IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i18p6467-d1235129.html
   My bibliography  Save this article

Quantitative and Comparative Analysis of Energy Consumption in Urban Logistics Using Unmanned Aerial Vehicles and Selected Means of Transport

Author

Listed:
  • Anna Kwasiborska

    (Faculty of Transport, Warsaw University of Technology, Koszykowa Street 75, 00-662 Warsaw, Poland)

  • Anna Stelmach

    (Faculty of Transport, Warsaw University of Technology, Koszykowa Street 75, 00-662 Warsaw, Poland)

  • Izabela Jabłońska

    (Łukasiewicz Research Network, Poleczki Street 19, 00-822 Warsaw, Poland)

Abstract

Cities are moving towards sustainable development, which consists of tasks and challenges to improve the quality of life, and minimize energy consumption. The concept of sustainable mobility includes the choice of means of transport other than the car for all journeys, especially short distances, and for the delivery of goods. Due to the growing populations of cities, lack of free space, and high costs of building infrastructure for traditional means of transport, cities are looking for modern solutions that allow for the cheap, fast, and green transportation of people and goods. Urban air mobility is the answer to these problems, and uses eVTOL (electric vertical take-off and landing) aircraft and unmanned aerial vehicle systems (UAVs). The article’s main purpose is to present an energy efficiency analysis using UAVs and electric scooters in the transport of takeaway food, which is a solution that fits into the zero-emission transport policy. The article presents the following research problem: which type of electric transport (scooters/UAVs) shows a lower demand for electric energy when delivering food from restaurants to individual customers? The analysis method was applied using the D’Andrea, Dorling, Figliozzi, Kirchstein, and Tseng energy models. The completed calculations were used to perform a comparative analysis of energy consumption for three adopted scenarios related to energy consumption by drones.

Suggested Citation

  • Anna Kwasiborska & Anna Stelmach & Izabela Jabłońska, 2023. "Quantitative and Comparative Analysis of Energy Consumption in Urban Logistics Using Unmanned Aerial Vehicles and Selected Means of Transport," Energies, MDPI, vol. 16(18), pages 1-27, September.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:18:p:6467-:d:1235129
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/18/6467/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/18/6467/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Boglárka Eisinger Balassa & Réka Koteczki & Bence Lukács & László Buics, 2023. "Sustainability Aspects of Drone-Assisted Last-Mile Delivery Systems—A Discrete Event Simulation Approach," Energies, MDPI, vol. 16(12), pages 1-16, June.
    2. Idiano D’Adamo & Paolo Rosa, 2019. "A Structured Literature Review on Obsolete Electric Vehicles Management Practices," Sustainability, MDPI, vol. 11(23), pages 1-17, December.
    3. Irfan Ullah & Muhammad Safdar & Jianfeng Zheng & Alessandro Severino & Arshad Jamal, 2023. "Employing Bibliometric Analysis to Identify the Current State of the Art and Future Prospects of Electric Vehicles," Energies, MDPI, vol. 16(5), pages 1-24, February.
    4. Chiang, Wen-Chyuan & Li, Yuyu & Shang, Jennifer & Urban, Timothy L., 2019. "Impact of drone delivery on sustainability and cost: Realizing the UAV potential through vehicle routing optimization," Applied Energy, Elsevier, vol. 242(C), pages 1164-1175.
    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. Dong-Kyu Kim & Yeon-Woog Kang & Hye-Rin Jo & Jin Geon Kim & Minwoo Lee, 2024. "Direct Air Cooling of Pipe-Type Transmission Cable for Ampacity Enhancement: Simulations and Experiments," Energies, MDPI, vol. 17(2), pages 1-13, January.

    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. Yichen Lu & Chao Yang & Jun Yang, 2022. "A multi-objective humanitarian pickup and delivery vehicle routing problem with drones," Annals of Operations Research, Springer, vol. 319(1), pages 291-353, December.
    2. Karl-Arne Johannessen & Hans Comtet & Erik Fosse, 2021. "A Drone Logistic Model for Transporting the Complete Analytic Volume of a Large-Scale University Laboratory," IJERPH, MDPI, vol. 18(9), pages 1-19, April.
    3. Claudiu Vasile Kifor & Niculina Alexandra Grigore, 2023. "Circular Economy Approaches for Electrical and Conventional Vehicles," Sustainability, MDPI, vol. 15(7), pages 1-28, April.
    4. Nyaaba, Albert Apotele & Ayamga, Matthew, 2021. "Intricacies of medical drones in healthcare delivery: Implications for Africa," Technology in Society, Elsevier, vol. 66(C).
    5. Arunodaya Raj Mishra & Pratibha Rani & Fausto Cavallaro & Ibrahim M. Hezam, 2023. "An IVIF-Distance Measure and Relative Closeness Coefficient-Based Model for Assessing the Sustainable Development Barriers to Biofuel Enterprises in India," Sustainability, MDPI, vol. 15(5), pages 1-22, February.
    6. Joonyup Eun & Byung Duk Song & Sangbok Lee & Dae-Eun Lim, 2019. "Mathematical Investigation on the Sustainability of UAV Logistics," Sustainability, MDPI, vol. 11(21), pages 1-15, October.
    7. Deng, Yawen & Ng Tsan Sheng, Adam & Xu, Jiuping, 2023. "Authority-enterprise equilibrium based mixed subsidy mechanism for the value-added treatment of food waste," Energy, Elsevier, vol. 282(C).
    8. Mingkai Wang & Saulo O. D. Luiz & Shuguang Zhang & Antonio M. N. Lima, 2023. "Electric Flight in Extreme and Uncertain Urban Environments," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
    9. Ilić, Damir & Milošević, Isidora & Ilić-Kosanović, Tatjana, 2022. "Application of Unmanned Aircraft Systems for smart city transformation: Case study Belgrade," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    10. Nam Hoai Nguyen & Quynh T. Tran & Thao V. Nguyen & Nam Tran & Leon Roose & Saeed Sepasi & Maria Luisa Di Silvestre, 2023. "A Method for Assessing the Feasibility of Integrating Planned Unidirectional EV Chargers into the Distribution Grid: A Case Study in Danang, Vietnam," Energies, MDPI, vol. 16(9), pages 1-16, April.
    11. Moien A. Omar, 2023. "The Significance of Considering Battery Service-Lifetime for Correctly Sizing Hybrid PV–Diesel Energy Systems," Energies, MDPI, vol. 17(1), pages 1-22, December.
    12. Giulia Caruso & Emiliano Colantonio & Stefano Antonio Gattone, 2020. "Relationships between Renewable Energy Consumption, Social Factors, and Health: A Panel Vector Auto Regression Analysis of a Cluster of 12 EU Countries," Sustainability, MDPI, vol. 12(7), pages 1-16, April.
    13. Raymond Kene & Thomas Olwal & Barend J. van Wyk, 2021. "Sustainable Electric Vehicle Transportation," Sustainability, MDPI, vol. 13(22), pages 1-16, November.
    14. Li, Hao & Huang, Wentao & Li, Ran & Yu, Moduo & Tai, Nengling & Zhou, Songli, 2023. "The multi-visit-multi-voyage scheduling of the heterogeneous shuttle tanker fleet via inventory-oriented joint planning," Applied Energy, Elsevier, vol. 334(C).
    15. Nils Boysen & Stefan Fedtke & Stefan Schwerdfeger, 2021. "Last-mile delivery concepts: a survey from an operational research perspective," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(1), pages 1-58, March.
    16. Jianxun Li & Hao Liu & Kin Keung Lai & Bhagwat Ram, 2022. "Vehicle and UAV Collaborative Delivery Path Optimization Model," Mathematics, MDPI, vol. 10(20), pages 1-22, October.
    17. Sergio Maria Patella & Gianluca Grazieschi & Valerio Gatta & Edoardo Marcucci & Stefano Carrese, 2020. "The Adoption of Green Vehicles in Last Mile Logistics: A Systematic Review," Sustainability, MDPI, vol. 13(1), pages 1-29, December.
    18. D'Adamo, Idiano & Gastaldi, Massimo & Rosa, Paolo, 2020. "Recycling of end-of-life vehicles: Assessing trends and performances in Europe," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    19. Barouch Giechaskiel & Theodoros Grigoratos & Marcel Mathissen & Joris Quik & Peter Tromp & Mats Gustafsson & Vicente Franco & Panagiota Dilara, 2024. "Contribution of Road Vehicle Tyre Wear to Microplastics and Ambient Air Pollution," Sustainability, MDPI, vol. 16(2), pages 1-31, January.
    20. Jacek Buko & Marek Bulsa & Adam Makowski, 2022. "Spatial Premises and Key Conditions for the Use of UAVs for Delivery of Items on the Example of the Polish Courier and Postal Services Market," Energies, MDPI, vol. 15(4), pages 1-17, February.

    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:16:y:2023:i:18:p:6467-:d:1235129. 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.