Impact of PHEVs Penetration on Ontario’s Electricity Grid and Environmental Considerations
Plug-in hybrid electric vehicles (PHEVs) have a large potential to reduce greenhouse gases emissions and increase fuel economy and fuel flexibility. PHEVs are propelled by the energy from both gasoline and electric power sources. Penetration of PHEVs into the automobile market affects the electrical...
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Veröffentlicht in: | Energies (Basel) 2012-12, Vol.5 (12), p.5019-5037 |
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creator | Ahmadi, Lena Croiset, Eric Elkamel, Ali Douglas, Peter Unbangluang, Woramon Entchev, Evgueniy |
description | Plug-in hybrid electric vehicles (PHEVs) have a large potential to reduce greenhouse gases emissions and increase fuel economy and fuel flexibility. PHEVs are propelled by the energy from both gasoline and electric power sources. Penetration of PHEVs into the automobile market affects the electrical grid through an increase in electricity demand. This paper studies effects of the wide spread adoption of PHEVs on peak and base load demands in Ontario, Canada. Long-term forecasting models of peak and base load demands and the number of light-duty vehicles sold were developed. To create proper forecasting models, both linear regression (LR) and non-linear regression (NLR) techniques were employed, considering different ranges in the demographic, climate and economic variables. The results from the LR and NLR models were compared and the most accurate one was selected. Furthermore, forecasting the effects of PHEVs penetration is done through consideration of various scenarios of penetration levels, such as mild, normal and aggressive ones. Finally, the additional electricity demand on the Ontario electricity grid from charging PHEVs is incorporated for electricity production planning purposes. |
doi_str_mv | 10.3390/en5125019 |
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PHEVs are propelled by the energy from both gasoline and electric power sources. Penetration of PHEVs into the automobile market affects the electrical grid through an increase in electricity demand. This paper studies effects of the wide spread adoption of PHEVs on peak and base load demands in Ontario, Canada. Long-term forecasting models of peak and base load demands and the number of light-duty vehicles sold were developed. To create proper forecasting models, both linear regression (LR) and non-linear regression (NLR) techniques were employed, considering different ranges in the demographic, climate and economic variables. The results from the LR and NLR models were compared and the most accurate one was selected. Furthermore, forecasting the effects of PHEVs penetration is done through consideration of various scenarios of penetration levels, such as mild, normal and aggressive ones. 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Finally, the additional electricity demand on the Ontario electricity grid from charging PHEVs is incorporated for electricity production planning purposes.</description><subject>Chemical engineering</subject><subject>Coal-fired power plants</subject><subject>Electric vehicles</subject><subject>Electricity</subject><subject>Electricity distribution</subject><subject>Energy consumption</subject><subject>Energy efficiency</subject><subject>Environmental impact</subject><subject>Forecasting</subject><subject>Fossil fuels</subject><subject>GDP</subject><subject>Gross Domestic Product</subject><subject>Industrial plant emissions</subject><subject>Load</subject><subject>Production planning</subject><subject>Regression analysis</subject><issn>1996-1073</issn><issn>1996-1073</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpNkMFKAzEQhoMoWGoPvkHAk4fVZKdpNkdZ1rZQaA_Fk7BkkyykdJM1SYXefA1fzydxZUUcBmYO3z__8CN0S8kDgCCPxjGaM0LFBZpQIRYZJRwu_-3XaBbjgQwFQAFggl7XXS9Vwr7Fu1X1EvHOOJOCTNY7PPTWJRms__r4jLg6GpWCVTad8TJYjaXTuHLvNnjXmQE84tK7aLUZ9fEGXbXyGM3sd07R_rnal6tss12uy6dNpnKRp0wN7wlgqtDAeS4ao4GKOeU5Z5rrpmWESA2t0A1nTUPnyoh5QUjbmIXWmsAU3Y1n--DfTiam-uBPwQ2ONWXASQGiKAbqfqRU8DEG09Z9sJ0M55qS-ie--i8--Aaw7WM_</recordid><startdate>20121201</startdate><enddate>20121201</enddate><creator>Ahmadi, Lena</creator><creator>Croiset, Eric</creator><creator>Elkamel, Ali</creator><creator>Douglas, Peter</creator><creator>Unbangluang, Woramon</creator><creator>Entchev, Evgueniy</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PKEHL</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20121201</creationdate><title>Impact of PHEVs Penetration on Ontario’s Electricity Grid and Environmental Considerations</title><author>Ahmadi, Lena ; Croiset, Eric ; Elkamel, Ali ; Douglas, Peter ; Unbangluang, Woramon ; Entchev, Evgueniy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c292t-c996935c8d37729bed319417275d7dbf500ad3f9db75bb14ce94800fbe6ddd03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Chemical engineering</topic><topic>Coal-fired power plants</topic><topic>Electric vehicles</topic><topic>Electricity</topic><topic>Electricity distribution</topic><topic>Energy consumption</topic><topic>Energy efficiency</topic><topic>Environmental impact</topic><topic>Forecasting</topic><topic>Fossil fuels</topic><topic>GDP</topic><topic>Gross Domestic Product</topic><topic>Industrial plant emissions</topic><topic>Load</topic><topic>Production planning</topic><topic>Regression analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ahmadi, Lena</creatorcontrib><creatorcontrib>Croiset, Eric</creatorcontrib><creatorcontrib>Elkamel, Ali</creatorcontrib><creatorcontrib>Douglas, Peter</creatorcontrib><creatorcontrib>Unbangluang, Woramon</creatorcontrib><creatorcontrib>Entchev, Evgueniy</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Energies (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ahmadi, Lena</au><au>Croiset, Eric</au><au>Elkamel, Ali</au><au>Douglas, Peter</au><au>Unbangluang, Woramon</au><au>Entchev, Evgueniy</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of PHEVs Penetration on Ontario’s Electricity Grid and Environmental Considerations</atitle><jtitle>Energies (Basel)</jtitle><date>2012-12-01</date><risdate>2012</risdate><volume>5</volume><issue>12</issue><spage>5019</spage><epage>5037</epage><pages>5019-5037</pages><issn>1996-1073</issn><eissn>1996-1073</eissn><abstract>Plug-in hybrid electric vehicles (PHEVs) have a large potential to reduce greenhouse gases emissions and increase fuel economy and fuel flexibility. PHEVs are propelled by the energy from both gasoline and electric power sources. Penetration of PHEVs into the automobile market affects the electrical grid through an increase in electricity demand. This paper studies effects of the wide spread adoption of PHEVs on peak and base load demands in Ontario, Canada. Long-term forecasting models of peak and base load demands and the number of light-duty vehicles sold were developed. To create proper forecasting models, both linear regression (LR) and non-linear regression (NLR) techniques were employed, considering different ranges in the demographic, climate and economic variables. The results from the LR and NLR models were compared and the most accurate one was selected. Furthermore, forecasting the effects of PHEVs penetration is done through consideration of various scenarios of penetration levels, such as mild, normal and aggressive ones. Finally, the additional electricity demand on the Ontario electricity grid from charging PHEVs is incorporated for electricity production planning purposes.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/en5125019</doi><tpages>19</tpages><oa>free_for_read</oa></addata></record> |
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source | MDPI - Multidisciplinary Digital Publishing Institute; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals |
subjects | Chemical engineering Coal-fired power plants Electric vehicles Electricity Electricity distribution Energy consumption Energy efficiency Environmental impact Forecasting Fossil fuels GDP Gross Domestic Product Industrial plant emissions Load Production planning Regression analysis |
title | Impact of PHEVs Penetration on Ontario’s Electricity Grid and Environmental Considerations |
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