Figure 8. comparative analysis between before and after calibration of flow meter
Figure 8 comprises that the experimental value of specific heat consumption with
respect to number of weeks. Specific heat consumption is directly proportional to the
gas flow requirement. Firstly requirement of coke oven gas flow is about 17100 Nm3/
hrs then after rectification gas flow requirement is about 16900 Nm3/hrs. This shows
that 200 Nm3/hrs coke oven gas is saving in hourly basis. After the rectification of
smoke pushing specific heat consumption value is reduces from 670kcal/kg to
660kcal/kg which is given in table 6.
4. CONCLUSION
By this modification of gas flow meter calibration coke oven gas flow reduced from
17100Nm3/hrs to 16900Nm3/hrs, such as 200 Nm3 on hourly basis saving without
any extra manpower cost. The proposed method is also cost effective as it saves Rs
6483000 every month for producing coke. This methodology is also helpful for
reducing the manufacturing cost of coke in a recovery type of coke plant and stable
oven operation and prolongation of coke oven life. Future advancements in this
technique will allow us to minimize the need for money, which will revolutionize the
nation's economy.
ACKNOWLEDGEMENT
All authors would like to special thanks to S K Biswas (Coke Oven HOD, NMDC
Iron & Steel Plant,Nagarnar),Arsh Pandey(AGM, NMDC Iron & Steel Plant,Nagarnar),
J Arjun Prasad (Ex General Manager I/C, iron, BSP SAIL), Chandan Bhattacharya (Ex
General Manager in Coal, Coke & Coal Chemicals, RSP, SAIL), RBK Lakra (D.G.M,
Coke Oven Operation, RINL, India) and Akurati Veera AnkaRamaseshu working in
Mecon Limited ( A PSU Under Ministry of Steel, Government of India) as a working
management committee(coke oven plant, main units)for his insights and critical
assessment in preparing this Research paper.
https://doi.org/10.17993/3ctecno.2023.v12n1e43.243-260
REFERENCES
(1) Bénard C, Berekdar S, Duhamel C, Rosset M-M. (1989). Input-Output
Nonlinear Model of a Coke Oven Battery. IFAC Proc, 22(2), 95-99. https://
doi.org/10.1016/b978-0-08-037869-5.50020-0
(2) Bénard C, Berekdar S, Rosset M-M, Depoux M. (1989). A Coke Oven Battery
Modelization for Transient Operating Conditions. IFAC Proc Vol, 22(4),
451-457. https://doi.org/10.1016/s1474-6670(17)53587-9
(3) Suzuki G, Mizuno M, Higuchi M, Matsushita T. (1978). Development of an
Automatic Computer Control System for Coke Oven Operation. Trans Iron
Steel Inst Jp, 18(5), 308-316. https://doi.org/10.2355/isijinternational1966.18.308
(4) Pang S, Lai Y. (2011). Hybrid intelligent control of coke oven. Int Rev Comput
Softw, 6, 1313-9.
(5) Buczynski R, Weber R, Kim R, Schwöppe P. (2016). One-dimensional model
of heat-recovery, non-recovery coke ovens: Part IV: Numerical simulations
of the industrial plant. Fuel, 181(1), 1151-1161. https://doi.org/10.1016/
j.fuel.2016.05.033
(6) Buczynski R, Weber R, Kim R, Schwöppe P. (2016). One-dimensional model
of heat-recovery, non-recovery coke ovens. Part III: Upper-oven, down-
comers and sole-flues. Fuel, 181(1), 1132-1150. https://doi.org/10.1016/
j.fuel.2016.01.087
(7) Kostúr K. (2002). Control system of coking plant. Metalurgija, Fuel and
Energy abstracts, 44(2), 93. https://doi.org/10.1016/s0140-6701(03)90704-1
(8) Razzaq R, Li C, Zhang S. (2013). Coke oven gas: Availability, properties,
purification, and utilization in China. Fuel, 113, 287-299. https://doi.org/
10.1016/j.fuel.2013.05.070
(9) Kertcher LF, Linsky B. (1974). Economics of Coke Oven Charging Controls. J
Air Pollut Control Assoc, 24(8), 765-771. https://doi.org/
10.1080/00022470.1974.10469967
(10) Smolka J, Slupik L, Fic A, Nowak AJ, Kosyrczyk L. (2016). CFD analysis of the
thermal behaviour of heating walls in a coke oven battery. Int J Therm Sci,
104,186-193. https://doi.org/10.1016/j.ijthermalsci.2016.01.010
(11) Poraj J, Gamrat S, Bodys J, Smolka J, Adamczyk W. (2016). Numerical study
of air staging in a coke oven heating system. Clean Technol Environ Policy,
18, 1815-1825. https://doi.org/10.1007/s10098-016-1234-8
(12) Nyathi MS, Kruse R, Mastalerz M, Bish DL. (2016). Nature and origin of coke
quality variation in heat-recovery coke making technology. Fuel, 176, 11-19.
https://doi.org/10.1016/j.fuel.2016.02.050
(13) Tiwari HP, Banerjee PK, Saxena VK, Sharma R, Haldar SK, Paul S. (2014).
Effect of heating rate on coke quality and productivity in nonrecovery coke
making. Int J Coal Prep Util, 34(6), 306-320. https://doi.org/
10.1080/19392699.2014.896349
(14) Díez MA, Alvarez R, Barriocanal C. (2002). Coal for metallurgical coke
production: Predictions of coke quality and future requirements for
cokemaking. Int J Coal Geol, 50(1-4), 389-412. https://doi.org/10.1016/
S0166-5162(02)00123-4
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