IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i6p2458-d1357837.html
   My bibliography  Save this article

An Integrated Solution for Nuclear Power Plant On-Site Optimal Evacuation Path Planning Based on Atmospheric Dispersion and Dose Model

Author

Listed:
  • Yushuo Ren

    (College of Energy, Xiamen University, Xiamen 361102, China
    Department of Engineering Physics, Tsinghua University, Beijing 100084, China)

  • Guoming Zhang

    (College of Energy, Xiamen University, Xiamen 361102, China)

  • Jianxiang Zheng

    (College of Energy, Xiamen University, Xiamen 361102, China
    Fujian Provincial Nuclear Energy Engineering Technology Research Center, Xiamen 361005, China)

  • Huifang Miao

    (College of Energy, Xiamen University, Xiamen 361102, China
    Fujian Provincial Nuclear Energy Engineering Technology Research Center, Xiamen 361005, China)

Abstract

Safety in nuclear energy utilization is crucial. In the event of a radioactive release incident, coupled with meteorological uncertainties, a radioactive plume can impact personnel evacuation. This paper presents an integrated solution for radionuclide release accident assessment and emergency evacuation decision making. The solution consists of three processes: atmospheric dispersion calculation, dose calculation, and path planning. The individual processes are connected through data exchange, thus allowing users to choose specific models based on experience. The proposed scheme combination is the Gaussian plume model, the dose conversion factor method, and an improved Dijkstra’s path planning algorithm. This algorithm, combined with dispersion and dose results, weighs nodes using the moving expected dose, facilitating the path with minimum dose risk. A program for Atmospheric Diffusion and Dose Calculation (ADDC) is developed based on the recommended scheme. Advantages include ease of use, minimal data requirements, data accessibility, and efficient evacuation. Dose estimates and optimal evacuation routes can be obtained quickly and at very low cost in response to rapidly changing environmental conditions. In a case study at a Chinese planned nuclear plant, we consider a spent fuel pool water loss scenario, assessing dose risks from 2020 to 2022 meteorological statistics. In dose calculation, results reveal that during an SFP drying accident, the radiation dose in the core area (100 m away) can reach 30–150 mSv within 2 h, and at 500 m away, it can reach 5–15 mSv. The dose in all downwind directions can drop below 250 mSv within 60 m. In path planning, results reveal the program is capable of accurately and efficiently calculating the minimum dose evacuation route. The program’s path reduces the effective dose by up to 67.3% compared to the shortest route, enhancino safety, and guiding post-accident decision making and planning.

Suggested Citation

  • Yushuo Ren & Guoming Zhang & Jianxiang Zheng & Huifang Miao, 2024. "An Integrated Solution for Nuclear Power Plant On-Site Optimal Evacuation Path Planning Based on Atmospheric Dispersion and Dose Model," Sustainability, MDPI, vol. 16(6), pages 1-21, March.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:6:p:2458-:d:1357837
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/6/2458/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/6/2458/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yang Zou & Shuliang Zou & Changming Niu, 2018. "The Optimization of Emergency Evacuation from Nuclear Accidents in China," Sustainability, MDPI, vol. 10(8), pages 1-7, August.
    2. Huifang Miao & Guoming Zhang & Peizhao Yu & Chunsen Shi & Jianxiang Zheng, 2023. "Dynamic Dose-Based Emergency Evacuation Model for Enhancing Nuclear Power Plant Emergency Response Strategies," Energies, MDPI, vol. 16(17), pages 1-21, August.
    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. Seunghyun Choi & Jonggil Chae & Myungsik Do, 2022. "Emergency Road Network Determination for Seoul Metropolitan Area," Sustainability, MDPI, vol. 14(9), pages 1-19, April.
    2. Xingyu Xiao & Jingang Liang & Jiejuan Tong & Haitao Wang, 2024. "Emergency Decision Support Techniques for Nuclear Power Plants: Current State, Challenges, and Future Trends," Energies, MDPI, vol. 17(10), pages 1-35, May.
    3. Qi Liu & Jie Zhao & Youguo Shao & Libin Wen & Jianxu Wu & Dichen Liu & Yuhui Ma, 2019. "Multi-Power Joint Peak-Shaving Optimization for Power System Considering Coordinated Dispatching of Nuclear Power and Wind Power," Sustainability, MDPI, vol. 11(17), pages 1-23, September.
    4. Bo Chen & Zhicheng Li & Zaiyue Yang, 2022. "Nuclear Accident Emergency Response System: Radiation Field Estimation and Evacuation," Sustainability, MDPI, vol. 14(9), pages 1-18, May.
    5. Bongseok Kim & Hyeonmyeong Jeon & Bongsoo Son, 2020. "Evaluation of Evacuation Strategies According to the Travel Demand: The Case of Nuclear Research Reactor HANARO’s EPZ," Sustainability, MDPI, vol. 12(15), pages 1-12, July.

    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:jsusta:v:16:y:2024:i:6:p:2458-:d:1357837. 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.