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Integration of interpretive structural modelling with Bayesian network for biodiesel performance analysis

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  • Sajid, Zaman
  • Khan, Faisal
  • Zhang, Yan

Abstract

The performance of a biodiesel system can be affected by varied risk factors. The numbers of such risk factors are large and their interdependencies are vague and complex. The purpose of this study is to define relationships among such risk factors and integrate them with an objective risk analysis approach. In the present study, an interpretive structural modelling (ISM) approach was used to identify relationships among risk factors while a Bayesian Network (BN) approach was employed to define the strength of dependence and conduct a risk analysis. The results indicate that among 25 risk factors, operational safety is a key biodiesel performance factor. The analysis also highlights that the impacts of occupational health and natural resources depletion are strongly dependent on environmental parameters. Occupational health is also strongly dependent on plant safety. The results show that the interdependency between occupational health and natural resources depletion is weak.

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  • Sajid, Zaman & Khan, Faisal & Zhang, Yan, 2017. "Integration of interpretive structural modelling with Bayesian network for biodiesel performance analysis," Renewable Energy, Elsevier, vol. 107(C), pages 194-203.
    • Handle: RePEc:eee:renene:v:107:y:2017:i:c:p:194-203
    DOI: 10.1016/j.renene.2017.01.058
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    References listed on IDEAS

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    1. Trucco, P. & Cagno, E. & Ruggeri, F. & Grande, O., 2008. "A Bayesian Belief Network modelling of organisational factors in risk analysis: A case study in maritime transportation," Reliability Engineering and System Safety, Elsevier, vol. 93(6), pages 845-856.
    2. Pfohl, Hans-Christian & Gallus, Philipp & Thomas, David, 2011. "Interpretive structural modeling of supply chain risks," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 55230, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Atabani, A.E. & Silitonga, A.S. & Ong, H.C. & Mahlia, T.M.I. & Masjuki, H.H. & Badruddin, Irfan Anjum & Fayaz, H., 2013. "Non-edible vegetable oils: A critical evaluation of oil extraction, fatty acid compositions, biodiesel production, characteristics, engine performance and emissions production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 211-245.
    4. Guldhe, Abhishek & Singh, Poonam & Kumari, Sheena & Rawat, Ismail & Permaul, Kugen & Bux, Faizal, 2016. "Biodiesel synthesis from microalgae using immobilized Aspergillus niger whole cell lipase biocatalyst," Renewable Energy, Elsevier, vol. 85(C), pages 1002-1010.
    5. Sajid, Zaman & Khan, Faisal & Zhang, Yan, 2016. "Process simulation and life cycle analysis of biodiesel production," Renewable Energy, Elsevier, vol. 85(C), pages 945-952.
    6. Azeem, Muhammad Waqar & Hanif, Muhammad Asif & Al-Sabahi, Jamal Nasar & Khan, Asif Ali & Naz, Saima & Ijaz, Aliya, 2016. "Production of biodiesel from low priced, renewable and abundant date seed oil," Renewable Energy, Elsevier, vol. 86(C), pages 124-132.
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