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

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 an...

Full description

Bibliographic Details
Main Authors:	Emanuele Guerrazzi, Valeria Mininno, Davide Aloini, Riccardo Dulmin, Claudio Scarpelli, Marco Sabatini
Format:	Article
Language:	English
Published:	MDPI AG 2019-07-01
Series:	Sustainability
Subjects:	sustainability energy evaluation energy recovery autonomous vehicle storage and retrieval system simulation
Online Access:	https://www.mdpi.com/2071-1050/11/14/3817

id	doaj-c696c0309f2a47b99c14c0a93b3b8f4c
record_format	Article
spelling	doaj-c696c0309f2a47b99c14c0a93b3b8f4c2020-11-24T21:46:36ZengMDPI AGSustainability2071-10502019-07-011114381710.3390/su11143817su11143817Energy Evaluation of Deep-Lane Autonomous Vehicle Storage and Retrieval SystemEmanuele Guerrazzi0Valeria Mininno1Davide Aloini2Riccardo Dulmin3Claudio Scarpelli4Marco Sabatini5Department of Information Engineering, University of Pisa, Via Girolamo Caruso 16, 56122 Pisa, ItalyDepartment of Energy, Systems, Territory, and Construction Engineering, University of Pisa, Largo Lucio Lazzarino 1, 56122 Pisa, ItalyDepartment of Energy, Systems, Territory, and Construction Engineering, University of Pisa, Largo Lucio Lazzarino 1, 56122 Pisa, ItalyDepartment of Energy, Systems, Territory, and Construction Engineering, University of Pisa, Largo Lucio Lazzarino 1, 56122 Pisa, ItalyDepartment of Energy, Systems, Territory, and Construction Engineering, University of Pisa, Largo Lucio Lazzarino 1, 56122 Pisa, ItalyCassioli Group srl, Località Guardavalle 63, 53049 Torrita di Siena, ItalyWith 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.https://www.mdpi.com/2071-1050/11/14/3817sustainabilityenergy evaluationenergy recoveryautonomous vehicle storage and retrieval systemsimulation
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Emanuele Guerrazzi Valeria Mininno Davide Aloini Riccardo Dulmin Claudio Scarpelli Marco Sabatini
spellingShingle	Emanuele Guerrazzi Valeria Mininno Davide Aloini Riccardo Dulmin Claudio Scarpelli Marco Sabatini Energy Evaluation of Deep-Lane Autonomous Vehicle Storage and Retrieval System Sustainability sustainability energy evaluation energy recovery autonomous vehicle storage and retrieval system simulation
author_facet	Emanuele Guerrazzi Valeria Mininno Davide Aloini Riccardo Dulmin Claudio Scarpelli Marco Sabatini
author_sort	Emanuele Guerrazzi
title	Energy Evaluation of Deep-Lane Autonomous Vehicle Storage and Retrieval System
title_short	Energy Evaluation of Deep-Lane Autonomous Vehicle Storage and Retrieval System
title_full	Energy Evaluation of Deep-Lane Autonomous Vehicle Storage and Retrieval System
title_fullStr	Energy Evaluation of Deep-Lane Autonomous Vehicle Storage and Retrieval System
title_full_unstemmed	Energy Evaluation of Deep-Lane Autonomous Vehicle Storage and Retrieval System
title_sort	energy evaluation of deep-lane autonomous vehicle storage and retrieval system
publisher	MDPI AG
series	Sustainability
issn	2071-1050
publishDate	2019-07-01
description	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.
topic	sustainability energy evaluation energy recovery autonomous vehicle storage and retrieval system simulation
url	https://www.mdpi.com/2071-1050/11/14/3817
work_keys_str_mv	AT emanueleguerrazzi energyevaluationofdeeplaneautonomousvehiclestorageandretrievalsystem AT valeriamininno energyevaluationofdeeplaneautonomousvehiclestorageandretrievalsystem AT davidealoini energyevaluationofdeeplaneautonomousvehiclestorageandretrievalsystem AT riccardodulmin energyevaluationofdeeplaneautonomousvehiclestorageandretrievalsystem AT claudioscarpelli energyevaluationofdeeplaneautonomousvehiclestorageandretrievalsystem AT marcosabatini energyevaluationofdeeplaneautonomousvehiclestorageandretrievalsystem
_version_	1725901231334883328

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

Similar Items