In this work, a simulation-based optimization framework is proposed to determine key decision variables that achieve the most appropriate design and operation of a NGL recovery unit. The approach consists on the integration of different software including the process simulator Aspen HYSYS® and MATLAB®. Aspen HYSYS® contains the high-resolution model of a conventional NGL recovery structure in steady state conditions while MATLAB® is the platform containing the optimization algorithm. Given the complexity of the problem, a differential evolution algorithm is employed for optimization. Results provide recommendations about dimensions and operating conditions to maintain the unit above its economic threshold. Additionally, a dynamic model of the resulting conventional structure permits to test different control structures. Dynamic controls are developed to ensure the smooth transition between the different optimal operating conditions. The main objective is to assess a control scheme capable of guaranteeing robustness and performance during operation.