Literature DB >> 30695644

Single-Blind Quantification of Natural Gas Leaks from 1 km Distance Using Frequency Combs.

Caroline B Alden, Sean C Coburn, Robert J Wright, Esther Baumann1, Kevin Cossel1, Edgar Perez1, Eli Hoenig1, Kuldeep Prasad2, Ian Coddington1, Gregory B Rieker.   

Abstract

A new method is tested in a single-blind study for detection, attribution, and quantification of methane emissions from the natural gas supply chain, which contribute substantially to annual U.S. emissions. The monitoring approach couples atmospheric methane concentration measurements from an open-path dual frequency comb laser spectrometer with meteorological data in an inversion to characterize emissions. During single-blind testing, the spectrometer is placed >1 km from decommissioned natural gas equipment configured with intentional leaks of controllable rate. Single, steady emissions ranging from 0 to 10.7 g min-1 (0-34.7 scfh) are detected, located, and quantified at three gas pads of varying size and complexity. The system detects 100% of leaks, including leaks as small as 0.96 g min-1 (3.1 scfh). It attributes leaks to the correct pad or equipment group (tank battery, separator battery, wellhead battery) 100% of the time and to the correct equipment (specific separator, tank, or wellhead) 67% of the time. All leaks are quantified to within 3.7 g min-1 (12 scfh); 94% are quantified to within 2.8 g min-1 (9 scfh). These tests are an important initial demonstration of the methodology's viability for continuous monitoring of large regions, with extension to other trace gases and industries.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 30695644     DOI: 10.1021/acs.est.8b06259

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  2 in total

1.  Precise multispecies agricultural gas flux determined using broadband open-path dual-comb spectroscopy.

Authors:  Daniel I Herman; Chinthaka Weerasekara; Lindsay C Hutcherson; Fabrizio R Giorgetta; Kevin C Cossel; Eleanor M Waxman; Gabriel M Colacion; Nathan R Newbury; Stephen M Welch; Brett D DePaola; Ian Coddington; Eduardo A Santos; Brian R Washburn
Journal:  Sci Adv       Date:  2021-03-31       Impact factor: 14.136

2.  Locating and Quantifying Methane Emissions by Inverse Analysis of Path-Integrated Concentration Data Using a Markov-Chain Monte Carlo Approach.

Authors:  Damien Weidmann; Bill Hirst; Matthew Jones; Rutger Ijzermans; David Randell; Neil Macleod; Arun Kannath; Johnny Chu; Marcella Dean
Journal:  ACS Earth Space Chem       Date:  2022-07-08       Impact factor: 3.556

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.