Atmospheric Methane Concentration Allows Estimating Natural Gas Leaks in Heating Systems in Tandil, Argentina

2019 ◽  
Vol 48 (3) ◽  
pp. 762-769
Author(s):  
Victoria S. Fusé ◽  
José I. Gere ◽  
Daiana Urteaga ◽  
M. Paula Juliarena ◽  
Sergio A. Guzmán ◽  
...  
2021 ◽  
Vol 2021 (9) ◽  
Author(s):  
V.I. Grigorievsky ◽  
◽  
V.P. Sadovnikov ◽  
A.V. Elbakidze ◽  
◽  
...  

Local path measurements of the background methane concentration in the northeast of the Moscow Region were carried out using a remote active lidar based on a powerful Raman amplifier of optical radiation in the wavelength range of ~ 1650 nm. The radiation power in the pulse was about 3 W. The trasses were selected taking into account possible anomalous deviations of the background of atmospheric methane and included forests, gasified buildings with natural gas, a peat lake, a road with heavy traffic, a livestock farm and a solid waste landfill. The length of the distances ranged from ~ 0.6 km to ~ 3.15 km. The highest background concentration of methane was observed over a livestock farm, over a highway and a solid waste landfill, which confirms the fact of an increase in gas emissions over these facilities. Also higher methane levels were observed above of the gasified homes and the heavy traffic road, indicating a possible increase in the number of vehicles using methane as fuel and a possible leak of natural gas from pipelines supplying buildings with natural gas.


2021 ◽  
Author(s):  
Eric Saboya ◽  
Giulia Zazzeri ◽  
Heather Graven ◽  
Alistair J. Manning ◽  
Sylvia Englund Michel

<p>Assessment of bottom-up greenhouse gas emissions estimates through independent methods is needed to demonstrate whether reported values are accurate or if bottom-up methodologies need to be refined. Previous studies of measurements of atmospheric methane (CH<sub>4</sub>) in London revealed that inventories substantially underestimated the amount of natural gas CH<sub>4</sub><sup> 1,2</sup>. We report atmospheric CH<sub>4</sub> concentrations and δ<sup>13</sup>CH<sub>4</sub> measurements from Imperial College London since early 2018 using a Picarro G2201-i analyser. Measurements from Sept. 2019-Oct. 2020 were compared to the values simulated using the dispersion model NAME coupled with the UK national atmospheric emissions inventory, NAEI, and the global inventory, EDGAR, for emissions outside the UK. Simulations of CH<sub>4</sub> concentration and δ<sup>13</sup>CH<sub>4</sub> values were generated using nested NAME back-trajectories with horizontal spatial resolutions of 2 km, 10 km and 30 km. Observed concentrations were underestimated in the simulations by 22 % for all data, and by 16 % when using only 13:00-17:00 data. There was no correlation between the measured and simulated δ<sup>13</sup>CH<sub>4</sub> values. On average, simulated natural gas mole fractions accounted for 28 % of the CH<sub>4 </sub>added by regional emissions, and simulated water sector mole fractions accounted for 32 % of the CH<sub>4</sub>added by regional emissions. To estimate the isotopic source signatures for individual pollution events, an algorithm was created for automatically analysing measurement data by using the Keeling plot approach. Nearly 70 % of isotopic source values were higher than -50 ‰, suggesting the primary CH<sub>4 </sub>sources in London are natural gas leaks. The model-data comparison of δ<sup>13</sup>CH<sub>4 </sub>and Keeling plot results both indicate that emissions due to natural gas leaks in London are being underestimated in the UK NAEI and EDGAR.</p><p> </p><p><sup>1 </sup>Helfter, C. et al. (2016), Atmospheric Chemistry and Physics, 16(16), pp. 10543-10557</p><p><sup>2</sup> Zazzeri, G. et al. (2017), Scientific Reports, 7(1), pp. 1-13</p>


2021 ◽  
Author(s):  
Eric Saboya ◽  
Giulia Zazzeri ◽  
Heather Graven ◽  
Alistair J. Manning ◽  
Sylvia Englund Michel

Abstract. Assessment of bottom-up greenhouse gas emissions estimates through independent methods is needed to demonstrate whether reported values are accurate or if bottom-up methodologies need to be refined. We report atmospheric methane (CH4) mole fractions and δ13CH4 measurements from Imperial College London since early 2018 using a Picarro G2201-i analyser. Measurements from March 2018 to October 2020 were compared to simulations of CH4 mole fractions and δ13CH4 produced using the NAME dispersion model coupled with the UK National Atmospheric Emissions Inventory, UK NAEI, and the global inventory, EDGAR, with model spatial resolutions of ~2 km, ~10 km, and ~25 km. Observed mole fractions were underestimated by 30–35 % in the NAEI simulations. In contrast, a good correspondence between observations and EDGAR simulations was seen. There was no correlation between the measured and simulated δ13CH4 values for either NAEI or EDGAR, however, suggesting the inventories’ sectoral attributions are incorrect. On average, natural gas sources accounted for 20–28 % of the above background CH4 in the NAEI simulations, and only 6–9 % in the EDGAR simulations. In contrast, nearly 84 % of isotopic source values calculated by Keeling plot analysis (using measurement data from the afternoon) of individual pollution events were higher than −45 ‰, suggesting the primary CH4 sources in London are actually natural gas leaks. The simulation-observation comparison of CH4 mole fractions suggests that total emissions in London are much higher than the NAEI estimate (0.04 Tg CH4 yr−1) but close to, or slightly lower than the EDGAR estimate (0.10 Tg CH4 yr−1). However, the simulation-observation comparison of δ13CH4 and the Keeling plot results indicate that emissions due to natural gas leaks in London are being underestimated in both the UK NAEI and EDGAR.


Methane ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 24-37
Author(s):  
Muhammad Alfiza Farhan ◽  
Yuichi Sugai ◽  
Nuhindro Priagung Widodo ◽  
Syafrizal Syafrizal

The leakage of methane from the subsurface on the coalfield or natural gas field invariably becomes an important issue nowadays. In notable addition, materials such as activated carbon, zeolites, and Porapak have been successfully identified as adsorbents. Those adsorbents could adsorb methane at atmospheric pressure and room temperature. Therefore, in this scholarly study, a new method using adsorbents to detect points of methane leakage that can cover a wide-scale area was developed. In the beginning, the most capable adsorbent should be determined by quantifying adsorbed methane amount. Furthermore, checking the possibility of adsorption in the column diffusion and desorption method of adsorbents is equally necessary. The most capable adsorbent was activated carbon (AC), which can adsorb 1.187 × 10−3 mg-CH4/g-AC. Hereinafter, activated carbon successfully can adsorb methane through column diffusion, which simulates the situation of on-site measurement. The specific amount of adsorbed methane when the initial concentrations of CH4 in a bag were 200 ppm, 100 ppm, and 50 ppm was found to be 0.818 × 10−3 mg-CH4/g-AC, 0.397 × 10−3 mg-CH4/g-AC, 0.161 × 10−3 mg-CH4/g-AC, respectively. Desorption of activated carbon analysis shows that methane concentration increases during an hour in the temperature bath under 80 °C. In conclusion, soil methane leakage points can be detected using activated carbon by identifying the observed methane concentration increase.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Begmyrat Kulmedov ◽  
Serdar Durdyev

PurposeThe aim of the present study is to assess the selected heating systems (furnace and boiler) commonly used in the dwellings of seven post-USSR (the Union of Soviet Socialist Republics) countries. The systems were assessed in terms of their cost and environmental performance, with natural gas and electricity used as the main source of energy.Design/methodology/approachThe cost-effectiveness and environmental performance of the selected heating systems that have been commonly used in the selected post-USSR countries was assessed. Current energy (natural gas and electricity) prices that are applied in those countries were used.FindingsResults show that the furnace is the cheapest option, while natural gas is the cheapest source of energy, despite its high price in Tajikistan and Kyrgyzstan. Both heating systems could be considered eco-friendly options, although their efficiencies need to be considered at the design stage. Turkmenistan, Uzbekistan and Kazakhstan, which are the top natural gas producers, offer natural gas for the selected heating systems as both cost-effective and eco-friendly options.Practical implicationsA considerable reduction in electricity consumption and less harm to our environment can be achieved through the systems used in residential buildings in the region.Originality/valueThe outcomes of the present study offer value (in terms of cost-effective and eco-friendly options) for the end-users in the region.


2018 ◽  
Vol 176 ◽  
pp. 261-273 ◽  
Author(s):  
Nancy P. Sanchez ◽  
Chuantao Zheng ◽  
Weilin Ye ◽  
Beata Czader ◽  
Daniel S. Cohan ◽  
...  

Author(s):  
W. Bai ◽  
W. D. Long

Taking three cities in China — Shanghai, Beijing and Chengdu — as examples, under different power price and natural gas price policies, and at the same output level, this paper compares Building Cooling Heating and Power system (BCHP) with the other four cooling/heating sources systems by economic analysis. This paper calculates Life Cycle Cost (LCC) of the five systems to determine which the best is and which the worst is. The author compares the LCC of power-driven cooling/heating systems with that of gas-driven systems especially when power users should pay the basic electricity cost according to the maximum power demand (MPD) or transformer capacity. This paper defines price ratio of electric power to natural gas, builds first-order linear regression equation of equivalent uniform annual cost (EUAC) ratio of BCHP to power-driven air source heat pump to calculate the feasible price ratio of electric power to natural gas. Accordingly, the author suggests that government should give preferential natural gas price subsidies policies to BCHP users.


1998 ◽  
Vol 37 (18) ◽  
pp. 3912 ◽  
Author(s):  
Thomas J. Kulp ◽  
Peter Powers ◽  
Randall Kennedy ◽  
Uta-Barbara Goers
Keyword(s):  

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