248
Views
8
CrossRef citations to date
0
Altmetric
Selected Papers from EuroDrying 2015

Optimization of mixed flow dryers to increase energy efficiency

, , &
Pages 985-993 | Published online: 08 May 2017
 

ABSTRACT

Agricultural driers are used for grain or maize drying with a limited annual operating time of about 100–1,000 h. To compensate the increasing costs of energy, permanent optimization of the drying process and the drying apparatus is necessary to increase energy efficiency. To attain higher energy efficiency, the drying potential of air should be fully utilized. The objective of this study is to investigate the medium flow in mixed flow dryers to identify adverse drying conditions. The investigation is based on experimental and numerical modeling and takes into account the bed motion (discrete element method) and the drying air flow (computational fluid dynamics). The results show superposition of a homogeneous air flow distribution with a particle flow profile, resulting in locally inhomogeneous residence time, different drying conditions, and ultimately uneven grain drying. Uneven drying is one of the main reasons for high energy consumption. Considering the results, a new mixed flow dryer geometry was developed which should equalize the drying process and thus be more energy efficient.

Additional information

Funding

The authors gratefully thank the Federal Office for Agriculture and Food (Bundesanstalt für Landwirtschaft und Ernährung, BLE) for funding this project.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 760.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.