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