This paper discusses a public-domain model of a vinyl acetate (VAC) process. The VAC process is large enough to be representative in its essential features of many chemical processes. The process model contains 246 states, 26 manipulated variables, and 43 measurements. Parts of the model, e.g., the azeotropic distillation tower, are highly nonlinear. An earlier model of the same process was published, but it was implemented in proprietary software. Both the source code used to generate the results in this paper and a compiled version are available to the public, and the paper discusses how they can be obtained. The modeling approach used and differences from the earlier VAC model are discussed in detail. Simulations are presented that show the agreement with earlier results. The goal of the paper is to provide a readily available simulation that can be used as a test bed for advanced control approaches, such as plantwide control design and optimization, model predictive control, and process monitoring.