Investigation of some Energy and Exergy Factors during Ohmic Heating Processing of Sour Orange

Document Type : Research Article

Authors

• M. Vahedi Torshizi ¹
• M. Azadbakht ¹
• M. Kashaninejad ²

¹ Department of Bio-System Mechanical Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran

² Department of Food Science and Technology, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran

https://doi.org/10.22067/jam.v11i2.80760

Abstract

Introduction
Food is composed of various compounds, and when the food quality expires, it becomes inappropriate for consumption and the end of life leads to some pathogenic microorganisms in food. So food processing is essential. In recent years, various heat treatments have been considered that have various disadvantages, so researchers are looking for alternative technologies in industrial processing to overcome these problems. Electric treatments play an important role in food heating technology and one of the methods of electric thermal processing is ohmic processing, that ohmic heat is based on the flow of electricity through a product. The purpose of this study was to investigate the effect of voltage and weight loss on the amount of energy and exergy during this process in order to obtain the best amount of energy consumed during the heating process, since the most common way to heal the heating is by heating. In addition to maintaining the product's qualitative characteristics, the product has to carefully monitor its own system parameters.
Materials and Methods
The sour oranges were purchased from a garden located in the city of Gorgan, Golestan province. The prepared oranges were washed and divided into two halves in the middle and immediately after purchase, all samples of juice were taken manually in the same conditions and the samples were prepared to conduct the test during the ohmic process with voltage gradients and the percentages of different weight loss to investigate the amount of energy efficiency, exergy efficiency, exergy loss, and improvement potential during the process. For the heating process, three voltage gradients of 8.33, 10.83 and 13.33 V cm^-1 and three percentage values of weight loss of 10% (from 90 g to 81 g), 20% (from 90 g to 72 g), and 30% (from 90 g to 63 g) were selected. Then, the energy and exergy consumed during the process were calculated and analyzed using a factorial experiment in a completely randomized design with SAS statistical software.
Results and Discussion
Based on the results, it can be concluded that the voltage gradient and weight loss percentages are significant for energy efficiency, exergy efficiency, exergy, and potential improvement at 1% level. Increasing the voltage gradient increases the efficiency of energy and exergy and reduces the potential for recovery and exergy is wasted. The highest energy efficiency was 91.6% in the 13.83 V cm^-1 voltage gradient and the weight loss percentages 10% and the lowest value was 51.51% in the voltage gradient of 8.33 V cm^-1 and the weight loss percentages 30%. The maximum improvement potential was 8.33 V cm^-1 and the weight reduction was 30% and the lowest value was at 13.33 V cm^-1 voltage gradient and 10% weight loss percentages. The highest exergy efficiency of 59.51% was found in the 13.83 V cm^-1 voltage gradient and the weight loss percentage was 30% and the lowest value was 31.88% on a voltage gradient of 8.33 V cm^-1 and a weight percentage of 10%.
Conclusion
- By increasing the voltage gradient, the energy efficiency had increased and there was a significant difference between all the volatility gradients.
- For exergy efficiency, when the voltage gradient increased, the exergy efficiency amount increased, and in all percentages weight loss was a significant difference between the voltage gradient.
- By increasing the voltage gradient, the amount of exergy loss decreased significantly and with increasing percentage weight loss, this amount was significantly increased.
- The improvement potential was reduced by increasing the voltage gradient and there was a significant difference between the voltage gradients for the improvement potential.

Keywords

• Energy and exergy
• Ohmic process
• Sour orange
• Statistical Analysis

20.1001.1.22286829.1400.11.2.23.8

Open Access

©2020 The author(s). This article is licensed under Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source.

References

1. Abdelmotaleb, A., M. M. El-Kholy, N. H. Abou-El-Hana, and M. A. Younis. 2009. Thin Layer Drying of Garlic Slices Using Convection and Combined (Convection - Infrared) Heating Modes. Misr Journal of Agricultural Engineering 26: 251-81.

2. Aghbashlo, M., H. Mobli, Sh. Rafiee, and A. Madadlou. 2013. A Review on Exergy Analysis of Drying Processes and Systems. Renewable and Sustainable Energy Reviews 22: 1-22.

3. Azadbakht, M., H. Aghili, A. Ziaratban, and M. Vehedi Torshizi. 2017. Application of Artificial Neural Network Method to Exergy and Energy Analyses of Fluidized Bed Dryer for Potato Cubes. Energy 120: 947-58.

4. Azadbakht, M., M. Vahedi Torshizi, F. Noshad, and A. Rokhbin. 2018. Application of Artificial Neural Network Method for Prediction of Osmotic Pretreatment Based on the Energy and Exergy Analyses in Microwave Drying of Orange Slices. Energy 165: 836-45.

5. Azadbakht, M., M. Vahedi Torshizi, A. Ziaratban, and H. Aghili. 2017. Energy and Exergy Analyses during Eggplant Drying in a Fluidized Bed Dryer. International Commission of Agricultural and Biosystems Engineering. 19 (3): 177-82.

6. Boldaji Torkian, M., A. M. Borghaee, B. Beheshti, and S. E. Hosseini. 2017. Investigation of Voltage Gradient and Electrode Type Effects on Processing Time, Energy Consumption and Product Quality in Production of Tomato Paste by Ohmic Heating. Journal of Agricultural Machinery 7 (1): 152-164. (In Farsi).

7. Bozkurt, H., and F. Icier. 2009a. Optimization of Ohmic Cooking of Grounded Beef-Fat Blends: Exergy Approach. Bio and Electrotechnologies 21-23.

8. Bozkurt, H., and F. Icier. 2010. Exergetic Performance Analysis of Ohmic Cooking Process. Journal of Food Engineering 100 (4): 688-95.

9. Cokgezme, O. F., S. Sabanci, M. Cevik, H. Yildiz, and F. Icier. 2017. Performance Analyses for Evaporation of Pomegranate Juice in Ohmic Heating Assisted Vacuum System. Journal of Food Engineering 207 (4): 1-9.

10. Darvishi, H., M. Azadbakht, and B. Noralahi. 2018. Experimental Performance of Mushroom Fl Uidized-Bed Drying : Effect of Osmotic Pretreatment and Air Recirculation. Renewable Energy 120: 201-8.

11. Darvishi, H., A. Hosainpour, F. Nargesi, and A. Fadavi. 2015. Exergy and Energy Analyses of Liquid Food in an Ohmic Heating Process: A Case Study of Tomato Production. Innovative Food Science and Emerging Technologies 31: 73-82.

12. Darvishi, H., A. Hosainpour, F. Nargesi, M. H. Khoshtaghaza, and H. Torang. 2011. Ohmic Processing: Temperature Dependent Electrical Conductivities of Lemon Juice. Modern Applied Science 5 (1): 209-16.

13. Darvishi, H., M. H. Khostaghaza, and Gh. Najafi. 2013. Ohmic Heating of Pomegranate Juice: Electrical Conductivity and pH Change. Journal of the Saudi Society of Agricultural Sciences 12 (2): 101-8.

14. Ghnimi, S., and N. Flach-Malaspina. 2007. Energy Efficiency of a Novel Ohmic Heating Technology by Fluid Jet Materiel and methods. Energy 49-58.

15. Halleux, D. De, G. Piette, M. Buteau, and M. Dostie. 2005. Ohmic Cooking of Processed Meats : Energy Evaluation and Food Safety Considerations. Canadian Biosystems Engineering 41-47.

16. Hammond, G. P., and A. J. Stapleton. 2001. Exergy Analysis of the United Kingdom Energy System. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy 215 (2): 141-62.

17. Han, H. Z., B. X. Li, H. Wu, and W. Shao. 2015. Multi-objective shape optimization of double pipe heat exchanger with inner corrugated tube using RSM method. International Journal of Thermal Sciences 90: 173-186. https://doi.org/10.1016/j.ijthermalsci.2014.12.010.

18. Heldman, D., and M. Carmen. 2014. Encyclopedia of Agricultural, Food, and Biological Engineering, -2 Volume Set (Print Version). Crc Press.

19. Hepbasli, A. 2008. A Key Review on Exergetic Analysis and Assessment of Renewable Energy Resources for a Sustainable Future. Renewable and Sustainable Energy Reviews 12 (3): 593-661.

20. Icier, F. 2009. Influence of Ohmic Heating on Rheological and Electrical Properties of Reconstituted Whey Solutions. Food and Bioproducts Processing 87 (4): 308-16.

21. Icier, F., and C. Ilicali. 2005. Temperature Dependent Electrical Conductivities of Fruit Purees during Ohmic Heating. Food Research International 38 (10): 1135-42.

22. Jindarat, W., P. Rattanadecho, and S. Vongpradubchai. 2011. Analysis of Energy Consumption in Microwave and Convective Drying Process of Multi-Layered Porous Material inside a Rectangular Wave Guide. Experimental Thermal and Fluid Science 35 (4): 728-37.

23. Mokhtarian, M., H. Tavakolipour, and A. Kalbasi-Ashtari. 2016. Energy and Exergy Analysis in Solar Drying of Pistachio with Air Recycling System. Drying Technology 34 (12): 1484-1500.

24. Moreno, J., C. Espinoza, R. Simpson, G. Petzold, H. Nuñez, and M. P. Gianelli. 2016. Application of Ohmic Heating/vacuum Impregnation Treatments and Air Drying to Develop an Apple Snack Enriched in Folic Acid. Innovative Food Science and Emerging Technologies 33: 381-86.

25. Moreno, J., R. Simpson, M. Sayas, I. Segura, O. Aldana, and S. Almonacid. 2011. Influence of Ohmic Heating and Vacuum Impregnation on the Osmotic Dehydration Kinetics and Microstructure of Pears (Cv . Packham ’ S Triumph). Journal of Food Engineering 104 (4): 621-27.

26. Myers, R.H., D.C. Montgomery., and C.M. Anderson-Cook, 2009. Response Surface Methodology: Process and Product Optimization Using Designed Experiments 3rd Edition (3rd ed.). Wiley.

27. Sastry, sudhir k., S. Palaniappan. 1992. mathematical modeling and experimental studies on ohmic heating of liquid-particle mixtures in a static heater. Journal of Food Process Engineering 15: 241-261.

28. Sharqawy, M., V.J.H. Lienhard, S.M. Zubair. 2010. The Thermophysical Properties of Seawater : A Review of Existing Correlations and Data Accessed Thermophysical Properties of Seawater : A Review of Existing Correlations and Data. Desalination and Water Treatment 16: 354-80.

29. Tull, A. 1996. Food and Nutrition. 3rd ed. Oxford University Press.

30. Varghese, K., M. C. Shiby, Pandey, K. Radhakrishna, and A. S. Bawa. 2012. Technology, Applications and Modelling of Ohmic Heating: A Review. Journal of Food Science and Technology 51 (10): 2304-17.

31. Zell, M., J. G. Lyng, D. J. Morgan, and D. A. Cronin. 2011. Minimising Heat Losses during Batch Ohmic Heating of Solid Food. Food and Bioproducts Processing 89 (2): 128-34.