Performance emission characterization of a LPG-diesel dual fuel operation: A gene expression programming approach

Amitav Chakraborty; Sumit Roy; Rahul Banerjee

doi:10.1007/978-981-13-0761-4_39

Performance emission characterization of a LPG-diesel dual fuel operation: A gene expression programming approach

Amitav Chakraborty, Sumit Roy, Rahul Banerjee

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

4 Citations (Scopus)

Abstract

The envisaged work attempts to explore the inherent capability of LPG as a potent alternative fuel, in diesel dual fuel paradigms in order to address the omni-present BTE-NOx-SOOT trade-off perspectives of an existing diesel engine. Furthermore, considering the prohibitive costs of computational time of present day 3D CFD platforms in multi-objective calibration challenges in I.C. engine domains, a unique gene expression programming (GEP) model has been proposed, to act as a robust and computationally rational system identification tool (SIT) in the LPG-diesel dual fuel platform. For the developed model, load, LPG energy share and injection duration were the chosen input variables, whereas BSFC_EQ, BTE, NOx, SOOT, and HC were the corresponding output responses. Subsequent to GEP modeling, it was revealed that developed GEP model was competent enough to map the experimental engine output parameters with higher and commendable ranges of accuracy. The obtained results of coefficient of correlation were in the ranges of 0.99262–0.99769, while the error metrics of mean absolute percentage error values were in the ranges of 1.03–3.08% and very low values root mean square errors, respectively.

Original language	English
Title of host publication	Harmony Search and Nature Inspired Optimization Algorithms
Subtitle of host publication	Theory and Applications, ICHSA 2018
Editors	Neha Yadav, Anupam Yadav, Jagdish Chand Bansal, Kusum Deep, Joong Hoon Kim
Publisher	Springer-Verlag Wien
Pages	405-414
Number of pages	10
ISBN (Electronic)	9789811307614
ISBN (Print)	9789811307607
DOIs	https://doi.org/10.1007/978-981-13-0761-4_39
Publication status	E-pub ahead of print - 24 Aug 2018
Externally published	Yes
Event	4th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2018 - Gurgaon, India Duration: 7 Feb 2018 → 9 Feb 2018

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	741
ISSN (Print)	2194-5357

Conference

Conference	4th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2018
Country/Territory	India
City	Gurgaon
Period	7/02/18 → 9/02/18

Bibliographical note

Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2019.

Keywords

Diesel
Dual fuel
Gene expression programming
LPG
Performance emission

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science(all)

Access to Document

10.1007/978-981-13-0761-4_39

Cite this

Chakraborty, A., Roy, S., & Banerjee, R. (2018). Performance emission characterization of a LPG-diesel dual fuel operation: A gene expression programming approach. In N. Yadav, A. Yadav, J. C. Bansal, K. Deep, & J. H. Kim (Eds.), Harmony Search and Nature Inspired Optimization Algorithms : Theory and Applications, ICHSA 2018 (pp. 405-414). (Advances in Intelligent Systems and Computing; Vol. 741). Springer-Verlag Wien. Advance online publication. https://doi.org/10.1007/978-981-13-0761-4_39

Performance emission characterization of a LPG-diesel dual fuel operation: A gene expression programming approach. / Chakraborty, Amitav; Roy, Sumit; Banerjee, Rahul.
Harmony Search and Nature Inspired Optimization Algorithms : Theory and Applications, ICHSA 2018. ed. / Neha Yadav; Anupam Yadav; Jagdish Chand Bansal; Kusum Deep; Joong Hoon Kim. Springer-Verlag Wien, 2018. p. 405-414 (Advances in Intelligent Systems and Computing; Vol. 741).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Chakraborty, A, Roy, S & Banerjee, R 2018, Performance emission characterization of a LPG-diesel dual fuel operation: A gene expression programming approach. in N Yadav, A Yadav, JC Bansal, K Deep & JH Kim (eds), Harmony Search and Nature Inspired Optimization Algorithms : Theory and Applications, ICHSA 2018. Advances in Intelligent Systems and Computing, vol. 741, Springer-Verlag Wien, pp. 405-414, 4th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2018, Gurgaon, India, 7/02/18. https://doi.org/10.1007/978-981-13-0761-4_39

Chakraborty A, Roy S, Banerjee R. Performance emission characterization of a LPG-diesel dual fuel operation: A gene expression programming approach. In Yadav N, Yadav A, Bansal JC, Deep K, Kim JH, editors, Harmony Search and Nature Inspired Optimization Algorithms : Theory and Applications, ICHSA 2018. Springer-Verlag Wien. 2018. p. 405-414. (Advances in Intelligent Systems and Computing). Epub 2018 Aug 24. doi: 10.1007/978-981-13-0761-4_39

Chakraborty, Amitav ; Roy, Sumit ; Banerjee, Rahul. / Performance emission characterization of a LPG-diesel dual fuel operation : A gene expression programming approach. Harmony Search and Nature Inspired Optimization Algorithms : Theory and Applications, ICHSA 2018. editor / Neha Yadav ; Anupam Yadav ; Jagdish Chand Bansal ; Kusum Deep ; Joong Hoon Kim. Springer-Verlag Wien, 2018. pp. 405-414 (Advances in Intelligent Systems and Computing).

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Performance emission characterization of a LPG-diesel dual fuel operation: A gene expression programming approach

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

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