IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v247y2022ics0360544222002778.html
   My bibliography  Save this article

Use and cost optimization for underground mines electrical energy: A case of a mine in Zvishavane

Author

Listed:
  • Maregedze, Laurence
  • Chingosho, Hilton
  • Madiye, Luxmore

Abstract

Mines profit margins are being lowered by high energy tariffs, demand costs, energy costs due to high energy consuming equipment and energy losses. To mitigate the problem of higher energy cost, mines should optimize energy use centred on productive mining equipment and peak demand shift since meaningful reduction of energy cost is on productive energy consumption. A model of the mining electrical energy use and costing was produced to provide a detailed mining industry research study since other studies were mainly centred on energy optimization reviews and single parameter analysis. The mine energy use and cost optimization were based on rescheduling of shifts and equipment, the proposed mine operation model, load crippling, the power factor correction and the implementation of the renewable energy supply coupled with noted parameters. The research established that a non-renewable energy supply combination of the rescheduling methods, load crippling, power factor correction and recommended mine operation mode is the best way of reducing energy cost of 21.81% considering the Net Present Value (NPV). The recommended mine operation mode guarantee reduced energy costs by 8.07%, enable continuous production during maintenance time, increased mine asserts and increased mine production capacity when higher production is needed.

Suggested Citation

  • Maregedze, Laurence & Chingosho, Hilton & Madiye, Luxmore, 2022. "Use and cost optimization for underground mines electrical energy: A case of a mine in Zvishavane," Energy, Elsevier, vol. 247(C).
  • Handle: RePEc:eee:energy:v:247:y:2022:i:c:s0360544222002778
    DOI: 10.1016/j.energy.2022.123374
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222002778
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2022.123374?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. Wiser, Ryan & Millstein, Dev & Mai, Trieu & Macknick, Jordan & Carpenter, Alberta & Cohen, Stuart & Cole, Wesley & Frew, Bethany & Heath, Garvin, 2016. "The environmental and public health benefits of achieving high penetrations of solar energy in the United States," Energy, Elsevier, vol. 113(C), pages 472-486.
    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. Claudio Caromba & Corné Schutte & Jean van Laar, 2023. "Application of Clustering Techniques for Improved Energy Benchmarking on Deep-Level Mines," Energies, MDPI, vol. 16(19), pages 1-18, 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. Yang, Jing & Zhang, Zhiyong & Yang, Mingwan & Chen, Jiayu, 2019. "Optimal operation strategy of green supply chain based on waste heat recovery quality," Energy, Elsevier, vol. 183(C), pages 599-605.
    2. Sashwat Roy & Parikhit Sinha & Syed Ismat Shah, 2020. "Assessing the Techno-Economics and Environmental Attributes of Utility-Scale PV with Battery Energy Storage Systems (PVS) Compared to Conventional Gas Peakers for Providing Firm Capacity in California," Energies, MDPI, vol. 13(2), pages 1-24, January.
    3. Kumar, Pankaj & Brar, S.K. & Pandove, Gulab & Aulakh, C.S., 2021. "Bioformulation of Azotobacter spp. and Streptomyces badius on the productivity, economics and energetics of wheat (Triticum aestivum L.)," Energy, Elsevier, vol. 232(C).
    4. Ahmed S. Alahmed & Lang Tong, 2022. "Integrating Distributed Energy Resources: Optimal Prosumer Decisions and Impacts of Net Metering Tariffs," Papers 2204.06115, arXiv.org, revised May 2022.
    5. Yushchenko, Alisa & Patel, Martin Kumar, 2017. "Cost-effectiveness of energy efficiency programs: How to better understand and improve from multiple stakeholder perspectives?," Energy Policy, Elsevier, vol. 108(C), pages 538-550.
    6. Kaur, Navneet & Vashist, Krishan Kumar & Brar, A.S., 2021. "Energy and productivity analysis of maize based crop sequences compared to rice-wheat system under different moisture regimes," Energy, Elsevier, vol. 216(C).
    7. Craig, Michael T. & Jaramillo, Paulina & Hodge, Bri-Mathias & Williams, Nathaniel J. & Severnini, Edson, 2018. "A retrospective analysis of the market price response to distributed photovoltaic generation in California," Energy Policy, Elsevier, vol. 121(C), pages 394-403.
    8. James McCall & James Macdonald & Robin Burton & Jordan Macknick, 2023. "Vegetation Management Cost and Maintenance Implications of Different Ground Covers at Utility-Scale Solar Sites," Sustainability, MDPI, vol. 15(7), pages 1-26, March.
    9. Sara Ilahi & Yongchang Wu & Muhammad Ahsan Ali Raza & Wenshan Wei & Muhammad Imran & Lyankhua Bayasgalankhuu, 2019. "Optimization Approach for Improving Energy Efficiency and Evaluation of Greenhouse Gas Emission of Wheat Crop using Data Envelopment Analysis," Sustainability, MDPI, vol. 11(12), pages 1-16, June.
    10. Horowitz, Kelsey A.W. & Palmintier, Bryan & Mather, Barry & Denholm, Paul, 2018. "Distribution system costs associated with the deployment of photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 420-433.
    11. Sward, Jeffrey A. & Siff, Jackson & Gu, Jiajun & Zhang, K. Max, 2019. "Strategic planning for utility-scale solar photovoltaic development – Historical peak events revisited," Applied Energy, Elsevier, vol. 250(C), pages 1292-1301.
    12. Nicholas Valentini & Raed Jarrah & Chang-Ray Chen, 2023. "Public perception of residential solar energy in Minnesota?s urban areas," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2023(1), pages 61-23.
    13. Tommaso Colussi & Matteo Romagnoli & Elena Villar, 2022. "The Intended and Unintended Consequences of Taxing Waste," CESifo Working Paper Series 9946, CESifo.
    14. Grubert, E. & Zacarias, M., 2022. "Paradigm shifts for environmental assessment of decarbonizing energy systems: Emerging dominance of embodied impacts and design-oriented decision support needs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    15. Ringkjøb, Hans-Kristian & Haugan, Peter M. & Solbrekke, Ida Marie, 2018. "A review of modelling tools for energy and electricity systems with large shares of variable renewables," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 440-459.
    16. Nemet, Gregory F. & O’Shaughnessy, Eric & Wiser, Ryan & Darghouth, Naïm & Barbose, Galen & Gillingham, Ken & Rai, Varun, 2017. "Characteristics of low-priced solar PV systems in the U.S," Applied Energy, Elsevier, vol. 187(C), pages 501-513.
    17. Cohen, Stuart M. & Caron, Justin, 2018. "The economic impacts of high wind penetration scenarios in the United States," Energy Economics, Elsevier, vol. 76(C), pages 558-573.
    18. Botelho, Anabela & Lourenço-Gomes, Lina & Pinto, Lígia & Sousa, Sara & Valente, Marieta, 2017. "Accounting for local impacts of photovoltaic farms: The application of two stated preferences approaches to a case-study in Portugal," Energy Policy, Elsevier, vol. 109(C), pages 191-198.
    19. Kyle W. Proctor & Ganti S. Murthy & Chad W. Higgins, 2020. "Agrivoltaics Align with Green New Deal Goals While Supporting Investment in the US’ Rural Economy," Sustainability, MDPI, vol. 13(1), pages 1-11, December.
    20. Ren, Hongbo & Wu, Qiong & Zhu, Qunzhi & Gao, Weijun, 2019. "Cost–benefit analysis of distributed energy systems considering multi-benefits and multi-stakeholders," Energy, Elsevier, vol. 189(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:eee:energy:v:247:y:2022:i:c:s0360544222002778. 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.