نویسندگان | Javad Mousavi, Mehdi Parvini |
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نشریه | Journal of Hydrogen Energy |
نوع مقاله | Full Paper |
تاریخ انتشار | 2016/3/9 |
رتبه نشریه | ISI |
نوع نشریه | چاپی |
کشور محل چاپ | بریتانیا |
چکیده مقاله
Sensitivity analysis studies how the output variables are affected by input variables of a statistical model. In other words, this model systematically changes the inputs of a statistical model so that the effects can be predicted in the output. Using this method, the effect of different variables including key variables in the model was determined. In this project, 9 independent variables were evacuated for sensitivity analysis of hydrogen release in the environment. These variables are divided into process variables (supply temperature, pressure, leakage diameter, and height of release point) and environmental variables (temperature, wind speed, pressure, humidity and surface roughness). In this study, fractional factorial experiment design 2 IV 9− 3 and analysis of variance were used to specify the conditions of different scenarios and statistical analysis of results for 68 scenarios, respectively. All results were examined in …