A Parametric Energy Model for Energy Management of Long Belt Conveyors

Abstract

Abstract:As electricity prices continue to rise, the increasing need for energy management requires better understanding of models for energy-consuming applications, such as conveyor belts. Conveyor belts are used in a wide range of industries, including power generation, mining and mineral processing. Conveyor technological advances are leading to increasingly long conveyor belts being commissioned. Thus, the energy consumption of each individual belt conveyor unit is becoming increasingly significant. This paper proposes a generic energy model for belt conveyors with long troughed belts. The model has a two-parameter power equation, and it uses a partial differential equation to capture the variable amount of material mass per unit length throughout the belt length. Verification results show that the power consumption calculations of the newly proposed simpler model are consistent with those of a known non-linear model with an error of less than 4%. The online parameter identification set-up of the model is proposed. Simulations indicate that the parameters can be identified successfully from data with up to 15% measurement noise. Results show that the proposed model gives better predictions of the power consumed and material delivered by a long conveyor belt than the steady-state models in the current literature.

Hydrodynamic Model of Transport System

“…The first group includes models for calculating the flow parameters of the conveyor line. When building models of this group are used: the finite element method (FEM) [6]; finite difference method (FDM) [7]; Lagrange equations [8]; aggregated equation of state [9,10,11]; equations for neural network layers [12]; system dynamics equations [13] and multiple regression equations [14][15][16]. The models of the first group are used in the tasks of operational planning of production activities of the enterprise.…”

Energy Modeling and Parameter Identification of Dual-Motor-Driven Belt Conveyors without Speed Sensors

“…However, the relationship among the energy consumption, feed rate, and belt speed is complex, and the energy consumption is also closely related to the working environment and the operational condition of the drive motors [6]. Therefore, it is of great importance to study the energy model and parameter identification methods for belt conveyors, which have been concerns for many scholars [7][8][9][10]. The existing energy models of belt conveyors can be mainly divided into two categories: datadriven energy models [11,12] and analytical energy models [7,[13][14][15][16].…”

“…Furthermore, the speed sensor hinders the development of the motor to achieve a higher speed and miniaturized direction [22,23]. The existing energy models of belt conveyors can be mainly divided into two categories: datadriven energy models [11,12] and analytical energy models [7,[13][14][15][16]. The accuracy of data-driven energy models is affected by experimental data greatly.…”

A power dispatch model for a ferrochrome plant heat recovery cogeneration system

“…This is evidenced by many studies concluding that the proper operation and planning of the equipment and facilities are some of the key factors affecting the effectiveness of systems in both the industrial and residential sectors [26,27,28,29,30,31]. For instance, energy and associated cost savings were achieved by optimal operation of mining facilities, such as conveyor belts, crushers, coal washing plants and so on [32,33,34,35,36,37,38,39,40]. Moreover, existing studies on the application of heat recovery cogeneration systems to mineral processing plants, such as [41], are centered around the detailed modeling of the heat recovery efficiency instead of looking into the availability of the thermal energy for recovery and optimal operation of the cogeneration systems.…”