Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31107
Minimization Entropic Applied to Rotary Dryers to Reduce the Energy Consumption

Authors: I. O. Nascimento, J. T. Manzi


The drying process is an important operation in the chemical industry and it is widely used in the food, grain industry and fertilizer industry. However, for demanding a considerable consumption of energy, such a process requires a deep energetic analysis in order to reduce operating costs. This paper deals with thermodynamic optimization applied to rotary dryers based on the entropy production minimization, aiming at to reduce the energy consumption. To do this, the mass, energy and entropy balance was used for developing a relationship that represents the rate of entropy production. The use of the Second Law of Thermodynamics is essential because it takes into account constraints of nature. Since the entropy production rate is minimized, optimals conditions of operations can be established and the process can obtain a substantial gain in energy saving. The minimization strategy had been led using classical methods such as Lagrange multipliers and implemented in the MATLAB platform. As expected, the preliminary results reveal a significant energy saving by the application of the optimal parameters found by the procedure of the entropy minimization It is important to say that this method has shown easy implementation and low cost.

Keywords: Drying, Thermodynamic optimization, entropy minimization, modeling dryers

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1018


[1] Costa D. R., Filho A.F.L., Silva J.S., Queiroz D.M., Lima P.N, Análise de Custo de Sistemas de Secagem de Milho em Secadores Mecânicos Agricultural University of Viçosa- 2009.
[2] Correa, J.R. Pérez, F. Cubillos, E. Zavala, C. Shene and P.I. Alvarez – Dynamic simulation and control f direct rotary dryers. Food Control-1998 Vol.9 Number 4.
[3] Eykhoff P. (1974) System Identification: Parameter and State Estimation, Wiley and Sons.
[4] Foust, AS, Wenzel, LA, Clump, CW, Bad, L. Andersen, LB, Principles of Unit Operations, Two Guanabara, Rio de Janeiro, in 1982.
[5] Manzi, J., Vianna, R. and Bishop, H. - Direct Entropy Minimization Applied to the Production of Propylene Glycol, Chemical Engineering and Processing 48 (2009) 470-475.
[6] Synthesis Report of the National Energy Balance 2015- EPE- Energy Research Company. Ministry of Mines and Energy (Available in Accessed December 1, 2015.)
[7] Tsao, G.,Wheelock, T.D. Drying Theory and Calculations, Iowa State University- Chemical Engineering- 1967
[8] Van Ness, HC, Smith, JM and Abbott, MM Introduction to Thermodynamics of Chemical Engineering, 7th ed. Rio de Janeiro, Editora LTC 2012.