Abstract

In this study, an energy consumption model of a decanter centrifuge was proposed, in particular for a technologically evolved machine equipped with an electromechanical recovery system. This model should be suitably coupled with an auto-adaptive controlling technique used to accurately manage the olive oil process. To achieve this goal, a solid physical and theoretical basis that simple to implement is required. To date there have only been limited scientific studies modelling energy consumption applied to the machines used in olive oil extraction processes. Therefore, the model was developed using fluid dynamic analysis and physical constraints to give it a solid basis. It was then simplified sufficiently for future implementation in automatic machine systems. The empirical model was validated through power measurements conducted in two harvesting seasons under varying operating conditions. The model estimates the power absorbed by the bowl and that produced and recovered by the screw, with high accuracy in each harvesting season. When considering the two harvesting seasons as a single season, the prediction accuracy remains considerable, despite a marginal increase in errors (correlation coefficient greater than 0.90). Finally, the model indicates that the screw conveyor speed is the most important parameter to achieve the desired energy recovery level, while the differential speed, which is a process parameter, has only a negligible impact on energy saving.

Highlights

  • Manufacturing systems typically convert raw materials into products using electrical energy while simultaneously generating waste and emissions [1,2]

  • The first two values correspond to the first harvesting season and the last two to the second harvesting season

  • When the paste flow rate increases from 4075 kg/h to 4800 kg/h and ∆n remains constant (Figures 4 and 5), the active power absorbed by the bowl increases by at least 3.0 kW compared with the screw-recovered power of approximately 2.0 kW

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Summary

Introduction

Manufacturing systems typically convert raw materials into products using electrical energy while simultaneously generating waste and emissions [1,2]. CO2 emissions; there is an increasing requirement to reduce the energy consumption in manufacturing [3]. Improving energy efficiency in machining processes can reduce energy consumption, minimize environmental impact, and assist sustainable manufacturing [4,5]. The motivation for this study was to improve the modelling capability for energy requirements in mechanical processing for the virgin olive oil (VOO) sector, and in particular, the centrifugal extraction. Energies 2019, 12, 2592 through a decanter centrifuge This particular sector requires a significant effort to bridge the gap between new technologies and validations by scientific studies. Increasing studies in this specific field could allow for faster technological development and greater knowledge of both manufacturers and operators in the sector

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