Modelling and evaluation of combustion emission characteristics of COME biodiesel using RSM and ANN-a lead for pollution reduction.
ANN
Biodiesel
COME
Emissions
HC
NO
Pollutions
RSM
VCR engine
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
Jul 2021
Jul 2021
Historique:
received:
14
06
2020
accepted:
27
01
2021
pubmed:
5
3
2021
medline:
15
7
2021
entrez:
4
3
2021
Statut:
ppublish
Résumé
Nowadays, the emissions from the diesel engines are focused lot to minimise the environmental pollutions in accordance with the emission standards. In this regard, biodiesels are found to be efficient for the diesel engines due to their higher energy contents and low exhaust emissions. Use of biofuel in association with diesel will be an efficient way for the cost-effective performance of the diesel engines with reduced pollutions. The COME is an efficient combustible oil, in which the diesel is blended at different proportions to identify their suitability in the diesel engines. In this regard, the properties of the COME-Diesel blends are determined and analysed for their influence on the combustion characteristics. To understand the performance and emission characteristics of blends, experiments are carried out on the variable compression ratio (VCR) engine keeping the blend, compression ratio, load, and speed as variables. The response surface methodology (RSM) used as a tool for designing and conducting the experiments according to the predetermined variables. The experimental sets generated are performed to determine the NO and HC emissions (response functions). The adequacy of the models is verified through ANOVA and through the p and F tests. The experimental design matrix is also used in training the artificial neural network (ANN) to develop the empirical models. The models from RSM and ANN are experimented and the results obtained from both the models are compared for their accuracy levels. Once the hypothesis is developed for the biodiesel and engine setup, the emission models will be used for the optimising the engine operating parameters and blends to minimise the pollutions from engine for wide operating conditions.
Identifiants
pubmed: 33660170
doi: 10.1007/s11356-021-12757-5
pii: 10.1007/s11356-021-12757-5
doi:
Substances chimiques
Biofuels
0
Gasoline
0
Vehicle Emissions
0
Lead
2P299V784P
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
34730-34741Informations de copyright
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.
Références
Agarwal AK, Srivastava DK, Dhar A, Maurya RK, Shukla PC, Singh AP (2013) Effect of fuel injection timing and pressure on combustion, emissions and performance characteristics of a single cylinder diesel engine. Fuel 111:374–383
doi: 10.1016/j.fuel.2013.03.016
Alpaslan A, Yuksel B, Ileri E, Deniz Karaoglanc A (2015) Response surface methodology based optimization of diesel–n-butanol –cotton oil ternary blend ratios to improve engine performance and exhaust emission characteristics. Energy Convers Manag 15:383–394
Ambat I, Srivastava V, Sillanpää M (2018) Recent advancement in biodiesel production methodologies using various feedstock: a review. Renew Sust Energ Rev 90:356–369
doi: 10.1016/j.rser.2018.03.069
Anil Shet R, Shashank Kouloorkar S, Deepa Moolya M, Rajath Poojari S, Jagadish Reddy V (2013) Production and characterization of biodiesel from cottonseed oil’. Int J Adv Eng Sci Technol 2(4):328–344
Asadi A, Kadijani ON, Doranehgard MH, Bozorg MV, Xiong Q, Shadloo MS, Li LKB (2020) Numerical study on the application of biodiesel and bioethanol in a multiple injection diesel engine. Renew Energy 150:1019–1029
doi: 10.1016/j.renene.2019.11.088
Celikten I, Mutlu E, Solmaz H (2012) Variation of performance and emission characteristics of a diesel engine fuelled with diesel, rapeseed oil and hazelnut oil methyl ester blends. Renew Energy 48:122–126
doi: 10.1016/j.renene.2012.04.040
Chena J, Li J, Dong W, Zhang X, Tyagi RD, Drogui P, Surampalli RY (2018) The potential of microalgae in biodiesel production. Renew Sust Energ Rev 90:336–346
doi: 10.1016/j.rser.2018.03.073
EL-Kassaby M, Nemit-allah MA (2013) Studying the effect of compression ratio on an engine fuelled with waste oil produced biodiesel/diesel fuel. Alexandria Eng J 52(1):1–11
doi: 10.1016/j.aej.2012.11.007
Hadiya JP (2013) Experimental investigation of diesel blend with esterified cotton seed oil on cooper diesel engine. Int J Eng Sci ResTechnol 2(12):3444–3447
Homa H-B, MeisamTabatabaei MA, Khanali M, Demirbas A (2018) A comprehensive review on the environmental impacts of diesel/biodiesel additives. Energy Convers Manag 174:579–614
doi: 10.1016/j.enconman.2018.08.050
Khan H, Soudagar MEM, Kumar RH, Safaei MR, Farooq M, Khidmatgar A, Banapurmath NR, Farade RA, Abbas MM, Afzal A (2020) WaqarAhmed , Marjan Goodarzi and Syed Noeman Taqui, Effect of nano-graphene oxide and n-butanol fuel additives blended with diesel—Nigella sativa biodiesel fuel emulsion on diesel engine characteristics. Symmetry 12:961
doi: 10.3390/sym12060961
Manzoore EM, Soudagar MAM, Safaei MR, Afzal A, Dhana Raju V, Ahmed W, Banapurmath NR, Hossain N, Bashir S, Badruddin IA, Goodarzi M, Shahapurkar K, Taqui SN (2021) Effect of SrZnO nanoparticles and Ricinus communis biodiesel-diesel fuel blends on modified CRDI diesel engine characteristics. Energy 215(Part A):119094
Nagaraj K, Sujaykumar G, D'costa SW, Girishkumar GS (2018) Investigation on performance of diesel engine by using waste chicken fat biodiesel. IOP Conf Series: Materials Science and Engineering 376(1):012012
Nidal HA-H, Alnefaie KA (2015) A comparative study of almond and palm oils as two bio-diesel fuels for diesel engine in terms of emissions and performance. Fuel 150:318–324
doi: 10.1016/j.fuel.2015.02.040
Rakhamaji SG, Kate AM, Pawar A, Safaei MR, Soudagar MEM, Abbas MM, Ali HM, Banapurmath NR, Goodarzi M, Badruddin IA, Ahmed W, Shahapurkar K (2020) Effect of zinc oxide nano-additives and soybean biodiesel at varying loads and compression ratios on VCR diesel engine characteristics. Symmetry 12(6):1042
doi: 10.3390/sym12061042
Sadeghinezhad E, Kazi SN, Foad S, Badarudin A, Mehrali M, Sadri R, Safaei MR (2014) A comprehensive literature review of bio-fuel performance in internal combustion engine and relevant costs involvement. Renew Sust Energ Rev 30:29–44
doi: 10.1016/j.rser.2013.09.022
SenthilKumar R, Loganathan M, Tamilarasan P (2014) Performance and emission characteristic of di diesel engine with preheating corn oil methyl ester. Int J Mech Eng Technol 5(1):79–89
Sivamani S, Selvakumar S, Rajendran K, Muthusamy S (2018) Artificial neural network–genetic algorithm-based optimization of biodiesel production from Simarouba glauca, Biofuels. Vol. 10(3):214–223
Zheng Y, Shadloo MS, Nasiri H, Maleki A, Karimipour A, Tlili I (2020) Prediction of viscosity of biodiesel blends using various artificial model and comparison with empirical correlations. Renew Energy 153:1296–1306
doi: 10.1016/j.renene.2020.02.087