This pump selection process can optimize lead/lag time.
Engineered Software, Inc.
10/01/2018
When it comes to pumping systems that have varying demands, many engineers are hesitant to size the pump to less than the highest possible load. While this is certainly conservative from a flow standpoint, the downside is that additional costs are incurred to mitigate what might be a small risk. To assess that risk and make an informed decision, take a Monte Carlo approach, which can save considerable money. The Monte Carlo approach is a statistical method using an aggregation of separate probabilities to determine the resultant probability on the combined behavior. Random combinations of factors result in a consistent distribution curve. In a piping system, this method analyzes the varying system demands in both load and duty cycle.



To read more Pump System Improvement columns, click here.
Editor's note: Joseph Benefield is a member of Ray Hardee’s team at Engineered Software Inc.