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.
CITATION STYLE
Guerrazzi, E., Mininno, V., Aloini, D., Dulmin, R., Scarpelli, C., & Sabatini, M. (2019). Energy evaluation of deep-lane autonomous vehicle storage and retrieval system. Sustainability (Switzerland), 11(14). https://doi.org/10.3390/su11143817
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