T2 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference, APPEEC 2016

Y2 - 25 October 2016 through 28 October 2016

ER -

Operational optimization of wind energy based hydrogen storage system considering electricity market's influence

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