Cost-effective Planning of Decarbonized Power-Gas Infrastructure to Meet the Challenges of Heating Electrification
Building heat electrification is central to economy-wide decarbonization efforts and directly affects energy infrastructure planning through increasing electricity demand and reducing the building sector's use of gas infrastructure that also serves the power sector. Here, we develop a modeling...
Gespeichert in:
Hauptverfasser: | , , , , , |
---|---|
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | Khorramfar, Rahman Santoni-Colvin, Morgan Amin, Saurabh Norford, Leslie K Botterud, Audun Mallapragada, Dharik |
description | Building heat electrification is central to economy-wide decarbonization
efforts and directly affects energy infrastructure planning through increasing
electricity demand and reducing the building sector's use of gas infrastructure
that also serves the power sector. Here, we develop a modeling framework to
quantify end-use demand for electricity and gas in the buildings sector under
various electrification pathways and evaluate their impact on co-optimized bulk
power-gas infrastructure investments and operations under deep decarbonization
scenarios. Applying the framework to study the U.S. New England region in 2050
across 20 weather scenarios, we find high electrification of the residential
sector can increase sectoral peak and total electricity demands by up to
56-158% and 41-59% respectively relative to business-as-usual projections.
Employing demand-side measures like building envelope improvements under high
electrification, however, can reduce the magnitude and weather sensitivity of
peak load as well as induce overall efficiency gains, reducing the combined
residential sector energy demand for power and gas by 28-30% relative to the
present day. Notably, a combination of high electrification and envelope
improvements yields the lowest bulk power-gas system cost outcomes. Accounting
for \bt{midstream} methane emissions from gas supply chain increase the
reliance on low-carbon fuels, which indirectly improves the cost-effectiveness
of end-use electrification. Similarly, we find that demand flexibility programs
can reduce the total system cost by up to 6.3%. |
doi_str_mv | 10.48550/arxiv.2308.16814 |
format | Article |
fullrecord | <record><control><sourceid>arxiv_GOX</sourceid><recordid>TN_cdi_arxiv_primary_2308_16814</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2308_16814</sourcerecordid><originalsourceid>FETCH-LOGICAL-a674-bf3e4d62f8a977786ac06b845287acf314a607d6ac2662613fd40ed8e8cbea2c3</originalsourceid><addsrcrecordid>eNotj8tOwzAURL1hgQofwAr_QIJjO7ZZolDaSkV00X1041y3loKNHLc8vp6ksBrNSHOkQ8hdxUpp6po9QPry55ILZspKmUpek9TEMRfoHNrsz0h3A4Tgw4FGR5_RQupi8D_Y0138xFSsYKSb4BKMOZ1sPiWkOdJXxEzzEWlzhGHAcMBx_q8R8oxaDhM8eeft1GO4IVcOhhFv_3NB9i_LfbMutm-rTfO0LUBpWXROoOwVdwYetdZGgWWqM7LmRoN1opKgmO6nmSvFVSVcLxn2Bo3tELgVC3L_h71Itx_Jv0P6bmf59iIvfgHdq1a4</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Cost-effective Planning of Decarbonized Power-Gas Infrastructure to Meet the Challenges of Heating Electrification</title><source>arXiv.org</source><creator>Khorramfar, Rahman ; Santoni-Colvin, Morgan ; Amin, Saurabh ; Norford, Leslie K ; Botterud, Audun ; Mallapragada, Dharik</creator><creatorcontrib>Khorramfar, Rahman ; Santoni-Colvin, Morgan ; Amin, Saurabh ; Norford, Leslie K ; Botterud, Audun ; Mallapragada, Dharik</creatorcontrib><description>Building heat electrification is central to economy-wide decarbonization
efforts and directly affects energy infrastructure planning through increasing
electricity demand and reducing the building sector's use of gas infrastructure
that also serves the power sector. Here, we develop a modeling framework to
quantify end-use demand for electricity and gas in the buildings sector under
various electrification pathways and evaluate their impact on co-optimized bulk
power-gas infrastructure investments and operations under deep decarbonization
scenarios. Applying the framework to study the U.S. New England region in 2050
across 20 weather scenarios, we find high electrification of the residential
sector can increase sectoral peak and total electricity demands by up to
56-158% and 41-59% respectively relative to business-as-usual projections.
Employing demand-side measures like building envelope improvements under high
electrification, however, can reduce the magnitude and weather sensitivity of
peak load as well as induce overall efficiency gains, reducing the combined
residential sector energy demand for power and gas by 28-30% relative to the
present day. Notably, a combination of high electrification and envelope
improvements yields the lowest bulk power-gas system cost outcomes. Accounting
for \bt{midstream} methane emissions from gas supply chain increase the
reliance on low-carbon fuels, which indirectly improves the cost-effectiveness
of end-use electrification. Similarly, we find that demand flexibility programs
can reduce the total system cost by up to 6.3%.</description><identifier>DOI: 10.48550/arxiv.2308.16814</identifier><language>eng</language><subject>Computer Science - Systems and Control</subject><creationdate>2023-08</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2308.16814$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2308.16814$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Khorramfar, Rahman</creatorcontrib><creatorcontrib>Santoni-Colvin, Morgan</creatorcontrib><creatorcontrib>Amin, Saurabh</creatorcontrib><creatorcontrib>Norford, Leslie K</creatorcontrib><creatorcontrib>Botterud, Audun</creatorcontrib><creatorcontrib>Mallapragada, Dharik</creatorcontrib><title>Cost-effective Planning of Decarbonized Power-Gas Infrastructure to Meet the Challenges of Heating Electrification</title><description>Building heat electrification is central to economy-wide decarbonization
efforts and directly affects energy infrastructure planning through increasing
electricity demand and reducing the building sector's use of gas infrastructure
that also serves the power sector. Here, we develop a modeling framework to
quantify end-use demand for electricity and gas in the buildings sector under
various electrification pathways and evaluate their impact on co-optimized bulk
power-gas infrastructure investments and operations under deep decarbonization
scenarios. Applying the framework to study the U.S. New England region in 2050
across 20 weather scenarios, we find high electrification of the residential
sector can increase sectoral peak and total electricity demands by up to
56-158% and 41-59% respectively relative to business-as-usual projections.
Employing demand-side measures like building envelope improvements under high
electrification, however, can reduce the magnitude and weather sensitivity of
peak load as well as induce overall efficiency gains, reducing the combined
residential sector energy demand for power and gas by 28-30% relative to the
present day. Notably, a combination of high electrification and envelope
improvements yields the lowest bulk power-gas system cost outcomes. Accounting
for \bt{midstream} methane emissions from gas supply chain increase the
reliance on low-carbon fuels, which indirectly improves the cost-effectiveness
of end-use electrification. Similarly, we find that demand flexibility programs
can reduce the total system cost by up to 6.3%.</description><subject>Computer Science - Systems and Control</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj8tOwzAURL1hgQofwAr_QIJjO7ZZolDaSkV00X1041y3loKNHLc8vp6ksBrNSHOkQ8hdxUpp6po9QPry55ILZspKmUpek9TEMRfoHNrsz0h3A4Tgw4FGR5_RQupi8D_Y0138xFSsYKSb4BKMOZ1sPiWkOdJXxEzzEWlzhGHAcMBx_q8R8oxaDhM8eeft1GO4IVcOhhFv_3NB9i_LfbMutm-rTfO0LUBpWXROoOwVdwYetdZGgWWqM7LmRoN1opKgmO6nmSvFVSVcLxn2Bo3tELgVC3L_h71Itx_Jv0P6bmf59iIvfgHdq1a4</recordid><startdate>20230831</startdate><enddate>20230831</enddate><creator>Khorramfar, Rahman</creator><creator>Santoni-Colvin, Morgan</creator><creator>Amin, Saurabh</creator><creator>Norford, Leslie K</creator><creator>Botterud, Audun</creator><creator>Mallapragada, Dharik</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20230831</creationdate><title>Cost-effective Planning of Decarbonized Power-Gas Infrastructure to Meet the Challenges of Heating Electrification</title><author>Khorramfar, Rahman ; Santoni-Colvin, Morgan ; Amin, Saurabh ; Norford, Leslie K ; Botterud, Audun ; Mallapragada, Dharik</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a674-bf3e4d62f8a977786ac06b845287acf314a607d6ac2662613fd40ed8e8cbea2c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Computer Science - Systems and Control</topic><toplevel>online_resources</toplevel><creatorcontrib>Khorramfar, Rahman</creatorcontrib><creatorcontrib>Santoni-Colvin, Morgan</creatorcontrib><creatorcontrib>Amin, Saurabh</creatorcontrib><creatorcontrib>Norford, Leslie K</creatorcontrib><creatorcontrib>Botterud, Audun</creatorcontrib><creatorcontrib>Mallapragada, Dharik</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Khorramfar, Rahman</au><au>Santoni-Colvin, Morgan</au><au>Amin, Saurabh</au><au>Norford, Leslie K</au><au>Botterud, Audun</au><au>Mallapragada, Dharik</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cost-effective Planning of Decarbonized Power-Gas Infrastructure to Meet the Challenges of Heating Electrification</atitle><date>2023-08-31</date><risdate>2023</risdate><abstract>Building heat electrification is central to economy-wide decarbonization
efforts and directly affects energy infrastructure planning through increasing
electricity demand and reducing the building sector's use of gas infrastructure
that also serves the power sector. Here, we develop a modeling framework to
quantify end-use demand for electricity and gas in the buildings sector under
various electrification pathways and evaluate their impact on co-optimized bulk
power-gas infrastructure investments and operations under deep decarbonization
scenarios. Applying the framework to study the U.S. New England region in 2050
across 20 weather scenarios, we find high electrification of the residential
sector can increase sectoral peak and total electricity demands by up to
56-158% and 41-59% respectively relative to business-as-usual projections.
Employing demand-side measures like building envelope improvements under high
electrification, however, can reduce the magnitude and weather sensitivity of
peak load as well as induce overall efficiency gains, reducing the combined
residential sector energy demand for power and gas by 28-30% relative to the
present day. Notably, a combination of high electrification and envelope
improvements yields the lowest bulk power-gas system cost outcomes. Accounting
for \bt{midstream} methane emissions from gas supply chain increase the
reliance on low-carbon fuels, which indirectly improves the cost-effectiveness
of end-use electrification. Similarly, we find that demand flexibility programs
can reduce the total system cost by up to 6.3%.</abstract><doi>10.48550/arxiv.2308.16814</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | DOI: 10.48550/arxiv.2308.16814 |
ispartof | |
issn | |
language | eng |
recordid | cdi_arxiv_primary_2308_16814 |
source | arXiv.org |
subjects | Computer Science - Systems and Control |
title | Cost-effective Planning of Decarbonized Power-Gas Infrastructure to Meet the Challenges of Heating Electrification |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-23T18%3A18%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-arxiv_GOX&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Cost-effective%20Planning%20of%20Decarbonized%20Power-Gas%20Infrastructure%20to%20Meet%20the%20Challenges%20of%20Heating%20Electrification&rft.au=Khorramfar,%20Rahman&rft.date=2023-08-31&rft_id=info:doi/10.48550/arxiv.2308.16814&rft_dat=%3Carxiv_GOX%3E2308_16814%3C/arxiv_GOX%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |