Statistical Modeling of Steam Generation for Cogeneration in Indian Sugar Industry: A Case Study
DOI:
https://doi.org/10.13052/dgaej2156-3306.2512Keywords:
Keywords: bagasse, cogeneration, regressionAbstract
The sugar industry is attaining new dimensions in the fast chang-
ing world. It is poised to play a much higher and wider role. Per-
formance and productivity of the sugar industry plays a vital role in
attaining new dimensions. To be productive, sugar companies have to
work as sugar complexes, producing sugar, ethanol, power and other
byproducts. Cogeneration of power in the sugar industry is an important
source of revenue. The conditions in India demand sugar industries to
generate and sell the electricity. This has created a new surge of interest
among the sugar mills for surplus power generation during the crushing
season using bagasse. This is possible and achievable only if the steam
generation in the plant is increased and also the power and steam re-
quirements of the plant are reduced. The study is aimed to relate various
parameters of bagasse, cane crushed to steam generation. Single factor
analysis of variance (ANOVA) is used to establish the significance of
each parameter. Regression analysis is carried to establish the relation
between parameters. The article arrives at a multiple regression equation
relating the steam generated as a function of its associated parameters
viz. cane crushed, bagasse % of cane, moisture % of bagasse, pol % of
bagasse.
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References
F.O. Lichts. “International Sugar and Sweetener Report,” International Sugar
Journal, Vol. 139, No 12, April 11, 2007.
Report of the Committee on “Revitalization of Sugar Industry.” Government of
India, Ministry of Food, Consumer Affairs and Public Distribution, New Delhi,
December 2004.
Jose Roberto Moreira. “Sugar Cane for Energy–Recent Results and Progress in
Brazil,” Energy for Sustainable Development, Volume IV, No 3, October 2000, pp
Dr Kassiap Deepchand. “Commercial Scale Cogeneration of Bagasse Energy in
Mauritius,” Energy for Sustainable Development, Volume V, No. 1, March 2001.
S. Ramjatun, J. Gukhool, and D. Seebaluck. “Optimization of Power Genera-
tion in the Local Cane Sugar Factories,” Science and Technology-Research Journal,
Volume 3, 1999, University of Mauritius, Réduit, Mauritius. pp79-85.
S. Padmanabhan (Team Leader). “Advancing Cogeneration in the Indian Sugar
Industry,” A Report of USAID/New Delhi, and the Office of Energy and Infra-
structure, Bureau for Research and Development, and the United States Agency
for International Development, prepared by Winrock International and Interna-
tional Development and Energy Associates, Inc., Report No. 93-00, May 1993.
World Alliance for Decentralized Energy (WADE). “Bagasse Cogeneration
Global Review and Potential,” June 2004.
Dr. Kassiap Deepchand. “Bagasse Energy Cogeneration in Mauritius,” Proceed ings: AFREPREN Regional Policy Seminar on Cogeneration, 6–8 October 2000,
pp 6-25.
Dr. V. Bakthavatsalam. “IREDA’s Role in Promoting Bagasse Cogeneration in
India,” International Cane Energy News, April 2000, pp 5.
Douglas C. Montgomery. Design and Analysis of Experiments, Fourth Edition,
John Wiley and Sons.
R.I. Levin, D.S. Rubin. Statistics for Management, Seventh Edition, Prentice-Hall
of India Private Limited.
Wayne A. Taylor. Optimization and Variation Reduction in Quality, McGraw-Hill,
Inc., 2006.
Jiju Antony. “Some Key Things Industrial Engineers Should Know About
Experimental Design,” Logistics Information Management, Volume XI, Number 6,
pp 386-392.
S. Charles, M. Senthil Kumar and T.R. Sukumar. “Statistical Design of Experi-
ments for Predicting the Nature of Built-up Edge in Metal Cutting,” Pro-
ceedings of the International Conference on Intelligent Flexible Autonomous
Manufacturing Systems, Tata McGraw-Hill, 2000. pp, 895-903.
