Abstract: Highlights•Economics optimizing nonlinear dynamic MPC problems are considered.•Nonlinear dynamic control problems were converted to large scale NLP.•Sparse interior point solver was used in conjunction with automatic differentiation.•Case studies demonstrate superior economic performance of plant and computational performance of setup.
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