Energy Evaluation of Deep-Lane Autonomous Vehicle Storage and Retrieval System

Sustainability

Marco Sabatini¹  Claudio Scarpelli²  Valeria Mininno²  Davide Aloini²  Riccardo Dulmin²  Emanuele Guerrazzi³ 

[1] Cassioli Group srl, Località Guardavalle 63, 53049 Torrita di Siena, Italy;Department of Energy, Systems, Territory, and Construction Engineering, University of Pisa, Largo Lucio Lazzarino 1, 56122 Pisa, Italy;Department of Information Engineering, University of Pisa, Via Girolamo Caruso 16, 56122 Pisa, Italy;

关键词: sustainability;    energy evaluation;    energy recovery;    autonomous vehicle storage and retrieval system;    simulation;   

DOI  :  10.3390/su11143817

来源: DOAJ

【 摘 要 】

With the rise of a consciousness in warehousing sustainability, an increasing number of autonomous vehicle storage and retrieval systems (AVS/RS) is diffusing among automated warehouses. Moreover, manufacturers are offering the option of equipping machines with energy recovery systems. This study analyzed a deep-lane AVS/RS provided with an energy recovery system in order to make an energy evaluation for such a system. A simulator able to emulate the operation of the warehouse has been developed, including a travel-time and an energy model to consider the real operating characteristics of lifts, shuttles and satellites. Referring to a single command cycle with a basic storing and picking algorithm for multiple-depth channels, energy balance and recovery measurements have been presented and compared to those of a traditional crane-based system. Results show significant savings in energy consumption with the use of a deep-lane AVS/RS.

【 授权许可】

Unknown