IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v152y2020icp1086-1098.html
   My bibliography  Save this article

Estimating biofuel density via a soft computing approach based on intermolecular interactions

Author

Listed:
  • Nabipour, Narjes
  • Daneshfar, Reza
  • Rezvanjou, Omid
  • Mohammadi-Khanaposhtani, Mohammad
  • Baghban, Alireza
  • Xiong, Qingang
  • Li, Larry K.B.
  • Habibzadeh, Sajjad
  • Doranehgard, Mohammad Hossein

Abstract

In this work, the density of biofuel is estimated using four intelligent models: a Least Square Support Vector Machine (LSSVM), a Radial Basis Function Artificial Neural Network (RBF-ANN), a Multi-layer Perceptron Artificial Neural Network (MLP-ANN), and an Adaptive Network-based Fuzzy Inference System (ANFIS). These models are used to estimate the density of biofuel based on intermolecular interactions and the van der Waals radii of the atoms. Various statistical analyses are performed on the original (experimental) and estimated data. It is found that the LSSVM model can provide more accurate predictions than the other three models. The R-squared value (R2) and the mean absolute relative error (MARE) for the LSSVM, RBF-ANN, MLP-ANN and ANFIS models are 0.847 & 0.056, 52.067 & 0.379, 57.385 & 0.371 and 65.096 & 0.678, respectively. This study shows that the LSSVM model is a promising tool for estimating the density of biofuel, offering an alternative to classic thermodynamic models.

Suggested Citation

  • Nabipour, Narjes & Daneshfar, Reza & Rezvanjou, Omid & Mohammadi-Khanaposhtani, Mohammad & Baghban, Alireza & Xiong, Qingang & Li, Larry K.B. & Habibzadeh, Sajjad & Doranehgard, Mohammad Hossein, 2020. "Estimating biofuel density via a soft computing approach based on intermolecular interactions," Renewable Energy, Elsevier, vol. 152(C), pages 1086-1098.
    • Handle: RePEc:eee:renene:v:152:y:2020:i:c:p:1086-1098
    DOI: 10.1016/j.renene.2020.01.140
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148120301622
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2020.01.140?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sipöcz, Nikolett & Tobiesen, Finn Andrew & Assadi, Mohsen, 2011. "The use of Artificial Neural Network models for CO2 capture plants," Applied Energy, Elsevier, vol. 88(7), pages 2368-2376, July.
    2. Fatih Demirbas, M., 2009. "Biorefineries for biofuel upgrading: A critical review," Applied Energy, Elsevier, vol. 86(Supplemen), pages 151-161, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Farrell, C.C. & Osman, A.I. & Doherty, R. & Saad, M. & Zhang, X. & Murphy, A. & Harrison, J. & Vennard, A.S.M. & Kumaravel, V. & Al-Muhtaseb, A.H. & Rooney, D.W., 2020. "Technical challenges and opportunities in realising a circular economy for waste photovoltaic modules," Renewable and Sustainable Energy Reviews, Elsevier, vol. 128(C).
    2. Yuwei, Liu & Li, Lingling & Jiaqi, Liu, 2024. "Hybrid scheduling strategy and improved marine predator optimizer for energy scheduling in integrated energy system to enhance economic and environmental protection capability," Renewable Energy, Elsevier, vol. 228(C).
    3. Bukkarapu, Kiran Raj & Krishnasamy, Anand, 2022. "A critical review on available models to predict engine fuel properties of biodiesel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    4. Roy Setiawan & Reza Daneshfar & Omid Rezvanjou & Siavash Ashoori & Maryam Naseri, 2021. "Surface tension of binary mixtures containing environmentally friendly ionic liquids: Insights from artificial intelligence," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 17606-17627, December.
    5. Zulfiqar Ahmad & Hua Zhong & Amir Mosavi & Mehreen Sadiq & Hira Saleem & Azeem Khalid & Shahid Mahmood & Narjes Nabipour, 2020. "Machine Learning Modeling of Aerobic Biodegradation for Azo Dyes and Hexavalent Chromium," Mathematics, MDPI, vol. 8(6), pages 1-17, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aboagye, D. & Banadda, N. & Kiggundu, N. & Kabenge, I., 2017. "Assessment of orange peel waste availability in ghana and potential bio-oil yield using fast pyrolysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 814-821.
    2. Bharathiraja, B. & Jayamuthunagai, J. & Sudharsanaa, T. & Bharghavi, A. & Praveenkumar, R. & Chakravarthy, M. & Yuvaraj, D., 2017. "Biobutanol – An impending biofuel for future: A review on upstream and downstream processing tecniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 788-807.
    3. Sánchez, S. & Lozano, L.J. & Godínez, C. & Juan, D. & Pérez, A. & Hernández, F.J., 2010. "Carob pod as a feedstock for the production of bioethanol in Mediterranean areas," Applied Energy, Elsevier, vol. 87(11), pages 3417-3424, November.
    4. Kasivisvanathan, Harresh & Barilea, Ivan Dale U. & Ng, Denny K.S. & Tan, Raymond R., 2013. "Optimal operational adjustment in multi-functional energy systems in response to process inoperability," Applied Energy, Elsevier, vol. 102(C), pages 492-500.
    5. Haroldo Jorge da Silva Ribeiro & Armando Costa Ferreira & Caio Campos Ferreira & Lia Martins Pereira & Marcelo Costa Santos & Lauro Henrique Hamoy Guerreiro & Fernanda Paula da Costa Assunção & Sílvio, 2024. "Depolymerization of PMMA-Based Dental Resin Scraps on Different Production Scales," Energies, MDPI, vol. 17(5), pages 1-25, March.
    6. Theodore Dickerson & Juan Soria, 2013. "Catalytic Fast Pyrolysis: A Review," Energies, MDPI, vol. 6(1), pages 1-25, January.
    7. Demirbas, Ayhan, 2011. "Biodiesel from oilgae, biofixation of carbon dioxide by microalgae: A solution to pollution problems," Applied Energy, Elsevier, vol. 88(10), pages 3541-3547.
    8. Nicodème, Thibault & Berchem, Thomas & Jacquet, Nicolas & Richel, Aurore, 2018. "Thermochemical conversion of sugar industry by-products to biofuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 151-159.
    9. Hoang-Tuong Nguyen Hao & Obulisamy Parthiba Karthikeyan & Kirsten Heimann, 2015. "Bio-Refining of Carbohydrate-Rich Food Waste for Biofuels," Energies, MDPI, vol. 8(7), pages 1-15, June.
    10. Andres Quintero, Julian & Ruth Felix, Erika & Eduardo Rincón, Luis & Crisspín, Marianella & Fernandez Baca, Jaime & Khwaja, Yasmeen & Cardona, Carlos Ariel, 2012. "Social and techno-economical analysis of biodiesel production in Peru," Energy Policy, Elsevier, vol. 43(C), pages 427-435.
    11. Jha, Sunil Kr. & Bilalovic, Jasmin & Jha, Anju & Patel, Nilesh & Zhang, Han, 2017. "Renewable energy: Present research and future scope of Artificial Intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 297-317.
    12. Bagnato, Giuseppe & Boulet, Florent & Sanna, Aimaro, 2019. "Effect of Li-LSX zeolite, NiCe/Al2O3 and NiCe/ZrO2 on the production of drop-in bio-fuels by pyrolysis and hydrotreating of Nannochloropsis and isochrysis microalgae," Energy, Elsevier, vol. 179(C), pages 199-213.
    13. Favaro, Lorenzo & Basaglia, Marina & van Zyl, Willem H. & Casella, Sergio, 2013. "Using an efficient fermenting yeast enhances ethanol production from unfiltered wheat bran hydrolysates," Applied Energy, Elsevier, vol. 102(C), pages 170-178.
    14. Luis Puigjaner & Mar Pérez-Fortes & José M. Laínez-Aguirre, 2015. "Towards a Carbon-Neutral Energy Sector: Opportunities and Challenges of Coordinated Bioenergy Supply Chains-A PSE Approach," Energies, MDPI, vol. 8(6), pages 1-48, June.
    15. Schmidt, Johannes & Leduc, Sylvain & Dotzauer, Erik & Kindermann, Georg & Schmid, Erwin, 2010. "Cost-effective CO2 emission reduction through heat, power and biofuel production from woody biomass: A spatially explicit comparison of conversion technologies," Applied Energy, Elsevier, vol. 87(7), pages 2128-2141, July.
    16. Sallevelt, J.L.H.P. & Gudde, J.E.P. & Pozarlik, A.K. & Brem, G., 2014. "The impact of spray quality on the combustion of a viscous biofuel in a micro gas turbine," Applied Energy, Elsevier, vol. 132(C), pages 575-585.
    17. Banerjee, Sanjukta & Banerjee, Srijoni & Ghosh, Ananta K. & Das, Debabrata, 2020. "Maneuvering the genetic and metabolic pathway for improving biofuel production in algae: Present status and future prospective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    18. Vasmara, Ciro & Marchetti, Rosa & Carminati, Domenico, 2021. "Wastewater from the production of lactic acid bacteria as feedstock in anaerobic digestion," Energy, Elsevier, vol. 229(C).
    19. Taylor-de-Lima, Reynaldo L.N. & Gerbasi da Silva, Arthur José & Legey, Luiz F.L. & Szklo, Alexandre, 2018. "Evaluation of economic feasibility under uncertainty of a thermochemical route for ethanol production in Brazil," Energy, Elsevier, vol. 150(C), pages 363-376.
    20. Talebian-Kiakalaieh, Amin & Amin, Nor Aishah Saidina & Zarei, Alireza & Noshadi, Iman, 2013. "Transesterification of waste cooking oil by heteropoly acid (HPA) catalyst: Optimization and kinetic model," Applied Energy, Elsevier, vol. 102(C), pages 283-292.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:152:y:2020:i:c:p:1086-1098. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.