IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i9p3854-d1137293.html
   My bibliography  Save this article

Detection Stability Improvement of Near-Infrared Laser Telemetry for Methane Emission from Oil/Gas Station Using a Catadioptric Optical Receiver

Author

Listed:
  • Dai Geng

    (School of Mechanical Science and Engineering, Northeast Petroleum University, Daqing 163318, China)

  • Di Wang

    (School of Physics and Electronic Engineering, Northeast Petroleum University, Daqing 163318, China)

  • Yushuang Li

    (School of Physics and Electronic Engineering, Northeast Petroleum University, Daqing 163318, China)

  • Wei Zhou

    (School of Physics and Electronic Engineering, Northeast Petroleum University, Daqing 163318, China)

  • Hanbing Qi

    (School of Architecture and Civil Engineering, Northeast Petroleum University, Daqing 163318, China)

Abstract

Open-path laser telemetry of methane leakage yields security guarantees of energy storage and transportation for oil/gas station production operation. In order to further improve the long-term detection stability under the condition of long-distance non-cooperative targets, a catadioptric optical receiver (COR) consisting of a Fresnel lens, cone reflector and parabolic reflector is proposed to focus the laser echo light that deviates gradually with the increase in atmospheric turbulence. The geometric configuration parameters of COR are optimized by the ray-tracing method, and the condensing performance of COR is further verified. The self-developed methane laser telemetry system coupled with COR is calibrated in the laboratory and then moved to the field for a signal receiving stability experiment under turbulence interference. The results show that the receiving angle of COR increases 3.8 times compared with the Fresnel lens optical receiver (FOR). The RMSE and IS of the COR system are 0.00173 V and 84.79%, respectively. For comparison, these two evaluating indicators of the FOR system are 0.00288 V and 76.23%. This self-developed methane laser telemetry system coupled with COR is feasible for improving the long-term detection stability of remote leakage monitoring in oil/gas stations.

Suggested Citation

  • Dai Geng & Di Wang & Yushuang Li & Wei Zhou & Hanbing Qi, 2023. "Detection Stability Improvement of Near-Infrared Laser Telemetry for Methane Emission from Oil/Gas Station Using a Catadioptric Optical Receiver," Energies, MDPI, vol. 16(9), pages 1-16, April.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:9:p:3854-:d:1137293
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/9/3854/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/9/3854/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Heydarzadeh, Zahra & Mac Kinnon, Michael & Thai, Clinton & Reed, Jeff & Brouwer, Jack, 2020. "Marginal methane emission estimation from the natural gas system," Applied Energy, Elsevier, vol. 277(C).
    2. Cabral, Diogo, 2022. "Development and performance comparison of a modified glazed CPC hybrid solar collector coupled with a bifacial PVT receiver," Applied Energy, Elsevier, vol. 325(C).
    3. Wang, Jingfan & Ji, Jingwei & Ravikumar, Arvind P. & Savarese, Silvio & Brandt, Adam R., 2022. "VideoGasNet: Deep learning for natural gas methane leak classification using an infrared camera," Energy, Elsevier, vol. 238(PB).
    4. Xu, Ning & Ji, Jie & Sun, Wei & Huang, Wenzhu & Li, Jing & Jin, Zhuling, 2016. "Numerical simulation and experimental validation of a high concentration photovoltaic/thermal module based on point-focus Fresnel lens," Applied Energy, Elsevier, vol. 168(C), pages 269-281.
    5. Anita Konieczna & Kamil Roman & Kinga Borek & Emilia Grzegorzewska, 2021. "GHG and NH 3 Emissions vs. Energy Efficiency of Maize Production Technology: Evidence from Polish Farms; a Further Study," Energies, MDPI, vol. 14(17), pages 1-16, September.
    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. Ruitong Yang & Fuqiang Wang & Zhonghao Rao & Chao Shen & Dong Li, 2024. "Advancing Sustainable Energy Solutions: Innovations in Clean Energy Applications and Conventional Energy Efficiency Upgrade," Energies, MDPI, vol. 17(10), pages 1-4, May.

    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. Song, Zhiying & Ji, Jie & Cai, Jingyong & Zhao, Bin & Li, Zhaomeng, 2021. "Investigation on a direct-expansion solar-assisted heat pump with a novel hybrid compound parabolic concentrator/photovoltaic/fin evaporator," Applied Energy, Elsevier, vol. 299(C).
    2. Anita Konieczna & Kamila Mazur & Adam Koniuszy & Andrzej Gawlik & Igor Sikorski, 2022. "Thermal Energy and Exhaust Emissions of a Gasifier Stove Feeding Pine and Hemp Pellets," Energies, MDPI, vol. 15(24), pages 1-17, December.
    3. Chen, Haifei & Li, Guiqiang & Zhong, Yang & Wang, Yunjie & Cai, Baorui & Yang, Jie & Badiei, Ali & Zhang, Yang, 2021. "Exergy analysis of a high concentration photovoltaic and thermal system for comprehensive use of heat and electricity," Energy, Elsevier, vol. 225(C).
    4. Alexandros Vouros & Emmanouil Mathioulakis & Elias Papanicolaou & Vassilis Belessiotis, 2023. "Computational Modeling of a Small-Scale, Solar Concentrating Device Based on a Fresnel-Lens Collector and a Flat Plate Receiver with Cylindrical Channels," Energies, MDPI, vol. 16(2), pages 1-21, January.
    5. Diogo Cabral & Abolfazl Hayati & João Gomes & Hossein Afzali Gorouh & Pouriya Nasseriyan & Mazyar Salmanzadeh, 2023. "Experimental Electrical Assessment Evaluation of a Vertical n-PERT Half-Size Bifacial Solar Cell String Receiver on a Parabolic Trough Solar Collector," Energies, MDPI, vol. 16(4), pages 1-21, February.
    6. Lu Li & Huaiqiang Liu & Taogetao Baoyin, 2022. "Mowing Increases Root-to-Shoot Ratio but Decreases Soil Organic Carbon Storage and Microbial Biomass C in a Semiarid Grassland of North China," Agriculture, MDPI, vol. 12(9), pages 1-15, August.
    7. Emmanouil Tziolas & Stefanos Ispikoudis & Konstantinos Mantzanas & Dimitrios Koutsoulis & Anastasia Pantera, 2022. "Economic and Environmental Assessment of Olive Agroforestry Practices in Northern Greece," Agriculture, MDPI, vol. 12(6), pages 1-15, June.
    8. Qiu, Huichong & Liu, Hui & Xia, Qi & Lin, Zihan & Chen, Chen, 2024. "A spectral splitting CPV/T hybrid system based on wave-selecting filter coated compound parabolic concentrator and linear Fresnel reflector concentrator," Renewable Energy, Elsevier, vol. 226(C).
    9. Niu, Wente & Lu, Jialiang & Sun, Yuping & Zhang, Xiaowei & Li, Qiaojing & Cao, Xu & Liang, Pingping & Zhan, Hongming, 2024. "Techno-economic integration evaluation in shale gas development based on ensemble learning," Applied Energy, Elsevier, vol. 357(C).
    10. Song, Zhiying & Ji, Jie & Zhang, Yuzhe & Cai, Jingyong & Li, Zhaomeng, 2022. "Comparative study on dual-source direct-expansion heat pumps based on different composite concentrating photovoltaic/fin evaporators," Applied Energy, Elsevier, vol. 306(PB).
    11. Stanisław Bielski & Renata Marks-Bielska & Paweł Wiśniewski, 2022. "Investigation of Energy and Economic Balance and GHG Emissions in the Production of Different Cultivars of Buckwheat ( Fagopyrum esculentum Moench): A Case Study in Northeastern Poland," Energies, MDPI, vol. 16(1), pages 1-24, December.
    12. Giulio Mangherini & Valentina Diolaiti & Paolo Bernardoni & Alfredo Andreoli & Donato Vincenzi, 2023. "Review of Façade Photovoltaic Solutions for Less Energy-Hungry Buildings," Energies, MDPI, vol. 16(19), pages 1-35, September.
    13. Lv, Yaya & Han, Xinyue & Chen, Xu & Yao, Yiping, 2023. "Maximizing energy output of a vapor chamber-based high concentrated PV-thermoelectric generator hybrid system," Energy, Elsevier, vol. 282(C).
    14. Zhang, Gaoming & Wei, Jinjia & Wang, Zexin & Xie, Huling & Xi, Yonghao & Khalid, Muhammad, 2019. "Investigation into effects of non-uniform irradiance and photovoltaic temperature on performances of photovoltaic/thermal systems coupled with truncated compound parabolic concentrators," Applied Energy, Elsevier, vol. 250(C), pages 245-256.
    15. Xianguo Ren & Haiqing Tian & Kai Zhao & Dapeng Li & Ziqing Xiao & Yang Yu & Fei Liu, 2022. "Research on pH Value Detection Method during Maize Silage Secondary Fermentation Based on Computer Vision," Agriculture, MDPI, vol. 12(10), pages 1-17, October.
    16. Deka, Manash Jyoti & Kamble, Akash Dilip & Das, Dudul & Sharma, Prabhakar & Ali, Shahadath & Kalita, Paragmoni & Bora, Bhaskor Jyoti & Kalita, Pankaj, 2024. "Enhancing the performance of a photovoltaic thermal system with phase change materials: Predictive modelling and evaluation using neural networks," Renewable Energy, Elsevier, vol. 224(C).
    17. Qu, Wanjun & Hong, Hui & Li, Qiang & Xuan, Yimin, 2018. "Co-producing electricity and solar syngas by transmitting photovoltaics and solar thermochemical process," Applied Energy, Elsevier, vol. 217(C), pages 303-313.
    18. Yin, Ershuai & Li, Qiang & Xuan, Yimin, 2019. "Feasibility analysis of a concentrating photovoltaic-thermoelectric-thermal cogeneration," Applied Energy, Elsevier, vol. 236(C), pages 560-573.
    19. Singhy, Arvind & Thakur, Robin & Kumar, Raj, 2021. "Experimental analysis for co-generation of heat and power with convex lens as SOE and linear Fresnel Lens as POE using active water stream," Renewable Energy, Elsevier, vol. 163(C), pages 740-754.
    20. Bi, Yubo & Wu, Qiulan & Wang, Shilu & Shi, Jihao & Cong, Haiyong & Ye, Lili & Gao, Wei & Bi, Mingshu, 2023. "Hydrogen leakage location prediction at hydrogen refueling stations based on deep learning," Energy, Elsevier, vol. 284(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:16:y:2023:i:9:p:3854-:d:1137293. 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.