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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
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    References listed on IDEAS

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    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.
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    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 1-3, May.

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