Performance Analysis of Natural Gas, Cooling Technology at Air Force Bases

1998 ◽  
Author(s):  
William T. Brown ◽  
III
Keyword(s):  
Performance Analysis ◽  
Natural Gas ◽  
Air Force ◽  
Gas Cooling ◽  
Cooling Technology

Preliminary Orbital Performance Analysis of the Air Force Electric Propulsion Space Experiment (ESEX) Ammonia Arcjet

1999 ◽  
Author(s):  
J. M. Fife ◽  
J. R. LeDuc ◽  
A. M. Sutton ◽  
D. R. Bromaghim ◽  
L. K. Johnson
Keyword(s):  
Performance Analysis ◽  
Air Force ◽  
Electric Propulsion ◽  
Space Experiment

PERFORMANCE ANALYSIS OF THE SUPERCOMPUTER BASED ON RASPBERRY PI NODES

2021 ◽  
pp. 76-86
Author(s):  
Hai
Keyword(s):  
Performance Analysis ◽  
Energy Efficient ◽  
Multicore Processors ◽  
Electrical Power ◽  
Experimental Results ◽  
Raspberry Pi ◽  
Cooling Towers ◽  
Cluster Architecture ◽  
Cooling Technology ◽  
Almost All

In this paper, a new Raspberry PI supercomputer cluster architecture is proposed. Generally, to gain speed at petaflops and exaflops, typical modern supercomputers based on 2009-2018 computing technologies must consume between 6 MW and 20 MW of electrical power, almost all of which is converted into heat, requiring high cost for cooling technology and Cooling Towers. The management of heat density has remained a key issue for most centralized supercomputers. In our proposed architecture, supercomputers with highly energy-efficient mobile ARM processors are a new choice as it enables them to address performance, power, and cost issues. With ARM’s recent introduction of its energy-efficient 64-bit CPUs targeting servers, Raspberry Pi cluster module-based supercomputing is now within reach. But how is the performance of supercomputers-based mobile multicore processors? Obtained experimental results reported on the proposed approach indicate the lower electrical power and higher performance in comparison with the previous approaches.

scholarly journals Data Analysis and Model Validation of Natural Gas Transmission Pipeline With Compressor Station

2019 ◽  
Author(s):  
David Cheng
Keyword(s):  
Performance Analysis ◽  
Natural Gas ◽  
Model Validation ◽  
Measurement Data ◽  
Real Life ◽  
Gas Pipeline ◽  
Physical Parameters ◽  
Pressure Drops ◽  
Natural Gas Transmission ◽  
Transmission Pipeline

Abstract Data from the DCS systems provides important information about the performance and transportation efficiency of a gas pipeline with compressor stations. The pipeline performance data provides correction factors for compressors as part of the operation optimization of natural gas transmission pipelines. This paper presents methods, procedure, and a real life example of model validation based performance analysis of gas pipeline. Statistic methods are demonstrated with real gas pipeline measurement data. The methods offer practical ways to validate the pipeline hydraulics model using the DCS data. The validated models are then used as performance analysis tools in evaluating the fundamental physical parameters and assessing the pipeline hydraulics conditions for potential issues influencing pressure drops in the pipeline such as corrosion (ID change), roughness changes, or BSW deposition.

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