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Forecasting and analysis of biogas-based power production using extremal neural network

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References

  • Amon, T. H., Amon, B., Kryvoruchko, V., Bodiroza, V., Pötsch, E., and Zollitsch, W. 2006. Optimizing methane yield from anaerobic digestion of manure: Effects of dairy systems and glycerin supplementation. Int. Congr. Ser. 1293:217–220.
  • Boettcher, E. S., and Percus, A. G. 2000. Nature’s way of optimizing. Artif. Intell. 119:275–286.
  • Castrillón, L., Vázquez, I.,Marañón, E., Sastre, H. 2002. Anaerobic thermophilic treatment of cattle manures in UASB reactors. Waste Manag. Res 20 (4):350–356.
  • Demirel, B., and Scherer, P. 2011. Trace element requirements of agricultural biogas digesters during biological conversion of renewable biomass to methane. Biomass Bioenergy. 35:992–998.
  • Fehrenbach, H., Giegrich, J., Reinhardt, G., Sayer, U., Gretz, M., Lanje, K., and Schmitz, J. 2008. Kriterien einer nachhaltigen Bioenergienutzung im globalen Maßstab. UBA–Forschungsbericht. 206:41–112.
  • Hamed, M. M., Khalafallah, M. G., and Hassanien, E.A. 2004. Prediction of wastewater treatment plant performance using artificial neural networks. Environ. Modell. Software 19:919–928.
  • Macias-Corral, M., Samani, Z.,Hanson, A., Smith, G.,Funk, P., Yu, H., and Longworth, J. 2008. Anaerobic digestion of municipal solid waste and agricultural waste and the effect of co-digestion with dairy cow manure. Bioresour. Technol 99 (17):8288–8293.
  • Mu, Y., and Yu, H.-Q 2007. Simulation of biological hydrogen production in a UASB reactor using neural network and genetic algorithm. Int. J. Hydrogen Energy. 32:3308e3314.
  • Ozkaya, B., Demir, A., and Bilgili, M. S. 2007. Neural network prediction model for the methane fraction in biogas from field-scale landfill bioreactors. Environ. Model. Software 22:815–822.
  • Paul Thomas, Nirmala Soren, Nelson Pynadathu Rumjit and Jake George James 2016 The efficacy of an anaerobic digester-based power production from various feedstocks. Energy Sour., Part A: Recovery, Utiliz., Environ. Eff. 38:3315–3323.
  • Sahinkaya, E., Ozkaya, B., Kaksonen, A. H., and Puhakka, J. A. 2007. Neural network prediction of thermophilic (65 C) sulfidogenic fluidized-bed reactor performance for the treatment of metalcontaining wastewater. Biotechnol. Bioeng. 97(4):780e787.
  • Strik, D. P. B. T. B., Domnanovich, A. M., Zani, L., Braun, R., and Holubar, P. 2005. Prediction of trace compounds in biogas from anaerobic digestion using the Matlab Neural Network Toolbox. Environ. Model. Soft. 20:803e810.
  • Tsagarakis, K. P., and Papadogiannis, C. H. 2006. Technical and economic evaluation of the biogas utilization for energy production at Iraklio Municipality. Greece Energy Convers. Manage. 47:844–857.
  • Tsagarakis, K. P., Mara, D. D., and Angelakis, A. N. 2003. Application of cost criteria for selection of municipal wastewater treatment systems. Water Air Soil Pollut. 142:187–210.
  • Ward, A. J., Hobbs, P. J., Holliman, P. J., and Jones, D. L. 2007. Optimization of the anaerobic digestion of agricultural resources. Bioresour. Technol. 99:7928e7940.

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