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Articles

Application of neural network for the prediction of chemical exergy: application in exergy and economic analyses

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References

  • Abdi Khanghah, M., R. M. Behbahani, T. Hamoule, and A. Baghban. 2017. Kinetic modeling and laboratory investigation of catalytic toluene methylation to para-xylene. Petroleum Science and Technology 35 (18):1866–72.
  • Abdi-Khanghah, M., A. Bemani, Z. Naserzadeh, and Z. Zhang. 2018. Prediction of solubility of N-alkanes in supercritical CO2 using RBF-ANN and MLP-ANN. Journal of CO2 Utilization 25:108–19.
  • Amid, S., and T. M. Gundoshmian. 2017. Prediction of output energies for broiler production using linear regression, ANN (MLP, RBF), and ANFIS models. Review of Environmental Progress & Sustainable Energy 36 (2):577–85. doi:10.1002/ep.12448.
  • Dincer, I., M. M. Hussain, and I. Al-Zaharnah. 2004. Energy and exergy use in public and private sector of Saudi Arabia. Review of Energy Policy 32 (14):1615–24. doi:10.1016/S0301-4215(03)00132-0.
  • Gao, W., M. Abdi-Khanghah, M. Ghoroqi, A. Daryasafar, and M. Lavasani. 2018. Flow reversal of laminar mixed convection for supercritical CO2 flowing vertically upward in the entry region of asymmetrically heated annular channel. Review of the Journal of Supercritical Fluids 131:87–98. doi:10.1016/j.supflu.2017.09.007.
  • Gharagheizi, F., and M. Mehrpooya. 2007. Prediction of standard chemical exergy by a three descriptors QSPR model. Review of Energy Conversion and Management 48 (9):2453–60. doi:10.1016/j.enconman.2007.04.005.
  • Hepbasli, A. 2008. A key review on exergetic analysis and assessment of renewable energy resources for a sustainable future. Review of Renewable and Sustainable Energy Reviews 12 (3):593–661. doi:10.1016/j.rser.2006.10.001.
  • Huang, Y. W., M. Q. Chen, Q. H. Li, and W. Xing. 2018. “A critical evaluation on chemical exergy and its correlation with high heating value for single and multi-component typical plastic wastes. Review of Energy. doi:10.1016/j.energy.2018.05.116.
  • Mengshan, L., W. Wei, C. Bingsheng, W. Yan, and H. Xingyuan. 2017. Solubility prediction of gases in polymers based on an artificial neural network: A review. Review of RSC Advances 7 (56):35274–82. doi:10.1039/C7RA04200K.
  • Rosen, M. A., and I. Dincer. 2001. Exergy as the confluence of energy, environment and sustainable development. Review of Exergy, an International Journal 1 (1):3–13. doi:10.1016/S1164-0235(01)00004-8.
  • Szargut, J., D. R. Morris, and F. R. Stewart. 1998. Exergy analysis of thermal, chemical, and metallurgical processes. USA: Edwards Brothers. Inc.
  • Yarveicy, H., M. M. Ghiasi, and A. H. Mohammadi. 2018. Determination of the gas hydrate limits to isenthalpic Joule-Thomson expansions. Review of Chemical Engineering Research and Design. doi:10.1016/j.cherd.2017.12.046.

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