The use of artificial neural networks for identifying sustainable biodiesel feedstocks

Article

Jahirul, Mohammed I., Brown, Richard J., Senadeera, Wijitha, O'Hara, Ian M. and Ristovski, Zoran D.. 2013. "The use of artificial neural networks for identifying sustainable biodiesel feedstocks." Energies. 6 (8), pp. 3764-3806. https://doi.org/10.3390/en6083764
Article Title

The use of artificial neural networks for identifying sustainable biodiesel feedstocks

ERA Journal ID123161
Article CategoryArticle
AuthorsJahirul, Mohammed I. (Author), Brown, Richard J. (Author), Senadeera, Wijitha (Author), O'Hara, Ian M. (Author) and Ristovski, Zoran D. (Author)
Journal TitleEnergies
Journal Citation6 (8), pp. 3764-3806
Number of Pages43
Year2013
PublisherMDPI AG
Place of PublicationSwitzerland
ISSN1996-1073
Digital Object Identifier (DOI)https://doi.org/10.3390/en6083764
Web Address (URL)http://www.mdpi.com/1996-1073/6/8/3764
Abstract

Over the past few decades, biodiesel produced from oilseed crops and animal fat is receiving much attention as a renewable and sustainable alternative for automobile
engine fuels, and particularly petroleum diesel. However, current biodiesel production is heavily dependent on edible oil feedstocks which are unlikely to be sustainable in the
longer term due to the rising food prices and the concerns about automobile engine durability. Therefore, there is an urgent need for researchers to identify and develop
sustainable biodiesel feedstocks which overcome the disadvantages of current ones. On the other hand, artificial neural network (ANN) modeling has been successfully used in recent years to gain new knowledge in various disciplines. The main goal of this article is to
review recent literatures and assess the state of the art on the use of ANN as a modeling tool for future generation biodiesel feedstocks. Biodiesel feedstocks, production processes,chemical compositions, standards, physio-chemical properties and in-use performance are discussed. Limitations of current biodiesel feedstocks over future generation biodiesel feedstock have been identified. The application of ANN in modeling key biodiesel quality
parameters and combustion performance in automobile engines is also discussed. This review has determined that ANN modeling has a high potential to contribute to the
development of renewable energy systems by accelerating biodiesel research

Keywordsrenewable energy; biodiesel; Artificial Neural Networks (ANN); second generation feedstock
ANZSRC Field of Research 2020401703. Energy generation, conversion and storage (excl. chemical and electrical)
Byline AffiliationsQueensland University of Technology
Institution of OriginUniversity of Southern Queensland
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A mesh free model for plant tissue deformations during drying
Karunasena, H. C. P., Senadeera, W., Brown, R. J. and Gu, Y. T.. 2014. "A mesh free model for plant tissue deformations during drying." Australian and New Zealand Industrial and Applied Mathematics (ANZIAM) Journal. 55 (EMAC2013), pp. C110-C137.
The influence of abrasive pretreatment on hot air drying of grape
Adiletta, Giuseppina, Senadeera, Wijitha, Liguori, Loredana, Crescitelli, Alessio, Albanese, Donatella and Russo, Paula. 2015. "The influence of abrasive pretreatment on hot air drying of grape." Food and Nutrition Sciences. 6, pp. 355-364. https://doi.org/10.4236/fns.2015.63036
Numerical investigation of plant tissue porosity and its influence on cellular level shrinkage during drying
Karunasena, H. C. P., Gu, Y. T., Brown, R. J. and Senadeera, W.. 2015. "Numerical investigation of plant tissue porosity and its influence on cellular level shrinkage during drying." Biosystems Engineering. 132, pp. 71-87. https://doi.org/10.1016/j.biosystemseng.2015.02.002
Influence of drying conditions on the moisture diffusion during single stage and two stage fluidized bed drying of bovine intestine for pet food
Alves-Filho, O., Senadeera, W. and Eikevik, T.. 2013. "Influence of drying conditions on the moisture diffusion during single stage and two stage fluidized bed drying of bovine intestine for pet food." Goncharova-Alves, S., Alves-Filho, O. and Eikevik, T. M. (ed.) 6th Nordic Drying Conference (NDC2013). Copenhagen, Denmark 05 - 07 Jun 2013 Copenhagen, Denmark.
Drying condition effects on fluidization quality and fluidization velocity at initial and final stages of cubical particulates for pet food
Alves-Filho, O., Senadeera, W. and Eikevik, T.. 2013. "Drying condition effects on fluidization quality and fluidization velocity at initial and final stages of cubical particulates for pet food." Goncharova-Alves, S., Alves-Filho, O. and Eikevik, T. M. (ed.) 6th Nordic Drying Conference (NDC2013). Copenhagen, Denmark 05 - 07 Jun 2013 Copenhagen, Denmark.
Application of meshfree methods to numerically simulate microscale deformations of different plant food materials during drying
Karunasena, H. C. P., Brown, R. J., Gu, Y. T. and Senadeera, W.. 2015. "Application of meshfree methods to numerically simulate microscale deformations of different plant food materials during drying." Journal of Food Engineering. 146, pp. 209-226. https://doi.org/10.1016/j.jfoodeng.2014.09.011
Scanning electron microscopic study of microstructure of gala apples during hot air drying
Karunasena, H. C. P., Hesami, P., Senadeera, W., Gu, Y. T., Brown, R. J. and Oloyede, A.. 2014. "Scanning electron microscopic study of microstructure of gala apples during hot air drying." Drying Technology: an international journal. 32 (4), pp. 455-468. https://doi.org/10.1080/07373937.2013.837479
Numerical investigation of case hardening of plant tissue during drying and its influence on the cellular-level shrinkage
Karunasena, H. C. P., Gu, Y.T., Brown, R. J. and Senadeera, W.. 2015. "Numerical investigation of case hardening of plant tissue during drying and its influence on the cellular-level shrinkage." Drying Technology: an international journal. 33 (6), pp. 713-734. https://doi.org/10.1080/07373937.2014.982759
Biodiesel production from non-edible beauty leaf (Calophyllum inophyllum) oil: process pptimization using response surface methodology (RSM)
Jahirul, Mohammad I., Koh, Wenyong, Brown, Richard J., Senadeera, Wijitha, O'Hara, Ian and Moghaddam, Lalehvash. 2014. "Biodiesel production from non-edible beauty leaf (Calophyllum inophyllum) oil: process pptimization using response surface methodology (RSM)." Energies. 7 (8), pp. 5317-5331. https://doi.org/10.3390/en7085317
Numerical Modeling of Morphological Changes of Food Plant Materials during Drying
Karunasena, H. C. P. and Senadeera Wijitha. 2017. "Numerical Modeling of Morphological Changes of Food Plant Materials during Drying ." Zhang, Min, Bhandari, Bhesh and Fang, Zhongxiang (ed.) Handbook of Drying of Vegetables and Vegetable Products. United Kingdom. CRC Press. pp. 387-427
The Drying Constant and its Effect on the Shrinkage Constant of Different-Shaped Food Particulates
Senadeera, Wijitha. 2008. "The Drying Constant and its Effect on the Shrinkage Constant of Different-Shaped Food Particulates." International Journal of Food Engineering. 4 (8). https://doi.org/10.2202/1556-3758.1219
Drying constant and shrinkage constant relations of different shaped food particulates: empirical models
Senadeera, W.. 2008. "Drying constant and shrinkage constant relations of different shaped food particulates: empirical models." Thorat, B. N. and Mujumdar, A. S. (ed.) 16th International Drying Symposium (IDS 2008). Hyderabad, India 09 - 12 Nov 2008 https://doi.org/10.1080/07373930903221812
Fluidization characteristics of moist food particles
Senadeera, Wijitha, Wijesinghe, Bandu, Young, Gordon and Bhandari, Bhesh. 2006. "Fluidization characteristics of moist food particles." International Journal of Food Engineering. 2 (1), pp. 1-13. https://doi.org/10.2202/1556-3758.1047
Modeling dimensional shrinkage of shaped foods in fluidized bed drying
Senadeera, Wijitha, Bhandari, Bhesh R., Young, Gordon and Wijesinghe, Bandu. 2005. "Modeling dimensional shrinkage of shaped foods in fluidized bed drying." Journal of Food Processing and Preservation. 29 (2), pp. 109-119. https://doi.org/10.1111/j.1745-4549.2005.00017.x
Influence of shapes of selected vegetable materials on drying kinetics during fluidized bed drying
Senadeera, Wijitha, Bhandari, Bhesh R., Young, Gordon and Wijesinghe, Bandu. 2003. "Influence of shapes of selected vegetable materials on drying kinetics during fluidized bed drying." Journal of Food Engineering. 58 (3), pp. 277-283. https://doi.org/10.1016/S0260-8774(02)00386-2
Methods for effective fluidization of particulate food materials
Senadeera, Wijitha, Bhandari, Bhesh R., Young, Gordon and Wijesinghe, Bandu. 2000. "Methods for effective fluidization of particulate food materials." Drying Technology: an international journal. 18 (7), pp. 1537-1557. https://doi.org/10.1080/07373930008917792
Physical properties and fluidization behaviour of fresh green bean particulates during fluidized bed drying
Senadeera, W., Bhandari, B., Young, G. and Wijesinghe, B.. 2000. "Physical properties and fluidization behaviour of fresh green bean particulates during fluidized bed drying." Food and Bioproducts Processing. 78 (C1), pp. 43-47. https://doi.org/10.1205/096030800532707