Loading…
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...
Saved in:
Published in: | Cleaner Engineering and Technology 2021-12, Vol.5, p.100322, Article 100322 |
---|---|
Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c410t-e60fc94660a1f070716fe786d71d891fae8892018d5cb86b3e85648926626c693 |
---|---|
cites | cdi_FETCH-LOGICAL-c410t-e60fc94660a1f070716fe786d71d891fae8892018d5cb86b3e85648926626c693 |
container_end_page | |
container_issue | |
container_start_page | 100322 |
container_title | Cleaner Engineering and Technology |
container_volume | 5 |
creator | Kirschstein, Thomas |
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. |
doi_str_mv | 10.1016/j.clet.2021.100322 |
format | article |
fullrecord | <record><control><sourceid>elsevier_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_e8a625137df64491829c28ae4a6f130d</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S2666790821002822</els_id><doaj_id>oai_doaj_org_article_e8a625137df64491829c28ae4a6f130d</doaj_id><sourcerecordid>S2666790821002822</sourcerecordid><originalsourceid>FETCH-LOGICAL-c410t-e60fc94660a1f070716fe786d71d891fae8892018d5cb86b3e85648926626c693</originalsourceid><addsrcrecordid>eNp9kFFLwzAUhYMoOOb-gE_5A51J2t2m4IuMqYOBCPocsuRmS-nWkZTq_r2pFfHJp3s53HM49yPklrM5Zxzu6rlpsJsLJngSWC7EBZkIAMjKisnLP_s1mcVYM8bEgueCywl5XR0x7M7U4kEfLW0dPelgsElC43sMZxox9N5gpB--21NND_4TLXUNYjecY4OmC97QHvc-9Yg35MrpJuLsZ07J--PqbfmcbV6e1suHTWYKzroMgTlTFQBMc8dKVnJwWEqwJbey4k6jlJVgXNqF2UrY5igXUCQJQICBKp-S9ZhrW12rU_AHHc6q1V59C23YKR26oZJCqWH4uLQOiqLiUlRGSI2FBsdzZlOWGLNMaGMM6H7zOFMDY1WrgbEaGKuRcTLdjyZMX_Yeg4rG49Gg9SExSTX8f_YvgUGDNQ</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Energy demand of parcel delivery services with a mixed fleet of electric vehicles</title><source>ScienceDirect Journals</source><creator>Kirschstein, Thomas</creator><creatorcontrib>Kirschstein, Thomas</creatorcontrib><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.</description><identifier>ISSN: 2666-7908</identifier><identifier>EISSN: 2666-7908</identifier><identifier>DOI: 10.1016/j.clet.2021.100322</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Electric trucks ; Energy consumption ; Parcel delivery ; Unmanned aerial vehicles</subject><ispartof>Cleaner Engineering and Technology, 2021-12, Vol.5, p.100322, Article 100322</ispartof><rights>2021 The Author</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c410t-e60fc94660a1f070716fe786d71d891fae8892018d5cb86b3e85648926626c693</citedby><cites>FETCH-LOGICAL-c410t-e60fc94660a1f070716fe786d71d891fae8892018d5cb86b3e85648926626c693</cites><orcidid>0000-0002-4081-4549</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S2666790821002822$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,3549,27924,27925,45780</link.rule.ids></links><search><creatorcontrib>Kirschstein, Thomas</creatorcontrib><title>Energy demand of parcel delivery services with a mixed fleet of electric vehicles</title><title>Cleaner Engineering and Technology</title><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.</description><subject>Electric trucks</subject><subject>Energy consumption</subject><subject>Parcel delivery</subject><subject>Unmanned aerial vehicles</subject><issn>2666-7908</issn><issn>2666-7908</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9kFFLwzAUhYMoOOb-gE_5A51J2t2m4IuMqYOBCPocsuRmS-nWkZTq_r2pFfHJp3s53HM49yPklrM5Zxzu6rlpsJsLJngSWC7EBZkIAMjKisnLP_s1mcVYM8bEgueCywl5XR0x7M7U4kEfLW0dPelgsElC43sMZxox9N5gpB--21NND_4TLXUNYjecY4OmC97QHvc-9Yg35MrpJuLsZ07J--PqbfmcbV6e1suHTWYKzroMgTlTFQBMc8dKVnJwWEqwJbey4k6jlJVgXNqF2UrY5igXUCQJQICBKp-S9ZhrW12rU_AHHc6q1V59C23YKR26oZJCqWH4uLQOiqLiUlRGSI2FBsdzZlOWGLNMaGMM6H7zOFMDY1WrgbEaGKuRcTLdjyZMX_Yeg4rG49Gg9SExSTX8f_YvgUGDNQ</recordid><startdate>202112</startdate><enddate>202112</enddate><creator>Kirschstein, Thomas</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-4081-4549</orcidid></search><sort><creationdate>202112</creationdate><title>Energy demand of parcel delivery services with a mixed fleet of electric vehicles</title><author>Kirschstein, Thomas</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c410t-e60fc94660a1f070716fe786d71d891fae8892018d5cb86b3e85648926626c693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Electric trucks</topic><topic>Energy consumption</topic><topic>Parcel delivery</topic><topic>Unmanned aerial vehicles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kirschstein, Thomas</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Cleaner Engineering and Technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kirschstein, Thomas</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Energy demand of parcel delivery services with a mixed fleet of electric vehicles</atitle><jtitle>Cleaner Engineering and Technology</jtitle><date>2021-12</date><risdate>2021</risdate><volume>5</volume><spage>100322</spage><pages>100322-</pages><artnum>100322</artnum><issn>2666-7908</issn><eissn>2666-7908</eissn><abstract>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.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.clet.2021.100322</doi><orcidid>https://orcid.org/0000-0002-4081-4549</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2666-7908 |
ispartof | Cleaner Engineering and Technology, 2021-12, Vol.5, p.100322, Article 100322 |
issn | 2666-7908 2666-7908 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_e8a625137df64491829c28ae4a6f130d |
source | ScienceDirect Journals |
subjects | Electric trucks Energy consumption Parcel delivery Unmanned aerial vehicles |
title | Energy demand of parcel delivery services with a mixed fleet of electric vehicles |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T06%3A23%3A09IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-elsevier_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Energy%20demand%20of%20parcel%20delivery%20services%20with%20a%20mixed%20fleet%20of%20electric%20vehicles&rft.jtitle=Cleaner%20Engineering%20and%20Technology&rft.au=Kirschstein,%20Thomas&rft.date=2021-12&rft.volume=5&rft.spage=100322&rft.pages=100322-&rft.artnum=100322&rft.issn=2666-7908&rft.eissn=2666-7908&rft_id=info:doi/10.1016/j.clet.2021.100322&rft_dat=%3Celsevier_doaj_%3ES2666790821002822%3C/elsevier_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c410t-e60fc94660a1f070716fe786d71d891fae8892018d5cb86b3e85648926626c693%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |