Development of the controlling speed algorithm of the conveyor belt based on TOU-tariffs

Pihnastyi, Oleh and Khodusov, Valery (2020): Development of the controlling speed algorithm of the conveyor belt based on TOU-tariffs. Published in: Proceedings of the 2nd International Workshop on Information-Communication Technologies & Embedded Systems, ICTES 2020 , Vol. 2762, (12 October 2020): pp. 73-86.

Abstract

The article considers the synthesis of an optimal discrete control algorithm for the conveyor belt speed, based on the use of Time-Of-Use tariffs. Methods have been investigated that reduce the consumption of electricity required to transport material from the extracted place to the place of processing. It is shown that the uneven distribution of material along the transportation route for long multi-section conveyors leads to a significant increase in the share of transportation costs among the total costs of material extraction. The systems for controlling the flow parameters of the transport system are analyzed to ensure uniform distribution of material along the transport route and reduce the cost of transporting material. It has been demonstrated that energy management methodology is an effective tool to reduce the cost of material transportation. Analyzed the common classes of tariffs using electricity by industrial enterprises, which can be successfully used in the design of control systems for flow parameters of the conveyor line. When synthesizing algorithms for regulating the speed of the belt, the model of primary friction and the assumption of the absence of a stress wave in the belt during instantaneous switching of the speed modes were used. An analytical model of the conveyor is presented in a dimensionless form, taking into account the transport delay. The problem of optimal control of the speed of the conveyor belt at fixed energy consumption for the considered control interval is formulated. The ranges of variation of the model parameters are estimated. An algorithm for optimal regulation of the belt speed using the coefficients Ukraine–TOU periods is synthesized. The influence of the initial conditions on the belt speed control modes is analyzed.

• Item Type: MPRA Paper
• Language: English
• Keywords: Transport conveyor; distributed transport system; energy management; conveyor belt speed control; transport delay; uneven material distribution
• Subjects: C - Mathematical and Quantitative Methods > C0 - General > C02 - Mathematical Methods; C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C15 - Statistical Simulation Methods: General; C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C25 - Discrete Regression and Qualitative Choice Models ; Discrete Regressors ; Proportions ; Probabilities; C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C44 - Operations Research ; Statistical Decision Theory; D - Microeconomics > D2 - Production and Organizations > D24 - Production ; Cost ; Capital ; Capital, Total Factor, and Multifactor Productivity ; Capacity; L - Industrial Organization > L2 - Firm Objectives, Organization, and Behavior > L23 - Organization of Production; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q2 - Renewable Resources and Conservation > Q21 - Demand and Supply ; Prices

References

1. Ju. Razumnyj, A. Ruhlov and A. Kozar, Improving the energy efficiency of conveyor transport of coal mines, Mining Electromechanics and Automation, 76 (2006) 24–28. https://docplayer.ru/64655888-Povyshenie-energoeffektivnosti-konveyernogo-transportaugolnyh-shaht.html

2. B.Jeftenić, L.Ristić, M.Bebić, S.Štatkić, I.Mihailović and D.Jevtić, Optimal utilization of the bulk material transportation system based on speed-controlled drives, in: Proceedings of the XIX International Conference on Electrical Machines, 2010, pp.1–6, doi:10.1109/ICELMACH.2010.5608055.

3. O.Pihnastyi, Control of the belt speed at unbalanced loading of the conveyor, Scientific bulletin of National Mining University 6 (2019) 122–129. doi:10.29202/nvngu/2019-6/18

4. S. Zamorano, Main Article Belt Conveyor Technology Long Distance Conveying–Choosing the Right Option, Bulk Solids Handling: Houston, TX, USA, 2011

5. O. Pihnastyi, G. Kozhevnikov, V. Khodusov. Conveyor Model with Input and Output Accumulating Bunker, in: Proceedings of the IEEE 11th International Conference on Dependable Systems, Services and Technologies, 2020, pp.253–258, doi:10.1109/DESSERT50317.2020.9124996.

6. M. Alspaugh, Longer Overland Conveyors with Distributed Power, Rockwell Automation Fair, (2005). http://www.overlandconveyor.com/pdf/Longer_0verland_Conveyors_with_Distributed_Power.pdf

7. J.Antoniak, Energy-saving belt conveyors installed in polish collieries, Transport Problems 5(4) (2010) 5–14. http://transportproblems.polsl.pl/pl/Archiwum/ 2010/zeszyt4/2010t5z4_01.pdf

8. M. Bajda, R. Błażej, L. Jurdziak, Analysis of changes in the length of belt sections and the number of splices in the belt loops on conveyors in an underground mine, Engineering Failure Analysis 101 (2019): 439–446. doi:10.1016/j.engfailanal.2019.04.003

9. R. Król, W. Kawalec, L. Gładysiewicz, An effective belt conveyor for underground ore transportation systems, IOP Conference Series: Earth and Environmental Science 95(4) (2017) 1–9. doi:10.1088%2F1755-1315%2F95%2F4%2F042047

10. Siemens, Innovative solutions for the mining industry, www.siemens.com/mining

11. M. Alspauch, The evolution of intermediate driven belt conveyor, Bulk Solids Handling 23(3) (2003) 168-173. http://www.overlandconveyor.com/pdf/bsh_AlspaughM_3_2003.pdf

12. M. Masaki, L. Zhang and X. Xia, A design approach for multiple drive belt conveyors minimizing life cycle costs, Journal of Cleaner Production 201(10) (2018) 526–541. doi:10.1016/j.jclepro.2018.08.040.

13. O. Pihnastyi, V. Khodusov, The optimal control problem for output material flow on conveyor belt with input accumulating bunker, Bulletin of the South Ural State University 12(2) (2019) 67–81. doi:10.14529/mmp190206.

14. M. Bebic, B. Ristic, Speed Controlled Belt Conveyors: Drives and Mechanical Considerations, Advances in Electrical and Computer Engineering 18(1) (2018) 51–60. doi:10.4316/AECE.2018.01007

15. J. Marais, E. Mathews, R. Pelzer, Analysing DSM opportunities on mine conveyor systems, in: Proceedings of the Industrial and commercial use of energy conference, Cape Town, South Africa, 2008, pp. 28–34.

16. S.Darby, I. Pisica, Focus on electricity tariffs: experience and exploration of different charging scheme, in: Proceedings of the ECEEE summer study, Hyres, France, 2013, pp.2321–2331. https://www.eceee.org/library/conference_proceedings/eceee_Summer_Studies/2013/8- dynamics-of-consumption/focus-on-electricity-tariffs-experience-and-exploration-of-differentcharging-schemes/

17. C. Woo, P. Sreedharan, J. Hargreaves, F. Kahrl and J. Wang, I. Horowitz, A review of electricity product differentiation, Appl. Energy, 114 (2014) 262–72. doi:10.1016/j.apenergy.2013.09.070.

18. R.Granell, C.Axon and D. Wallom, Predicting winning and losing businesses when changing electricitytariffs, Appl. Energy 133 (2014) 298–307. doi:10.1016/j.apenergy.2014.07.098.

19. T. Cousins, Using Time of Use (TOU) Tariffs in Industrial, Commercial and Residential Applications Effectively, TLC Engineering Solutions, 2010. http://www.tlc.co.za/white_papers/pdf/using_time_of_use_tariffs_in_industrial_commercial _and_residential_applications_effectively.pdf

20. Eskom, Strategic direction and tariff design principles for Eskom’s tariffs, 2017. http://www.eskom.co.za/CustomerCare/TariffsAndCharges/Documents/Strategic pricing direction 2017 25-07-2017.pdf

21. Eskom, Tariffs & Charges Booklet 2020/2021 Charges for non-local authorities effective from 1 April 2020 to 31 March 2021 Charges for local authorities effective from 1 July 2020 to 30 June 2021, 2020. https://www.eskom.co.za/CustomerCare/TariffsAndCharges/Documents/2020_21%20Tariff%20Book%20final.pdf

22. National Cleaner Production Centre (NCPC, South Africa). A guide to understanding your industrial electricity bill, 2020. http://ncpc.co.za/files/Guides/How%20to%20Read%20Your%20Electricity%20guide%20Book.pdf

23. Eskom. Megaflex gen# schedule of standard prices for non-local authority supplies – 1 april 2020 to 31 march 2021, 2020. https://www.eskom.co.za/CustomerCare/TariffsAndCharges/Documents/Megaflex%20Gen%20schedule%202020-21.pdf

24. Iknet. URL: https://iknet.com.ua/ru/energy-costs-optimization-for-households/

25. National Audit Office, The electricity generating landscape in Great Britain; July 2010. https://www.nao.org.uk/report/the-electricity-generating-landscape-in-great-britain/ https://www.nao.org.uk/wp-content/uploads/2010/08/electricity_generating_landscape_gb.pdf

26. J.Ward, EDF energy EDRP case study developing a static household static time of use tariff, 2013. http://www.sustainabilityfirst.org.uk/images/publications/gbelec/Sustainability%20First%20-%20Paper%207%20-%20Annex%203%20-%20EDF%20Energy%20Household%20Static%20ToU%20Case%20Study%20(EDRP)%20-%20April%202013.pdf

27. DIN 22101:2002-08, Continous conveyors. Belt conveyors for loose bulk materials. Basics for calculation and dimensioning, Normenausschuss Bergbau (FABERG), Deutsches Institut für Normung e.v. Normenausschuss Maschinenbau, 2002.

28. O. Pihnastyi, V. Khodusov, Hydrodynamic Model of Transport System, East European Journal of Physics 1 (2020) 121–136. doi:10.26565/2312-4334-2020-1-11.

29. O. Pihnastyi, V. Khodusov, Calculation of the parameters of the composite conveyor line with a constant speed of movement of subjects of labour, Scientific bulletin of National Mining University 4(166) (2018) 138–146. doi:10.29202/nvngu/2018-4/18.

30 A. Reutov, Simulation of load traffic and steeped speed control of conveyor, Earth and Environmental 87 (2017) 1–6. doi:10.1088/1755-1315/87/8/082041

31 H. Lauhoff, Speed Control on Belt Conveyors–Does it Really Save Energy?, Bulk Solids Handling 25(6) (2005) 368–377. http://synergy-eng.com/pdf/BSH-2005_Beltspeed_Lauhoff.pdf

32. I. Halepoto, M. Uqaili, Design and Implementation of Intelligent Energy Efficient Conveyor System Model Based on Variable Speed Drive Control and Physical Modeling, International Journal of Control and Automation 9(6) (2016) 379–388. doi:10.14257/ijca.2016.9.6.36

33. O. Pihnastyi, V. Khodusov, Optimal Control Problem for a Conveyor-Type Production Line,Cybern. Syst. Anal. 54(5) (2018) 744–753. doi:10.1007/s10559-018-0076-2

34. ConveyorBeltGuide, 2020. http://conveyorbeltguide.com