Loading…

A model for cost- and greenhouse gas optimal material and energy allocation of biomass and hydrogen

BENOPT, an optimal material and energy allocation model is presented, which is used to assess cost-optimal and/or greenhouse gas abatement optimal allocation of renewable energy carriers across power, heat and transport sectors. A high level of detail on the processes from source to end service enab...

Full description

Saved in:
Bibliographic Details
Published in:SoftwareX 2022-12, Vol.20, p.101264, Article 101264
Main Authors: Millinger, Markus, Tafarte, Philip, Jordan, Matthias, Musonda, Frazer, Chan, Katrina, Meisel, Kathleen, Aliabadi, Danial Esmaeili
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-c490t-c3f43f6e3d8a8cfae844415099eda7010312154bc18e94d28c21b27a782ca8383
cites cdi_FETCH-LOGICAL-c490t-c3f43f6e3d8a8cfae844415099eda7010312154bc18e94d28c21b27a782ca8383
container_end_page
container_issue
container_start_page 101264
container_title SoftwareX
container_volume 20
creator Millinger, Markus
Tafarte, Philip
Jordan, Matthias
Musonda, Frazer
Chan, Katrina
Meisel, Kathleen
Aliabadi, Danial Esmaeili
description BENOPT, an optimal material and energy allocation model is presented, which is used to assess cost-optimal and/or greenhouse gas abatement optimal allocation of renewable energy carriers across power, heat and transport sectors. A high level of detail on the processes from source to end service enables detailed life-cycle greenhouse gas and cost assessments. Pareto analyses can be performed, as well as thorough sensitivity analyses. The model is designed to analyse optimal biomass and hydrogen usage, as a complement to integrated assessment and power system models. [Display omitted]
doi_str_mv 10.1016/j.softx.2022.101264
format article
fullrecord <record><control><sourceid>elsevier_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_d3a75dc3b8a24911ba0dea785b98ee16</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S2352711022001820</els_id><doaj_id>oai_doaj_org_article_d3a75dc3b8a24911ba0dea785b98ee16</doaj_id><sourcerecordid>S2352711022001820</sourcerecordid><originalsourceid>FETCH-LOGICAL-c490t-c3f43f6e3d8a8cfae844415099eda7010312154bc18e94d28c21b27a782ca8383</originalsourceid><addsrcrecordid>eNp9kU1v1DAQhiMEElXbX8DFfyCLxx8b58ChqvioVIlD4WyN7XHWqyRe2Smw_57sboXgwmlejeZ9NDNv07wDvgEO2_f7Tc1x-bURXIhTR2zVq-ZKSC3aDoC__ku_bW5r3XPOQQujhbpq_B2bcqCRxVyYz3VpGc6BDYVo3uXnSmzAyvJhSROObMKFSlrFaYZmKsOR4Thmj0vKM8uRuZQnrPU8sDuGkgeab5o3EcdKty_1uvn-6eO3-y_t49fPD_d3j61XPV9aL6OScUsyGDQ-IhmlFGje9xSw48AlCNDKeTDUqyCMF-BEh50RHo008rp5uHBDxr09lHXlcrQZkz03chksliX5kWyQ2OngpTMoVA_gkAdaSdr1hgi2K-vpwqo_6fDs_qEVqoTF76zf4ThRqbaSJR1CAM6ti52ySnptnXDSagFSSBkdYL9S5YXqS661UPzDBW5PYdq9PYdpT2HaS5ir68PFRevzfiQqtvpEs6eQCvllvS791_8bGkOpWA</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>A model for cost- and greenhouse gas optimal material and energy allocation of biomass and hydrogen</title><source>ScienceDirect Journals</source><creator>Millinger, Markus ; Tafarte, Philip ; Jordan, Matthias ; Musonda, Frazer ; Chan, Katrina ; Meisel, Kathleen ; Aliabadi, Danial Esmaeili</creator><creatorcontrib>Millinger, Markus ; Tafarte, Philip ; Jordan, Matthias ; Musonda, Frazer ; Chan, Katrina ; Meisel, Kathleen ; Aliabadi, Danial Esmaeili</creatorcontrib><description>BENOPT, an optimal material and energy allocation model is presented, which is used to assess cost-optimal and/or greenhouse gas abatement optimal allocation of renewable energy carriers across power, heat and transport sectors. A high level of detail on the processes from source to end service enables detailed life-cycle greenhouse gas and cost assessments. Pareto analyses can be performed, as well as thorough sensitivity analyses. The model is designed to analyse optimal biomass and hydrogen usage, as a complement to integrated assessment and power system models. [Display omitted]</description><identifier>ISSN: 2352-7110</identifier><identifier>EISSN: 2352-7110</identifier><identifier>DOI: 10.1016/j.softx.2022.101264</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Biomass ; Energy system ; Industrial ecology ; LCA ; Power-to-x ; Sector coupling ; Systems perspective</subject><ispartof>SoftwareX, 2022-12, Vol.20, p.101264, Article 101264</ispartof><rights>2022 The Author(s)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c490t-c3f43f6e3d8a8cfae844415099eda7010312154bc18e94d28c21b27a782ca8383</citedby><cites>FETCH-LOGICAL-c490t-c3f43f6e3d8a8cfae844415099eda7010312154bc18e94d28c21b27a782ca8383</cites><orcidid>0000-0002-8428-4957 ; 0000-0002-6951-7281</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S2352711022001820$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,3549,27924,27925,45780</link.rule.ids><backlink>$$Uhttps://research.chalmers.se/publication/534121$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Millinger, Markus</creatorcontrib><creatorcontrib>Tafarte, Philip</creatorcontrib><creatorcontrib>Jordan, Matthias</creatorcontrib><creatorcontrib>Musonda, Frazer</creatorcontrib><creatorcontrib>Chan, Katrina</creatorcontrib><creatorcontrib>Meisel, Kathleen</creatorcontrib><creatorcontrib>Aliabadi, Danial Esmaeili</creatorcontrib><title>A model for cost- and greenhouse gas optimal material and energy allocation of biomass and hydrogen</title><title>SoftwareX</title><description>BENOPT, an optimal material and energy allocation model is presented, which is used to assess cost-optimal and/or greenhouse gas abatement optimal allocation of renewable energy carriers across power, heat and transport sectors. A high level of detail on the processes from source to end service enables detailed life-cycle greenhouse gas and cost assessments. Pareto analyses can be performed, as well as thorough sensitivity analyses. The model is designed to analyse optimal biomass and hydrogen usage, as a complement to integrated assessment and power system models. [Display omitted]</description><subject>Biomass</subject><subject>Energy system</subject><subject>Industrial ecology</subject><subject>LCA</subject><subject>Power-to-x</subject><subject>Sector coupling</subject><subject>Systems perspective</subject><issn>2352-7110</issn><issn>2352-7110</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9kU1v1DAQhiMEElXbX8DFfyCLxx8b58ChqvioVIlD4WyN7XHWqyRe2Smw_57sboXgwmlejeZ9NDNv07wDvgEO2_f7Tc1x-bURXIhTR2zVq-ZKSC3aDoC__ku_bW5r3XPOQQujhbpq_B2bcqCRxVyYz3VpGc6BDYVo3uXnSmzAyvJhSROObMKFSlrFaYZmKsOR4Thmj0vKM8uRuZQnrPU8sDuGkgeab5o3EcdKty_1uvn-6eO3-y_t49fPD_d3j61XPV9aL6OScUsyGDQ-IhmlFGje9xSw48AlCNDKeTDUqyCMF-BEh50RHo008rp5uHBDxr09lHXlcrQZkz03chksliX5kWyQ2OngpTMoVA_gkAdaSdr1hgi2K-vpwqo_6fDs_qEVqoTF76zf4ThRqbaSJR1CAM6ti52ySnptnXDSagFSSBkdYL9S5YXqS661UPzDBW5PYdq9PYdpT2HaS5ir68PFRevzfiQqtvpEs6eQCvllvS791_8bGkOpWA</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>Millinger, Markus</creator><creator>Tafarte, Philip</creator><creator>Jordan, Matthias</creator><creator>Musonda, Frazer</creator><creator>Chan, Katrina</creator><creator>Meisel, Kathleen</creator><creator>Aliabadi, Danial Esmaeili</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ABBSD</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>F1S</scope><scope>ZZAVC</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-8428-4957</orcidid><orcidid>https://orcid.org/0000-0002-6951-7281</orcidid></search><sort><creationdate>20221201</creationdate><title>A model for cost- and greenhouse gas optimal material and energy allocation of biomass and hydrogen</title><author>Millinger, Markus ; Tafarte, Philip ; Jordan, Matthias ; Musonda, Frazer ; Chan, Katrina ; Meisel, Kathleen ; Aliabadi, Danial Esmaeili</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c490t-c3f43f6e3d8a8cfae844415099eda7010312154bc18e94d28c21b27a782ca8383</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Biomass</topic><topic>Energy system</topic><topic>Industrial ecology</topic><topic>LCA</topic><topic>Power-to-x</topic><topic>Sector coupling</topic><topic>Systems perspective</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Millinger, Markus</creatorcontrib><creatorcontrib>Tafarte, Philip</creatorcontrib><creatorcontrib>Jordan, Matthias</creatorcontrib><creatorcontrib>Musonda, Frazer</creatorcontrib><creatorcontrib>Chan, Katrina</creatorcontrib><creatorcontrib>Meisel, Kathleen</creatorcontrib><creatorcontrib>Aliabadi, Danial Esmaeili</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>SWEPUB Chalmers tekniska högskola full text</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SWEPUB Chalmers tekniska högskola</collection><collection>SwePub Articles full text</collection><collection>Directory of Open Access Journals</collection><jtitle>SoftwareX</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Millinger, Markus</au><au>Tafarte, Philip</au><au>Jordan, Matthias</au><au>Musonda, Frazer</au><au>Chan, Katrina</au><au>Meisel, Kathleen</au><au>Aliabadi, Danial Esmaeili</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A model for cost- and greenhouse gas optimal material and energy allocation of biomass and hydrogen</atitle><jtitle>SoftwareX</jtitle><date>2022-12-01</date><risdate>2022</risdate><volume>20</volume><spage>101264</spage><pages>101264-</pages><artnum>101264</artnum><issn>2352-7110</issn><eissn>2352-7110</eissn><abstract>BENOPT, an optimal material and energy allocation model is presented, which is used to assess cost-optimal and/or greenhouse gas abatement optimal allocation of renewable energy carriers across power, heat and transport sectors. A high level of detail on the processes from source to end service enables detailed life-cycle greenhouse gas and cost assessments. Pareto analyses can be performed, as well as thorough sensitivity analyses. The model is designed to analyse optimal biomass and hydrogen usage, as a complement to integrated assessment and power system models. [Display omitted]</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.softx.2022.101264</doi><orcidid>https://orcid.org/0000-0002-8428-4957</orcidid><orcidid>https://orcid.org/0000-0002-6951-7281</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2352-7110
ispartof SoftwareX, 2022-12, Vol.20, p.101264, Article 101264
issn 2352-7110
2352-7110
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_d3a75dc3b8a24911ba0dea785b98ee16
source ScienceDirect Journals
subjects Biomass
Energy system
Industrial ecology
LCA
Power-to-x
Sector coupling
Systems perspective
title A model for cost- and greenhouse gas optimal material and energy allocation of biomass and hydrogen
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T06%3A45%3A29IST&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=A%20model%20for%20cost-%20and%20greenhouse%20gas%20optimal%20material%20and%20energy%20allocation%20of%20biomass%20and%20hydrogen&rft.jtitle=SoftwareX&rft.au=Millinger,%20Markus&rft.date=2022-12-01&rft.volume=20&rft.spage=101264&rft.pages=101264-&rft.artnum=101264&rft.issn=2352-7110&rft.eissn=2352-7110&rft_id=info:doi/10.1016/j.softx.2022.101264&rft_dat=%3Celsevier_doaj_%3ES2352711022001820%3C/elsevier_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c490t-c3f43f6e3d8a8cfae844415099eda7010312154bc18e94d28c21b27a782ca8383%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