Modelling scaling growth in heat transfer surfaces and its application on the design of heat exchangers. (1st October 2018)

• Record Type: Journal Article
• Authors: Lugo-Granados, Hebert; Picón Núñez, Martín
• Is Part Of: Energy. Volume 160(2018)
• Page Start: 845
• Page End: 854
• Publication Date: 2018-10-01
• Subjects: Scaling -- Fouling resistance -- Fouling model -- Viscous forces -- Inertial forces -- Calcium carbonate; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2018.07.059
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: The aim of this paper is to present a new model for the prediction of scaling formation in tubular heat exchangers. In design, the effect of fouling upon the heat transfer performance is accounted for by using fixed values of the fouling factor. In real operation, however, fouling strongly depends upon the prevailing operating conditions and they change over time. Under some conditions, the growth of fouling with time can be linear or it can show an asymptotic behaviour. Fouling factors reported in the open literature are not accompanied with specific information regarding the conditions at which they were obtained such as velocity, temperature, concentration and pH. Therefore, the designer must exercise caution when choosing fouling factors since this choice has an impact upon the size of the unit and upon capital expenditure. In view of the above, the purpose of this paper is to present a new fouling model for the prediction of scaling to assist in the design of heat exchangers and in the assessment of their thermal-hydraulic performance. The new model is validated against experimental data published in the open literature and its performance compared to other published theoretical models. The new model shows improved results. Highlights: A new model for the prediction of scaling formation is presented. The model considers the effect of velocity upon fouling removal. Inertial and viscous forces considered in the correction factor. The model is validated against published experimental data. Improved performance compared to other published models.