IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v36y2011i11p6697-6704.html
   My bibliography  Save this article

A statistical approach to electrical storage sizing with application to the recovery of braking energy

Author

Listed:
  • Musolino, V.
  • Pievatolo, A.
  • Tironi, E.

Abstract

In the context of efficient energy use, electrical energy in electric drives plays a fundamental role. High efficiency energy storage systems permit energy recovery, peak shaving and power quality functions. Due to their cost and the importance of system integration, there is a need for a correct design based on technical-economical optimization. In this paper, a method to design a centralized storage system for the recovery of the power regenerated by a number of electric drives is presented. It is assumed that the drives follow deterministic power cycles, but shifted by an uncertain amount. Therefore the recoverable energy and, consequently, the storage size requires the optimization of a random cost function, embedding both the plant total cost and the saving due to the reduced energy consumption during the useful life of the storage. The underlying stochastic model for the power profile of the drives as a whole is built from a general Markov chain framework. A numerical example, based on Monte Carlo simulations, concerns the maximization of the recoverable potential energy of multiple bridge cranes, supplied by a unique grid connection point and a centralized supercapacitor storage system.

Suggested Citation

  • Musolino, V. & Pievatolo, A. & Tironi, E., 2011. "A statistical approach to electrical storage sizing with application to the recovery of braking energy," Energy, Elsevier, vol. 36(11), pages 6697-6704.
    • Handle: RePEc:eee:energy:v:36:y:2011:i:11:p:6697-6704
    DOI: 10.1016/j.energy.2011.07.037
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544211004853
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2011.07.037?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tan, Chee Wei & Green, Tim C. & Hernandez-Aramburo, Carlos A., 2010. "A stochastic method for battery sizing with uninterruptible-power and demand shift capabilities in PV (photovoltaic) systems," Energy, Elsevier, vol. 35(12), pages 5082-5092.
    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. Lujano-Rojas, Juan M. & Dufo-López, Rodolfo & Bernal-Agustín, José L., 2013. "Probabilistic modelling and analysis of stand-alone hybrid power systems," Energy, Elsevier, vol. 63(C), pages 19-27.
    2. Huang, Ton-Churo & Leu, Yih-Guang & Chang, Yuan-Chang & Hou, Sheng-Yun & Li, Cheng-Chou, 2013. "An energy harvester using self-powered feed forward converter charging approach," Energy, Elsevier, vol. 55(C), pages 769-777.
    3. Abu Hanifah, Rabiatuladawiyah & Toha, Siti Fauziah & Hassan, Mohd Khair & Ahmad, Salmiah, 2016. "Power reduction optimization with swarm based technique in electric power assist steering system," Energy, Elsevier, vol. 102(C), pages 444-452.
    4. Hauge, H.H. & Presser, V. & Burheim, O., 2014. "In-situ and ex-situ measurements of thermal conductivity of supercapacitors," Energy, Elsevier, vol. 78(C), pages 373-383.
    5. Zamani, Ali Ghahgharaee & Zakariazadeh, Alireza & Jadid, Shahram, 2016. "Day-ahead resource scheduling of a renewable energy based virtual power plant," Applied Energy, Elsevier, vol. 169(C), pages 324-340.
    6. Qi, Lingfei & Wu, Xiaoping & Zeng, Xiaohui & Feng, Yan & Pan, Hongye & Zhang, Zutao & Yuan, Yanping, 2020. "An electro-mechanical braking energy recovery system based on coil springs for energy saving applications in electric vehicles," Energy, Elsevier, vol. 200(C).
    7. Murashko, Kirill & Nevstrueva, Daria & Pihlajamäki, Arto & Koiranen, Tuomas & Pyrhönen, Juha, 2017. "Cellulose and activated carbon based flexible electrical double-layer capacitor electrode: Preparation and characterization," Energy, Elsevier, vol. 119(C), pages 435-441.
    8. Papaioannou, Vicky & Pietrosanti, Stefano & Holderbaum, William & Becerra, Victor M. & Mayer, Rayner, 2017. "Analysis of energy usage for RTG cranes," Energy, Elsevier, vol. 125(C), pages 337-344.
    9. Mirzaei, Amin & Jusoh, Awang & Salam, Zainal, 2012. "Design and implementation of high efficiency non-isolated bidirectional zero voltage transition pulse width modulated DC–DC converters," Energy, Elsevier, vol. 47(1), pages 358-369.
    10. Pavković, D. & Hoić, M. & Deur, J. & Petrić, J., 2014. "Energy storage systems sizing study for a high-altitude wind energy application," Energy, Elsevier, vol. 76(C), pages 91-103.
    11. Back, Jaime André & Tedesco, Leonel Pablo & Molz, Rolf Fredi & Nara, Elpidio Oscar Benitez, 2016. "An embedded system approach for energy monitoring and analysis in industrial processes," Energy, Elsevier, vol. 115(P1), pages 811-819.
    12. Zhang, Yuxin & Guo, Konghui & Wang, Dai & Chen, Chao & Li, Xuefei, 2017. "Energy conversion mechanism and regenerative potential of vehicle suspensions," Energy, Elsevier, vol. 119(C), pages 961-970.

    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. Mehrabankhomartash, Mahmoud & Rayati, Mohammad & Sheikhi, Aras & Ranjbar, Ali Mohammad, 2017. "Practical battery size optimization of a PV system by considering individual customer damage function," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 36-50.
    2. Spiliotis, Konstantinos & Gonçalves, Juliana E. & Saelens, Dirk & Baert, Kris & Driesen, Johan, 2020. "Electrical system architectures for building-integrated photovoltaics: A comparative analysis using a modelling framework in Modelica," Applied Energy, Elsevier, vol. 261(C).
    3. Tareen, Wajahat Ullah & Mekhilef, Saad, 2016. "Transformer-less 3P3W SAPF (three-phase three-wire shunt active power filter) with line-interactive UPS (uninterruptible power supply) and battery energy storage stage," Energy, Elsevier, vol. 109(C), pages 525-536.
    4. Zahraee, S.M. & Khalaji Assadi, M. & Saidur, R., 2016. "Application of Artificial Intelligence Methods for Hybrid Energy System Optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 617-630.
    5. Kaplani, E. & Kaplanis, S., 2012. "A stochastic simulation model for reliable PV system sizing providing for solar radiation fluctuations," Applied Energy, Elsevier, vol. 97(C), pages 970-981.
    6. Schroeder, Andreas, 2011. "Modeling storage and demand management in power distribution grids," Applied Energy, Elsevier, vol. 88(12), pages 4700-4712.
    7. Sukumar, Shivashankar & Mokhlis, Hazlie & Mekhilef, Saad & Naidu, Kanendra & Karimi, Mazaher, 2017. "Mix-mode energy management strategy and battery sizing for economic operation of grid-tied microgrid," Energy, Elsevier, vol. 118(C), pages 1322-1333.
    8. Mohammad Rozali, Nor Erniza & Wan Alwi, Sharifah Rafidah & Manan, Zainuddin Abdul & Klemeš, Jiří Jaromír, 2015. "Peak-off-peak load shifting for hybrid power systems based on Power Pinch Analysis," Energy, Elsevier, vol. 90(P1), pages 128-136.
    9. Yin, Cong & Gao, Yan & Guo, Shaoyun & Tang, Hao, 2014. "A coupled three dimensional model of vanadium redox flow battery for flow field designs," Energy, Elsevier, vol. 74(C), pages 886-895.
    10. Mostafa Farrokhabadi, 2019. "Data-Driven Mitigation of Energy Scheduling Inaccuracy in Renewable-Penetrated Grids: Summerside Electric Use Case," Energies, MDPI, vol. 12(12), pages 1-23, June.
    11. Yang, Yuqing & Bremner, Stephen & Menictas, Chris & Kay, Merlinde, 2018. "Battery energy storage system size determination in renewable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 109-125.
    12. Li, Jianwei & Yang, Qingqing & Robinson, Francis. & Liang, Fei & Zhang, Min & Yuan, Weijia, 2017. "Design and test of a new droop control algorithm for a SMES/battery hybrid energy storage system," Energy, Elsevier, vol. 118(C), pages 1110-1122.
    13. Al-Yasiri, Mohammed & Park, Jonghyun, 2018. "A novel cell design of vanadium redox flow batteries for enhancing energy and power performance," Applied Energy, Elsevier, vol. 222(C), pages 530-539.
    14. Khezri, Rahmat & Mahmoudi, Amin & Aki, Hirohisa, 2022. "Optimal planning of solar photovoltaic and battery storage systems for grid-connected residential sector: Review, challenges and new perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    15. Virulkar, Vasudeo & Aware, Mohan & Kolhe, Mohan, 2011. "Integrated battery controller for distributed energy system," Energy, Elsevier, vol. 36(5), pages 2392-2398.
    16. Carlo Bianca, 2022. "On the Modeling of Energy-Multisource Networks by the Thermostatted Kinetic Theory Approach: A Review with Research Perspectives," Energies, MDPI, vol. 15(21), pages 1-22, October.
    17. Sultan, Ali J. & Ingham, Derek B. & Hughes, Kevin J. & Ma, Lin & Pourkashanian, Mohamed, 2021. "Optimization and performance enhancement of concentrating solar power in a hot and arid desert environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    18. Zhou, Yuekuan, 2023. "Sustainable energy sharing districts with electrochemical battery degradation in design, planning, operation and multi-objective optimisation," Renewable Energy, Elsevier, vol. 202(C), pages 1324-1341.
    19. Lujano-Rojas, Juan M. & Dufo-López, Rodolfo & Bernal-Agustín, José L., 2013. "Probabilistic modelling and analysis of stand-alone hybrid power systems," Energy, Elsevier, vol. 63(C), pages 19-27.
    20. Erdinc, O. & Uzunoglu, M., 2012. "Optimum design of hybrid renewable energy systems: Overview of different approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1412-1425.

    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:eee:energy:v:36:y:2011:i:11:p:6697-6704. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.