Modelling For Optimisation Of Coffee Rasting - amazonia.fiocruz.br

Accept: Modelling For Optimisation Of Coffee Rasting

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This paper presents a quantitative pollutant discharge model for a typical molybdenum roasting plant, which combines the best available technology and object-oriented Petri net concepts. The proposed model was used Coffse verify whether the best available technology in a molybdenum roasting process meeting the source pollutant emission limits by comparing the results of multiple simulations with online monitoring data records.

Theoretical SO 2 emission values were obtained via multiple simulations and compared with the online monitoring data of a typical molybdenum roasting plant to verify the authenticity Optimieation the online monitoring data. The relationship between the different operating parameters and desulfurization efficiency is established through analyzing the historical operation parameters of the enterprise and response surface method.

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All authors agreed to state that required Fir and materials relevant will be available for further validity of the results presented. Program Comput Softw — Catal Today — Int J Comput Integr Manuf — Energy Fuel — Resour Conserv Recycl — De B, Cataldo M, Ermei S, Jarno W et al Optimization of a wet flue gas desulfurization scrubber through mathematical modeling of limestone dissolution experiments.

Ind Eng Chem Res — Springer Berlin Heidelberg. Gu S, Yang Z, Chen Z et al Dissolution reactivity and kinetics of low-grade limestone for wet flue gas desulfurization. Catal Surv Jpn — Chem Eng Technol — Water Sci Technol — J Northeast Univ 37 — Fuel Process Technol — Int J Miner Process — Energy Environ Protect —44, Google Scholar.]