Non-linear optimisation and energy integration of a particles separation–classification process

Abstract

The gas–solid separation has several industrial applications in engineering process. The collection efficiency and the energy consumption are critical variables in particles separation process. In this study, a non-linear programming problem is proposed to maximise the cyclone efficiency in a 34,560.0 ton/year particles separation–classification plant. A new process integration scheme is proposed to energy consumption minimisation. The units included in the model are a powder feeder, a high efficiency cyclone, a bag filter and a blower. Stairmand and Swift’s high efficiency cyclones models are evaluated and compared. Four particulate materials are considered: limestone, dolomite, sawdust and toner. The particles diameters range studied is 0.1–1000 $ \upmu $ m. Mass and energy balances are solved with an initial solid concentration of 500 g/m $ ^3 $ . Stairmand’s cyclone proved to be more efficient than Swift for all materials analysed. The highest cyclone efficiency is achieved for sawdust ( $ > $ 99%). The cyclone separates more than 34,000 ton/year of particles $ >10\, \upmu $ m. The energy integration scheme consumes 43% less energy than the basic one for all cases studied. The proposed optimisation model results a valuable tool for optimal process design, reducing the environment process impact and adaptable to operate at high temperatures values with different materials.

Keywords

• energy integration
• particles separation processes
• non-linear optimisation
• cyclone