IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i11p4164-d182299.html
   My bibliography  Save this article

An Adaptable Engineering Support Framework for Multi-Functional Energy Storage System Applications

Author

Listed:
  • Claudia Zanabria

    (Center for Energy—Electric Energy Systems, AIT Austrian Institute of Technology, 1210 Vienna, Austria)

  • Filip Pröstl Andrén

    (Center for Energy—Electric Energy Systems, AIT Austrian Institute of Technology, 1210 Vienna, Austria)

  • Thomas I. Strasser

    (Center for Energy—Electric Energy Systems, AIT Austrian Institute of Technology, 1210 Vienna, Austria
    Institute of Mechanics and Mechatronics, Vienna University of Technology, 1040 Vienna, Austria)

Abstract

A significant integration of energy storage systems is taking place to offer flexibility to electrical networks and to mitigate side effects of a high penetration of distributed energy resources. To accommodate this, new processes are needed for the design, implementation, and proof-of-concept of emerging storage systems services, such as voltage and frequency regulation, and reduction of energy costs, among others. Nowadays, modern approaches are getting popular to support engineers during the design and development process of such multi-functional energy storage systems. Nevertheless, these approaches still lack flexibility needed to accommodate changing practices and requirements from control engineers and along the development process. With that in mind, this paper shows how a modern development approach for rapid prototyping of multi-functional battery energy storage system applications can be extended to provide this needed flexibility. For this, an expert user is introduced, which has the sole purpose of adapting the existing engineering approach to fulfill any new requirements from the control engineers. To achieve this, the expert user combines concepts from model-driven engineering and ontologies to reach an adaptable engineering support framework. As a result, new engineering requirements, such as new information sources and target platforms, can be automatically included into the engineering approach by the expert user, providing the control engineer with further support during the development process. The usefulness of the proposed solution is shown with a selected use case related to the implementation of an application for a battery energy storage system. It demonstrates how the expert user can fully adapt an existing engineering approach to the control engineer’s needs and thus increase the effectiveness of the whole engineering process.

Suggested Citation

  • Claudia Zanabria & Filip Pröstl Andrén & Thomas I. Strasser, 2018. "An Adaptable Engineering Support Framework for Multi-Functional Energy Storage System Applications," Sustainability, MDPI, vol. 10(11), pages 1-28, November.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:11:p:4164-:d:182299
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/11/4164/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/11/4164/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Filip Pröstl Andrén & Thomas I. Strasser & Wolfgang Kastner, 2017. "Engineering Smart Grids: Applying Model-Driven Development from Use Case Design to Deployment," Energies, MDPI, vol. 10(3), pages 1-33, March.
    2. Alizadeh, M.I. & Parsa Moghaddam, M. & Amjady, N. & Siano, P. & Sheikh-El-Eslami, M.K., 2016. "Flexibility in future power systems with high renewable penetration: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1186-1193.
    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. Deymi-Dashtebayaz, Mahdi & Norani, Marziye, 2021. "Sustainability assessment and emergy analysis of employing the CCHP system under two different scenarios in a data center," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).

    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. Melliger, Marc, 2023. "Quantifying technology skewness in European multi-technology auctions and the effect of design elements and other driving factors," Energy Policy, Elsevier, vol. 175(C).
    2. O'Connell, & Voisin, Nathalie & Macknick, & Fu,, 2019. "Sensitivity of Western U.S. power system dynamics to droughts compounded with fuel price variability," Applied Energy, Elsevier, vol. 247(C), pages 745-754.
    3. Antti Alahäivälä & Juha Kiviluoma & Jyrki Leino & Matti Lehtonen, 2017. "System-Level Value of a Gas Engine Power Plant in Electricity and Reserve Production," Energies, MDPI, vol. 10(7), pages 1-13, July.
    4. Claudia Zanabria & Ali Tayyebi & Filip Pröstl Andrén & Johannes Kathan & Thomas Strasser, 2017. "Engineering Support for Handling Controller Conflicts in Energy Storage Systems Applications," Energies, MDPI, vol. 10(10), pages 1-24, October.
    5. Prinsloo, Gerro & Dobson, Robert & Mammoli, Andrea, 2018. "Synthesis of an intelligent rural village microgrid control strategy based on smartgrid multi-agent modelling and transactive energy management principles," Energy, Elsevier, vol. 147(C), pages 263-278.
    6. Carrelhas, A.A.D. & Gato, L.M.C. & Henriques, J.C.C. & Falcão, A.F.O. & Varandas, J., 2019. "Test results of a 30 kW self-rectifying biradial air turbine-generator prototype," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 187-198.
    7. Dagoumas, Athanasios S. & Koltsaklis, Nikolaos E., 2019. "Review of models for integrating renewable energy in the generation expansion planning," Applied Energy, Elsevier, vol. 242(C), pages 1573-1587.
    8. Maitanova, Nailya & Schlüters, Sunke & Hanke, Benedikt & von Maydell, Karsten, 2024. "An analytical method for quantifying the flexibility potential of decentralised energy systems," Applied Energy, Elsevier, vol. 364(C).
    9. Zhang, Ying & Deng, Shuai & Ni, Jiaxin & Zhao, Li & Yang, Xingyang & Li, Minxia, 2017. "A literature research on feasible application of mixed working fluid in flexible distributed energy system," Energy, Elsevier, vol. 137(C), pages 377-390.
    10. Bellocchi, Sara & Manno, Michele & Noussan, Michel & Prina, Matteo Giacomo & Vellini, Michela, 2020. "Electrification of transport and residential heating sectors in support of renewable penetration: Scenarios for the Italian energy system," Energy, Elsevier, vol. 196(C).
    11. Mathias Uslar & Sebastian Rohjans & Christian Neureiter & Filip Pröstl Andrén & Jorge Velasquez & Cornelius Steinbrink & Venizelos Efthymiou & Gianluigi Migliavacca & Seppo Horsmanheimo & Helfried Bru, 2019. "Applying the Smart Grid Architecture Model for Designing and Validating System-of-Systems in the Power and Energy Domain: A European Perspective," Energies, MDPI, vol. 12(2), pages 1-40, January.
    12. Mauro Lafratta & Matthew Leach & Rex B. Thorpe & Mark Willcocks & Eve Germain & Sabeha K. Ouki & Achame Shana & Jacquetta Lee, 2021. "Economic and Carbon Costs of Electricity Balancing Services: The Need for Secure Flexible Low-Carbon Generation," Energies, MDPI, vol. 14(16), pages 1-21, August.
    13. Morteza Zare Oskouei & Ayşe Aybike Şeker & Süleyman Tunçel & Emin Demirbaş & Tuba Gözel & Mehmet Hakan Hocaoğlu & Mehdi Abapour & Behnam Mohammadi-Ivatloo, 2022. "A Critical Review on the Impacts of Energy Storage Systems and Demand-Side Management Strategies in the Economic Operation of Renewable-Based Distribution Network," Sustainability, MDPI, vol. 14(4), pages 1-34, February.
    14. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S. & Panapakidis, Ioannis P., 2017. "Impact of the penetration of renewables on flexibility needs," Energy Policy, Elsevier, vol. 109(C), pages 360-369.
    15. Zhao, Ning & You, Fengqi, 2022. "Sustainable power systems operations under renewable energy induced disjunctive uncertainties via machine learning-based robust optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    16. Dong-Hee Yoon & Sang-Kyun Kang & Minseong Kim & Youngsun Han, 2018. "Exploiting Coarse-Grained Parallelism Using Cloud Computing in Massive Power Flow Computation," Energies, MDPI, vol. 11(9), pages 1-15, August.
    17. Kong, Xiangyu & Xiao, Jie & Wang, Chengshan & Cui, Kai & Jin, Qiang & Kong, Deqian, 2019. "Bi-level multi-time scale scheduling method based on bidding for multi-operator virtual power plant," Applied Energy, Elsevier, vol. 249(C), pages 178-189.
    18. Kopiske, Jakob & Spieker, Sebastian & Tsatsaronis, George, 2017. "Value of power plant flexibility in power systems with high shares of variable renewables: A scenario outlook for Germany 2035," Energy, Elsevier, vol. 137(C), pages 823-833.
    19. Cornelius, Adam & Bandyopadhyay, Rubenka & Patiño-Echeverri, Dalia, 2018. "Assessing environmental, economic, and reliability impacts of flexible ramp products in MISO's electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2291-2298.
    20. Yan, Zhe & Zhang, Yongming & Liang, Runqi & Jin, Wenrui, 2020. "An allocative method of hybrid electrical and thermal energy storage capacity for load shifting based on seasonal difference in district energy planning," Energy, Elsevier, vol. 207(C).

    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:jsusta:v:10:y:2018:i:11:p:4164-:d:182299. 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.