Multi-response optimization of energy, exergy, emission, economic characteristics of a variable compression ratio diesel engine fuelled with diesel–bioethanol–Al2O3 nanoparticle blend using Taguchi–Grey approach

Sudhansu S. Mishra and Taraprasad Mohapatra ()
Additional contact information
Sudhansu S. Mishra: Government College of Engineering
Taraprasad Mohapatra: C. V. Raman Global University

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2024, vol. 26, issue 10, No 73, 31 pages

Abstract: Abstract The current study pertains performance optimization of multiple responses of a variable compression ratio diesel engine in regard to variation in load, compression ratio, and fuel type. A total of 9 number of experimental runs are performed as per the design of experiment suggested by Taguchi technique for three different load of 4 kg, 8 kg, and 12 kg, compression ratio of 14, 16, and 18, and fuel type of diesel, e-diesel (85% diesel and 15% bioethanol blend), and nano-fuel (85% diesel and 15% bioethanol blend with 25 ppm alumina nanoparticles). The bioethanol used in this study prepared from waste rice straw. The energy efficiency (η), exergy efficiency (ɛE), nitrogen oxide emission, and % relative cost variation are measured as output performances of this study. Fuel type has been identified as the most promising factor to energy efficiency, and exergy efficiency with a contribution of 41.1% and 64.53%, respectively. Load has been identified as the most promising factor to NOx emission, and % relative cost variation with a contribution of 71.69% and 34.92%, respectively. The compression ratio has been identified as the least contributing factor for all output performances. Nano-fuel attains higher sustainability index of 1.923 compared to other fuel due to lower depletion rate. Multiple output performance optimization has been carried out for maximum η, and ɛE, as well as minimum nitrogen oxide emission, and % relative cost using Taguchi–Grey technique. 19.37% enhancement in overall performance of the test engine is observed for determined optimal input parameters of 4 kg load, 18 compression ratio and nano-fuel.

Keywords: Bioethanol; Nanoparticles; Experimental investigation; Sustainability analysis; Multi-response optimization; Taguchi–Grey technique (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10668-023-03733-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:endesu:v:26:y:2024:i:10:d:10.1007_s10668-023-03733-9

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/10668

DOI: 10.1007/s10668-023-03733-9

Access Statistics for this article

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development is currently edited by Luc Hens

More articles in Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().