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Development of Methane Emissions Model to Assess Fuel Recovery Potential at Gas Well Sites Using on Site Compression.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Development of Methane Emissions Model to Assess Fuel Recovery Potential at Gas Well Sites Using on Site Compression./
作者:	Lindenfeldar, Nicholas G.
面頁冊數:	1 online resource (93 pages)
附註:	Source: Masters Abstracts International, Volume: 84-05.
Contained By:	Masters Abstracts International84-05.
標題:	Government agencies. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29731030click for full text (PQDT)
ISBN:	9798352979419

Development of Methane Emissions Model to Assess Fuel Recovery Potential at Gas Well Sites Using on Site Compression.
Lindenfeldar, Nicholas G.

Development of Methane Emissions Model to Assess Fuel Recovery Potential at Gas Well Sites Using on Site Compression. - 1 online resource (93 pages)

Source: Masters Abstracts International, Volume: 84-05.

Thesis (M.Sc.)--West Virginia University, 2022.

Includes bibliographical references

The US natural gas production and consumption has increased 85.5% since 2005 primarily due to the unconventional production methods of horizontal drilling and hydraulic fracturing. Natural gas used as a fuel has a lower greenhouse gas (GHG) footprint than coal and petroleum due to lower Carbon Dioxide (CO2) emissions when combusted. However, the "greener" benefit to natural gas may be consumed by leaks in production and transmission systems. Methane (CH4), the primary hydrocarbon in natural gas, has an estimated Global Warming Potential (GWP) of 28-36 over 100 years, meaning it can absorb 28-36 more energy than CO2 which has a GWP of 1.0. Natural gas well sites are prone to methane emissions, or leaks and irregular gas releases, vented to atmosphere throughout production and transmission.The U.S. Department of Energy (DOE) and the National Energy Technology Laboratory (NETL) has recently granted West Virginia University (WVU) funding under agreement DE-FOA-0002005, to "Advance technologies to mitigate methane emissions and increase the efficiency of the natural gas transportation infrastructure". As part of this funding WVU was tasked with identifying and quantifying sources of methane emission at unconventional well sites, processing this data, and developing a system to recapture these emissions.A 0-D Simulink model was developed, utilizing standardized methodologies, data from previously conducted studies, as well as collected data from well sites in the Marcellus shale play region. The model was developed to predict emission rates from various components at natural gas well sites as well as the potential to utilize these emissions as fuel for the natural gas powered compressor engines on-site. This model was utilized to run high medium and low cases for 4 identified emission sources, engine size, pneumatic controller count, liquid level production which dictates tank emissions, and compressor packing vent emissions. Due to discrepancies in transient tank emission data, a high and low emission factor for tanks was used, resulting in two sets of 81 executed cases, and 162 unique cases of total site emissions and potential for fuel consumption.Each of the cases were run over 86,400 seconds at a 1 Hz, representative of a full 24 hour day. The fuel consumption offset an average of 557% of fuel consumption on an energy density basis across all 81 cases with the high tank emission factor with a maximum offset of 2334%. The fuel consumption offset was an average of 82.9% for all 81 cases with the low tank emission factor with a maximum offset of 337%. This study highlights flaws in the use of publicly available methane number calculations to determine natural gas's suitability as an engine fuel as well as the lack of public data for transient liquid storage tank emissions.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798352979419Subjects--Topical Terms:

3562805
Government agencies.
Index Terms--Genre/Form:

542853
Electronic books.

Development of Methane Emissions Model to Assess Fuel Recovery Potential at Gas Well Sites Using on Site Compression.
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100 1 $a Lindenfeldar, Nicholas G. $3 3700189
245 1 0 $a Development of Methane Emissions Model to Assess Fuel Recovery Potential at Gas Well Sites Using on Site Compression.
264 0 $c 2022
300 $a 1 online resource (93 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 84-05.
500 $a Advisor: Huebsch, Wade; Nix, Andrew; Johnson, Derek.
502 $a Thesis (M.Sc.)--West Virginia University, 2022.
504 $a Includes bibliographical references
520 $a The US natural gas production and consumption has increased 85.5% since 2005 primarily due to the unconventional production methods of horizontal drilling and hydraulic fracturing. Natural gas used as a fuel has a lower greenhouse gas (GHG) footprint than coal and petroleum due to lower Carbon Dioxide (CO2) emissions when combusted. However, the "greener" benefit to natural gas may be consumed by leaks in production and transmission systems. Methane (CH4), the primary hydrocarbon in natural gas, has an estimated Global Warming Potential (GWP) of 28-36 over 100 years, meaning it can absorb 28-36 more energy than CO2 which has a GWP of 1.0. Natural gas well sites are prone to methane emissions, or leaks and irregular gas releases, vented to atmosphere throughout production and transmission.The U.S. Department of Energy (DOE) and the National Energy Technology Laboratory (NETL) has recently granted West Virginia University (WVU) funding under agreement DE-FOA-0002005, to "Advance technologies to mitigate methane emissions and increase the efficiency of the natural gas transportation infrastructure". As part of this funding WVU was tasked with identifying and quantifying sources of methane emission at unconventional well sites, processing this data, and developing a system to recapture these emissions.A 0-D Simulink model was developed, utilizing standardized methodologies, data from previously conducted studies, as well as collected data from well sites in the Marcellus shale play region. The model was developed to predict emission rates from various components at natural gas well sites as well as the potential to utilize these emissions as fuel for the natural gas powered compressor engines on-site. This model was utilized to run high medium and low cases for 4 identified emission sources, engine size, pneumatic controller count, liquid level production which dictates tank emissions, and compressor packing vent emissions. Due to discrepancies in transient tank emission data, a high and low emission factor for tanks was used, resulting in two sets of 81 executed cases, and 162 unique cases of total site emissions and potential for fuel consumption.Each of the cases were run over 86,400 seconds at a 1 Hz, representative of a full 24 hour day. The fuel consumption offset an average of 557% of fuel consumption on an energy density basis across all 81 cases with the high tank emission factor with a maximum offset of 2334%. The fuel consumption offset was an average of 82.9% for all 81 cases with the low tank emission factor with a maximum offset of 337%. This study highlights flaws in the use of publicly available methane number calculations to determine natural gas's suitability as an engine fuel as well as the lack of public data for transient liquid storage tank emissions.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Government agencies. $3 3562805
650 4 $a Volatile organic compounds--VOCs. $3 3683745
650 4 $a Hydrocarbons. $3 697428
650 4 $a Greenhouse gases. $3 797971
650 4 $a Permeability. $3 915594
650 4 $a Piston rings. $3 3700190
650 4 $a Atmospheric pressure. $3 3686417
650 4 $a Carbon dioxide. $3 587886
650 4 $a Heating. $3 775819
650 4 $a Hydrogen. $3 580023
650 4 $a Hydraulic fracturing. $3 2045799
650 4 $a Energy. $3 876794
650 4 $a Environmental protection. $3 527617
650 4 $a Engines. $3 645402
650 4 $a Ventilation. $3 776587
650 4 $a Natural gas reserves. $3 607335
650 4 $a Onsite. $3 3690306
650 4 $a Atmospheric sciences. $3 3168354
650 4 $a Civil engineering. $3 860360
650 4 $a Environmental health. $3 543032
650 4 $a Hydraulic engineering. $3 613609
650 4 $a Petroleum engineering. $3 566616
650 4 $a Political science. $3 528916
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0791
690 $a 0725
690 $a 0543
690 $a 0501
690 $a 0470
690 $a 0218
690 $a 0765
690 $a 0615
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a West Virginia University. $3 1017532
773 0 $t Masters Abstracts International $g 84-05.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29731030 $z click for full text (PQDT)

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