Production of biodiesel from the novel non-edible seed of Chrysobalanus icaco using natural heterogeneous catalyst: Modeling and prediction using Artificial Neural Network

被引:14
|
作者
Okonkwo, C. P. [1 ]
Ajiwe, V. I. E. [1 ]
Obiadi, M. C. [1 ]
Okwu, M. O. [2 ,3 ]
Ayogu, J. I. [4 ,5 ,6 ]
机构
[1] Nnamdi Azikiwe Univ, Dept Pure & Ind Chem, Awka, Nigeria
[2] Fed Univ Petr Resources, Dept Mech Engn, Tori, Nigeria
[3] Univ Johannesburg, Dept Mech & Ind Engn, Johannesburg, South Africa
[4] Univ Nigeria Nsukka, Dept Pure & Ind Chem, Nsukka 410001, Nigeria
[5] UCL, Fac Math & Phys Sci, Dept Chem, London WC1E 6BT, England
[6] Univ Nigeria Nsukka, Dept Pure & Ind Chem, Nsukka 410001, Nigeria
关键词
Chrysobalanus icaco; Catalyst; Trans-esterification; Artificial neural network; TRAFFIC-NOISE; ESTERIFICATION; OPTIMIZATION; ACID; STABILITY;
D O I
10.1016/j.jclepro.2022.135631
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Biodiesel has been referred to as a perfect substitute for diesel fuel because of its numerous promising properties. They are renewable, clean, increase energy security, and improve the environment. The seed oil of Chrysobalanus icaco was characterised using Gas Chromatography-Mass Spectrophotometer (GCMS) and Fourier Transform Infrared Spectroscopy (FTIR). The heterogeneous solid catalyst of periwinkle shell ash was prepared in 3 forms: raw, calcined and acid-activated. They were characterised using Scanning Electron Microscope (SEM) and FTIR. The results of the SEM analysis revealed the calcined samples to be a better choice because of their larger surface area.The result showed that the oil yield of the used crop was promising for commercial biodiesel production, with Chrysobalanus icaco having a yield of 51.90%. The reusability of the catalyst for continuous reaction runs showed that biofuel yield was still high after five cycles: 92.25-80.60% for calcined periwinkle shell ash (PSA) catalyst and 89.26-78.50% for acid-activated PSA catalyst. The result of the fuel properties of the biodiesel and their blend indicated their suitability for biodiesel production. Methyl ester blends of 20:80 had viscosity that placed them in 2D grade diesel (2.0-4.3 mm2/s), helpful in powering stationary equipment. Other fuel properties, including acid value, pour point, flash point and density, were within the ASTM D6751 limits for biodiesels. Artificial Neural Network (ANN) was used to compare the experimental value to the simulated value using MATLAB 2020. The seed oil of Chrysobalanus icaco trans-esterified with methanol using Periwinkle Shell Ash (PSA) catalyst was proven to be a good source of biodiesel.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Sustainable and eco-friendly synthesis of biodiesel from novel and non-edible seed oil of Monotheca buxifolia using green nano-catalyst of calcium oxide
    Rozina
    Ahmad, Mushtaq
    Elnaggar, Ashraf Y.
    Teong, Lee Keat
    Sultana, Shazia
    Zafar, Muhammad
    Munir, Mamoona
    Hussein, Enas E.
    Ul Abidin, Sheikh Zain
    ENERGY CONVERSION AND MANAGEMENT-X, 2022, 13
  • [32] Optimized biodiesel production from mixed non-edible oils using advanced computational techniques and a novel bifunctional liquified catalyst: Compatibility assessment in IC engines
    Sujin, P.
    Kings, Ajith J.
    Miriam, L.R. Monisha
    Marshel, Jain B.
    Biomass and Bioenergy, 2024, 190
  • [33] Mathematical modeling and process parameters optimization studies by artificial neural network and response surface methodology: A case of non-edible neem (Azadirachta indica) seed oil biodiesel synthesis
    Betiku, Eriola
    Omilakin, Oluwasesan Ropo
    Ajala, Sheriff Olalekan
    Okeleye, Adebisi Aminat
    Taiwo, Abiola Ezekiel
    Solomon, Bamidele Ogbe
    ENERGY, 2014, 72 : 266 - 273
  • [34] Modeling of the nanocrystalline-sized mesoporous zinc oxide catalyst using an artificial neural network for efficient biodiesel production
    Soltani, Soroush
    Rashid, Umer
    Shojaei, Taha Roodbar
    Nehdi, Imededdine Arbi
    Ibrahim, Muhammad
    CHEMICAL ENGINEERING COMMUNICATIONS, 2019, 206 (01) : 33 - 47
  • [35] Modeling and optimization of novel biodiesel production from non-edible oil withmusa balbisianaroot using hybrid response surface methodology along with african buffalo optimization
    Kumar, Upender
    Gupta, Pardeep
    REACTION KINETICS MECHANISMS AND CATALYSIS, 2020, 130 (02) : 875 - 901
  • [36] Kinetic modeling and thermogravimetric investigation of Phoenix dactylifera and Phyllanthus emblica non-edible oil seeds: artificial neural network (ANN) prediction modeling
    Mohan, Indra
    Sahoo, Abhisek
    Mandal, Sandip
    Kumar, Sachin
    BIOMASS CONVERSION AND BIOREFINERY, 2023, 14 (17) : 20635 - 20654
  • [37] Ultrasound assisted two-stage biodiesel synthesis from non-edible Schleichera triguga oil using heterogeneous catalyst: Kinetics and thermodynamic analysis
    Sarve, Antaram N.
    Varma, Mahesh N.
    Sonawane, Shriram S.
    ULTRASONICS SONOCHEMISTRY, 2016, 29 : 288 - 298
  • [38] Optimization of biodiesel production from Bruce'a java']javanica seeds oil as novel non-edible feedstock using response surface methodology
    Hasni, Khalil
    Ilham, Zul
    Dharma, Surya
    Varman, Mahendra
    ENERGY CONVERSION AND MANAGEMENT, 2017, 149 : 392 - 400
  • [39] Prediction Modeling of Construction Labor Production Rates using Artificial Neural Network
    Muqeem, Sana
    Idrus, Arazi B.
    Khamidi, Mohd Faris
    Bin Zakaria, Saiful
    ENVIRONMENTAL SCIENCE AND TECHNOLOGY, PT 2, 2011, 6 : 32 - 36
  • [40] Enhancing biodiesel production from waste date seed oil through ultrasonic-assisted optimization: A sustainable approach using non-edible feedstocks
    Rambabu, K.
    Bharath, G.
    Hai, Abdul
    Show, Pau Loke
    Banat, Fawzi
    Manickam, Sivakumar
    CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION, 2023, 194