Network design and technology management for waste to energy production: An integrated optimization framework under the principles of circular economy
The design of waste to bioenergy supply chains (W-BESC) is critically important for meeting the circular economy (CE) goals, whilst also ensuring environmental sustainability in the planning and operation of energy systems. This study develops a novel optimization methodology to aid sustainable desi...
Gespeichert in:
Veröffentlicht in: | Energy (Oxford) 2018-01, Vol.143, p.911-933 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 933 |
---|---|
container_issue | |
container_start_page | 911 |
container_title | Energy (Oxford) |
container_volume | 143 |
creator | Yılmaz Balaman, Şebnem Wright, Daniel G. Scott, James Matopoulos, Aristides |
description | The design of waste to bioenergy supply chains (W-BESC) is critically important for meeting the circular economy (CE) goals, whilst also ensuring environmental sustainability in the planning and operation of energy systems. This study develops a novel optimization methodology to aid sustainable design and planning of W-BESC that comprise multiple technologies as well as multiple product and feedstock types. The methodology identifies the optimum supply chain configuration and plans the logistics operations in a given region to meet the energy demand of specified nodes. A scenario based fuzzy multi objective modelling approach is proposed and utilized to capture the economic and environmental sustainability aspects in the same framework. We test the proposed model using the entire West Midlands (WM) region from the United Kingdom (UK) as a case study. In this scope, a comprehensive regional supply chain is designed to meet the energy and biofertilizer demand of specific nodes considering available waste and crop type biomass in the region. Further analysis is conducted to reveal the impacts of main economic and technological parameters on the supply chain performance indicators.
•A methodology is developed to design multiple technology bioenergy supply chains.•The aim is to configure the supply chain and select the optimum technology.•The methodology captures sustainability aspects and uncertain parameters.•The methodology integrates mathematical modelling and fuzzy decision making.•The methodology is applied to a case study of West Midlands Region in the UK. |
doi_str_mv | 10.1016/j.energy.2017.11.058 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2044640647</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0360544217319072</els_id><sourcerecordid>2044640647</sourcerecordid><originalsourceid>FETCH-LOGICAL-c438t-55dd7fa309b78d0745bbb5f40fc736791f6b34f05b27690756a8602af1a36a233</originalsourceid><addsrcrecordid>eNp9Uctu1DAUtRBIDKV_wMIS6wQ78SNhgVRVvKQKNnRtOfZ16mFiD7ZDNXxIv7ce0nVXd3HP455zEXpHSUsJFR_2LQRI86ntCJUtpS3hwwu0o4PsGyEH_hLtSC9IwxnrXqM3Oe8JqZBx3KGHH1DuY_qNLWQ_B6yDxQXMXYiHOJ_wooOeYYFQsIsJ3-tcAJeINz98TNGupvgYPuKrgH0oMCddwOJ4LH7x__R5h13SC_x3WYOFhMsdVKoPxh8PkHF02Phk1oNOGEwMcTm9Ra-cPmS4fJoX6PbL51_X35qbn1-_X1_dNIb1Q2k4t1Y63ZNxkoMlkvFpmrhjxBnZCzlSJ6aeOcKnToqRSC70IEinHdW90F3fX6D3m25N8meFXNQ-rilUS9URxgQjgsmKYhvKpJhzAqfq9YtOJ0WJOn9A7dXWiDp_QFGqar2V9mmjQU3w10NS2XgIBqxPYIqy0T8v8Agb65TQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2044640647</pqid></control><display><type>article</type><title>Network design and technology management for waste to energy production: An integrated optimization framework under the principles of circular economy</title><source>ScienceDirect Journals (5 years ago - present)</source><creator>Yılmaz Balaman, Şebnem ; Wright, Daniel G. ; Scott, James ; Matopoulos, Aristides</creator><creatorcontrib>Yılmaz Balaman, Şebnem ; Wright, Daniel G. ; Scott, James ; Matopoulos, Aristides</creatorcontrib><description>The design of waste to bioenergy supply chains (W-BESC) is critically important for meeting the circular economy (CE) goals, whilst also ensuring environmental sustainability in the planning and operation of energy systems. This study develops a novel optimization methodology to aid sustainable design and planning of W-BESC that comprise multiple technologies as well as multiple product and feedstock types. The methodology identifies the optimum supply chain configuration and plans the logistics operations in a given region to meet the energy demand of specified nodes. A scenario based fuzzy multi objective modelling approach is proposed and utilized to capture the economic and environmental sustainability aspects in the same framework. We test the proposed model using the entire West Midlands (WM) region from the United Kingdom (UK) as a case study. In this scope, a comprehensive regional supply chain is designed to meet the energy and biofertilizer demand of specific nodes considering available waste and crop type biomass in the region. Further analysis is conducted to reveal the impacts of main economic and technological parameters on the supply chain performance indicators.
•A methodology is developed to design multiple technology bioenergy supply chains.•The aim is to configure the supply chain and select the optimum technology.•The methodology captures sustainability aspects and uncertain parameters.•The methodology integrates mathematical modelling and fuzzy decision making.•The methodology is applied to a case study of West Midlands Region in the UK.</description><identifier>ISSN: 0360-5442</identifier><identifier>EISSN: 1873-6785</identifier><identifier>DOI: 10.1016/j.energy.2017.11.058</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Agricultural economics ; Agricultural wastes ; Biofertilizers ; Biomass ; Case studies ; Circular economy ; Conversion ; Design ; Design optimization ; Economic analysis ; Economic models ; Energy demand ; Energy management ; Fuzzy multi objective decision making ; Logistics ; Mathematical modelling ; Mathematical models ; Model testing ; Network design ; Optimization techniques ; Renewable energy ; Studies ; Supply chains ; Sustainability ; Sustainable design ; Technology management ; Waste management ; Waste to energy ; Waste to energy supply chains</subject><ispartof>Energy (Oxford), 2018-01, Vol.143, p.911-933</ispartof><rights>2017 Elsevier Ltd</rights><rights>Copyright Elsevier BV Jan 15, 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-55dd7fa309b78d0745bbb5f40fc736791f6b34f05b27690756a8602af1a36a233</citedby><cites>FETCH-LOGICAL-c438t-55dd7fa309b78d0745bbb5f40fc736791f6b34f05b27690756a8602af1a36a233</cites><orcidid>0000-0002-1766-3906</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.energy.2017.11.058$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids></links><search><creatorcontrib>Yılmaz Balaman, Şebnem</creatorcontrib><creatorcontrib>Wright, Daniel G.</creatorcontrib><creatorcontrib>Scott, James</creatorcontrib><creatorcontrib>Matopoulos, Aristides</creatorcontrib><title>Network design and technology management for waste to energy production: An integrated optimization framework under the principles of circular economy</title><title>Energy (Oxford)</title><description>The design of waste to bioenergy supply chains (W-BESC) is critically important for meeting the circular economy (CE) goals, whilst also ensuring environmental sustainability in the planning and operation of energy systems. This study develops a novel optimization methodology to aid sustainable design and planning of W-BESC that comprise multiple technologies as well as multiple product and feedstock types. The methodology identifies the optimum supply chain configuration and plans the logistics operations in a given region to meet the energy demand of specified nodes. A scenario based fuzzy multi objective modelling approach is proposed and utilized to capture the economic and environmental sustainability aspects in the same framework. We test the proposed model using the entire West Midlands (WM) region from the United Kingdom (UK) as a case study. In this scope, a comprehensive regional supply chain is designed to meet the energy and biofertilizer demand of specific nodes considering available waste and crop type biomass in the region. Further analysis is conducted to reveal the impacts of main economic and technological parameters on the supply chain performance indicators.
•A methodology is developed to design multiple technology bioenergy supply chains.•The aim is to configure the supply chain and select the optimum technology.•The methodology captures sustainability aspects and uncertain parameters.•The methodology integrates mathematical modelling and fuzzy decision making.•The methodology is applied to a case study of West Midlands Region in the UK.</description><subject>Agricultural economics</subject><subject>Agricultural wastes</subject><subject>Biofertilizers</subject><subject>Biomass</subject><subject>Case studies</subject><subject>Circular economy</subject><subject>Conversion</subject><subject>Design</subject><subject>Design optimization</subject><subject>Economic analysis</subject><subject>Economic models</subject><subject>Energy demand</subject><subject>Energy management</subject><subject>Fuzzy multi objective decision making</subject><subject>Logistics</subject><subject>Mathematical modelling</subject><subject>Mathematical models</subject><subject>Model testing</subject><subject>Network design</subject><subject>Optimization techniques</subject><subject>Renewable energy</subject><subject>Studies</subject><subject>Supply chains</subject><subject>Sustainability</subject><subject>Sustainable design</subject><subject>Technology management</subject><subject>Waste management</subject><subject>Waste to energy</subject><subject>Waste to energy supply chains</subject><issn>0360-5442</issn><issn>1873-6785</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9Uctu1DAUtRBIDKV_wMIS6wQ78SNhgVRVvKQKNnRtOfZ16mFiD7ZDNXxIv7ce0nVXd3HP455zEXpHSUsJFR_2LQRI86ntCJUtpS3hwwu0o4PsGyEH_hLtSC9IwxnrXqM3Oe8JqZBx3KGHH1DuY_qNLWQ_B6yDxQXMXYiHOJ_wooOeYYFQsIsJ3-tcAJeINz98TNGupvgYPuKrgH0oMCddwOJ4LH7x__R5h13SC_x3WYOFhMsdVKoPxh8PkHF02Phk1oNOGEwMcTm9Ra-cPmS4fJoX6PbL51_X35qbn1-_X1_dNIb1Q2k4t1Y63ZNxkoMlkvFpmrhjxBnZCzlSJ6aeOcKnToqRSC70IEinHdW90F3fX6D3m25N8meFXNQ-rilUS9URxgQjgsmKYhvKpJhzAqfq9YtOJ0WJOn9A7dXWiDp_QFGqar2V9mmjQU3w10NS2XgIBqxPYIqy0T8v8Agb65TQ</recordid><startdate>20180115</startdate><enddate>20180115</enddate><creator>Yılmaz Balaman, Şebnem</creator><creator>Wright, Daniel G.</creator><creator>Scott, James</creator><creator>Matopoulos, Aristides</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7ST</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-1766-3906</orcidid></search><sort><creationdate>20180115</creationdate><title>Network design and technology management for waste to energy production: An integrated optimization framework under the principles of circular economy</title><author>Yılmaz Balaman, Şebnem ; Wright, Daniel G. ; Scott, James ; Matopoulos, Aristides</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c438t-55dd7fa309b78d0745bbb5f40fc736791f6b34f05b27690756a8602af1a36a233</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Agricultural economics</topic><topic>Agricultural wastes</topic><topic>Biofertilizers</topic><topic>Biomass</topic><topic>Case studies</topic><topic>Circular economy</topic><topic>Conversion</topic><topic>Design</topic><topic>Design optimization</topic><topic>Economic analysis</topic><topic>Economic models</topic><topic>Energy demand</topic><topic>Energy management</topic><topic>Fuzzy multi objective decision making</topic><topic>Logistics</topic><topic>Mathematical modelling</topic><topic>Mathematical models</topic><topic>Model testing</topic><topic>Network design</topic><topic>Optimization techniques</topic><topic>Renewable energy</topic><topic>Studies</topic><topic>Supply chains</topic><topic>Sustainability</topic><topic>Sustainable design</topic><topic>Technology management</topic><topic>Waste management</topic><topic>Waste to energy</topic><topic>Waste to energy supply chains</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yılmaz Balaman, Şebnem</creatorcontrib><creatorcontrib>Wright, Daniel G.</creatorcontrib><creatorcontrib>Scott, James</creatorcontrib><creatorcontrib>Matopoulos, Aristides</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Environment Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>Energy (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yılmaz Balaman, Şebnem</au><au>Wright, Daniel G.</au><au>Scott, James</au><au>Matopoulos, Aristides</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Network design and technology management for waste to energy production: An integrated optimization framework under the principles of circular economy</atitle><jtitle>Energy (Oxford)</jtitle><date>2018-01-15</date><risdate>2018</risdate><volume>143</volume><spage>911</spage><epage>933</epage><pages>911-933</pages><issn>0360-5442</issn><eissn>1873-6785</eissn><abstract>The design of waste to bioenergy supply chains (W-BESC) is critically important for meeting the circular economy (CE) goals, whilst also ensuring environmental sustainability in the planning and operation of energy systems. This study develops a novel optimization methodology to aid sustainable design and planning of W-BESC that comprise multiple technologies as well as multiple product and feedstock types. The methodology identifies the optimum supply chain configuration and plans the logistics operations in a given region to meet the energy demand of specified nodes. A scenario based fuzzy multi objective modelling approach is proposed and utilized to capture the economic and environmental sustainability aspects in the same framework. We test the proposed model using the entire West Midlands (WM) region from the United Kingdom (UK) as a case study. In this scope, a comprehensive regional supply chain is designed to meet the energy and biofertilizer demand of specific nodes considering available waste and crop type biomass in the region. Further analysis is conducted to reveal the impacts of main economic and technological parameters on the supply chain performance indicators.
•A methodology is developed to design multiple technology bioenergy supply chains.•The aim is to configure the supply chain and select the optimum technology.•The methodology captures sustainability aspects and uncertain parameters.•The methodology integrates mathematical modelling and fuzzy decision making.•The methodology is applied to a case study of West Midlands Region in the UK.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.energy.2017.11.058</doi><tpages>23</tpages><orcidid>https://orcid.org/0000-0002-1766-3906</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0360-5442 |
ispartof | Energy (Oxford), 2018-01, Vol.143, p.911-933 |
issn | 0360-5442 1873-6785 |
language | eng |
recordid | cdi_proquest_journals_2044640647 |
source | ScienceDirect Journals (5 years ago - present) |
subjects | Agricultural economics Agricultural wastes Biofertilizers Biomass Case studies Circular economy Conversion Design Design optimization Economic analysis Economic models Energy demand Energy management Fuzzy multi objective decision making Logistics Mathematical modelling Mathematical models Model testing Network design Optimization techniques Renewable energy Studies Supply chains Sustainability Sustainable design Technology management Waste management Waste to energy Waste to energy supply chains |
title | Network design and technology management for waste to energy production: An integrated optimization framework under the principles of circular economy |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T22%3A03%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Network%20design%20and%20technology%20management%20for%20waste%20to%20energy%20production:%20An%20integrated%20optimization%20framework%20under%20the%20principles%20of%20circular%20economy&rft.jtitle=Energy%20(Oxford)&rft.au=Y%C4%B1lmaz%20Balaman,%20%C5%9Eebnem&rft.date=2018-01-15&rft.volume=143&rft.spage=911&rft.epage=933&rft.pages=911-933&rft.issn=0360-5442&rft.eissn=1873-6785&rft_id=info:doi/10.1016/j.energy.2017.11.058&rft_dat=%3Cproquest_cross%3E2044640647%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2044640647&rft_id=info:pmid/&rft_els_id=S0360544217319072&rfr_iscdi=true |