INVESTIGADORES
BARTOSIK Ricardo
artículos
Título:
Effect of Site Specific Weather Conditions on the Energy Consumption of a High Temperature Continuous Flow Corn Dryer
Autor/es:
DIEGO DE LA TORRE; RICARDO BARTOSIK; ANALIA GASTON; RITA ABALONE
Revista:
Agricultural Engineering International: CIGR Journal
Editorial:
CIGR
Referencias:
Año: 2014 vol. 16 p. 217 - 227
ISSN:
1682-1130
Resumen:
The  estimation  of  drying  energy  consumption  is  important  for  grain  elevators  and  the  grain  processing  industry  in order  to  compute  the  drying  cost  and  also  for  properly  planning  the  energy  supply  during  the  drying  season. It  is  also important  for  making  energy  policies  related  to  agriculture.Locations  with  different  weather  should  have  different  drying performances but this effect was not sufficiently studied in previous research. The main goal of this study was to determine the  energy  requirement  for  drying  yellow  dent  corn  with  a  continuous  flow  high  temperature  dryer  for  ten  locations  in Argentina with different weather conditions. The study was carried out using historical weather data of ten locations scattered through the corn producing region of Argentina, and a mathematical model to simulate the drying conditions of corn from 17 and  20%  initial  moisture  content  (m.c.i)  to  15%  final  moisture  content  (m.c.f). The  specific  total  energy  consumption  for drying  corn  from  17%  m.c.i was  8,207  kJ  per  kg  of  water  evaporated  (kg w -1)  and  for 20%  m.c.i was  5,535  kJ/kg w on  average across  locations,  resulting  in  an  average  drying  efficiency  of  31%  for  17%  m.c.i and  46%  for  20%  m.c.i. The  specific convective heat losses to the ambient under the average weather condition of the locations considered were 196 kJ/kgw for 17% m.c.i, and 136 kJ/kgw for 20% m.c.i, less than 3% of the total drying energy. The ambient temperature affected the total drying energy,  which,  in general,  decreased  about  1.25%  per  each  °C  of  ambient  temperature  increase. Drying  energy  efficiency could be improved by selecting ambient temperature conditions.