IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i5p1113-d144125.html
   My bibliography  Save this article

Sizing Hydrogen Energy Storage in Consideration of Demand Response in Highly Renewable Generation Power Systems

Author

Listed:
  • Mubbashir Ali

    (Dept. of Electrical Engineering and Automation, Aalto University, Espoo 02150, Finland)

  • Jussi Ekström

    (Dept. of Electrical Engineering and Automation, Aalto University, Espoo 02150, Finland)

  • Matti Lehtonen

    (Dept. of Electrical Engineering and Automation, Aalto University, Espoo 02150, Finland)

Abstract

From an environment perspective, the increased penetration of wind and solar generation in power systems is remarkable. However, as the intermittent renewable generation briskly grows, electrical grids are experiencing significant discrepancies between supply and demand as a result of limited system flexibility. This paper investigates the optimal sizing and control of the hydrogen energy storage system for increased utilization of renewable generation. Using a Finnish case study, a mathematical model is presented to investigate the optimal storage capacity in a renewable power system. In addition, the impact of demand response for domestic storage space heating in terms of the optimal sizing of energy storage is discussed. Finally, sensitivity analyses are conducted to observe the impact of a small share of controllable baseload production as well as the oversizing of renewable generation in terms of required hydrogen storage size.

Suggested Citation

  • Mubbashir Ali & Jussi Ekström & Matti Lehtonen, 2018. "Sizing Hydrogen Energy Storage in Consideration of Demand Response in Highly Renewable Generation Power Systems," Energies, MDPI, vol. 11(5), pages 1-11, May.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:5:p:1113-:d:144125
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/5/1113/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/11/5/1113/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ekström, Jussi & Koivisto, Matti & Mellin, Ilkka & Millar, John & Saarijärvi, Eero & Haarla, Liisa, 2015. "Assessment of large scale wind power generation with new generation locations without measurement data," Renewable Energy, Elsevier, vol. 83(C), pages 362-374.
    2. Lund, Henrik & Kempton, Willett, 2008. "Integration of renewable energy into the transport and electricity sectors through V2G," Energy Policy, Elsevier, vol. 36(9), pages 3578-3587, September.
    3. Fazeli, Reza & Davidsdottir, Brynhildur & Hallgrimsson, Jonas Hlynur, 2016. "Residential energy demand for space heating in the Nordic countries: Accounting for interfuel substitution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1210-1226.
    4. Guille, Christophe & Gross, George, 2009. "A conceptual framework for the vehicle-to-grid (V2G) implementation," Energy Policy, Elsevier, vol. 37(11), pages 4379-4390, November.
    5. Mubbashir Ali & Jussi Ekström & Matti Lehtonen, 2017. "Assessing the Potential Benefits and Limits of Electric Storage Heaters for Wind Curtailment Mitigation: A Finnish Case Study," Sustainability, MDPI, vol. 9(5), pages 1-15, May.
    6. Bird, Lori & Lew, Debra & Milligan, Michael & Carlini, E. Maria & Estanqueiro, Ana & Flynn, Damian & Gomez-Lazaro, Emilio & Holttinen, Hannele & Menemenlis, Nickie & Orths, Antje & Eriksen, Peter Børr, 2016. "Wind and solar energy curtailment: A review of international experience," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 577-586.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wakui, Tetsuya & Akai, Kazuki & Yokoyama, Ryohei, 2022. "Shrinking and receding horizon approaches for long-term operational planning of energy storage and supply systems," Energy, Elsevier, vol. 239(PD).
    2. Arslan Ahmad Bashir & Andreas Lund & Mahdi Pourakbari-Kasmaei & Matti Lehtonen, 2021. "Optimizing Power and Heat Sector Coupling for the Implementation of Carbon-Free Communities," Energies, MDPI, vol. 14(7), pages 1-20, March.
    3. Arslan Ahmad Bashir & Matti Lehtonen, 2019. "Optimal Coordination of Aggregated Hydro-Storage with Residential Demand Response in Highly Renewable Generation Power System: The Case Study of Finland," Energies, MDPI, vol. 12(6), pages 1-16, March.
    4. Mahdi Takach & Mirza Sarajlić & Dorothee Peters & Michael Kroener & Frank Schuldt & Karsten von Maydell, 2022. "Review of Hydrogen Production Techniques from Water Using Renewable Energy Sources and Its Storage in Salt Caverns," Energies, MDPI, vol. 15(4), pages 1-17, February.
    5. Klyapovskiy, Sergey & Zheng, Yi & You, Shi & Bindner, Henrik W., 2021. "Optimal operation of the hydrogen-based energy management system with P2X demand response and ammonia plant," Applied Energy, Elsevier, vol. 304(C).
    6. Arslan Ahmad Bashir & Mahdi Pourakbari Kasmaei & Amir Safdarian & Matti Lehtonen, 2018. "Matching of Local Load with On-Site PV Production in a Grid-Connected Residential Building," Energies, MDPI, vol. 11(9), pages 1-16, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arslan Ahmad Bashir & Matti Lehtonen, 2019. "Optimal Coordination of Aggregated Hydro-Storage with Residential Demand Response in Highly Renewable Generation Power System: The Case Study of Finland," Energies, MDPI, vol. 12(6), pages 1-16, March.
    2. Bogdanov, Dmitrii & Breyer, Christian, 2024. "Role of smart charging of electric vehicles and vehicle-to-grid in integrated renewables-based energy systems on country level," Energy, Elsevier, vol. 301(C).
    3. Alqahtani, Mohammed & Hu, Mengqi, 2022. "Dynamic energy scheduling and routing of multiple electric vehicles using deep reinforcement learning," Energy, Elsevier, vol. 244(PA).
    4. Schill, Wolf-Peter, 2011. "Electric Vehicles in Imperfect Electricity Markets: The case of Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 39(10), pages 6178-6189.
    5. Sovacool, Benjamin K. & Kester, Johannes & Noel, Lance & Zarazua de Rubens, Gerardo, 2020. "Actors, business models, and innovation activity systems for vehicle-to-grid (V2G) technology: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    6. Changhong Deng & Ning Liang & Jin Tan & Gongchen Wang, 2016. "Multi-Objective Scheduling of Electric Vehicles in Smart Distribution Network," Sustainability, MDPI, vol. 8(12), pages 1-15, November.
    7. Honarmand, Masoud & Zakariazadeh, Alireza & Jadid, Shahram, 2014. "Optimal scheduling of electric vehicles in an intelligent parking lot considering vehicle-to-grid concept and battery condition," Energy, Elsevier, vol. 65(C), pages 572-579.
    8. van der Kam, Mart & van Sark, Wilfried, 2015. "Smart charging of electric vehicles with photovoltaic power and vehicle-to-grid technology in a microgrid; a case study," Applied Energy, Elsevier, vol. 152(C), pages 20-30.
    9. Hota, Ashish Ranjan & Juvvanapudi, Mahesh & Bajpai, Prabodh, 2014. "Issues and solution approaches in PHEV integration to smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 217-229.
    10. Huang, Shoujun & Yang, Jun & Li, Shanjun, 2017. "Black-Scholes option pricing strategy and risk-averse coordination for designing vehicle-to-grid reserve contracts," Energy, Elsevier, vol. 137(C), pages 325-335.
    11. Schwarz, Marius & Auzépy, Quentin & Knoeri, Christof, 2020. "Can electricity pricing leverage electric vehicles and battery storage to integrate high shares of solar photovoltaics?," Applied Energy, Elsevier, vol. 277(C).
    12. Alqahtani, Mohammed & Hu, Mengqi, 2020. "Integrated energy scheduling and routing for a network of mobile prosumers," Energy, Elsevier, vol. 200(C).
    13. Oduro, Richard A. & Taylor, Peter G., 2023. "Future pathways for energy networks: A review of international experiences in high income countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    14. Xu, Fangqiu & Liu, Jicheng & Lin, Shuaishuai & Dai, Qiongjie & Li, Cunbin, 2018. "A multi-objective optimization model of hybrid energy storage system for non-grid-connected wind power: A case study in China," Energy, Elsevier, vol. 163(C), pages 585-603.
    15. Zhang, Qi & Tezuka, Tetsuo & Ishihara, Keiichi N. & Mclellan, Benjamin C., 2012. "Integration of PV power into future low-carbon smart electricity systems with EV and HP in Kansai Area, Japan," Renewable Energy, Elsevier, vol. 44(C), pages 99-108.
    16. Richardson, David B., 2013. "Electric vehicles and the electric grid: A review of modeling approaches, Impacts, and renewable energy integration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 247-254.
    17. Zhong, Jin & He, Lina & Li, Canbing & Cao, Yijia & Wang, Jianhui & Fang, Baling & Zeng, Long & Xiao, Guoxuan, 2014. "Coordinated control for large-scale EV charging facilities and energy storage devices participating in frequency regulation," Applied Energy, Elsevier, vol. 123(C), pages 253-262.
    18. Giordano, Vincenzo & Fulli, Gianluca, 2012. "A business case for Smart Grid technologies: A systemic perspective," Energy Policy, Elsevier, vol. 40(C), pages 252-259.
    19. Md. Rayid Hasan Mojumder & Fahmida Ahmed Antara & Md. Hasanuzzaman & Basem Alamri & Mohammad Alsharef, 2022. "Electric Vehicle-to-Grid (V2G) Technologies: Impact on the Power Grid and Battery," Sustainability, MDPI, vol. 14(21), pages 1-53, October.
    20. Schmidt, Johannes & Eisel, Matthias & Kolbe, Lutz M., 2014. "Assessing the potential of different charging strategies for electric vehicle fleets in closed transport systems," Energy Policy, Elsevier, vol. 74(C), pages 179-189.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:11:y:2018:i:5:p:1113-:d:144125. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.