Methods and tools to estimate carbon emission savings from integration of renewable and T&D efficiency improvement
The electricity industry is moving towards the implementation of technologies options to reduce its carbon footprint. With that, the need for a consistent methodology for assessing and verify the emission reduction attributable to technology project arises. This paper first present an overview of di...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 8 |
---|---|
container_issue | |
container_start_page | 1 |
container_title | |
container_volume | |
creator | Del Rosso, A. Clark, C. |
description | The electricity industry is moving towards the implementation of technologies options to reduce its carbon footprint. With that, the need for a consistent methodology for assessing and verify the emission reduction attributable to technology project arises. This paper first present an overview of different methodologies that are currently used for estimating CO 2 emission savings from the integration of renewable generation. The strength and weaknesses of these approaches, and their suitability to asses CO 2 avoided emissions from measures to improve transmission and distributing system efficiencies are addressed. A new evaluation methodology based on the EPRI calculation tool, the NESSIE model, is then presented. A simple case study is presented to illustrate its application. Finally, a summary of main conclusions and recommendation for further investigation are presented. |
doi_str_mv | 10.1109/PES.2011.6039611 |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6039611</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6039611</ieee_id><sourcerecordid>6039611</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-bfd9ea3a040b8171e6046696e862d2a685446bd3b2db3daf59b3a75719570cb63</originalsourceid><addsrcrecordid>eNo1UEtLAzEYjKhgW3sXvOTkbWu-zSbZHKXWB1QUrOeSbL7USHe3JKGl_96q9TIPBgZmCLkCNgFg-vZt9j4pGcBEMq4lwAkZQiWUAsZKOCVjrep_z-CMDEDzshAC1AUZpvTFmOBQlQMSXzB_9i5R0zma-36dDkgx5dCajLQx0fYdxTakFA4imW3oVon62Lc0dBlX0eSfoPc0Yoc7Y9f427W4uafofWgCds2ehnYT-y222OVLcu7NOuH4yCPy8TBbTJ-K-evj8_RuXgRQIhfWO42GG1YxW4MClKySUkusZelKI2tRVdI6bktnuTNeaMuNEgq0UKyxko_I9V9vQMTlJh4Wxf3y-Bf_BintXew</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Methods and tools to estimate carbon emission savings from integration of renewable and T&D efficiency improvement</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Del Rosso, A. ; Clark, C.</creator><creatorcontrib>Del Rosso, A. ; Clark, C.</creatorcontrib><description>The electricity industry is moving towards the implementation of technologies options to reduce its carbon footprint. With that, the need for a consistent methodology for assessing and verify the emission reduction attributable to technology project arises. This paper first present an overview of different methodologies that are currently used for estimating CO 2 emission savings from the integration of renewable generation. The strength and weaknesses of these approaches, and their suitability to asses CO 2 avoided emissions from measures to improve transmission and distributing system efficiencies are addressed. A new evaluation methodology based on the EPRI calculation tool, the NESSIE model, is then presented. A simple case study is presented to illustrate its application. Finally, a summary of main conclusions and recommendation for further investigation are presented.</description><identifier>ISSN: 1932-5517</identifier><identifier>ISBN: 9781457710001</identifier><identifier>ISBN: 1457710005</identifier><identifier>EISBN: 1457710021</identifier><identifier>EISBN: 9781457710018</identifier><identifier>EISBN: 1457710013</identifier><identifier>EISBN: 9781457710025</identifier><identifier>DOI: 10.1109/PES.2011.6039611</identifier><language>eng</language><publisher>IEEE</publisher><subject>assessment methodology ; Capacity planning ; CO2 emissions ; efficiency ; integration ; Load flow ; Load modeling ; Loss measurement ; Planning ; renewable ; Transmission systems ; Uncertainty</subject><ispartof>2011 IEEE Power and Energy Society General Meeting, 2011, p.1-8</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6039611$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,778,782,787,788,2054,27912,54907</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6039611$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Del Rosso, A.</creatorcontrib><creatorcontrib>Clark, C.</creatorcontrib><title>Methods and tools to estimate carbon emission savings from integration of renewable and T&D efficiency improvement</title><title>2011 IEEE Power and Energy Society General Meeting</title><addtitle>PES</addtitle><description>The electricity industry is moving towards the implementation of technologies options to reduce its carbon footprint. With that, the need for a consistent methodology for assessing and verify the emission reduction attributable to technology project arises. This paper first present an overview of different methodologies that are currently used for estimating CO 2 emission savings from the integration of renewable generation. The strength and weaknesses of these approaches, and their suitability to asses CO 2 avoided emissions from measures to improve transmission and distributing system efficiencies are addressed. A new evaluation methodology based on the EPRI calculation tool, the NESSIE model, is then presented. A simple case study is presented to illustrate its application. Finally, a summary of main conclusions and recommendation for further investigation are presented.</description><subject>assessment methodology</subject><subject>Capacity planning</subject><subject>CO2 emissions</subject><subject>efficiency</subject><subject>integration</subject><subject>Load flow</subject><subject>Load modeling</subject><subject>Loss measurement</subject><subject>Planning</subject><subject>renewable</subject><subject>Transmission systems</subject><subject>Uncertainty</subject><issn>1932-5517</issn><isbn>9781457710001</isbn><isbn>1457710005</isbn><isbn>1457710021</isbn><isbn>9781457710018</isbn><isbn>1457710013</isbn><isbn>9781457710025</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1UEtLAzEYjKhgW3sXvOTkbWu-zSbZHKXWB1QUrOeSbL7USHe3JKGl_96q9TIPBgZmCLkCNgFg-vZt9j4pGcBEMq4lwAkZQiWUAsZKOCVjrep_z-CMDEDzshAC1AUZpvTFmOBQlQMSXzB_9i5R0zma-36dDkgx5dCajLQx0fYdxTakFA4imW3oVon62Lc0dBlX0eSfoPc0Yoc7Y9f427W4uafofWgCds2ehnYT-y222OVLcu7NOuH4yCPy8TBbTJ-K-evj8_RuXgRQIhfWO42GG1YxW4MClKySUkusZelKI2tRVdI6bktnuTNeaMuNEgq0UKyxko_I9V9vQMTlJh4Wxf3y-Bf_BintXew</recordid><startdate>201107</startdate><enddate>201107</enddate><creator>Del Rosso, A.</creator><creator>Clark, C.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201107</creationdate><title>Methods and tools to estimate carbon emission savings from integration of renewable and T&D efficiency improvement</title><author>Del Rosso, A. ; Clark, C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-bfd9ea3a040b8171e6046696e862d2a685446bd3b2db3daf59b3a75719570cb63</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>assessment methodology</topic><topic>Capacity planning</topic><topic>CO2 emissions</topic><topic>efficiency</topic><topic>integration</topic><topic>Load flow</topic><topic>Load modeling</topic><topic>Loss measurement</topic><topic>Planning</topic><topic>renewable</topic><topic>Transmission systems</topic><topic>Uncertainty</topic><toplevel>online_resources</toplevel><creatorcontrib>Del Rosso, A.</creatorcontrib><creatorcontrib>Clark, C.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Del Rosso, A.</au><au>Clark, C.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Methods and tools to estimate carbon emission savings from integration of renewable and T&D efficiency improvement</atitle><btitle>2011 IEEE Power and Energy Society General Meeting</btitle><stitle>PES</stitle><date>2011-07</date><risdate>2011</risdate><spage>1</spage><epage>8</epage><pages>1-8</pages><issn>1932-5517</issn><isbn>9781457710001</isbn><isbn>1457710005</isbn><eisbn>1457710021</eisbn><eisbn>9781457710018</eisbn><eisbn>1457710013</eisbn><eisbn>9781457710025</eisbn><abstract>The electricity industry is moving towards the implementation of technologies options to reduce its carbon footprint. With that, the need for a consistent methodology for assessing and verify the emission reduction attributable to technology project arises. This paper first present an overview of different methodologies that are currently used for estimating CO 2 emission savings from the integration of renewable generation. The strength and weaknesses of these approaches, and their suitability to asses CO 2 avoided emissions from measures to improve transmission and distributing system efficiencies are addressed. A new evaluation methodology based on the EPRI calculation tool, the NESSIE model, is then presented. A simple case study is presented to illustrate its application. Finally, a summary of main conclusions and recommendation for further investigation are presented.</abstract><pub>IEEE</pub><doi>10.1109/PES.2011.6039611</doi><tpages>8</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1932-5517 |
ispartof | 2011 IEEE Power and Energy Society General Meeting, 2011, p.1-8 |
issn | 1932-5517 |
language | eng |
recordid | cdi_ieee_primary_6039611 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | assessment methodology Capacity planning CO2 emissions efficiency integration Load flow Load modeling Loss measurement Planning renewable Transmission systems Uncertainty |
title | Methods and tools to estimate carbon emission savings from integration of renewable and T&D efficiency improvement |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T00%3A52%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Methods%20and%20tools%20to%20estimate%20carbon%20emission%20savings%20from%20integration%20of%20renewable%20and%20T&D%20efficiency%20improvement&rft.btitle=2011%20IEEE%20Power%20and%20Energy%20Society%20General%20Meeting&rft.au=Del%20Rosso,%20A.&rft.date=2011-07&rft.spage=1&rft.epage=8&rft.pages=1-8&rft.issn=1932-5517&rft.isbn=9781457710001&rft.isbn_list=1457710005&rft_id=info:doi/10.1109/PES.2011.6039611&rft_dat=%3Cieee_6IE%3E6039611%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1457710021&rft.eisbn_list=9781457710018&rft.eisbn_list=1457710013&rft.eisbn_list=9781457710025&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6039611&rfr_iscdi=true |