IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i13p4693-d848444.html
   My bibliography  Save this article

On the Feasibility and Efficiency of Self-Powered Green Intelligent Highways

Author

Listed:
  • Marius Minea

    (Department Telematics and Electronics for Transports, University “Politehnica” of Bucharest, 060042 Bucharest, Romania)

  • Cătălin Marian Dumitrescu

    (Department Telematics and Electronics for Transports, University “Politehnica” of Bucharest, 060042 Bucharest, Romania)

Abstract

(1) Background: The present development of transport networks focusses on the better management of fuels and energy and the preservation of the environment. To fulfill these desiderates, some countries have already reconsidered the deployment plans of new highways. This research studies the feasibility of less polluting, quasi-self-powered, intelligent highway infrastructure functional blocks accommodating functions for the future introduction of smart wireless sensor grids and connected autonomous vehicles. Subject of investigation are the possibilities of energy harvesting, and the intelligent management of resources. (2) Methods: the research investigates the main technologies for energy harvesting and recommends an optimal solution. It also proposes a framework for the intelligent, AI-based management of energy and the use of an optimized backup solution relying on 5G beamforming for energy supply of the local wireless sensing network devices; (3) Results: recommendations are made for the best energy harvesting solution, an architecture of the energy management system, an algorithm for energy management and backup solution based on 5G beamforming; (4) Conclusions: the research emphasizes the advantages and drawbacks for different solutions regarding energy harvesting in an intelligent green highway scenario with a focus on the infrastructure developed to accommodate future connected and autonomous vehicles. The term “intelligent highway” must be understood in the automotive industry to describe a network of roads where cars communicate with the infrastructure and among themselves for the purpose of avoiding congestion and performing the seamless operation of services, and a space where cars and infrastructure cooperatively process information for obtaining better road safety, less pollution, and efficient energy management. With the recent recession of conventional fuel availability and the increase in prices, a solution to improving autonomy of both cars and infrastructure might be welcomed.

Suggested Citation

  • Marius Minea & Cătălin Marian Dumitrescu, 2022. "On the Feasibility and Efficiency of Self-Powered Green Intelligent Highways," Energies, MDPI, vol. 15(13), pages 1-32, June.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4693-:d:848444
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/13/4693/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/13/4693/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mudhafar Al-Saadi & Maher Al-Greer & Michael Short, 2021. "Strategies for Controlling Microgrid Networks with Energy Storage Systems: A Review," Energies, MDPI, vol. 14(21), pages 1-45, November.
    2. Rob Shipman & Rebecca Roberts & Julie Waldron & Chris Rimmer & Lucelia Rodrigues & Mark Gillott, 2021. "Online Machine Learning of Available Capacity for Vehicle-to-Grid Services during the Coronavirus Pandemic," Energies, MDPI, vol. 14(21), pages 1-16, November.
    3. Zhang, Lizhi & Kuang, Jiyuan & Sun, Bo & Li, Fan & Zhang, Chenghui, 2020. "A two-stage operation optimization method of integrated energy systems with demand response and energy storage," Energy, Elsevier, vol. 208(C).
    4. Carlos Gijón-Rivera & José Luis Olazagoitia, 2020. "Methodology for Comprehensive Comparison of Energy Harvesting Shock Absorber Systems," Energies, MDPI, vol. 13(22), pages 1-25, November.
    5. Niloufar Zabihi & Mohamed Saafi, 2020. "Recent Developments in the Energy Harvesting Systems from Road Infrastructures," Sustainability, MDPI, vol. 12(17), pages 1-27, August.
    6. Van Can Nguyen & Chi-Tai Wang & Ying-Jiun Hsieh, 2021. "Electrification of Highway Transportation with Solar and Wind Energy," Sustainability, MDPI, vol. 13(10), pages 1-28, May.
    7. Diogo Correia & Adelino Ferreira, 2021. "Energy Harvesting on Airport Pavements: State-of-the-Art," Sustainability, MDPI, vol. 13(11), pages 1-20, May.
    8. Yiqing Dai & Yan Yin & Yundi Lu, 2021. "Strategies to Facilitate Photovoltaic Applications in Road Structures for Energy Harvesting," Energies, MDPI, vol. 14(21), pages 1-14, October.
    9. Na Zhang & Xianghui Zhao & Tao Liu & Ming Lei & Cui Wang & Yikun Wang, 2019. "Layout Planning of Highway Transportation Environment Monitoring Network: The Case of Xinjiang, China," Sustainability, MDPI, vol. 12(1), pages 1-25, December.
    10. Lincoln Bowen & Jordi Vinolas & José Luis Olazagoitia, 2019. "Design and Potential Power Recovery of Two Types of Energy Harvesting Shock Absorbers," Energies, MDPI, vol. 12(24), pages 1-19, December.
    Full references (including those not matched with items on IDEAS)

    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. Jiang, Wei & Wang, Teng & Yuan, Dongdong & Sha, Aimin & Zhang, Shuo & Zhang, Yufei & Xiao, Jingjing & Xing, Chengwei, 2024. "Available solar resources and photovoltaic system planning strategy for highway," Renewable and Sustainable Energy Reviews, Elsevier, vol. 203(C).
    2. Jing Li & Peiben Wang & Yuewen Gao & Dong Guan & Shengquan Li, 2022. "Quantitative Power Flow Characterization of Energy Harvesting Shock Absorbers by Considering Motion Bifurcation," Energies, MDPI, vol. 15(19), pages 1-21, September.
    3. Khasanzoda, Nasrullo & Safaraliev, Murodbek & Zicmane, Inga & Beryozkina, Svetlana & Rahimov, Jamshed & Ahyoev, Javod, 2022. "Use of smart grid based wind resources in isolated power systems," Energy, Elsevier, vol. 253(C).
    4. Dibin Zhu, 2022. "Advance Energy Harvesting Technologies," Energies, MDPI, vol. 15(7), pages 1-3, March.
    5. Kung, Kevin S. & Thengane, Sonal K. & Ghoniem, Ahmed F. & Lim, C. Jim & Cao, Yankai & Sokhansanj, Shahabaddine, 2022. "Start-up, shutdown, and transition timescale analysis in biomass reactor operations," Energy, Elsevier, vol. 248(C).
    6. Fan Li & Jingxi Su & Bo Sun, 2023. "An Optimal Scheduling Method for an Integrated Energy System Based on an Improved k-Means Clustering Algorithm," Energies, MDPI, vol. 16(9), pages 1-22, April.
    7. Jacek Caban & Jan Vrabel & Dorota Górnicka & Radosław Nowak & Maciej Jankiewicz & Jonas Matijošius & Marek Palka, 2023. "Overview of Energy Harvesting Technologies Used in Road Vehicles," Energies, MDPI, vol. 16(9), pages 1-32, April.
    8. Wang, Qiaochu & Ding, Yan & Kong, Xiangfei & Tian, Zhe & Xu, Linrui & He, Qing, 2022. "Load pattern recognition based optimization method for energy flexibility in office buildings," Energy, Elsevier, vol. 254(PC).
    9. Yiqing Dai & Yan Yin & Yundi Lu, 2021. "Strategies to Facilitate Photovoltaic Applications in Road Structures for Energy Harvesting," Energies, MDPI, vol. 14(21), pages 1-14, October.
    10. Maria Symeonidou & Agis M. Papadopoulos, 2022. "Selection and Dimensioning of Energy Storage Systems for Standalone Communities: A Review," Energies, MDPI, vol. 15(22), pages 1-28, November.
    11. Jiang, Wei & Zhang, Shuo & Wang, Teng & Zhang, Yufei & Sha, Aimin & Xiao, Jingjing & Yuan, Dongdong, 2024. "Evaluation method for the availability of solar energy resources in road areas before route corridor planning," Applied Energy, Elsevier, vol. 356(C).
    12. Li, Ke & Yang, Fan & Wang, Lupan & Yan, Yi & Wang, Haiyang & Zhang, Chenghui, 2022. "A scenario-based two-stage stochastic optimization approach for multi-energy microgrids," Applied Energy, Elsevier, vol. 322(C).
    13. Nithesh Naik & P. Suresh & Sanjay Yadav & M. P. Nisha & José Luis Arias-Gonzáles & Juan Carlos Cotrina-Aliaga & Ritesh Bhat & Manohara D. Jalageri & Yashaarth Kaushik & Aakif Budnar Kunjibettu, 2023. "A Review on Composite Materials for Energy Harvesting in Electric Vehicles," Energies, MDPI, vol. 16(8), pages 1-19, April.
    14. Wang, Xuebin & Song, Wenle & Wu, Haotian & Liang, Haiping & Saboor, Ahmed, 2022. "Microgrid operation relying on economic problems considering renewable sources, storage system, and demand-side management using developed gray wolf optimization algorithm," Energy, Elsevier, vol. 248(C).
    15. Trinadh Pamulapati & Muhammed Cavus & Ishioma Odigwe & Adib Allahham & Sara Walker & Damian Giaouris, 2022. "A Review of Microgrid Energy Management Strategies from the Energy Trilemma Perspective," Energies, MDPI, vol. 16(1), pages 1-34, December.
    16. Maria Ferrara & Matteo Bilardo & Dragos-Ioan Bogatu & Doyun Lee & Mahmood Khatibi & Samira Rahnama & Jun Shinoda & Ying Sun & Yongjun Sun & Alireza Afshari & Fariborz Haghighat & Ongun B. Kazanci & Ry, 2024. "Review on Advanced Storage Control Applied to Optimized Operation of Energy Systems for Buildings and Districts: Insights and Perspectives," Energies, MDPI, vol. 17(14), pages 1-26, July.
    17. Lu, Qing & Guo, Qisheng & Zeng, Wei, 2022. "Optimization scheduling of integrated energy service system in community: A bi-layer optimization model considering multi-energy demand response and user satisfaction," Energy, Elsevier, vol. 252(C).
    18. Mudhafar Al-Saadi & Maher Al-Greer & Michael Short, 2023. "Reinforcement Learning-Based Intelligent Control Strategies for Optimal Power Management in Advanced Power Distribution Systems: A Survey," Energies, MDPI, vol. 16(4), pages 1-38, February.
    19. Zhong, Junjie & Cao, Yijia & Li, Yong & Tan, Yi & Peng, Yanjian & Cao, Lihua & Zeng, Zilong, 2021. "Distributed modeling considering uncertainties for robust operation of integrated energy system," Energy, Elsevier, vol. 224(C).
    20. Gönül, Ömer & Duman, A. Can & Güler, Önder, 2024. "A comprehensive framework for electric vehicle charging station siting along highways using weighted sum method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(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:jeners:v:15:y:2022:i:13:p:4693-:d:848444. 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.