Artificial-intelligence-model to optimize biocide dosing in seawater-cooled industrial process applications considering environmental, technical, energetic, and economic aspects.
Sergio García, David Boullosa-Falces, David S Sanz, Alfredo Trueba, Miguel Angel Gomez-Solaetxe
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引用次数: 0
Abstract
This research introduces an Artificial Intelligence (AI) based model designed to concurrently optimize energy supply management, biocide dosing, and maintenance scheduling for heat exchangers. This optimization considers energetic, technical, economic, and environmental considerations. The impact of biofilm on heat exchangers is assessed, revealing a 41% reduction in thermal efficiency and a 113% increase in flow frictional resistance of the fluid compared to the initial state. Consequently, the pump's power consumption, required to maintain hydraulic conditions, rises by 9%. The newly developed AI model detects the point at which the heat exchanger's performance begins to decline due to accumulating dirt, marking day 44 of experimentation as the threshold to commence the antifouling biocide dosing. Leveraging this AI model to monitor heat exchanger efficiency represents an innovative approach to optimizing antifouling biocide dosing and reduce the environmental impact stemming from industrial plants.
期刊介绍:
Biofouling is an international, peer-reviewed, multi-discliplinary journal which publishes original articles and mini-reviews and provides a forum for publication of pure and applied work on protein, microbial, fungal, plant and animal fouling and its control, as well as studies of all kinds on biofilms and bioadhesion.
Papers may be based on studies relating to characterisation, attachment, growth and control on any natural (living) or man-made surface in the freshwater, marine or aerial environments, including fouling, biofilms and bioadhesion in the medical, dental, and industrial context.
Specific areas of interest include antifouling technologies and coatings including transmission of invasive species, antimicrobial agents, biological interfaces, biomaterials, microbiologically influenced corrosion, membrane biofouling, food industry biofilms, biofilm based diseases and indwelling biomedical devices as substrata for fouling and biofilm growth, including papers based on clinically-relevant work using models that mimic the realistic environment in which they are intended to be used.