Olive Cake Improvement for Bioenergy: the Drying Kinetics

References

• Agugliaro, F. M. 2007. Gasification of greenhouse residues for obtaning electrical energy in the south of Spain: Localization by gis. Interciencia 32(2), 131 –6.
   Web of Science ®Google Scholar
• Akgun, N. A., and I. Doymaz. 2005. Modelling of olive cake thin-layer drying process. Journal of Food Engineering 68, 455 –61.
   Web of Science ®Google Scholar
• Arjona, R., A. García, and P. Ollero. 1999. The drying of alperujo, a waste product of the olive oil mill industry. Journal of Food Engineering 41:229 –34.
   Web of Science ®Google Scholar
• Baños, R., F. Manzano-Agugliaro, F. G. Montoya, C. Gil, A. Alcayde, and J. Gómez. 2011. Optimization methods applied to renewable and sustainable energy: A review. Renewable and Sustainable Energy Reviews 15(4):1753 –66.
   Web of Science ®Google Scholar
• Barranco, D., R. Fernandez-Escobar, and L. Rallo. 1997. El cultivo del olivo. Ed. Mundi-prensa.
   Google Scholar
• Battiti, R. 1992. First and second order methods for learning: Between steepest descent and Netwon’s methods. Neural Computation, 4:141 –66.
   Web of Science ®Google Scholar
• Callejón-Ferre, A. J., B. Velázquez-Martí, J. A. López-Martínez, and F. Manzano-Agugliaro. 2011. Greenhouse crop residues: Energy potential and models for the prediction of their higher heating value. Renewable and Sustainable Energy Reviews, 15(2):948 –55.
   Web of Science ®Google Scholar
• Callejón-Ferre, A. J., J. Carreño-Sánchez, F. J. Suárez-Medina, J. Pérez-Alonso, and B. Velázquez-Martí 2014. Prediction models for higher heating value based on the structural analysis of the biomass of plant remains from the greenhouses of Almería (Spain). Fuel 116:377 –87.
   Web of Science ®Google Scholar
• Casanova-Peláez, P., 2009. Contributions to analysis and modeling of wet olive cakes drying processes (in Spanish), Ph.D. Thesis, University of Jaén (Spain).
   Google Scholar
• Cruz-Peragón, F., J. M. Palomar, and A. Ortega. 2006. Integral energetic cycle for the olive oil sector in the province of Jaén (Spain). Grasas y Aceites 57(2):219 –28.
   Web of Science ®Google Scholar
• Doymaz, I., O. Gorel, and N. A. Agkun. 2008. Drying characteristics of the solid by-product of olive oil extraction. Biosystems Engineering 88(2):213 –9.
   Web of Science ®Google Scholar
• Erenturk, K., S. Erenturk, and L. G. Tabil. 2004. A comparative study for the estimation of dynamical drying behavior of Echinacea angustifolia: regression analysis and neural network. Computers and Electronics in Agriculture 45:71 –90.
   Web of Science ®Google Scholar
• Erenturk, K., and S. Erenturk. 2007. Comparison of genetic algorithm and neural network approaches for drying process of carrot. Journal of Food Engineering 78:905 –12.
   Web of Science ®Google Scholar
• FAO, 2011. FAOSTAT, Agricultural statistics available at http://faostat.fao.org. Accessed 28/01/2011.
   Google Scholar
• Farkas, I., P. Reményi, P. and A. Biró. 2000. A neural network topology for modelling grain drying. Computers and Electronics in Agriculture 26:147 –58.
   Web of Science ®Google Scholar
• Fausett, L., 1994. Fundamentals of Neural Networks: architectures, algorithms and applications. NJ, USA: Prentice Hall.
   Google Scholar
• Fodslette, M., 1993. A scaled conjugate gradient algorithm for fast supervised learning. Neural Networks 6:525 –33.
   Web of Science ®Google Scholar
• Freire, F., A. Figueiredo, and P. Ferrao. 2001. Modelling high temperature, thin layer, drying kinetics of olive bagasse. Journal of Agricultural Engineering Research 78(4):397 –406.
   Web of Science ®Google Scholar
• García-Ibañez P., A. Cabanillas, and J. M. Sánchez. 2004. Gasification of leached orujillo (olive oil waste) in a pilot plant. Biomass and Bioenergy 27:183 –94.
   Web of Science ®Google Scholar
• Gerçel, H. F., 2002. The production and evaluation of bio-oils from the pyrolysis of sunflower-oil cake. Biomass and Bioenergy 23:307 –14.
   Web of Science ®Google Scholar
• Gercel, H. F., and O. Gercel. 2007. Bio-oil production from an oilseed by-product: fixed-bed pyrolysis of olive cake. Energy Sources Part A 29:695 –704.
   Web of Science ®Google Scholar
• Gómez, J. A., M. G. Guzmán, J. V. Giráldez, and E. Fereres. 2009. The influence of cover crops and tillage on water and sediment yield, and on nutrient, and organic matter losses in an olive orchard on a sandy loam soil. Soil and Tillage Research 106(1):137 –44.
   Web of Science ®Google Scholar
• Haykiri-Acma, H., and S. Yaman. 2009. Thermogravimetric investigation on the thermal reactivity of biomass during slow pyrolysis. International Journal of Green Energy 6(4):333 –42.
   Web of Science ®Google Scholar
• Henderson, S. M., and S. Pabis. 1961. Grain drying theory. II. Temperature effects on drying coefficients. Journal of Agricultural Engineering Research 6:169 –74.
   Google Scholar
• Hussain, M. A., M. Shafiur Rahman, and C. W. Ng. 2002. Prediction of pores formation (porosity) in foods during drying: generic models by the use of hybrid neural network. Journal of Food Engineering, 51, 239 –48.
   Web of Science ®Google Scholar
• Izadifar, M., and M Z. Jahromi. 2007. Application of genetic algorithm for optimization of vegetable oil hydrogenation process. Journal of Food Engineering, 78, 1 –8.
   Web of Science ®Google Scholar
• Janjai, S., P. Intawee, P. Tohsing, B. Mahayothee, B. K. Bala, M. A. Ashraf, and J. Müller. 2009. Neural network modeling of sorption isotherms of longan (Dimocarpus longan Lour.) Computers and Electronics in Agriculture 66:209 –14.
   Web of Science ®Google Scholar
• Jeguirim, M., S. Dorge, A. Loth, and G. Trouvé. 2010. Devolatilization kinetics of miscanthus straw from thermogravimetric analysis. International Journal of Green Energy 7(2):164 –73.
   Web of Science ®Google Scholar
• Kablan, M. M., and T. M. Alkhamis. 1999. An experimental study for a combined system of tar sand, oil shale, and olive cake as a potential energy source in Jordan. Biomass and Bioenergy 17:507 –15.
   Web of Science ®Google Scholar
• Kamke, F. A. and J. B. Wilson. 1986. Computer simulation of a rotary dryer. Part II: Heat and mass transfer. AIChE Journal 32(2):269 –75.
   Web of Science ®Google Scholar
• Kirubakaran, V., V. Sivaramakrishnan, M. Premalatha, and P. Subramanian. 2007. Kinetics of auto-gasification of poultry litter. International Journal of Green Energy 4(5):519 –34.
   Web of Science ®Google Scholar
• Lopez-García, R., J. E. Mata, A. Rodríguez, and J. F. Ayas. 2007. Diseño de un modelo experimental de secadero rotativo de orujo de aceituna, in Book of Abstracts of 2nd International Congress of Energy and Environment Engineering and Management, Badajoz, Spain.
   Google Scholar
• Luikov, A.V. 1968. The Theory of Drying. Izd. Energiya, Moscow.
   Google Scholar
• MacKay, D. J. C. 1994. Bayesian non-linear modelling for the energy prediction competition. ASHRAE Transactions 100:1053 –62.
   Google Scholar
• MAGRAMA, 2011. Ministerio de Agricultura Alimentación y Medio Ambiente de España. On line http://www.mapa.es/estadistica/pags/anuario/2009/AE_2009_13.pdf Accessed 28/01/2011
   Google Scholar
• Manzano-Agugliaro, F., A. Alcayde, F. G. Montoya, A. Zapata-Sierra, and C. Gil. 2013. Scientific production of renewable energies worldwide: An overview. Renewable and Sustainable Energy Reviews 18:134 –43.
   Web of Science ®Google Scholar
• Marquardt, D. 1963. An algorithm for least-squares estimation of nonlinear parameters. SIAM Journal of Applied Mathematics 11:431 –41.
   Web of Science ®Google Scholar
• Mason, R. L., R. F. Gunst, and J. L. Hess. 2003. Statistical Design and Analysis of Experiments (2nd edition), New York (US): Wiley-Interscience.
   Google Scholar
• Montoya, F. G., M. G. Montoya, J. Gómez, F. Manzano-Agugliaro, and E. Alameda-Hernández. 2014. The research on energy in Spain: A scientometric approach. Renewable and Sustainable Energy Reviews 29, 173 –83.
   Web of Science ®Google Scholar
• Movagharnejad, K., and M. Nikzad. 2007. Modeling of tomato drying using artificial neural network. Computers and Electronics in Agriculture 59:78 –85.
   Web of Science ®Google Scholar
• Nguyen, D., and B. Widrow. 1990. Improving the learning speed of two layer neural networks by choosing initial values of the adaptive weights, Proceedings of International Joint Conference on Neural Networks, San Diego (CA, US).
   Google Scholar
• Ortega, A., J. M. Palomar, F. Cruz-Peragón, J. E. Mata, and V. Montoro. 2001. Control automático de secaderos. Alimentación: Equipos y Tecnología 160:111 –120.
   Google Scholar
• Overhults, D. G., G. M. White, H. E. Hamilton, and I. J. Ross. 1973. Drying soybeans with heated air. Transactions of American Society of Agricultural Engineers 16:112 –3.
   Google Scholar
• Pérez-Correa, J. R., F. Cubillos, E. Zabala, C. Shene, and P. I. Álvarez 1998. Dynamic simulation and control of direct rotary driers. Food Control 9(4):195 –203.
   Web of Science ®Google Scholar
• Perry, R. H., and D. W. Green. 2007. Perry’s Chemical Engineers’ Handbook, (8th Ed., Vol. 4), McGraw Hill.
   Google Scholar
• Porbatzki, D., M. Stemmler, and M. Müller. 2011. Release of inorganic trace elements during gasification of wood, straw, and miscanthus. Biomass and Bioenergy 35(suppl. 1):S79 –S86.
   Web of Science ®Google Scholar
• Prakash, O., and A. Kumar. 2013. Historical review and recent trends in solar drying systems. International Journal of Green Energy 10(7):690 –738.
   Web of Science ®Google Scholar
• Smirnov, M. S., and V. I. Lysenko. 1989. Equations of drying curves. International Journal of Heat and Mass Transfer 32(5):837 –41.
   Web of Science ®Google Scholar
• Togrul, I. T., and D. Pehlivan. 2002. Mathematical modelling of solar drying of apricots in thin layers. Journal of Food Engineering 55:209 –16.
   Web of Science ®Google Scholar
• Tripathy, P. P., and S. Kumar. 2009. Influence of sample geometry and rehydration temperature on quality attributes of potato dried under open sun and mixed-mode solar drying. International Journal of Green Energy 6(2):143 –56.
   Web of Science ®Google Scholar
• Velázquez-Martí, B., M. Sajdak, I. López-Cortés, and A. J. Callejón-Ferre. 2014. Wood characterization for energy application proceeding from pruning Morus alba L., Platanus hispanica Münchh. and Sophora japonica L. in urban areas. Renewable Energy 62:478 –83
   Web of Science ®Google Scholar
• Wang, C.Y., and R. P. Singh 1978. Use of variable equilibrium moisture content in modelling rice drying. Transactions of American Society of Agricultural Engineers 11:668 –72.
   Google Scholar
• Wang, F. Y., I. T. Cameron, J. D. Litster, and P. L. Douglas. 1993. A distributed parameter approach to the dynamics of rotary drying processes. Drying Technology 11(7):1641 –56.
   Web of Science ®Google Scholar
• Wu, C. W. U., and M. Hamada. 2000. Experiments: Planning, Analysis and Parameter Design Optimization. New York (US): John Wiley & Sons
   Google Scholar
• Yaldiz, O., Ertekin, C., and H. I. Uzum. 2001. Mathematical modelling of thin layer solar drying of sultana grapes. Energy 26:457 –65.
   Web of Science ®Google Scholar
• Yliniemi, L., 1999. Advanced control of a rotary drier, Ph.D. Thesis, University of Oulu (Finland).
   Google Scholar