Benchmarking Performance Metrics of Methane Monitoring Technologies in Simulated Environments

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@article{1709947,
      author = {Semiu Temidayo Fasasi, Oluwapelumi Joseph Adebowale, Abdulmaliq Abdulsalam, Zamathula Queen Sikhakhane Nwokediegwu},
      title = {Benchmarking Performance Metrics of Methane Monitoring Technologies in Simulated Environments},
      journal = {Iconic Research And Engineering Journals},
      year = {2019},
      volume = {3},
      number = {3},
      pages = {193-202},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1709947.pdf},
      abstract = {Methane is a critical greenhouse gas whose effective monitoring is essential for climate mitigation and industrial safety. This paper presents a comprehensive benchmarking framework to evaluate the performance of methane monitoring technologies within controlled simulated environments. Key performance metrics including accuracy, detection limits, sensitivity, response time, reliability, and operational robustness are systematically assessed. The study compares diverse sensor types, ranging from high-precision optical sensors to cost-effective catalytic and semiconductor devices, and discusses their detection principles alongside inherent strengths and limitations. Standardized testing procedures and rigorous data analysis methods ensure reproducible and objective evaluation. The findings highlight important trade-offs between performance and operational factors, informing technology selection tailored to specific monitoring needs. This benchmarking effort supports improved methane detection practices, regulatory compliance, and the advancement of sensor innovation. Recommendations for future assessments emphasize integration of field validation, advanced analytics, and cross-sector collaboration to strengthen monitoring efficacy. Overall, this work contributes a foundational methodology for assessing methane monitoring technologies that can accelerate emission reduction efforts and support sustainable industrial operations.},
      keywords = {Methane Monitoring, Performance Benchmarking, Sensor Technologies, Detection Accuracy, Response Time, Operational Robustness},
      month = {September},
  }