Abstract

Biomass pelleting process strongly depends on a number of variables hard to be simultaneously controlled. This paper suggests a method to ensure pellets moisture optimization and process energy saving. An experimental testbed was arranged in order to validate the performance of the proposed strategy. It is based on a closed-loop control system that regulates material moisture and flow rate, but its robustness is affected by the control-loop delay (the actuator delay is about 10 minutes) and by the random arrangement of the pellets inside the cooler that strongly affects product moisture (the measurement errors are not negligible). To overcome those problems, a robust statistical approach was adopted to reach the best trade-off between estimation accuracy and computational effort. It was derived by the well-known Random Close Packing model and statistical estimator. Experimental results prove the effectiveness of the proposed approach that provides moisture errors less than 7.2% with a continuous limitation of energy consumption. The present work is part of Idea75’s project – SEI Smart supervisor for Energy efficiency optimization of Industrial processes – funded by Regione – PO FESR 2007-2013, Asse I, Linea di Intervento 1.1. Azione 1.1.3 – Aiuti alle piccole imprese innovative di nuova costituzione.

Autore Pugliese

• Manca Fabio

Tutti gli autori

• MANCA F.

Titolo volume/Rivista

Non Disponibile

Anno di pubblicazione

2015

ISSN

Non Disponibile

ISBN

9788888793771

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

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Numero di citazioni Scopus

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Ultimo Aggiornamento Citazioni

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Settori ERC

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Codici ASJC

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