scholarly journals Sensitivity analysis in a simulated auto thermal Natural Gas reforming process

2008 ◽  
Vol 2 (1) ◽  
pp. 50
Author(s):  
H. Baloglu ◽  
G. Nasin Saygili
Keyword(s):  
Sensitivity Analysis ◽  
Natural Gas ◽  
Natural Gas Reforming

scholarly journals Electrical Damping Assessment and Sensitivity Analysis of a Liquefied Natural Gas Plant: Experimental Validation

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4084
Author(s):  
Lorenzo Bongini ◽  
Rosa Anna Mastromauro ◽  
Daniele Sgrò ◽  
Fabrizio Malvaldi
Keyword(s):  
Sensitivity Analysis ◽  
Control System ◽  
Natural Gas ◽  
Experimental Validation ◽  
Power Conversion ◽  
Liquefied Natural Gas ◽  
Fine Tuning ◽  
Simulation Platform ◽  
Electrical Damping ◽  
Conversion Stage

Liquefied Natural Gas (LNG) plants are commonly island-operated weak grids where the interaction of high-power Variable Frequency Drives (VFDs) with the Turbine-Generator (TG) units might cause Sub-Synchronous Torsional Interaction (SSTI) phenomena. SSTI phenomena can lead the LNG plant to instability conditions. Each LNG plant configuration is characterized by a risk level, which is considered high when the electrical damping at the TG Torsional Natural Frequencies (TNFs) is negative. Starting from a real case study, a detailed electromechanical model of an LNG plant is presented. The model is comprehensive of the control system of the power conversion stage and of the TG unit. Sensitivity analysis, performed on control system parameters, allows one to detect the parameters that impact the electrical damping and the stability of the overall LNG plant. A complete simulation platform is developed. Experimental results are carried out on a real LNG plant considering four different configurations. The theoretical model and the simulation platform allow one to estimate the electrical damping and the results are confirmed by the experimental validation. It is demonstrated that fine tuning of the power conversion stage control parameters can reduce the risk related to torsional instability.

Development of catalysts for natural gas reforming: Nickel-magnesia solid solution catalyst

1998 ◽  
Vol 24 (3) ◽  
pp. 259-271 ◽  
Author(s):  
Kaoru Fujimoto ◽  
Keiichi Tomishige ◽  
Osamu Yamazaki ◽  
Yangguang Chen ◽  
Xiao -Hong Li
Keyword(s):  
Solid Solution ◽  
Natural Gas ◽  
Natural Gas Reforming

Onboard Natural Gas Reforming for Heavy Duty Vehicles

2019 ◽  
Vol 12 (1) ◽  
pp. 45-56 ◽  
Author(s):  
Brian Weiss ◽  
Tilman W. Beutel ◽  
Bryan R. Chapman ◽  
Jonathan D. Saathoff ◽  
Shamel Merchant ◽  
...  
Keyword(s):  
Natural Gas ◽  
Heavy Duty ◽  
Natural Gas Reforming ◽  
Heavy Duty Vehicles

Sensitivity Analyses of NOx Formation in Micro-Pilot Ignited Natural Gas Engines

2004 ◽  
Author(s):  
Huateng Yang ◽  
S. R. Krishnan ◽  
K. K. Srinivasan ◽  
K. Clark Midkiff
Keyword(s):  
Sensitivity Analysis ◽  
Natural Gas ◽  
Relative Error ◽  
Reaction Rates ◽  
Sensitivity Analyses ◽  
Combustion Model ◽  
Valuable Insight ◽  
Nox Formation ◽  
Rate Limiting ◽  
Formation Paths

A sensitivity analysis of NOx formation in micro-pilot ignited natural gas dual fuel engines is performed based on a phenomenological combustion model. The model’s NOx formation mechanism incorporates a super-extended Zel’dovich mechanism (up to 43 reactions). The sensitivity analysis compares the contribution of each major reaction to NOx formation, and identifies the rate controlling NOx formation reactions. The formation rates for reactions involving NOx are also investigated to reveal the primary NOx formation paths. Results show that there are two main NOx formation paths both in the packets zone and the burned zone. The rate limiting reactions for the packets zone are identified as: O+N2=NO+NN2+HO2=NO+HNO Rate limiting reactions for the burned zone are: N2O+M=N2+O+MN2+HO2=NO+HNO Since the aforementioned reaction significantly influence the net NOx prediction, it is important that the corresponding reaction rates be determined fairly accurately. Finally, because the quasi-steady-state assumption is commonly used for certain species in NOx modeling, a transient relative error is estimated to evaluate its use. The relative error in NOx prediction with and without this assumption is of the order of 2 percent. Clearly, sensitivity analysis can provide valuable insight into understanding the possible NOx formation pathways in engines and improve the status of current prediction tools to obtain better estimates.

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