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TWO ANALYTICAL METHODS FOR OPTIMISING SOLAR PROCESS HEAT SYSTEM USED IN A PASTEURISING PLANT
Authors:
Rajab Ghabour1
, Ljubiša Josimović2, Péter Korzenszky3
1Hungarian University of Agriculture and Life Sciences, Mechanical engineering doctoral school, Gödöllő, Hungary
2Ljubiša Josimović, Academy of Vocational Studies Southern Serbia, Department of Technological Art Studies, Leskovac, Serbia
3Hungarian University of Agriculture and Life Sciences, Institute of machinery and informatics, Gödöllő, Hungary
Received: 20.06.2021.
Accepted: 11.11.2021.
Available: 31.12.2021.
Abstract:
With more than 27% of the final heat demand in Europe consumed by the industrial sector, solar heat for the industrial process is one of the hottest topics nowadays, leading to many initiatives to make pilot projects in central and southern Europe. This paper analysed two analytical methods to optimise the essential working parameters (solar collectors, glycol ratio, volume flow rate, relative tank capacity, and tank height/diameter ratio) in a pasteurising plant located in Budapest, Hungary. The first method is an analytical approach to determine the optimum values considering the other variables at fixed levels. In contrast, the other one is linear modelling using response surface method RSM and R script coding program to identify the most influential factors using Pareto plots and then discussing the most important two factors’ interactions. This research aims to identify which method is better for optimising solar heat for industrial (SHIP) systems. The paper compares the previously mentioned methods, and the results are compared with the results from the other authors. As a result, all factors showed similar magnitudes in both methods except for relative flow rate which was neutral in the analytical method and positive in the RSM.
References:
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[2] A. Hajipour, E. Shojaeezadeh, S.K. Asadi Yousef‐abad, K. Goudarzi, Experimental investigation of thermal performance in an advanced solar collector with helical tube, International Journal of Engineering, Transactions A: Basics, 27 (7), 2014: 1149‐1154.
[3] W. Weiss, M. Rommel, Process Heat Collectors. State of the Art within Task 33/IV, IEA SHC‐Task 33 and SolarPACES‐Task IV: Solar Heat for Industrial Processes. IEA and AEE INTEC, Gleisdorf, 2008.
[4] P. Horta, Process Heat Collectors: State of the Art and available medium temperature collectors. IEA SHC and SolarPACES, 2016.
[5] Š. Škrbić, A. Ašonja, R. Prodanović, V. Ristić, G. Stevanović, M. Vulić, Z. Janković, A. Radosavac, S. Igić, Analysis of Plant Production Obtained Biomass in Function of Sustainable Energy. Sustainability, 12 (13), 2020: 5486.
https://doi.org/10.3390/su12135486
[6] S. Mekhilef, R. Saidur, A. Safari, A review on solar energy use in industries. Renewable and Sustainable Energy Reviews, 15 (4), 2011: 1777‐1790. https://doi.org/10.1016/j.rser.2010.12.018
[7] D.Y. Goswami, F. Kreith, Energy Efficiency and Renewable Energy Handbook. CRC Press, Boca Raton, USA, 2015. https://doi.org/10.1201/b18947
[8] S.Heß, A. Oliva, Solar Process Heat Generation: Guide to Solar Thermal System Design for Selected Industrial Processes. O.Ö. Energiesparverband, Linz, Austria, 2011.
[9] K. Hennecke, B. Hoffschmidt, W. Meinecke, M. Blanco, The Future for Renewable Energy 2: Prospects and Directions, Solar process heat, 222‐230, Routledge, Great Britain, 2013.
[10] B. Schmitt, S. Hess, “Best practice” Series of Case Study Reports from Demonstration Projects, IEA SHC and SolarPACES, 2016.
[11] A. Franco, Methods for the sustainable design of solar energy systems for industrial process heat. Sustainability, 12 (12), 2020: 5217. https://doi.org/10.3390/su12125127
[12] C. Brunner, B. Slawitsch, K. Giannakopoulou, H. Schnitzer, Industrial Process Indicators and Heat Integration in Industries. Joanneum research, Graz, Austria, 2008.
[13] A. Ašonja, E. Desnica, Lj. Radovanović, Energy Efficiency Analysis of Corn Cob Used as a Fuel. Energy Sources, Part B: Economics, Planning and Policy, 12 (1), 2017: 1‐7. http://doi.org/10.1080/15567249.2014.881931
[14] L. Kumar, M. Hasanuzzaman, N.A. Rahim, Global advancement of solar thermal energy technologies for industrial process heat and its future prospects: A review. Energy Conversion and Management, 195, 2019: 885‐908.
https://doi.org/10.1016/j.enconman.2019.05.081
[15] N. S. Suresh, B. S. Rao, Solar energy for process heating: A case study of select Indian industries. Journal of Cleaner Production, 151, 2017: 439‐451. https://doi.org/10.1016/j.jclepro.2017.02.190
[16] C. Brunner, B. Muster‐Slawitsch, E. Heigl, H. Schweiger, C. Vannoni, EINSTEIN – Expert System for an Intelligent Supply of Thermal Energy in Industry ‐ Audit Methodology and Software Tool. Chemical engineering transactions, 21, 2010: 685‐690. https://doi.org/10.3303/CET1021115
[17] J.A. Duffie, W.A. Beckman, Solar Engineering of Thermal Processes. John Wiley & Sons, Inc., New Jersey, USA, 2013. https://doi.org/10.1002/9781118671603.app1
[18] A. Hobbi, K. Siddiqui, Optimal design of a forced circulation solar water heating system for a residential unit in cold climate using TRNSYS. Solar Energy, 83 (5), 2009: 700‐714. https://doi.org/10.1016/j.solener.2008.10.018
[19] R. Majumdar, S.K. Saha, A. Patki, Novel dimension scaling for optimal mass flow rate estimation in low temperature flat plate solar collector based on thermal performance parameters. Thermal Science and Engineering Progress, 19, 2020: 100569. https://doi.org/10.1016/j.tsep.2020.100569
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)
Volume 10
Number 3
September 2025
Last Edition
Volume 10
Number 3
September 2025
How to Cite
R. Ghabour, L. Josimović, P. Korzenszky, Two Analytical Methods for Optimising Solar Process Heat System Used in a Pasteurising Plant. Applied Engineering Letters, 6(4), 2021: 166–174.
https://doi.org/10.18485/aeletters.2021.6.4.4
More Citation Formats
Ghabour, R., Josimović, L., & Korzenszky, P. (2021). Two Analytical Methods for Optimising Solar Process Heat System Used in a Pasteurising Plant. Applied Engineering Letters, 6(4), 166–174.
https://doi.org/10.18485/aeletters.2021.6.4.4
Ghabour, Rajab, et al. “Two Analytical Methods for Optimising Solar Process Heat System Used in a Pasteurising Plant.” Applied Engineering Letters, vol. 6, no. 4, 2021, pp. 166–74,
https://doi.org/10.18485/aeletters.2021.6.4.4.
Ghabour, Rajab, Ljubiša Josimović, and Péter Korzenszky. 2021. “Two Analytical Methods for Optimising Solar Process Heat System Used in a Pasteurising Plant.” Applied Engineering Letters 6 (4): 166–74.
https://doi.org/10.18485/aeletters.2021.6.4.4.
Ghabour, R., Josimović, L. and Korzenszky, P. (2021). Two Analytical Methods for Optimising Solar Process Heat System Used in a Pasteurising Plant. Applied Engineering Letters, 6(4), pp.166–174. doi: 10.18485/aeletters.2021.6.4.4.
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TWO ANALYTICAL METHODS FOR OPTIMISING SOLAR PROCESS HEAT SYSTEM USED IN A PASTEURISING PLANT
Authors:
Rajab Ghabour1
, Ljubiša Josimović2, Péter Korzenszky3
1Hungarian University of Agriculture and Life Sciences, Mechanical engineering doctoral school, Gödöllő, Hungary
2Ljubiša Josimović, Academy of Vocational Studies Southern Serbia, Department of Technological Art Studies, Leskovac, Serbia
3Hungarian University of Agriculture and Life Sciences, Institute of machinery and informatics, Gödöllő, Hungary
Received: 20.06.2021.
Accepted: 11.11.2021.
Available: 31.12.2021.
Abstract:
With more than 27% of the final heat demand in Europe consumed by the industrial sector, solar heat for the industrial process is one of the hottest topics nowadays, leading to many initiatives to make pilot projects in central and southern Europe. This paper analysed two analytical methods to optimise the essential working parameters (solar collectors, glycol ratio, volume flow rate, relative tank capacity, and tank height/diameter ratio) in a pasteurising plant located in Budapest, Hungary. The first method is an analytical approach to determine the optimum values considering the other variables at fixed levels. In contrast, the other one is linear modelling using response surface method RSM and R script coding program to identify the most influential factors using Pareto plots and then discussing the most important two factors’ interactions. This research aims to identify which method is better for optimising solar heat for industrial (SHIP) systems. The paper compares the previously mentioned methods, and the results are compared with the results from the other authors. As a result, all factors showed similar magnitudes in both methods except for relative flow rate which was neutral in the analytical method and positive in the RSM.
Keywords:
Solar Thermal, T*Sol, RSM, R Script, Process Heat.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)
Volume 10
Number 3
September 2025
Last Edition
Volume 10
Number 3
September 2025