Journal of Applied Sciences1812-56541812-5662Asian Network for Scientific Information10.3923/jas.2009.3027.3033YusoffN. RamasamyM. 122009917This study proposes an integrated framework of scheduling and Real-Time Optimization (RTO) of a Refrigerated Gas Plant (RGP). At the top layer, a high fidelity dynamic model of RGP is subjected to scheduling of plant operating mode from natural gas liquids to sales gas and vice-versa. Set points from mode scheduling are passed down to the steady-state RTO layer. Modeling mismatch is minimized by rigorously exchanging values of key variables between dynamic and steady-state models. Optimal trajectories of set points are obtained using sequential quadratic programming algorithm with constraints. These trajectories are disjointedly implemented by Model Predictive Control (MPC) scheme and Proportional-Integral (PI) controllers for comparison. Four case studies for each mode scheduling are performed to illustrate efficacy of the proposed approach.]]>Bullin, K.A.,1999Floudas, C.A. and X. Lin,2004Mendez, C.A., J. Cerda, I.E. Grossmann, I. Harjunkoski and M. Fahl,2006Chatzidoukas, C., J.D. Perkins, E.N. Pistikopoulos and C. Kiparissides,2003Kadam, J., B. Srinivasan, D. Bonvin and W. Marquardt,2007Chamberlain, R.M. and M.J.D. Powell,1982Yusoff, N., M. Ramasamy and S. Yusup,2007Tatjewski, P.,2008Yusoff, N., M. Ramasamy and S. Yusup,2008Huang, H. and J.B. Riggs,2002Ferrer-Nadal, S., I. Yelamos-Ruiz, M. Graells and L. Puigjaner,2007