EconPapers    
Economics at your fingertips  
 

Exergy analysis of a grid-connected bagasse-based cogeneration plant of sugar factory and exhaust heat utilization for running a cold storage

Omendra Kumar Singh

Renewable Energy, 2019, vol. 143, issue C, 149-163

Abstract: In this study, energy and exergy analysis of a 16 MW cogeneration plant of a sugar factory located in India is carried out. Bagasse leaving the mills with 50% moisture is fed directly into the boiler as fuel. Maximum energy loss (23.021%) as well as maximum exergy destruction (68.219%) is found in the boiler furnace. The fuel moisture alone accounts for 11.89% energy loss due to the absorption of huge portion of combustion heat for its vapourization. Therefore, the effect of reducing bagasse moisture content on this analysis is examined through computer simulation. Reducing moisture content of bagasse from 50% to nil would increase the power output, the cogeneration energy efficiency and the cogeneration exergy efficiency by 3597 kW, 3.66% and 3.02% respectively. It is also found that 6.342% of fuel energy is lost through the exhaust gases. To utilize a portion of this waste heat, a vapour absorption refrigeration system is integrated with the considered plant. It is found that the proposed cooling system would produce a refrigerating effect of 594.714 TR with a COP of 0.721 and can, therefore, be used for preserving large quantities of vegetables in a cold storage.

Keywords: Exergy; Bagasse; Cogeneration; Sugar factory; Vapour absorption refrigeration system; Cold storage (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148119306640
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:143:y:2019:i:c:p:149-163

DOI: 10.1016/j.renene.2019.05.012

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:renene:v:143:y:2019:i:c:p:149-163