2020
DOI: 10.1002/ese3.661
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Numerical simulation and simplified calculation method for heat exchange performance of dry air cooler in natural gas pipeline compressor station

Abstract: In view of the complicated heat transfer calculation for air coolers and the difficulty of directly calculating the exit temperature of natural gas in a compressor station, taking the dry air cooler of model GP12 × 3-6-258-13.0S-S-23.4/DR-Ia configured in the West-East Natural Gas Pipeline II as an example, a three-dimensional simplified model of the air cooler is established. The model is used to simulate a temperature flow field of a dry air cooler-finned tube based on Fluent flow field analysis software. Th… Show more

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Cited by 41 publications
(16 citation statements)
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“…With recent advances in computational intelligence, many scholars have replaced traditional methods with new generated machine learning [6][7][8][9][10][11], deep learning [12][13][14][15][16][17], decision making [18,19], and artificial intelligence-based tools [20][21][22]. These novel approximation techniques are well employed in various engineering fields such as in evaluating environmental concerns [19,[23][24][25][26][27][28][29][30][31], implications for natural environmental management [32][33][34][35][36][37][38][39], water resources management [28,[40][41][42][43][44], natural gas consumption [45][46][47][48], energy efficiency [49][50]…”
Section: Background Of Artificial Intelligencementioning
confidence: 99%
“…With recent advances in computational intelligence, many scholars have replaced traditional methods with new generated machine learning [6][7][8][9][10][11], deep learning [12][13][14][15][16][17], decision making [18,19], and artificial intelligence-based tools [20][21][22]. These novel approximation techniques are well employed in various engineering fields such as in evaluating environmental concerns [19,[23][24][25][26][27][28][29][30][31], implications for natural environmental management [32][33][34][35][36][37][38][39], water resources management [28,[40][41][42][43][44], natural gas consumption [45][46][47][48], energy efficiency [49][50]…”
Section: Background Of Artificial Intelligencementioning
confidence: 99%
“…It is not involving consciousness and emotionality unlike the natural intelligence displayed by animals and humans [6][7][8][9]. A number of artificial intelligencebased examples are studied such as in the subjects of sustainability [10][11][12], water [13][14][15][16][17][18] and groundwater supply chains [19,20], quantifying climatic contributions [21][22][23][24], natural gas consumption [25][26][27][28][29][30][31][32], pan evaporation [33][34][35][36] and soil and landslide analysis studies [37][38][39], geographic information system-based studies [40][41][42][43][44], building and structural design analysis [45][46][47][48][49][50][51], measurement techniques [52]…”
Section: Introductionmentioning
confidence: 99%
“…1 At present, there are many problems in oil and gas pipelines, including the mechanism of oil mixing, flow noise, and particle deposition. [2][3][4][5][6][7][8][9][10] The energy consumption of the hot oil pipeline system is also the focus of many scholars' research. Through a lot of literature research, we can set the energy consumption of the pipeline system in the following two directions:…”
Section: Introductionmentioning
confidence: 99%
“…At present, there are many problems in oil and gas pipelines, including the mechanism of oil mixing, flow noise, and particle deposition 2‐10 . The energy consumption of the hot oil pipeline system is also the focus of many scholars' research.…”
Section: Introductionmentioning
confidence: 99%