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Study of energy indicators of power-consuming equipmentat in-plant procurement centers of cotton-cleaning plants
5. Aram MR, Czaderski C, Motavalli M (2008). Debonding failure modes of flexural FRP-strengthened RC beams. Composites Part B: Engineering. 39: 826-41.
6. Teng GJ, Smith TS, Yao J, Chen JF (2003). Intermediate crack-induced debonding in RC beams and slabs. Construction and Building Materials. 17: 447-62.
7. Meier, U., Kaiser, H. P. (1991). Strengthening of structures with CFRP laminates. Proceeding Advanced Composite Materials in Civil Engineering Structures, Material Division, ASCE, Las Vegas, - P. 224-232.
8. Saadatmanesh. H., Ehsani. M. R. (1990). Fibre composites can strengthen beams. Concrete International - Vol. 12, - No. 3, - P. 65-71.
9. Maleej, M., Bain, Y. (2001). Interfacial shear stress concentration on FRP-Strengthened beams. Composite Structures, - Vol. 54, - P. 417-426.
10. Khalifa. A., Tulmailan G., Nanni A., Belarbi A. (1999 b). Shear strengthening of continuous RC beams using externally bonded CFRP sheets. Sp-188, American Concrete Institute, Proc., 4th International Symposium on FRP for Reinforcement of Concrete Structures (FRPRCS-4), Baltimore, - MD, - P. - 995-1008.
11. Khalifa A., Nanni A. (1999). Rehabilitation of rectangular simply supported RC beams with shear deficiencies using CFRP composites. Constr. and Build. Mat., - Vol. 16, - P. 135-146.
12. Triantafillou, T. C. (1998) Shear Strengthening of reinforced concrete beams using epoxy bon-ded FRP composites. ACI Structural Journal, - P. 107-115.
13. Nystrom, H (1999). Bridge rehabilitation financial model aand case study, proceedings - 1999 ASEE Annual Conference, Engineering Economics Division, Charlotte, NC.
14. Jayaprakash J., Abdul Aziz A. A., Abang, A. A., Ashrabov, A. A. (2004 b). Rehabilitation of RC Beams using Bi-Directional Carbon Fibre Reinforced Polymer Fabrics. The Third International Conference on Advances in Structural Engineering and Mechanics (ASEM'04), -2-4 September - 2004, - Seoul, Korea.
15. Apicella F. (1999). Research and Development issues of composite resin system. A conference on Polymer Composites, Edited by Creese C. R. and Ganga Rao. H., Technomic Publishing Co. - Inc. - P. 134-139.
16. Chaallal O., Nollet, M.J., Perraton D. (1998). Strengthening ofreinforced concrete beams with externally bonded fibre reinforced plastic plates: design guidelines for shear and flexure. Canadian Journal of Civil Engineering, - Vol. 25, - No. 4, - P. 692-704.
17. Charles E. Bakis. (1993). Materials and Manufacturing. Fibre Reinforced Plastic (FRP) Reinfo-rcement for Concrete Structures: Properties and applications, Elsevier Science Publ., - P. 13-58.
18. Kani G. H. A rational theory for the function of woo reinforcement. ACI Journal, - V. 63, #3, - 1969, - P. 135-197.
19. U. S. Department of Transportation Federal Highway Administration.
DOI: http://dx.doi.org/10.20534/ESR-16-9.10-215-217
Tukhtamishev Botir Kunishevich, Institute of Power Engineering and Automation of the Academy of Sciences, Uzbekistan, Tashkent, Isakov Abdusaid Jalilovich, Tashkent Institute of Irrigation and Melioration, Uzbekistan, Tashkent, E-mail: lider_1987@mail.ru
Study of energy indicators of power-consuming equipmentat inplant procurement centers of cotton-cleaning plants
Abstract: The problems of formation of energy indicators of power-consuming equipment at in-plant procuring centers are considered in the paper, as well asthe method of calculation of electrical loads, which improves the accuracy of planning and the prediction of electricity consumption.
Keywords: cotton, energy, electric power, equipment, consumption, increase, design.
The mode so drive gear operation and other energy-consuming devices of the enterprises are the bases for formation of electric-power indicators in industrial production, consumption levels and the character of electric loads change. The study and exact assessment of the indicators of power-consumption of these units with consideration of their technical state, physical-chemical and physical- technological features of the technological process allow us to correctly analyze the dynamics of electrical loads of an enterprise, to reveal the reserves of electric energy, to increase the accuracy of planning and prediction of energy-consumption.
Knowing that the mode so electrical loads in individual machines determine the level of energy indicators, we have studied
the principal regularities of the change in electrical loads, specific electric power consumption of these machines. Calculations are carried out and energy characteristics of machines and mechanisms are built.
To build energy characteristics of consumed power and specific electrical consumption depending on productivity and other indicators, experiments on currently operating equipment have been carried out. Data processing was conducted with the use of mathematical statictics and probability theory.
Since the machines have different shut-off capacity due to different regulation and lubrication, the studies have been conducted on machines with average values of shut-off capacity.
Section 10. Technical sciences
feeding units PLA and XPP are used for the acceptance of raw cotton from lorrybaskets and tractor carts and feeding to the bales in procurement centers. Electrical power in cotton procurement centers are consumed by belt conveyors, pneumo-feeding units and lighting of territory and service premises.
Consumption evaluation of electrical power in the enterprises is fulfilled by the counters (meters) of active and reactive energy; at the absence of meters in procurements center or in equipment units, energy consumption is determined by the measurements of consumed capacity of all energy consuming objects with account of their operation mode, utilization factor and actual working time.
Experimental data on consumed capacity and power consumption per equipment unit at in-plant procurement centers are shown in Table 1. 1.
№ Name of technological equipment Number Fixed capacityper 1 equipment, kw Designed consumed capacity per 1 equipment, kw Operationtimeoftechnologi-cal equip., h Designed consumption of elect power per 1 equipment, kw Total consumption of power, kwh
1 Mobile belt cotton conveyor TLX-18 7 9,7 4 450 1800 12600
2 Belt conveyor TL 4 11,5 4,8 45 2160 8640
3 Mobile belt conveyor KLP-650 2 9,7 4 450 1800 3600
4 Receipting-feedingunit — feeder PLA 11 3 1,3 450 585 6435
5 Receipting-feeding unit mobile XPP 4 4,75 2 450 900 3600
6 Batch packer BX 2 35 14,7 480 7056 14112
7 Tunnel digging machine OBT 2 13,2 5,5 240 1320 2640
8 Ventilator for air suction through the tunnels UVP (VC-10) at efficiency up to 0,7 4 22 14 720 10080 40320
Energy consumption at in-plant cotton procurement center is evaluated by the following way:
= n (PTxt TLX ) + n (PTLtTL ) + n (PKLPtKLP ) + n (PPLAtPLA ) + + n (p>XPPtXPP ) + n (PBXtBX ) + n (POBTtOBT ) + n {PUVPtUVP ) + + n (POSVtOSV ),kw h
where, PTLX - is aconsumed energy of belt cotton conveyor, kw; PTL - aconsumed capacity of belt conveyor, kw; PKLp - aconsumed capacity ofbelt mobile conveyor, kw; PpLA - aconsumed capacity of receipting-feeding unit — feeder, kw; PXpp - aconsumed capacity of receipting-feeding mobile unit, kw; PBX - a consumed capacity of batch packer, kw; POBT - a consumed capacity of tunnel machine, kw; PUVp - a consumed capacity ofventilator for air suction through the tunnels, kw; POSV - a consumed capacity oflighting devices, kw; n-a number of equipment in operation, pieces; t - operation time of equipment, h.
Aggregate specific consumption of electric power for equipment at in-plant procurement center is:
— Mobile belt cotton conveyor TLX-18:
dTLX = ^ = 97 « 0,49,kw.h / m
A, 20
— belt conveyor TL:
dTL =115 =» 0,33, kw.h / m
Raw cotton in procurement center sand cotton-cleaning plants is received and stored separately according to its selection variety, industrial growth and the type ofharvesting. Raw cotton acceptance in procurement centers is done according to ripeness coefficient, its color, outward appearance of the fiber in accordance with norms and appearance descriptions in the Standards of the Republic of Uzbekistan.
About 100 in-plant procurement centers and more than 500 procurement centers are operating in the republic.
See draw cotton is accepted and batched separately from technical growths.
Raw cotton is stores in indoors warehouses, in open storage facilities (sheds) and open specially built areas where raw cotton is piled up on rammed down and asphalt sites.
Mobile belt conveyors TLX-18, TL, KLP-650 and pneumo-
Table
— belt mobile conveyor KLP-650:
9,7
= —=~ 0,26,kw.h / m 38
— receipting — feeding unit — feeder PLA:
3
= — =» 0,13,kw.h / m 24
— receipting-feedingunit, mobile XPP:
4,75
dYm = —— =~ 0,16, kw.h / m 30
— batch packer BX
35
d0„ = — =® 1, kw .h / m ж 35
— tunnel digging machine OBT:
13,2
d0BT = 4,4,kw.h / m
— ventilator for air suction through the tunnels UVP:
22
dUVP = — =® 8,8,kw.h / m3.сек 2,5
Design and experimental energy indicators of equipment, obtained at operating in-plant procurement center are given below in Table 2.
Experimental energy indicators obtained by measurement so noperating equipment, allow us to analyze and predict energy consumption.
Predicted amount of energy consumption per design period is determined from the expression:
Environmental monitoring to get special data from observation points (based on ecological factors)
ws.n. = + dTLnTL + dIŒpnKLP + dVAnvA + where n-is an amount for Put production by principal technological
, , , , , equipment at in-plant procurement center, t.
+dxppn xpp + dBXnBX + d0BTn0BT + y^uvp^uvp + "osv^osv )
kw. h/design period
Table 2.
№ Name of mechanization facility Type Design indicators Experimental indicators
Efficiency, t/s Specified capacity, kw Specific consumption of energy, kw/t Actual efficiency, t/h Consumed capacity, kw Actualspecificenergy consumption, kw.h/t
1 Mobile belt cotton conveyor TXL-18 20 9,7 0,49 12 4 0,3
2 Belt conveyor TL 35 11,5 0,33 21 4,8 0,2
3 Belt mobile conveyor KLP-650 38 9,7 0,26 22,8 4 0,2
4 Receiving-feeding unit-feeder PLA 24 3 0,13 14,4 1,3 0,09
5 Receiving-feeding unit XPP 30 4,75 0,16 18 2 0,1
6 Batch packer BX 35 35 1 21 14,7 0,7
7 Tunnel digging machine OBT 3 13,2 4,4 1,8 5,5 3
8 Ventilator for air suction through tunnel at efficiency up to 0,7 UVP 2,5 m 3/s 22 8,8 kw. h/M3S 2,5 m3/s 14 5,6 kw. h/m 3s
So, it is recommended to use experimentally obtained data to of specific norms of energy consumption and absolute consumption analyze and predict energy indicators; they increase design accuracy of electric power.
References:
1. Guide on primary processing of cotton. - Book 1. - Tashkent, "Mehnat" - 1994-574 p.
2. Allaev P., Khoshimov F. A. Energy Savingin Industrial Enterprises. - Tashkent: FAN. - 2011. - 207 p.
DOI: http://dx.doi.org/10.20534/ESR-16-9.10-217-220
Usmanov Rishat Niyazbekovich, Kuchkorov Temurbek Ataxonovich, Oteniyazov Rashit Idrisovich, Tashkent University of Information Technologies, Tashkent, Uzbekistan E-mail: timanet4u@gmail.com
Environmental monitoring to get special data from observation points (based on ecological factors)
Abstract: For defining ecological factor's status, there is one of the useful methods that to get special data from observation points and analyses it without human factors. As well as, GIS modeling illustrates this collected data from observation points with environmental parameters.
Keywords: stations, observation points, ecological factors, digital data, big data, geoprocessing, environmental monitoring, EDMS.
Introduction: Our environment is constantly changing and there is no denying that. However, as our environment changes, so does the need to become increasingly aware of the problems that surround it. With a massive influx of natural disasters, warming and cooling periods, different types ofweather patterns and much more, people need to be aware of what types of environmental problems our planet is facing. Environmental problems contain pollution, global warming and climate; improve grand soiling, changing water, changing air quality and other problems in ecological stress area.
These areas need making environmental monitoring to define status of ecology.
Environmental monitoring describes the processes and activities that need to take place to characterize and monitor the quality of the environment. Environmental monitoring is used in the preparation of environmental impact assessments, as well as in many circumstances in which human activities carry a risk of harmful effects on the natural environment. All monitoring strategies and programs have reasons and justifications, which are often designed to establish
