Cleaning schedule for increased energy efficiency on heat exchanger process: Sugar plant case study
Dyan Hatining Ayu Sudarni
Abstract
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Dyan Hatining Ayu Sudarni
Abstract
Open-access reader
Abstract THE process in a plant, which has had integration heat for energy recovery, fouling or the formation of a precipitate on a heat exchanger (heat an exchanger) often pose a problem in the production of operational. As increase energy consumption so as to cause economic loss. Loss can be reduced if it is undertaken cleansing routinely. Next up is how problems to timetable cleansing instrument an exchanger heat exchanger (heat in a complex in an industry that efficient). A schedule cleaning in heat may be based on knowledge about the behaviour of fouling how fast the thermal resistance. In general research will be conducted to use a calculation model of mathematics for scheduling optimizations cleaning on heat exchanger network (HENs and it can be applied in the chemical industry. Fouling increase to the function of time, in this study model mathematics developed to determine many the act of cleaning and time where the money to be cleared industry that operational can optimally.
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Abstract THE process in a plant, which has had integration heat for energy recovery, fouling or the formation of a precipitate on a heat exchanger (heat an exchanger) often pose a problem in the production of operational. As increase energy consumption so as to cause economic loss. Loss can be reduced if it is undertaken cleansing routinely. Next up is how problems to timetable cleansing instrument an exchanger heat exchanger (heat in a complex in an industry that efficient). A schedule cleaning in heat may be based on knowledge about the behaviour of fouling how fast the thermal resistance. In general research will be conducted to use a calculation model of mathematics for scheduling optimizations cleaning on heat exchanger network (HENs and it can be applied in the chemical industry. Fouling increase to the function of time, in this study model mathematics developed to determine many the act of cleaning and time where the money to be cleared industry that operational can optimally.
Key concepts: Heat exchanger, Fouling, Process engineering, Heat recovery ventilation, Clearance, Schedule, Environmental science, Waste management