Stochastic Analysis of Grain Drying with Unheated Air Under Two Different Climates

Ryniecki, A.; Pawłowska, Agnieszka; Moliński, Krzysztof

doi:10.1080/07373930600778411

Cited by 9 publications

(4 citation statements)

References 4 publications

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“…During a typical near‐ambient drying process in a thick bed, the flow of moisture from seeds to air occurs generally only in a relatively thin layer, called the drying zone. It is a slow drying process, lasting from a few to around a dozen days, depending on the drying potential of atmospheric air in the postharvest season in different years (Ryniecki et al. 2006).…”

Section: Resultsmentioning

confidence: 99%

“…The cost of drying constitutes a large proportion of total incurred in rapeseed production; thus, drying at near‐ambient temperature in a thick seedbed has gained popularity (Tys and Rybacki 2001; Pagano and Crozza 2002; Ryniecki 2005). In the near‐ambient drying process, air with a drying potential, changing stochastically depending on weather conditions, is blown into a thick bed of seeds (Nellist 1998; Ryniecki et al. 2006).…”

Section: Introductionmentioning

confidence: 99%

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Degradation of Tocopherols During Near‐ambient Rapeseed Drying

Gawrysiak‐Witulska¹,

Siger

Nogala‐Kałucka

2009

Journal of Food Lipids

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Increased interest manifested by consumers in products rich in biologically active components makes it necessary to minimize their loss during drying and storage of raw materials for food production. In this study, the effect of drying conditions and further storage of rapeseed on changes in contents of tocopherols (T) and was examined. Seeds of rape cv. Californium, Elektra and Livius, dried after harvest using the near-ambient drying method in a bed of 2-m thickness and air heated to a temperature of 60, 80 and 100C, were used. Contents of T and PC-8 were determined immediately after drying and after 6 and 12 months of storage at 10 Ϯ 2C. Quality and quantity of antioxidants in seeds were determined using high-performance liquid chromatography. The near-ambient seed drying method resulted in a decrease in T content by 6-11%, while that for hot air drying was 4-8%. Seed storage reduced the level of T by a further 23-30%. Similar dependences were found for PC-8. The analyzed results demonstrated the effect of varietal differences, drying conditions and storage time on the contents of T and PC-8 in rapeseed. PRACTICAL APLICATIONSDrying of rapeseed is one of the most energy-intensive stages of its production. At the same time, one needs to consider that these seeds, as 3 Corresponding biological material, are highly sensitive to thermal treatment. Thus, search for best drying conditions with special emphasis on the preservation of bioactive components that affect human health is necessary. The analyses carried out compared the range of loss of natural antioxidants, tocochromanols, during drying and further storage of rapeseed dried using an energy-saving nearambient drying and dried using hot air. Near-Ambient DryingSeeds of cv. Californium were dried using the near-ambient method from initial moisture content of 16.2% on a farm belonging to the Agricultural University of Poznań (at present, renamed to the Poznań University of Life Sciences). The Experimental Station presented by Gawrysiak-Witulska et al. (2008) was built on the basis of a 28-ton metal silo with a diameter of 3.2 m, equipped with a computer controller (type BIT-04) of the near-ambient drying process with a set of measurement probes, a fan and an electronic air heater. During the experiment, the BIT-04 controlled the operation of the air heater so that the air blown into the silo had an adequate drying potential. The experiment 526 M. GAWRYSIAK-WITULSKA, A. SIGER and M. NOGALA-KALUCKA

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Degradation of Tocopherols During Near‐ambient Rapeseed Drying

Gawrysiak‐Witulska¹,

Siger

Nogala‐Kałucka

2009

Journal of Food Lipids

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“…Bulk convective drying and cooling, i.e., the so‐called near‐ambient drying, is a drying method that ensures mild conditions of postharvest preservation. The temperature of the air applied for drying is close to the ambient temperature and varies stochastically according to the climatic conditions (Ryniecki et al, ). Temperature fluctuation during near‐ambient drying and storage may cause moisture migration in a mass of rapeseeds (Jian et al, ).…”

Section: Introductionmentioning

confidence: 99%

Management Control Points Related to the Lag Phase of Fungal Growth in a Stored Rapeseed Ecosystem

Wawrzyniak

Gawrysiak‐Witulska

Ryniecki

2018

J Americ Oil Chem Soc

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The quality of rapeseed oil largely depends on the quality of postharvest preservation of raw seeds. Fungal infestation at early stages of the storage of rapeseeds is a major cause of their spoilage. The knowledge of relations between the storage conditions, fungal contamination, and technological quality of rapeseeds is essential to specify key control points that can be used to improve postharvest management systems and maintain rapeseed quality. The aim of this study was to define decisive control points on the basis of the kinetics of early mold growth in ecosystems of rapeseeds in a hazardous initial microbiological state, stored under various water activity and temperature conditions (a w =0.78-0.96 and t =12-30 C). A correlation between the acid value (AV), germination, and fungal infestation of seeds was found in ecosystems with significant mold activity. The analysis of the mold growth kinetics with regard to AV, seed germination, and visible mold time showed that the detection of early (invisible) fungal growth could be a good basis for determining the time during which rapeseeds should be protected from deterioration. The research results showed how to use the length of the lag phase to identify decisive control points, which are necessary to improve the existing control systems of rapeseed preservation and storage.

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“…However, many of these models feature simplified solutions to facilitate their mathematical formalization and applicability [27]. In situations where a quick solution to a problem is required, for example, when process parameters are automatically controlled, mathematical models are often replaced with statistical models [28,29] or neural network models [30,31]. Models belonging to the first and second group are applied to describe grain drying in various types of industrial dryers.…”

Section: Drying Chamber 231 Classification Of the Modelsmentioning

confidence: 99%

Generalized Mathematical Model of the Grain Drying Process

Myhan

Markowski²

2022

Processes

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Convective cereal grain drying is an energy-intensive process. Mathematical models are applied to analyze and optimize grain drying processes in different types of dryers and in different stages of drying to improve final grain quality and reduce energy consumption. The aim of the present study was to develop a generalized mathematical model of the grain drying process that accounts for all drying stages, including loading and unloading of unprocessed grain, drying, and cooling of dry grain. The developed mathematical model is a system of algebraic equations, where the calculated coefficients are determined by the thermophysical and diffusive properties of dried grain. The model was validated for batch drying of wheat, canola, and corn grain, as well as continuous flow drying of wheat grain. The results were compared with published findings. The relationships between energy consumption during drying and drying time vs. air temperature at the dryer inlet and air stream volume were determined. Dryer capacity and drying conditions specified by the manufacturers, as well as loading and unloading capacity, were considered during batch drying. Continuous flow drying simulations were conducted in counter-flow, parallel-flow, and cross-flow mode. Simulation results indicate that the proposed models correctly depicted process flow in both batch and continuous flow dryers.

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Stochastic Analysis of Grain Drying with Unheated Air Under Two Different Climates

Cited by 9 publications

References 4 publications

Degradation of Tocopherols During Near‐ambient Rapeseed Drying

Degradation of Tocopherols During Near‐ambient Rapeseed Drying

Management Control Points Related to the Lag Phase of Fungal Growth in a Stored Rapeseed Ecosystem

Generalized Mathematical Model of the Grain Drying Process

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