Closed Cycle Drying Process to Retrain Industrial Sludge into Construction Products

Antonino D'Urso, Vito Cutraro, Carla Catania, Filippo Rapisarda, Giovanni Garaffo, Michele Calì

Abstract


The article describes a new bio-inspired method for the Advanced Treatment of Industrial Sludge with a Closed Cycle Drying Process. This process represents an innovative way of treating sludge and other shovelable residues deriving from sludge treatment with centrifuges and other industrial processes taking place in large installations, such as refineries, steel mills, chemical plants, glass processing installations, cosmetics manufacturing facilities, pharmaceutical plants. The process is under development within the research project TAFIPACC funded by Horizon 2020. In particular, the process allows retraining Industrial Sludge into construction materials using the new Closed Cycle Drying Process. The study deals with sludge produced by an industrial treatment plant/industrial discharges and civil waste water in the industrial area of Priolo Gargallo (SR) Esso-Erg-Enichem petrochemical plants and by the municipalities of Priolo Gargallo, and Melilli. The plants produce about 30 cubic meters of sludge per day, disposed of 50% in underground dumps and for the other 50% in hazardous and non hazardous waste recovery plants. The difficulty in the treatment is mainly due to the nature of these muds, as pasty and difficult to mix with additives (cement, limestone, H2O, granulometric mix). The presence of bad odours derives from light and heavy hydrocarbons, aromatics, and organic solvents (benzene, toluene, styrene, xylene, etc), causing some problems to operators and inhabitants living in the areas surrounding the plants.

Keywords


sludge treatment; recycling; cleaning; bio-inspired; de-pollution.

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References


A. Mohajerani, A. Ukwatta, T. Jeffrey-Bailey, M. Swaney, M. Ahmed, G. Rodwell and S. Setunge, “A Proposal for Recycling the World’s Unused Stockpiles of Treated Wastewater Sludge (Biosolids) in Fired-Clay Bricks.” Buildings, 9(1), 14. 2019

H. X. Weng, X. W. Ma, F. X. Fu, J. J. Zhang, Z. Liu, L. X. Tianand C. Liu, “Transformation of heavy metal speciation during sludge drying: mechanistic insights.” Journal of hazardous materials, 265, pp. 96-103. 2014.

C. H. Weng, D. F. Lin and P. C. Chiang, “Utilization of sludge as brick materials.” Advances in environmental research, 7(3), pp. 679-685. 2003

Directive, C. “Council directive on the protection of the environment, and in particular of the soil, when sewage sludge is used in agriculture.” Offic. J. Eur. Comm, 181, 0006-0012. 1986.

C. Lue-Hing, Ed., Municipal sewage sludge management: A reference text on processing, utilization and disposal. CRC Press. 1998, vol. 4.

F. D. Sanin, W. W. Clarkson, and P. A. Vesilind, “Sludge engineering: the treatment and disposal of wastewater sludges”. DEStech Publications, Inc. 2011.

G. Chen, P. Lock Yue, and A. S. Mujumdar, “Sludge dewatering and drying.” Drying Technology, 20(4-5), pp. 883-916. 2002.

B. F. C. Laurent, and J. Bridgwater, “Influence of agitator design on powder flow.” Chemical Engineering Science, 57(18), 3781-3793. 2002.

W. Sutrisno, P. Suprobo, and E. Wahyuni, “Microstructural Investigation of Reinforced Concrete Exposed to Cyclic Wetting and Drying.” International Journal on Advanced Science, Engineering and Information Technology, 8(2), pp. 411-417. 2018.

N. Malekjani, S. M. Jafari, H. Mirzaee, and M. H. Rahmati, “Design and Application of a Novel Dehumidifying System for a Fluidized Bed Dryer for the Drying of Canola Seeds.” International Journal on Advanced Science, Engineering and Information Technology, 1(1), pp. 46-49. 2011.

F. Rapisarda, R. Zammataro, and G. Di Lorenzo, “Bio-Inspired Method for Advanced Industrial Sludge Treatment with Closed Cycle Drying Process.” CEUR Workshop Proceedings, vol. 2145, pp. 139-146. 2018.

L. Cocilovo, A. Fichera, and G. Di Lorenzo, “Geometric Modeling and Optimized Design of an Hydraulic System for Concrete Batching Plant.” CEUR Workshop Proceedings, vol. 2152, pp. 37-43. 2018.

G. C. Cardarilli, L. Di Nunzio, R. Fazzolari, D. Giardino, M. Matta, M. Re, and S. Spanò, “Efficient Ensemble Machine Learning Implementation on FPGA Using Partial Reconfiguration.” International Conference on Applications in Electronics Pervading Industry, Environment and Society, pp. 253-259. Springer, Cham. 2018.

P. S. V. Sathyanarayanan, “A Cloud Based Irrigation System for Agriculture.” JOIV: International Journal on Informatics Visualization, 2(1), pp. 28-30. 2018.

M. Calì, S. M. Oliveri, R. Ambu, and G. Fichera, “An Integrated Approach to Characterize the Dynamic Behaviour of a Mechanical Chain Tensioner by Functional Tolerancing.” Strojniski Vestnik Journal of Mechanical Engineering, 64(4), pp. 245-257. 2018.

R. Ambu, “A method with a statistical approach for the evaluation of tolerance chains.” Advanced Materials Research,vol. 651, pp. 601-606, 2013.

M. Calì, S. M. Oliveri, “Application of an effective SIMP method with filtering for topology optimization of motorcycle tubular frame.” International Review of Mechanical Engineering, vol 11, Issue 11, pag. 836-844, Nov. 2017.

R. Ambu, A. Manuello Bertetto, L. Mazza, “Re-design of a guide bearing for pneumatic actuators and life tests comparison.” Tribology International 96, pp. 317-325. 2016.

M. Calì, and F. Lo Savio, “Accurate 3d reconstruction of a rubber membrane inflated during a bulge test to evaluate anisotropy.” Lecture Notes in Mechanical Engineering, 0, pp. 1221-1231, 2017.

M. Calì, and R. Ambu, “Advanced 3D photogrammetric surface reconstruction of extensive objects by UAV camera image acquisition.” Sensors , vol. 18 (9), 2018.

M. Calì, S. M. Oliveri, U. Cella, M. Martorelli, A. Gloria, and D. Speranza, “Mechanical characterization and modeling of downwind sailcloth in fluid-structure interaction analysis.” Ocean Engineering, 165, pp. 488-504. 2018.

G. Capizzi, G. Lo Sciuto, C. Napoli, and E. Tramontana, ”A multithread nested neural network architecture to model surface plasmon polaritons propagation.” Micromachines, 7(7), pp. 110. 2016.

G. Capizzi, G. Lo Sciuto, P. Monforte, and C. Napoli, “Cascade feed forward neural network-based model for air pollutants evaluation of single monitoring stations in urban areas.” International Journal of Electronics and Telecommunications, 61(4), pp. 327-332. 2015.

G. C. Cardarilli, L. Di Nunzio, R. Fazzolari, D. Giardino, M. Matta, M. Re, and S. Spanò, “AQ-Learning based PSK Symbol Synchronizer.” International Symposium on Signals, Circuits and Systems (ISSCS), pp. 1-4. IEEE. 2019.




DOI: http://dx.doi.org/10.18517/ijaseit.9.6.9930

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