In recent years, the planned replacement of traditional fuels with biofuels is the object of frequent debate and interest, as the behaviour and effects of these substances on the structural materials constituting the storage units are still unknown [1]. Moreover, limited information is available on the hazards of the process and the assessment of the risk associated with biofuel production and storage requires improvements [2]. The relevance of this issue needs operators to adopt a control plan for the equipment to ensure safe ageing. Equipment ageing has been identified in many cases as the primary cause of the release of hazardous substances. Atmospheric storage tanks, particularly the bottom, are critical from this viewpoint if adequate monitoring and integrity management plans are not adopted. Bottom corrosion control is carried out by means of thickness measurements, usually every 10 years or more, as part of a complete inspection of the entire tank based on widespread standards [3]. Accurate bottom integrity measurements can only be made during scheduled stops, when the tank is taken out of service, emptied, thoroughly cleaned, and visually inspected. In this context, the behaviour of innovative biofuels and advantages related to their adoption requires laboratory and modelling expertise to evaluate the corrosion rate. Based on widespread standards [3], the corrosion rate is usually estimated as the ratio of the thickness reduction and the time interval between two inspections. However, discrete thickness measurements cannot determine exactly the maximum corrosion depth of the bottom of storage tanks, where materials may exhibit localized corrosion in the form of pits. To assure reliability of a given material under a certain environmental condition, it is thus needed to make a quantitative prediction of the local corrosion rate.
Hossein Moradi;Gabriele Grifo;Giancarlo Consolo;Maria Francesca Milazzo;Edoardo Proverbio (09-11 giugno 2024).Numerical Investigations on Localized Corrosion from Single and Multiple Pits in Fuel Tanks.
Numerical Investigations on Localized Corrosion from Single and Multiple Pits in Fuel Tanks
Hossein Moradi
;Gabriele Grifo;Giancarlo Consolo;Maria Francesca Milazzo;Edoardo Proverbio
Abstract
In recent years, the planned replacement of traditional fuels with biofuels is the object of frequent debate and interest, as the behaviour and effects of these substances on the structural materials constituting the storage units are still unknown [1]. Moreover, limited information is available on the hazards of the process and the assessment of the risk associated with biofuel production and storage requires improvements [2]. The relevance of this issue needs operators to adopt a control plan for the equipment to ensure safe ageing. Equipment ageing has been identified in many cases as the primary cause of the release of hazardous substances. Atmospheric storage tanks, particularly the bottom, are critical from this viewpoint if adequate monitoring and integrity management plans are not adopted. Bottom corrosion control is carried out by means of thickness measurements, usually every 10 years or more, as part of a complete inspection of the entire tank based on widespread standards [3]. Accurate bottom integrity measurements can only be made during scheduled stops, when the tank is taken out of service, emptied, thoroughly cleaned, and visually inspected. In this context, the behaviour of innovative biofuels and advantages related to their adoption requires laboratory and modelling expertise to evaluate the corrosion rate. Based on widespread standards [3], the corrosion rate is usually estimated as the ratio of the thickness reduction and the time interval between two inspections. However, discrete thickness measurements cannot determine exactly the maximum corrosion depth of the bottom of storage tanks, where materials may exhibit localized corrosion in the form of pits. To assure reliability of a given material under a certain environmental condition, it is thus needed to make a quantitative prediction of the local corrosion rate.File | Dimensione | Formato | |
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