RO Membrane Health & Normalized Data

The purpose of RO data collection and analysis is to understand the true condition (health) of the RO membranes and to help troubleshoot any potential problems before they become serious.

Normalized Data Factors

Normalized data factors in external factors that can affect membrane performance so you can compare apples to apples when reviewing normalized data. RO data that is normalized is then compared to a baseline (when the membranes were new, replaced or cleaned).

All of these operating conditions directly affect the quality and amount of permeate water that the RO membranes can produce. However, since these operating conditions are constantly changing, it is impossible to compare the observed performance of certain parameters at one point and compare them to another point under different operating conditions. Changing factors such as temperature, feed water quality, permeate flow and system recovery all has an effect on membrane performance.

Data that is not normalized can be misleading, as there are many variables that can cause changes that may appear to be problems when in fact they are not. Temperature of the feed water is the most noticeable condition affecting the performance of RO systems. The general rule of thumb is to estimate a permeate flow change of 1.5% per degree Fahrenheit (F˚). For example, if an RO produced 50 GPM of permeate when the feed water was 60 F˚ and later the feed water temperature dropped 5 F˚, then the RO would produce approximately 46 GPM. This 4 GPM drop in product is perfectly normal given the temperature drop.

Membrane Health

The following raw data is collected to determine the health of the RO membrane.

Feed Temp (°F)

Permeate Flow (GPM)

Concentrate Flow (GPM)

Feed Pressure (PSI)

Feed Conductivity

Permeate Conductivity

Concentrate Pressure (PSI)

Permeate Pressure (PSI)

Normalizing RO data allows the user to compare the performance of an RO membrane performance to a set standard which does not depend on changing operating conditions. Normalized data will measure the direct condition of the RO membrane and show the true performance and health of an RO membrane.

Data Interpretation

An RO operator is ultimately concerned about two outcomes: the quality and quantity of water being produced. As mentioned above, these two factors can be influenced by a number of variables such as feed water pressure, system recovery, and changes in feed water quality to name a few.

There are three calculated values which help give a better picture of true membrane performance and help accurately troubleshoot potential RO system problems involving the quantity and quality of water being produced by the RO system. By collecting operating data, normalizing the data and then trending the normalized data over time and comparing the values to a baseline (a baseline is considered the start-up values when the RO membranes are new or after they have been cleaned or replaced) you can proactively address any problems before irreversible damage to the RO membranes occur. The three calculated values to monitor and trend are Normalized Permeate Flow (NPF), Normalized Salt Rejection (NSR) and Normalized Pressure Differential (NPD)