The greenBag, the New Solution in Waste Separation

Paolo Sperandio, Massimiliano De Luca, Alexandro Catini


The greenBag is an innovative households’ Used Cooking Oil (UCO) disposal solution aiming to allow the collection of this feedstock interesting European but also Chinese and US market. The possibility to collect UCO produced by households represents the possibilities to increase the amount of biodiesel, respecting the ILUC directive, of the 60%. So far, there are no concrete solutions able to properly respond to this need, due to their huge prizes and due to the low performances, they provide. greenBag is a solution coming from an intensive research activity completed by an infield validation. It has been designed to reply to all the requirements coming from families and from the waste management companies, the two actors involved in UCO disposal. Indeed, two different types of users in general, and in particular the UCO collection, characterize waste collection solutions: families - that want simple solutions, easy to use and able to reward them; waste collection companies – that want cheap solutions, able to trace waste disposals and able to assure them a high quality of wastes. The currently available market solutions are all focused on waste companies and the current innovative ideas designed by Universities and Startups focus their attention only on one of the two involved actors. greenBag is currently the sole solution that aims to satisfy both actors, exploiting the disposal traceability not only to know how many waste people produces but also to quantify their efforts and making them aware about the overall disposal process.


UCO; used cooking oils; biodiesel; circular economy; separation of waste.

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Faizal, Muhammad. "Utilization Biomass and Coal Mixture to Produce Alternative Solid Fuel for Reducing Emission of Green House Gas." International Journal on Advanced Science, Engineering, and Information Technology 7.3 (2017): 950-956.

Anggraini, Tuty, Sahadi Didi Ismanto, and Dahlia Dahlia. "The Making of Transparent Soap from Green Tea Extract." International Journal on Advanced Science, Engineering, and Information Technology 5.4 (2015): 349-356.

Fatriasari, Widya, et al. "Lignin and cellulose changes of betung bamboo (Dendrocalamus asper) pretreated microwave heating." International Journal on Advanced Science, Engineering, and Information Technology 6.2 (2016): 186-195.

Capizzi, Giacomo, et al. "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 (2015): 327-332.

Greenea, Analysis of the current development of household UCO collection systems in the EU 23 May 2016

Tsay M, “The Impact of Double Counting Legislation on UCOME & TME. 1st Annual Biofuels Conference 2012-Tackling Fragmentation in the International Biofuels Sector“. June 28–29, 2012, Amsterdam

Matta, M., Cardarilli, G.C., Di Nunzio, L., Fazzolari, R., Giardino, D., Re, M., Silvestri, F., Spanò, S. Q-RTS: A real-time swarm intelligence based on multi-agent Q-learning (2019) Electronics Letters, 55 (10), pp. 589-591.

Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Daniele Giardino, Marco Matta, Marco Re, Francesca Silvestri and Sergio Spanò Efficient Ensemble Machine Learning implementation on FPGA using Partial Reconfiguration (2019) Lecture Notes in Electrical Engineering ARTICLE IN PRESS

Ammendola, Roberto, and Pierpaolo Loreti. "Design and Evaluation of a Scalable Engine for 3D-FFT Computation in an FPGA Cluster." International Journal on Advanced Science, Engineering, and Information Technology 9.2 (2019): 677-684.

Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Marco Re, Sergio Spanó AW-SOM, an Algorithm for High-speed Learning in Hardware Self-Organizing Maps IEEE Transactions on Circuits and Systems II

Susi, Gianluca, et al. "A Neuro-Inspired System for Online Learning and Recognition of Parallel Spike Trains, Based on Spike Latency, and Heterosynaptic STDP." Frontiers in neuroscience 12 (2018).

Gian Carlo Cardarilli; Luca Di Nunzio; Rocco Fazzolari; Alberto Nannarelli; Marco Re; Sergio Spanò N-Dimensional Approximation of Euclidean Distance IEEE Transactions on Circuits and Systems II: Express Briefs ARTICLE IN PRESS

Detti, Andrea, et al. "Application of information centric networking to nosql databases: the spatio-temporal use case." 2017 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN). IEEE, 2017.

Bracciale, Lorenzo, et al. "Lightweight Named Object: an ICN-based Abstraction for IoT Device Programming and Management." IEEE Internet of Things Journal (2019).

Loreti, P., Catini, A., De Luca, M., Bracciale, L., Gentile, G. and Di Natale, C., 2019. “The Design of an Energy Harvesting Wireless Sensor Node for Tracking Pink Iguanasâ€. Sensors, 19(5), p.985.

Bracciale, L., Catini, A., Gentile, G., Loreti, P. Delay tolerant wireless sensor network for animal monitoring: The Pink Iguana case (2017) Lecture Notes in Electrical Engineering, 429, pp. 18-26.

Beritelli, Francesco, et al. "Automatic heart activity diagnosis based on Gram polynomials and probabilistic neural networks." Biomedical engineering letters 8.1 (2018): 77-85.

Silvestri, F., Acciarito, S., Cardarilli, G.C., Khanal, G.M., Di Nunzio, L., Fazzolari, R., Re, M. FPGA implementation of a low-power QRS extractor (2019) Lecture Notes in Electrical Engineering, 512, pp. 9-15.

Makky, Muhammad, and Peeyush Soni. "Towards sustainable green production: exploring automated grading for oil palm fresh fruit bunches (FFB) using machine vision and spectral analysis." International Journal on Advanced Science, Engineering and Information Technology 3.1 (2013): 1-5.

Capizzi, G., and G. Tina. "Long-term operation optimization of integrated generation systems by fuzzy logic-based management." Energy 32.7 (2007): 1047-1054



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