Methodology and uncertainty estimation for measurements of methane leakage in a manufactured house

被引:0
|
作者
Karion, Anna [1 ]
Link, Michael F. [2 ]
Robertson, Rileigh [2 ,3 ]
Boyle, Tyler [1 ]
Poppendieck, Dustin [2 ]
机构
[1] NIST, Special Programs Off, Gaithersburg, MD 20899 USA
[2] NIST, Engn Lab, Gaithersburg, MD 20899 USA
[3] Univ Colorado, Coll Engn & Appl Sci, Boulder, CO 80302 USA
关键词
FORMALDEHYDE; RATES;
D O I
10.5194/amt-17-7065-2024
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Methane emissions from natural gas appliances and infrastructure within buildings have historically not been captured in greenhouse gas inventories, leading to under-estimates, especially in urban areas. Recent measurements of these post-meter emissions have indicated non-negligible emissions within residences, with impacts on both indoor air quality and climate. As a result, methane losses from residential buildings have been included in the latest US national inventory, with emission factors determined from a single study of homes in California. To facilitate future additional studies investigating building methane emissions, we conducted a controlled experiment to document a methodology for such measurements and estimated associated uncertainties. We determined whole-house methane emission rates with a mass balance approach using near-simultaneous measurements of indoor and outdoor methane mole fractions at a manufactured house. We quantified the uncertainty in whole-house methane emission rates by varying the forced outdoor air ventilation rate of the manufactured house, measuring the outdoor air change rate using both sulfur hexafluoride and carbon dioxide tracers, and performing methane injections at prescribed rates. We found that the whole-house quiescent methane emission rate (i.e., emission rate when all gas appliances were off) in the manufactured house averaged 0.33 g d-1 with methodological errors in the calculated emission rates of approximately 19 % (root-mean-square deviation). We also measured the quiescent leakage from the manufactured house over 3 months to find 26 % (1 sigma) variability in emissions over two seasons. Our findings can be used to inform plans for future studies quantifying indoor methane losses downstream of residential meters using similar methods. Such quantification studies are sorely needed to better understand building methane emissions and their drivers to inform inventories and plan mitigation strategies.
引用
收藏
页码:7065 / 7075
页数:11
相关论文
共 50 条
  • [31] Methodology to evaluate the uncertainty associated with nanoparticle dimensional measurements by SEM
    Crouzier, L.
    Delvallee, A.
    Allard, A.
    Devoille, L.
    Ducourtieux, S.
    Feltin, N.
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2019, 30 (08)
  • [32] Uncertainty in a monthly water balance model using the generalized likelihood uncertainty estimation methodology
    Diego Rivera
    Yessica Rivas
    Alex Godoy
    Journal of Earth System Science, 2015, 124 : 49 - 59
  • [33] Uncertainty in a monthly water balance model using the generalized likelihood uncertainty estimation methodology
    Rivera, Diego
    Rivas, Yessica
    Godoy, Alex
    JOURNAL OF EARTH SYSTEM SCIENCE, 2015, 124 (01) : 49 - 59
  • [34] Bayesian uncertainty estimation methodology applied to air pollution modelling
    Romanowicz, R
    Higson, H
    Teasdale, I
    ENVIRONMETRICS, 2000, 11 (03) : 351 - 371
  • [35] The effect of methodology on volumetric uncertainty estimation in static reservoir models
    Beucher, Helene
    Renard, Didier
    Doligez, Brigitte
    Pontiggia, Marco
    Bellentani, Giuseppe
    AAPG BULLETIN, 2008, 92 (10) : 1359 - 1371
  • [36] Uncertainty of Analytic Measurements: Classical and New Approaches to Estimation
    Miranovich-Kachur, S. A.
    Haiduk, M., V
    MEASUREMENT TECHNIQUES, 2019, 62 (05) : 402 - 409
  • [37] Estimation of Uncertainty in Wet Bulb Globe Temperature Measurements
    Jankovic, Srdjan
    Vulevic, Branislav
    Djokovic, Jelena
    INTERNATIONAL JOURNAL OF THERMOPHYSICS, 2023, 44 (09)
  • [38] Uncertainty Estimation in PM10 Mass Measurements
    Pokhariyal, J.
    Mandal, A.
    Aggarwal, S. G.
    MAPAN-JOURNAL OF METROLOGY SOCIETY OF INDIA, 2019, 34 (01): : 129 - 133
  • [39] Estimation of Uncertainty for Contour Method Residual Stress Measurements
    M. D. Olson
    A. T. DeWald
    M. B. Prime
    M. R. Hill
    Experimental Mechanics, 2015, 55 : 577 - 585
  • [40] Uncertainty Estimation in PM10 Mass Measurements
    Jyoti Pokhariyal
    Anubha Mandal
    Shankar G. Aggarwal
    MAPAN, 2019, 34 : 129 - 133