Literature DB >> 33582352

Exploring the efficiency and pollutant emission of a dual fuel CI engine using biodiesel and producer gas: An optimization approach using response surface methodology.

Debangsu Kashyap1, Samar Das1, Pankaj Kalita2.   

Abstract

The present study focuses on optimizing the engine operating parameters of a dual-fuel (DF) engine. Producer gas (PG) and Honge oil methyl ester (HOME) are used as primary fuel and pilot fuel respectively for the operation. An experimental design matrix of 20 different combinations was considered using Design of Experiments (DoE), based on the central composite design (CCD) of response surface methodology (RSM). The effects of these combinations were experimentally investigated to calculate the performance and emission characteristics of the engine. The objective of the work is to maximize the Brake thermal efficiency (BTE) and minimize the exhaust gas temperature (EGT), nitrogen oxide (NOx), hydrocarbon (HC), and carbon monoxide (CO) emissions. The RSM model is developed using the experimental data and further, the operating parameters were optimized using the desirability approach. The optimized combination of operating parameters was obtained at 61.10% engine load, compression ratio (CR) of 18, and injection timing (IT) of 23.30° before top dead center (BTDC). The optimum responses corresponding to these operating conditions were found as 14.23%, 354.29 °C, 52.18 ppm, 39.53 ppm, and 0.51% for BTE, EGT, NOx, HC, and CO respectively with an overall desirability of 0.962. The optimized responses were validated experimentally at optimum input conditions and found to be within acceptable error levels. Further, an economic analysis of the optimized DF system is also carried out.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biodiesel; CI engine; Compression ratio; Design of experiments; Gasification; Injection timing

Year:  2021        PMID: 33582352     DOI: 10.1016/j.scitotenv.2021.145633

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

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Authors:  Costel Anton; Silvia Curteanu; Cătălin Lisa; Florin Leon
Journal:  Materials (Basel)       Date:  2021-11-26       Impact factor: 3.623

2.  Study on the optimal position of the roof low roadway based on the response surface methodology.

Authors:  Hongqing Zhu; Shuhao Fang; Yujia Huo; Qi Liao; Lintao Hu; Yilong Zhang; Feng Li
Journal:  Sci Rep       Date:  2021-07-15       Impact factor: 4.379

  2 in total

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