IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i6p1494-d1361184.html
   My bibliography  Save this article

Energy Consumption and Battery Size of Battery Trolley Electric Trucks in Surface Mines

Author

Listed:
  • Haiming Bao

    (School of Mechanical and Mining Engineering, The University of Queensland, Brisbane 4072, Australia)

  • Peter Knights

    (School of Mechanical and Mining Engineering, The University of Queensland, Brisbane 4072, Australia)

  • Mehmet Kizil

    (School of Mechanical and Mining Engineering, The University of Queensland, Brisbane 4072, Australia)

  • Micah Nehring

    (School of Mechanical and Mining Engineering, The University of Queensland, Brisbane 4072, Australia)

Abstract

Mining production, being one of the most energy-intensive industries globally, consumes substantial amounts of fossil fuels and contributes to extensive carbon emissions worldwide. The trend toward electrification and advanced developments in battery technology have shifted attention from diesel power to battery alternatives. These alternatives are appealing, as they contribute to decarbonisation efforts when compared to conventional diesel trucks. This paper presents a comprehensive review of recent technological advancements in powertrains for Mining Haulage Truck (MHT). It also compares these configurations based on mining system-level considerations to assess their future potential. The evaluated configurations include Diesel-Electric Truck (DET), Trolley Assist Truck (TAT), Battery-only Truck (BOT), Battery Trolley with Dynamic charging truck (BT-D), and Battery Trolley with Stationary charging truck (BT-S). According to the analysis, the energy demand for on-board diesel or battery power (excluding trolley power) in these alternative options is as follows: DET—681 kWh, BOT—645 kWh, TAT—511 kWh, BT-S—471 kWh, and BT-D—466 kWh. The paper also illustrates the theory of battery size design based on the current battery technology, battery material selection, battery package design, and battery size selection methods. In the case of tailored battery size selection, BOT, BT-D, and BT-S configurations require LiFePO 4 (LFP) battery masses of 25 tonnes, 18 tonnes, and 18 tonnes, respectively. Based on a techno-economic assessment of battery MHT alternatives with a future perspective, it has been determined that BT-D requires the lowest amount of on-board battery energy. Furthermore, over a span of 20 years, BT-S has demonstrated the lowest on-board battery cost.

Suggested Citation

  • Haiming Bao & Peter Knights & Mehmet Kizil & Micah Nehring, 2024. "Energy Consumption and Battery Size of Battery Trolley Electric Trucks in Surface Mines," Energies, MDPI, vol. 17(6), pages 1-23, March.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:6:p:1494-:d:1361184
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/6/1494/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/6/1494/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Feng, Yanbiao & Dong, Zuomin, 2020. "Integrated design and control optimization of fuel cell hybrid mining truck with minimized lifecycle cost," Applied Energy, Elsevier, vol. 270(C).
    2. Igogo, Tsisilile & Awuah-Offei, Kwame & Newman, Alexandra & Lowder, Travis & Engel-Cox, Jill, 2021. "Integrating renewable energy into mining operations: Opportunities, challenges, and enabling approaches," Applied Energy, Elsevier, vol. 300(C).
    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. Feng, Juqiang & Cai, Feng & Zhao, Yang & Zhang, Xing & Zhan, Xinju & Wang, Shunli, 2024. "A novel feature optimization and ensemble learning method for state-of-health prediction of mining lithium-ion batteries," Energy, Elsevier, vol. 299(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. Aihua Tang & Lin Yang & Tao Zeng & Quanqing Yu, 2022. "Cascade Control Method of Sliding Mode and PID for PEMFC Air Supply System," Energies, MDPI, vol. 16(1), pages 1-13, December.
    2. Sanghyun Yun & Jinwon Yun & Jaeyoung Han, 2023. "Development of a 470-Horsepower Fuel Cell–Battery Hybrid Xcient Dynamic Model Using Simscape TM," Energies, MDPI, vol. 16(24), pages 1-22, December.
    3. Abbas, Khizar & Han, Mengyao & Xu, Deyi & Butt, Khalid Manzoor & Baz, Khan & Cheng, Jinhua & Zhu, Yongguang & Hussain, Sanwal, 2024. "Exploring synergistic and individual causal effects of rare earth elements and renewable energy on multidimensional economic complexity for sustainable economic development," Applied Energy, Elsevier, vol. 364(C).
    4. János Szanyi & Ladislaus Rybach & Hawkar A. Abdulhaq, 2023. "Geothermal Energy and Its Potential for Critical Metal Extraction—A Review," Energies, MDPI, vol. 16(20), pages 1-28, October.
    5. Xun, Qian & Murgovski, Nikolce & Liu, Yujing, 2022. "Chance-constrained robust co-design optimization for fuel cell hybrid electric trucks," Applied Energy, Elsevier, vol. 320(C).
    6. Ding, Hongbing & Dong, Yuanyuan & Zhang, Yu & Wen, Chuang & Yang, Yan, 2024. "Exergy performance analysis of hydrogen recirculation ejectors exhibiting phase change behaviour in PEMFC applications," Energy, Elsevier, vol. 300(C).
    7. Ma, Shuai & Lin, Meng & Lin, Tzu-En & Lan, Tian & Liao, Xun & Maréchal, François & Van herle, Jan & Yang, Yongping & Dong, Changqing & Wang, Ligang, 2021. "Fuel cell-battery hybrid systems for mobility and off-grid applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    8. Molina, S. & Novella, R. & Pla, B. & Lopez-Juarez, M., 2021. "Optimization and sizing of a fuel cell range extender vehicle for passenger car applications in driving cycle conditions," Applied Energy, Elsevier, vol. 285(C).
    9. Ma, Zhongjun & Zheng, Yanlong & Li, Jianchun & Zhao, Xiaobao & Zhao, Jian, 2024. "Enhancing rock breakage efficiency by microwave fracturing: A study on antenna selection," Energy, Elsevier, vol. 288(C).
    10. Raza, Syed Ali & Khan, Komal Akram, 2024. "Climate policy uncertainty and its relationship with precious metals price volatility: Comparative analysis pre and during COVID-19," Resources Policy, Elsevier, vol. 88(C).
    11. Zhou, Zhizuan & Zhou, Xiaodong & Ju, Xiaoyu & Li, Maoyu & Cao, Bei & Yang, Lizhong, 2023. "Experimental study of thermal runaway propagation along horizontal and vertical directions for LiFePO4 electrical energy storage modules," Renewable Energy, Elsevier, vol. 207(C), pages 13-26.
    12. Nándor Bozsik & András Szeberényi & Norbert Bozsik, 2024. "Impact of Climate Change on Electric Energy Production from Medium-Size Photovoltaic Module Systems Based on RCP Climate Scenarios," Energies, MDPI, vol. 17(16), pages 1-32, August.
    13. Qin, Peng & Jia, Zhuangzhuang & Wu, Jingyun & Jin, Kaiqiang & Duan, Qiangling & Jiang, Lihua & Sun, Jinhua & Ding, Jinghu & Shi, Cheng & Wang, Qingsong, 2022. "The thermal runaway analysis on LiFePO4 electrical energy storage packs with different venting areas and void volumes," Applied Energy, Elsevier, vol. 313(C).
    14. Bennett, Carly & Blanchet, Jocelyn & Trowell, Keena & Bergthorson, Jeffrey, 2023. "Decarbonizing Canada’s energy supply and exports with solar PV and e-fuels," Renewable Energy, Elsevier, vol. 217(C).
    15. Matthew Quayson & Chunguang Bai & Lihua Sun & Joseph Sarkis, 2023. "Building blockchain‐driven dynamic capabilities for developing circular supply chain: Rethinking the role of sensing, seizing, and reconfiguring," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 4821-4840, November.
    16. Zhang, Gang & Zhou, Su & Gao, Jianhua & Fan, Lei & Lu, Yanda, 2023. "Stacks multi-objective allocation optimization for multi-stack fuel cell systems," Applied Energy, Elsevier, vol. 331(C).
    17. Lulu Gao & Dongyue Wang & Chun Jin & Tong Yi, 2022. "Modelling and Performance Analysis of Cyclic Hydro-Pneumatic Energy Storage System Considering the Thermodynamic Characteristics," Energies, MDPI, vol. 15(18), pages 1-19, September.
    18. Zhou, Xingyu & Sun, Chao & Sun, Fengchun & Zhang, Chuntao, 2023. "Commuting-pattern-oriented stochastic optimization of electric powertrains for revealing contributions of topology modifications to the powertrain energy efficiency," Applied Energy, Elsevier, vol. 344(C).
    19. Napole, Cristian & Derbeli, Mohamed & Barambones, Oscar, 2021. "A global integral terminal sliding mode control based on a novel reaching law for a proton exchange membrane fuel cell system," Applied Energy, Elsevier, vol. 301(C).
    20. Alessandro Ferrara & Saeid Zendegan & Hans-Michael Koegeler & Sajin Gopi & Martin Huber & Johannes Pell & Christoph Hametner, 2022. "Optimal Calibration of an Adaptive and Predictive Energy Management Strategy for Fuel Cell Electric Trucks," Energies, MDPI, vol. 15(7), pages 1-20, March.

    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:17:y:2024:i:6:p:1494-:d:1361184. 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.