Energy demand of parcel delivery services with a mixed fleet of electric vehicles

Drone logistics is considered as a disruptive business model reshaping logistics in the next decades. Most prominent potential advantages of drone delivery are cost savings, high speed, and high flexibility. Additionally, drones are also considered as a means of green transportation as they are elec...

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Autor principal:	Thomas Kirschstein
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Unmanned aerial vehicles Parcel delivery Electric trucks Energy consumption Renewable energy sources TJ807-830 Environmental engineering TA170-171
Acceso en línea:	https://doaj.org/article/e8a625137df64491829c28ae4a6f130d
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spelling	oai:doaj.org-article:e8a625137df64491829c28ae4a6f130d2021-11-16T04:11:33ZEnergy demand of parcel delivery services with a mixed fleet of electric vehicles2666-790810.1016/j.clet.2021.100322https://doaj.org/article/e8a625137df64491829c28ae4a6f130d2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666790821002822https://doaj.org/toc/2666-7908Drone logistics is considered as a disruptive business model reshaping logistics in the next decades. Most prominent potential advantages of drone delivery are cost savings, high speed, and high flexibility. Additionally, drones are also considered as a means of green transportation as they are electric vehicles which are potentially emission-free. To which extent these claimed potentials exist depends on the application scenario as well as the environmental and technological conditions. In this study a stationary drone delivery system is considered where parcels are delivered from a central depot to customers either by drone or electric truck. The minimal total energy consumption for serving all customers is determined when using only an electric truck or a mixed fleet of electric trucks and drones. In a simulation study the effects of structural characteristics (like numbers of customers and customer density) and environmental conditions (like wind speed and traffic conditions) on potential energy savings using drones are estimated. The results indicate that structural characteristics and environmental conditions heavily affect the energy saving potential of drones. In urban settings with high customer density, the energy saving potential is limited to at most 1% while in rural settings drones can help to save 5% of total energy. Under drone-favoring conditions like calm winds and heavy traffic, the energy saving potential can double.Thomas KirschsteinElsevierarticleUnmanned aerial vehiclesParcel deliveryElectric trucksEnergy consumptionRenewable energy sourcesTJ807-830Environmental engineeringTA170-171ENCleaner Engineering and Technology, Vol 5, Iss , Pp 100322- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Unmanned aerial vehicles Parcel delivery Electric trucks Energy consumption Renewable energy sources TJ807-830 Environmental engineering TA170-171
spellingShingle	Unmanned aerial vehicles Parcel delivery Electric trucks Energy consumption Renewable energy sources TJ807-830 Environmental engineering TA170-171 Thomas Kirschstein Energy demand of parcel delivery services with a mixed fleet of electric vehicles
description	Drone logistics is considered as a disruptive business model reshaping logistics in the next decades. Most prominent potential advantages of drone delivery are cost savings, high speed, and high flexibility. Additionally, drones are also considered as a means of green transportation as they are electric vehicles which are potentially emission-free. To which extent these claimed potentials exist depends on the application scenario as well as the environmental and technological conditions. In this study a stationary drone delivery system is considered where parcels are delivered from a central depot to customers either by drone or electric truck. The minimal total energy consumption for serving all customers is determined when using only an electric truck or a mixed fleet of electric trucks and drones. In a simulation study the effects of structural characteristics (like numbers of customers and customer density) and environmental conditions (like wind speed and traffic conditions) on potential energy savings using drones are estimated. The results indicate that structural characteristics and environmental conditions heavily affect the energy saving potential of drones. In urban settings with high customer density, the energy saving potential is limited to at most 1% while in rural settings drones can help to save 5% of total energy. Under drone-favoring conditions like calm winds and heavy traffic, the energy saving potential can double.
format	article
author	Thomas Kirschstein
author_facet	Thomas Kirschstein
author_sort	Thomas Kirschstein
title	Energy demand of parcel delivery services with a mixed fleet of electric vehicles
title_short	Energy demand of parcel delivery services with a mixed fleet of electric vehicles
title_full	Energy demand of parcel delivery services with a mixed fleet of electric vehicles
title_fullStr	Energy demand of parcel delivery services with a mixed fleet of electric vehicles
title_full_unstemmed	Energy demand of parcel delivery services with a mixed fleet of electric vehicles
title_sort	energy demand of parcel delivery services with a mixed fleet of electric vehicles
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/e8a625137df64491829c28ae4a6f130d
work_keys_str_mv	AT thomaskirschstein energydemandofparceldeliveryserviceswithamixedfleetofelectricvehicles
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Energy demand of parcel delivery services with a mixed fleet of electric vehicles

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