ENV-14-5 DESIGNING STORMWATER SYSTEMS THAT OPTIMIZE ROI AND MINIMIZE RISK

Description:

This paper presents the results of a stochastic model that is developed to simulate PCS system performance from potential storm events at a new cracker and chemicals expansion project to be built by Sasol in Lake Charles, LA. Historical weather data coupled with a Monte Carlo modeling techniques and a linear-program flow solver are used to predict the durations and concentrations of overflow events over a 300-year simulated period. By performing sensitivity analyses on the system size, operational rules and contamination level, engineering and management can better understand the PCS system and potential benefits and risks associated with various system sizes.