Optimal energy control of a crushing process based on vertical shaft impactor

Numbi, B.P.; Xia, Xi

doi:10.1016/j.apenergy.2014.12.017

Cited by 26 publications

(17 citation statements)

References 25 publications

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“…The first step in numerical simulation is the modeling of three-dimensional entities. It is an important factor affecting the lattice division and the accuracy of the final research results whether the model is accurate or not [22][23][24][25][26][27]. The simulation range of the pumping station is 162.5 m for the upper reaches of the river and 37.5 m for the lower reaches of the river.…”

Section: Model Establishmentmentioning

confidence: 99%

Study on the Rectification of Forebay in Pumping Station

Song

Pang

Shi

et al. 2018

Mathematical Problems in Engineering

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The forebay of pumping stations is an important hydraulic structure that connects the channel with the inlet channel. Actual test observations and theoretical studies have shown that poor precursors produce backflow, vortex, and water flow disturbances in the forebay water. In this paper, taking a lateral inlet pump station as an example, we study the nonmeasures and five rectification measures—“Y” type diversion pier, “T” shaped diversion pier, narrow bottom hole, high and wide bottom, and diversion wall—through adopting the method of numerical simulation and model test. For the numerical simulation, the corresponding three-dimensional model is established by UG solid modeling software, and then the computational fluid is simulated numerically with CFX. Based on the analysis and comparison of the results during the test of numerical simulation and model test, the stability of the rectification measures is considered after taking into consideration the results of the uniformity test of the velocity distribution of the surface layer, the bottom layer, and the front section of each scheme. The proposed scheme 3 (“T” diversion pier) is regarded as the pumping station flow control measures.

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Section: Model Establishmentmentioning

confidence: 99%

Study on the Rectification of Forebay in Pumping Station

Song

Pang

Shi

et al. 2018

Mathematical Problems in Engineering

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“…Consequently, energy DSM research across various sectors has successfully been carried out. In commercial and industrial sectors, energy DSM initiatives include energy efficiency in coal plants through optimal sizing and operation of pumps studied by Zhang et al (2014), while Badenhorst et al (2011) looked at scheduling of deep mine rock winders, Numbi and Xia (2016) analysed optimal energy control of coal crushers and Chatterjee et al (2015) looked into optimally operating of ventilation systems with the aim of managing energy consumption. Others like Mathaba and Xia (2015) explored energy management of conveyor belts, water pumping stations (Zhang et al (2012)), including those with multiple pumps (Zhuan and Xia (2013)).…”

Section: Introductionmentioning

confidence: 99%

Sustainable energy-water management for residential houses with optimal integrated grey and rain water recycling

Wanjiru

Xia

2018

Journal of Cleaner Production

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South Africa is a semi-arid developing country facing water and energy insecurity. There are colossal challenges in reliably providing these resources amid growing population, increased urbanization and improved living standards causing increased demand for these resources. Development of new supply centralized systems comes at an exorbitant cost, whereas decentralized systems are touted as an attractive alternative. Grey water recycling and rain water harvesting at buildings level is such an alternative that can provide water for non-potable uses. However, there are technological challenges of optimally operating such systems while ensuring efficient use of associated energy. This paper introduces two control strategies; open loop optimal control and closed-loop model predictive control (MPC) strategies aimed at ensuring safe and reliable operation of the grey water recycling and rain water harvesting system while efficiently using associated energy. From the case study, the proposed system with either control strategy can save the cost of water and waste water by up to 32.3% and 29.5% respectively, while leading to 35.7% in energy cost savings and 31.5% in total operational cost savings in a month. Adoption of these systems would have a huge environmental effect in reducing demand for sewerage services, conservation of water hence reducing demand for potable water as well as increasing the energy efficiency. Furthermore, the system would increase the reliability and security of water supply. Despite the benefits, the system does not pay within its lifetime and therefore, government intervention is required so as to make it economically attractive. High cost of implementation coupled with low potable and waste water tariffs harbour adoption of these systems. Appropriate regulations, policies, incentives and public education are necessary to support such novel technologies in ensuring resource conservation, efficiency and security are achieved.

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“…Due to wear, the geometry of the liner changes, which causes the close side setting (CSS) to gradually increase. Hence, cone crusher performance is affected by gradually deteriorating performance over time [1][2][3]. This will affect the PSD curve and the flakiness index curve [4,5].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Cone Crusher Performance Considering Liner Wear

Fan

2016

Applied Sciences

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Cone crushers are used in the aggregates and mining industries to crush rock material. The pressure on cone crusher liners is the key factor that influences the hydraulic pressure, power draw and liner wear. In order to dynamically analyze and calculate cone crusher performance along with liner wear, a series of experiments are performed to obtain the crushed rock material samples from a crushing plant at different time intervals. In this study, piston die tests are carried out and a model relating compression coefficient, compression ratio and particle size distribution to a corresponding pressure is presented. On this basis, a new wear prediction model is proposed combining the empirical model for predicting liner wear with time parameter. A simple and practical model, based on the wear model and interparticle breakage, is presented for calculating compression ratio of each crushing zone along with liner wear. Furthermore, the size distribution of the product is calculated based on existing size reduction process model. A method of analysis of product size distribution and shape in the crushing process considering liner wear is proposed. Finally, the validity of the wear model is verified via testing. The result shows that there is a significant improvement of the prediction of cone crusher performance considering liner wear as compared to the previous model.

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Optimal energy control of a crushing process based on vertical shaft impactor

Cited by 26 publications

References 25 publications

Study on the Rectification of Forebay in Pumping Station

Study on the Rectification of Forebay in Pumping Station

Sustainable energy-water management for residential houses with optimal integrated grey and rain water recycling

Prediction of Cone Crusher Performance Considering Liner Wear

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