2022
DOI: 10.1016/j.tsep.2022.101277
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Optimization of heat exchanger design taking corrosion into account

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Cited by 4 publications
(5 citation statements)
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“…The air preheater should be made from materials with good corrosion resistance. Appropriate materials will protect the heat transfer surface from corrosion during condensation [14], [15].…”
Section: Figure 2 the Most Bottom Position Of Air Preheatermentioning
confidence: 99%
See 1 more Smart Citation
“…The air preheater should be made from materials with good corrosion resistance. Appropriate materials will protect the heat transfer surface from corrosion during condensation [14], [15].…”
Section: Figure 2 the Most Bottom Position Of Air Preheatermentioning
confidence: 99%
“…Increasing the tube thickness can provide better resistance against corrosion, ensuring longer-term operational reliability however can cause a decrease in heat transfer coefficient [14]. Increasing the tube thickness necessary in the air preheater to optimize the tube thickness and provide a longer lifetime of tube.…”
Section: Figure 3 Leakage In Air Preheater's Tubementioning
confidence: 99%
“…where vectors δT IN Based on these models, Liu et al [23] proposed an extended DP&C model by considering all the control loops between potential MVs and CVs rather than depending on a given HEN. The model is formulated as abbreviated in Equation ( 7) [19], for full details see Equations (A14)-(A19) in Appendix A.…”
Section: Extended Dpandc Model Based On Superstructure Representationmentioning
confidence: 99%
“…Moreover, the work of Kookos and Perkins [16] was further extended by providing an effective flexibility index, performing the synthesis of flexible and controllable HENs. To search for more computationally efficient techniques, some authors have focused on the heat integration between artificial neural networks and swarm algorithms [17][18][19]. Furthermore, the operability requirement in an early design stage has been widely adopted and motivated the integration of process design and control [20][21][22].…”
Section: Introductionmentioning
confidence: 99%
“…Recent literatures on this area of study are highlighted as, [29] worked on Model-based real-time prediction of heat exchanger, for predicting real-time estimation of the lowest heat exchanger surface temperature achievable via maximizing the process's potential via optimization; [30] investigated the need to optimally design heat exchanger taking corrosion into account due to heat transfer surface facing uniform corrosion (corrosion fouling)with a view that, utilizing a corroding material is feasible at a cheaper cost if corrosion rate does not surpass a particular threshold; [31] used NORSOK CO 2 corrosion rate prediction model and computational fluid dynamics for an out-header piping of air-cooled heat exchange with NORSOK M-506rand Euler-Euler technique solver, which gave good alignment of the model data with field observations and that integrating computational fluid dynamics with models, can accurately forecast regional rates of corrosion and identify areas prone to CO 2 corrosion; and [21] reviewed corrosion problems in pipelines of the oil and gas industries in API 5L steel pipe-lines, and suggested that corrosion inhibitors, protective coatings and protective coatings together with cathodic protection be widely used to enable oil and gas materials last longer(from microbial, sulfide stress cracking, H 2 -stress cracking and H 2 -induced cracking corrosion on the pipelines). The need to develop temperature models [32] to predict corrosion effect in a typical mild steel heat exchanger using two different fluids (water and MEA) at varying temperature has become necessary due to the usefulness of it in the industries.…”
Section: Introductionmentioning
confidence: 99%