IM 2019 April 19 | Seite 54

PASTE SUPPLEMENT 2019 Paste process stability Outotec’s ACT Thickener Optimizer system at Yara has helped maintain process stability Background of the project In 2015, Yara awarded Outotec the contract for a full scale paste tailings plant at Siilinjärvi as an engineering, procurement and construction (EPC) project. This paste plant delivered by Outotec increases tailings solids content, improves tailings beaching properties and extends the capacity and lifetime of the existing tailings storage facility. The paste plant has been operational since February 2017. As part of the overall project, Outotec also designed and delivered an optimising control system for the two paste thickeners at the tailings plant. This case study discusses the control application, its challenges and results following implementation at Yara. The new plant’s objective was to achieve a 68-70% solids underflow and at least two degree (3.5%) beach slopes, extending the tailings pond lifespan from 2020 to 2035. Factors such as the plant’s changing mineralogy and tailings feed fluctuations make it challenging to reach these solids underflow and beach slopes targets. It was determined that many of these challenges could be overcome with adequate process instrumentation and state-of-the-art control techniques. Solids content variability (measured value is green, target value is blue). Actual Jun-Aug 2017 Challenges for process control 1. Varying mineralogy – Siilinjärvi’s tailings sand rheology varies significantly on a daily basis. The overall tailings sand mineralogical composition is apatite (1%, variation 0.7- 10%), calcite and dolomite (20%, 10-35% variation), phologopite mica (74%, 60-85% variation) and other silicates (5%, 1-10% variation). In particular, the high content of coarse, flake-like mica strongly influences both thickening and pumping performance 2. Milling circuits –The mills operate with 24- hour homogenisation stockpiles, where the incoming ore type varies from one pile to P2 International Mining | APRIL 2019 Supplement another. In addition, each milling section has to be shut down for 1-2 hour periods each week to charge the new rods. This reduces the paste plant input mass flow remarkably, causing feed disturbances. 3. Paste plant location – The paste plant is 6.6 km from the main concentrator plant. Currently, Yara is operating the paste plant unmanned, so that there are no permanent operators at the paste plant. Multivariable control algorithm The thickener control application uses the Model Predictive Control (MPC) algorithm. MPC is an advanced process control method which is considered a standard method for control processes with a multivariable character and complex response dynamics. MPC control is based on the process response models, which are typically obtained by performing process trials or simulating the process responses. System structure The new system implemented at Yara, the ACT Thickener Optimizer, is based on Outotec’s proven Advanced Control Tools (ACT) platform. This platform is a dedicated environment developed especially for advanced process control solutions. In the Yara paste plant project, a high level of system integration was desired. The controller user interface, alarms, interlockings, history data and documentation were therefore all implemented into the customer DCS, giving operators full functionality from the interface also used for plant control. The ACT Thickener Optimizer system also included a remote connection to the Outotec network, so that the controller performance monitoring, tuning, and support could also be performed remotely. Controller setup The controlled variables in the optimising system are, underflow density [kg/m 3 ], overflow solids content [%], bed mass [%], bed level [m] and rake torque [%]. Underflow density was selected as a primary control variable, which has a precise target value and the highest priority during normal operation. Overflow solids is the second most important variable. Overall, the system should run with minimal flocculant dosage to minimise plant operating costs. Operational results The ACT Thickener Optimizer has been in use at the Yara paste plant since May 2017. Experiences have been good, and operators have adopted the controls well in their daily toolkit. Since start-up, the controls have been in continuous use. It is only during exceptional situations such as underflow line flushing or maintenance work that manual operations are needed. Overall, the controls usage rates have been over 92%. The basic operating principle is to run the system with the highest possible density that still ensures trouble-free pumping. In practice, this means the operator adjusts the density target value in accordance with the observed pumping behaviour and the discharged slurry visuals. As the paste plant is operating very close to the corner point in the solids content vs. yield stress curve, even a very small 10-20 kg/m 3 change in density makes a remarkable difference in pumping resistance. One of the Yara paste key targets was continuous operation with 68-70% underflow solids content. As seen from site trend lines (June-Aug 2017), the actual operating window of both thickeners is 66–68%. Actual operating values are slightly lower than original targets due to the fact the targeted beach slopes are exceeded already with this operating range, so no requirement for higher solids content. Since the paste plant started up in February 2017, it has delivered a consistent performance level. Now, after two years of operation the plant availability has been the same at over 97%. Underflow solids content is kept continuously on the required operating window, and the achieved average beach slope angles are over 3.5°. Average solids content in February-November 2017 has been 67.5% and the overall solids content operating range 66–69%. The main variation comes from density setpoint changes done by the operator. In the below figure, the solids content target value calculated from the actual density target is shown as a blue line, and the measured value with a green line. One of control system’s benefits is the reduced overall 10-20% flocculant consumption. Since overall tonnage is high, this means remarkable savings in plant operating costs. Since autumn 2018, Yara has operated the paste plant unmanned, with no permanent operators. Operators only visit the plant to do some routine checks and maintenance. IM