Predictions of Urea Deposit Formation with CFD Using Autonomous Meshing and Detailed Urea Decomposition 2021-01-0590

Urea-water solution (UWS) injection combined with Selective Catalytic Reduction (SCR) has developed as an effective method of meeting EPA and EURO NOx emissions regulations for diesel engines. Urea/SCR systems encompass a wide range of engine sizes, from light duty vehicles to large ship or power generation engines. One key challenge faced by modern urea/SCR systems is the formation of solid deposits of urea decomposition by-products that are difficult to remove. These deposits are proven to be detrimental to urea/SCR systems by decreasing ammonia uniformity, clogging injector nozzles and increasing pressure drop of the whole system. Urea deposits only form in a narrow range of wall temperatures and take many minutes to hours to form. The decomposition of urea into deposits begins with the formation of biuret and then progresses into the crystalline species cyanuric acid (CYA), ammelide, and ammeline. Computational Fluid Dynamics (CFD) has the potential of predicting urea deposit formation provided the simulation time to achieve deposit formation can be shortened to a time-frame acceptable to modern design cycles. CONVERGE, an autonomous CFD meshing code used in this study, incorporates a detailed urea decomposition mechanism with Conjugate Heat Transfer (CHT) and spray-wall interaction models to predict wall temperatures with filming. The CFD code also takes advantage of the fixed flow approach to dramatically accelerate the flow and spray simulation to reach the time scale required for appreciable deposit formation. A urea deposit prediction approach is applied to model an exhaust system urea deposit experiment. Three operating points of differing exhaust temperatures and flow rates are evaluated with the CFD code. The three operating points represent temperatures that are below, within, and above the urea deposit formation temperature range. The results include predictions of exhaust pipe wall temperatures, film shape, and deposit composition.