Optimal Power Generation from Bagasse in a Sugarcane Plant using PSO Algorithm Compared to SQP Algorithm

  • Mohammad Askari Khanabadi Department of Electrical Engineering, Khomeinishahr branch, Islamic Azad University, Khomenishahr, Isfahan, Iran.
  • Imaneh Dehghani Plant Science Division, Department of Biology, Faculty of Science, University of Isfahan, Isfahan, Iran.
  • Shahrokh Shojaeian Department of Electrical Engineering, Khomeinishahr branch, Islamic Azad University, Khomeinishahr, Khomenishahr/Isfahan, Iran
Keywords: Bagasse, Power Generation, PSO Algorithm, Optimization

Abstract

Due to the high amounts of sugarcane residue or bagasse which was produced by sugarcane plants in Iran, this study was aimed to optimize power generation from bagasse biomass in sugarcane plants using Particle Swarm Optimization (PSO) algorithm by data obtained from several case studies which had been simulated with SQP (Sequential quadratic programming) algorithm. In these studies, bagasse containing 50% moisture content (MC) alone or with fossil fuels, as well as bagasse with a moisture content of 40% and 30% with fossil fuels were used. Optimization values showed that 20% decrease in bagasse’s MC caused 55.6% increase in power generation efficiency, 36.3% reduction in gas emissions as well as 100% bagasse saving. PSO showed similar results to SQP and it seems that it is a proper algorithm than SQP. Therefore, if the bagasse is more dried by solar energy to lower MC, the greater efficiency of power generation is obtained.

References

[1] E. Bocci, A. Di Carlo, D. Marcelo, “Power plant perspectives for sugarcane mills,” Energy, Vol. 34, pp. 689-698, 2009.
[2] M. Eyidoğan, Ç. F. Kiliç, D. Kaya, M. Özkaymak, V. Coban, S. Çağman, “Energy and exergy analysis of an organic Rankine cycle in a biomass-based forest products manufacturing plant,” Turkish Journal of Electrical Engineering & Computer Sciences, Vol. 24, pp. 5100-5112, 2016.
[3] M. Mari, J. Mari, M. Ferreira, W. Conceição, C. Andrade, “Exergetic Analysis between a First-Generation Bioethanol Production Plant and a Second-Generation Plant Coupled to Conventional Process,” DEStech Transactions on Engineering and Technology Research, 2017.
[4] G. Colombo, W. Ocampo-Duque, F. Rinaldi, “Challenges in bioenergy production from sugarcane mills in developing countries: a case study,” Energies, Vol. 7, pp. 5874-5898, 2014.
[5] N. Jaafarzadeh, Y. Hashempour, A. Takdastan, M. Ahmadi Moghadam, Gh. Goodarzi, “Evaluation of bagasse pith as a skeleton builder for improvement of sludge dewatering,” Environmental Engineering & Management Journal (EEMJ), Vol. 15, pp. 725-732, 2016.
[6] F. A. Salehi, M. A. Abdoli, H. Shokouhmand, H. R. Jafari, “Techno‐economic assessment for energy generation using bagasse: case study,” International Journal of Energy Research, Vol. 37, pp. 982-990, 2013.
[7] F. R. Pazheri, Z. M. Kaneesamkandi, M. F. Othman, “Bagasse Saving and Emission Reduction in Power Dispatch at Sugar Factory by Co-generation and Solar Energy” 2012 IEEE International Power Engineering and Optimization Conference (PEOCO2012), 2012, Melaka, Malaysia.
[8] F. Pazheri, M. Othman, Z. Kaneesamkandi, N. Malik, “Environmentally friendly power dispatch at sugar plant with optimum bagasse utilization,” Environmental Engineering & Management Journal (EEMJ), Vol. 16, pp. 235-243, 2017.
[9] M. R. Gent, J. W. M. Lamont, “Minimum-emission dispatch,” IEEE Transactions on power apparatus and systems, Vol. 90, pp. 2650-2660, 1971.
[10] J. Javidan, A. Ghasemi, “Environmental/economic power dispatch using multi-objective honey bee mating optimization,” International Review of Electrical Engineering, Vol. 7, pp. 32-42, 2012.
[11] S. Muralidharan, K. Srikrishna, S. Subramanian, “Emission constrained economic dispatch—A new recursive approach,” Electric Power Components and Systems, Vol. 34, pp. 343-353, 2006.
Published
2020-06-01
How to Cite
Khanabadi, M. A., Dehghani, I., & Shojaeian, S. (2020). Optimal Power Generation from Bagasse in a Sugarcane Plant using PSO Algorithm Compared to SQP Algorithm. Majlesi Journal of Electrical Engineering, 14(2), 11-16. Retrieved from http://mjee.org/index/index.php/ee/article/view/3328
Section
Articles