Thermal efficiency and drying Behaviour of Yam slices in a dryer driven by the waste heat of exhaust gases

Ononogbo, C.; Nwakuba, N. R.; Nwaji, Godswill N.; Nwufo, O. C.; Nwosu, E.C.; Okoronkwo, C. A.; Igbokwe, J. O.; Anyanwu, E.E.

doi:10.1016/j.sciaf.2022.e01310

Cited by 7 publications

(6 citation statements)

References 18 publications

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“…If both sides of the equation are considered a natural logarithm, Equation ( 3) is obtained which is a straight line [26]. Putting the slope of this line equal with the slope of the fitted line of the natural logarithm, the value of D eff can be determined (Equation ( 4)) [27].…”

Section: Effective Moisture Diffusivitymentioning

confidence: 99%

“…Compared to the thicker slices, the moisture can be easily removed from the surface of the thinner products [34]. A study on drying yam slices under a hot air dryer stated that the D t decreases by reducing the ST [26]. Comparison of the D t of ultrasound pretreated carrot slices with control samples shows that ultrasound pretreatment can accelerate the drying process.…”

Section: Drying Time (D T )mentioning

confidence: 99%

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Quantifying of the Best Model for Prediction of Greenhouse Gas Emission, Quality, and Thermal Property Values during Drying Using RSM (Case Study: Carrot)

Taghinezhad

Kaveh²,

Szumny

et al. 2023

Applied Sciences

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The aim of this study is to use the response surface methodology (RSM) to mathematically model the response parameters and emission of greenhouse gases (GHG) and optimize the drying variables for a carrot dried with the microwave method using various pretreatments. To this end, the influence of the drying parameters (independent), such as microwave power and slice thickness dried by two pretreatments of ultrasonication at 30 °C for 10 min and blanching at 70 ℃ for 2 min, was explored on the dependent (response) parameters including the thermal properties (drying time, effective moisture diffusion coefficient (Deff), specific energy consumption, energy efficiency, quality features (color changes and shrinkage), and GHG emission (including CO2 and NOx). It should be mentioned that the emission of GHG was determined based on the energy consumption of various types of power plants such as the gas turbine steam power turbine, and combined cycle turbines using various fuels such as natural gas, heavy oil, and gas oil. The results indicated that the ultrasonication and blanching pretreatments can decrement the drying time (linearly), energy consumption (linearly or quadratically), shrinkage(quadratically), and color changes(quadratically) and enhance the Deff (linearly) and energy efficiency (linearly or quadratically) in all samples with R2 > 0.86. Moreover, the shortest drying time (42 min), lowest SEC (9.51 MJ/kg), and GHG emission ((4279.74 g CO2 in the combined cycle turbines plant, and 18.16 g NOX in the gas turbine plant) with natural gas for both plants) were recorded for the samples pretreated with blanching while the lowest color changes (13.69) and shrinkage (21.29) were observed in the ultrasonicated samples. Based on the optimization results, a microwave power of 300 W and steam power turbine of 2 mm were the best variables with a desirability of about 80% which resulted in the highest-quality products at the lowest GHG emission.

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Section: Effective Moisture Diffusivitymentioning

confidence: 99%

Section: Drying Time (D T )mentioning

confidence: 99%

Quantifying of the Best Model for Prediction of Greenhouse Gas Emission, Quality, and Thermal Property Values during Drying Using RSM (Case Study: Carrot)

Taghinezhad

Kaveh²,

Szumny

et al. 2023

Applied Sciences

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“…However, this problem was solved by replacing the turbine-dynamo arrangement with a solar panel as the source of electricity for the dryer, thereby utilizing the energy content of the exhaust gas only for heating the drying air, which improved the heating rate of the drying chamber significantly [ 125 ]. The dryer was successfully used to dry maize grains and sliced yam samples [ [126] , [127] , [128] ].…”

Section: Opportunities For Waste Heat Recovery In the Food Processing...mentioning

confidence: 99%

Opportunities of waste heat recovery from various sources: Review of technologies and implementation

Ononogbo

Nwosu²,

Nwakuba³

et al. 2023

Heliyon

Self Cite

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“…Temperatur di dalam ruang pengering harus dijaga stabil dan seragam untuk mendapatkan efisiensi yang maksimal [7]. Parameter unjuk kerja mesin pengering dapat juga dinyatakan dengan laju pengeringan [12,13] maupun energi konsumsi spesifik [14].…”

Section: Pendahuluanunclassified

Pemanfaatan Limbah Sekam Padi Sebagai Sumber Kalor Ruang Pengering Produk Pertanian

Susastriawan,

Surahmanto,

Rahayu

2023

JSE

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Limbah biomassa di Indonesia sangat berpotensi sebagai sumber energi kalor ruang pengering produk pertanian. Penelitian ini bertujuan untuk memanfaatkan limbah sekam padi menjadi sumber kalor untuk pengeringan produk pertanian serta mengetahui unjuk kerja ruang pengering dengan bahan bakar sekam padi. Penelitian diawali dengan pembuatan rancang bangun mesin pengering yang dilanjutkan dengan pengujian unjuk kerja. Mesin pengering memiliki komponen utama berupa tungku pembakaran, ruang pengering, blower, dan suction fan. Pengujian unjuk kerja mesin pengering dilakukan untuk pengeringan cabai. Tujuan penelitian adalah untuk mengetahui pengaruh mode aliran konveksi flue gas terhadap efisiensi dan konsumsi energi spesifik (SEC) mesin pengering. Hasil penelitian menunjukkan bahwa mesin pengering dapat beroperasi dengan baik. Efisiensi mesin pengering aliran konveksi paksa lebih tinggi dari efisiensi mesin pengering aliran konveksi alami dan sebaliknya SEC mesin pengering aliran paksa lebih rendah dari SEC mesin pengering aliran konveksi alami. Efisiensi mesin pengering mencapai 25,12% untuk aliran konveksi paksa dan 10,50% untuk aliran konveksi alami. Sedangkan SEC mesin pengering aliran konveksi paksa sebesar 198370,37 kJ/kg uap air dan 918171,42 kJ/kg uap air untuk aliran konveksi alami.

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Thermal efficiency and drying Behaviour of Yam slices in a dryer driven by the waste heat of exhaust gases

Cited by 7 publications

References 18 publications

Quantifying of the Best Model for Prediction of Greenhouse Gas Emission, Quality, and Thermal Property Values during Drying Using RSM (Case Study: Carrot)

Quantifying of the Best Model for Prediction of Greenhouse Gas Emission, Quality, and Thermal Property Values during Drying Using RSM (Case Study: Carrot)

Opportunities of waste heat recovery from various sources: Review of technologies and implementation

Pemanfaatan Limbah Sekam Padi Sebagai Sumber Kalor Ruang Pengering Produk Pertanian

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