DATASET: Belle Ayr Liquefaction Runs

In shafayetShafee/datapackage: Two datasets

Description

A dataset containing 27 runs presenting performance of a chemical process (CO2 production) as a function of several controllable process variables. There are Eight variables giving information on 27 runs. So there are 27 rows and 9 columns in the dataset.

Usage

DATASET

Format

A data frame with 27 rows and 9 variables:

runs

Run No.

co2

CO_2 produced

time

space time, in min

temp

Temperature, in Degree celcius

perc

Percent Solvation

oil

Oil Yield (g/100g MAF)

coal

Coal Total

solvent

Solvent Total

h2

Hydrogen Consumption

Source

Montgomery, D.C., Peck, E.A., and Vining, C.G. (2001) Introduction to Linear Regression Analysis. 3rd Edition, John Wiley and Sons.

References

(1978) Belle Ayr Liquefaction Runs with Solvent. Industrial Chemical Process Design Development, 17, 3

shafayetShafee/datapackage documentation built on Dec. 23, 2021, 1:17 a.m.