reverse_osmosis: Reverse Osmosis Filter Trials
In lukedurell/mowater: Datasets for Data Science

Description Usage Format Source Examples

The reverse osmosis data set contains experiment data from a hydrokinetic reverse osmosis pilot study, which ran 11 experiments. During the beginning of each trial, the System Mode is set to fixed flux to acheive steady state conditions. Then, the System mode is changed to cycle feed pressure. To simulate the increase and decrease of pressure when non-continuous tidal energy is used to power the system, a sine wave is used to set the operating pressure between two values. There are two modes which cycle feed pressure: high and low. The system is controlled by a “feed pump” and a “reject value” which generates pressure across the membrane. Observations are collected every minute.

1	data(reverse_osmosis)

An object of class "data.frame" with 25844 rows and 23 variables. Operational variables are flow rate, temperature, pressure, and flux. Variables of interest are those that measure conductivity.

Dr. Kirby Sitterley in collaboration with the National Renewable Energy Laboratory and Dr. Tzahi Cath from the Department of Civil and Environmental Engineering at Colorado School of Mines.

#- conductivity
cols = c("yellow2", "turquoise4", "maroon4")
ts.plot(reverse_osmosis$reject_conductivity_ms,
ylim = c(0, 1000), main = "Conductivity", col = cols[1])
lines(reverse_osmosis$permeate_conductivity_low_us, col = cols[2])
lines(reverse_osmosis$permeate_conductivity_high_us, col = cols[3])
legend(2500, 1000, c("cond rej", "cond lo", "cond hi"),
col = cols, pch = "l", bg = "white")