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Mineral processing plants remain nowadays infamous for their low energy efficiency. Economic model predictive control (EMPC), by directly considering the energy costs, could possibly help reduce their footprint, but its environmental benefits are yet to be clearly quantified. In an attempt to cast some light on this topic, this paper compares the response to a given ore feed size and hardness disturbance sequence of an EMPC to that of basic and advanced regulatory control systems using the profits and the specific energy (power draw/ore feed rate) as metrics. The simulated circuit comprises a high-pressure grinding rolls (HPGR), a ball mill, and a flotation circuit. It is based on population balance modeling and is an extension of previous works. The basic regulatory control (BRC) system comprises only single-input–single-output control loops with proportional–integral (PI) controllers and operates at a fixed feed rate. The advanced regulatory control (ARC) system consists of PI controllers maximizing the plant feed rate with override constraint handling. The results show that (1) ARC generates more revenue and maintains a lower circuit specific energy consumption than BRC, (2) ARC can produce the same economic performance as EMPC because the constraints of the system define the economic optimum, and (3) EMPC can trade revenues for a lower circuit specific energy with a hybrid criterion that penalizes power draw. • The work compares different control systems on an HPGR grinding circuit. • A decentralized PI control system can generate equivalent revenues to an EMPC. • EMPC can trade revenues for a lower circuit specific energy. [ABSTRACT FROM AUTHOR]

This paper proposes a development to reformulate the fundamental equations of primary drying into a linear-based representation to support control design. The model is expressed by transfer functions with variable gains that incorporate analytical relations derived from a phenomenological model. The time constants denote the dynamics of the heating/cooling and vacuum systems. Compared to fundamental equations, this approach simplifies the development and implementation of well-established control algorithms. The quality of the proposed representation is illustrated in the design of a control system using two different strategies: model predictive control and a feedback controller with proportional-integral action. The simulation case study allows assessing the performance of both designs with regard to cycle time reduction and robustness under parametric disturbances. Results evidence that the proposed model is detailed enough to provide accuracy in a simplified way, facilitating the implementation of in-line control strategies, which in turn enable significant reductions of drying time. [ABSTRACT FROM AUTHOR]

The demand for lithium-ion batteries for electric vehicles (EV) has triggered an unprecedented interest in this metal. Although there is asignificant history in the scientific literature regarding lithium mining in Quebec between 1950–1980, very few studies document the current state of the art and address the possibility of the province integrating alocal production chain oriented towards the EV battery market. This paper presents Quebec's position and analyses its needs and potential market through aliterature review focusing on the main opportunities to produce domestic spodumene concentrates, as well as the major challenges the province will have to face to make the most of its competitive advantages. Furthermore, it provides an updated list of lithium mineral resources and reserves in Quebec, in compliance with NI 43–101. The results show that Quebec holds 94.1% and 85.8% of all Canadian mineral reserves and resources, respectively. The paper also provides an overview of the lithium industry in the province and compares its status with other Canadian jurisdictions. Quebec lithium mines would benefit if their production could be directly integrated with other local or nearby partners, generating ajoint benefit throughout the manufacturing chain of lithium-ion batteries for the EV market. [ABSTRACT FROM AUTHOR]

[Display omitted] • An observer allows estimating the slip profile in an HPGR working gap. • It is based on force balance equations and the Coulomb friction criterion. • The observed ore showed slippage at the working gap level. Modelling the high-pressure grinding rolls mass flow rate from the continuity principle represents a difficult task, partly because the ore may slip against the rolls. In effort to increase the understanding of this phenomenon, this paper introduces a state observer to estimate the slip profile in the HPGR working gap from the force balance equations and Coulomb friction criterion. The observer is used off-line and a posteriori, i.e. it requires a series of HPGR tests conducted at different levels of specific force and roll speed. It allows observing the slip profile on a gold ore at the pilot scale. As the material enters the compression zone, it descends at a slower rate than the vertical component of the roll peripheral speed. As it progresses downward, its velocity increases. It exceeds the roll peripheral speed at the working gap level and peaks below. The pressure peaking above the working gap makes slipping possible. It leads to the material above the working gap to push onto the one below and thus accelerating it. [ABSTRACT FROM AUTHOR]

• This paper presents a steady-state high-pressure grinding rolls model. • It consists of unified previously published works. • It is calibrated on 18 pilot scale data sets. This paper unifies high-pressure grinding rolls crusher (HPGR) models of the working gap, mass flow rate, power draw, and centre and edge product particle size distribution models to produce a framework that allows the simulation of the equipment for process optimization and control studies. Calculating the model parameters requires exclusively a series of HPGR tests, but the framework prediction capabilities remain confined within the range of the calibration data set. The model inputs the specific force, the roll speed, the zero-gap and the edge width setting. It makes no restricting hypothesis regarding slip or material bypass and does not necessitate prior knowledge of the flakes density. The work presents an extensive model analysis with calibrations on 18 data sets with invariable moisture content and feed particle size distribution, which includes computing the parameter uncertainties and analyzing the residuals. Seven of these data sets are new, while the rest consists of previously published values. The analysis shows that the model performs satisfactorily for all data sets. [ABSTRACT FROM AUTHOR]

Advanced process control can benefit to the operation efficiency and quality of tablets produced by wet granulation lines. Following the development of a new fully continuous fluidized bed reactor as a potential substitute for the current batch dryer design, this paper examines the energy and product quality performances of two predictive control strategies using an experimentally validated simulator. The first one proposes an economic model predictive controller explicitly minimizing the dryer energy consumption. The second one follows the same objective, but uses a simpler classical predictive control framework implementing targets on manipulated variables to drive them toward low energy consumption operating points. Both controllers lead to similar performances, and consume about 20% less energy than a reference feedback scheme without manipulated variable setpoints. Results also show that tracking the product quality attribute significantly benefits from a feedforward action because of the long residence time. This article addresses a subject little explored by the literature, the control of continuous fluidized bed dryers, and clearly demonstrates that a standard linear strategy can reduce the operating costs with an appropriate design. • Predictive control is applied on a simulated continuous fluidized bed dryer. • An economic model predictive controller (EMPC) minimizes the energy consumption. • A more standard predictive controller (MPC) also aims for low-energy actions. • Both EMPC and MPC results in low-energy operations. • Feedforward compensation improves the product quality in both cases. [ABSTRACT FROM AUTHOR]