Evaluating the market splitting determinants: evidence from the Iberian spot electricity prices
This paper aims to assess the main determinants on the market splitting behaviour of the Iberian electricity spot markets. Iberia stands as an ideal case-study, where the high level deployment of wind power is observed, together with the implementation of the market splitting arrangement between the...
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Veröffentlicht in: | Energy policy 2015-10, Vol.85, p.218-234 |
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description | This paper aims to assess the main determinants on the market splitting behaviour of the Iberian electricity spot markets. Iberia stands as an ideal case-study, where the high level deployment of wind power is observed, together with the implementation of the market splitting arrangement between the Portuguese and the Spanish spot electricity markets.
Logit and non-parametric models are used to express the probability response for market splitting of day-ahead spot electricity prices as a function of the explanatory variables representing the main technologies in the generation mix: wind, hydro, thermal and nuclear power, together with the available transfer capacity and electricity demand. Logit models give preliminary indications about market splitting behaviour, and then, notwithstanding the demanding computational challenge, a non-parametric model is applied in order to overcome the limitations of the former models.
Results show an increase of market splitting probability with higher wind power generation or, more generally, with higher availability of low marginal cost electricity such as nuclear power generation.
The European interconnection capacity target of 10% of the peak demand of the smallest interconnected market might be insufficient to maintain electricity market integration. Therefore, pro-active coordination policies, governing both interconnections and renewables deployment, should be further developed.
•Assess determinants on market splitting behaviour of Iberian electricity markets.•Logit and non-parametric models to express market splitting probability response.•Explanatory variables: wind, hydro, thermal and nuclear power; ATC and demand.•Results: increase of market splitting probability with higher availability of low marginal cost electricity.•Coordination policies governing both interconnections and renewables deployment. |
doi_str_mv | 10.1016/j.enpol.2015.06.013 |
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Logit and non-parametric models are used to express the probability response for market splitting of day-ahead spot electricity prices as a function of the explanatory variables representing the main technologies in the generation mix: wind, hydro, thermal and nuclear power, together with the available transfer capacity and electricity demand. Logit models give preliminary indications about market splitting behaviour, and then, notwithstanding the demanding computational challenge, a non-parametric model is applied in order to overcome the limitations of the former models.
Results show an increase of market splitting probability with higher wind power generation or, more generally, with higher availability of low marginal cost electricity such as nuclear power generation.
The European interconnection capacity target of 10% of the peak demand of the smallest interconnected market might be insufficient to maintain electricity market integration. Therefore, pro-active coordination policies, governing both interconnections and renewables deployment, should be further developed.
•Assess determinants on market splitting behaviour of Iberian electricity markets.•Logit and non-parametric models to express market splitting probability response.•Explanatory variables: wind, hydro, thermal and nuclear power; ATC and demand.•Results: increase of market splitting probability with higher availability of low marginal cost electricity.•Coordination policies governing both interconnections and renewables deployment.</description><identifier>ISSN: 0301-4215</identifier><identifier>EISSN: 1873-6777</identifier><identifier>DOI: 10.1016/j.enpol.2015.06.013</identifier><identifier>CODEN: ENPYAC</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Cost ; Determinants ; Electric power ; Electric rates ; Electricity ; Electricity generation ; Electricity pricing ; Energy policy ; Marginal costs ; Market Splitting ; Markets ; Mathematical models ; Non-parametric models ; Prices ; Renewable Energy ; Splitting ; Spots ; Studies ; Technology ; Wind power ; Wind power generation</subject><ispartof>Energy policy, 2015-10, Vol.85, p.218-234</ispartof><rights>2015 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Oct 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c566t-36d983b15e2159d0b449de9cda3c3d27cbf347f2a2b0e47fcd85bd0cd21e7f733</citedby><cites>FETCH-LOGICAL-c566t-36d983b15e2159d0b449de9cda3c3d27cbf347f2a2b0e47fcd85bd0cd21e7f733</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.enpol.2015.06.013$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27865,27866,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Figueiredo, Nuno Carvalho</creatorcontrib><creatorcontrib>Silva, Patrícia Pereira da</creatorcontrib><creatorcontrib>Cerqueira, Pedro A.</creatorcontrib><title>Evaluating the market splitting determinants: evidence from the Iberian spot electricity prices</title><title>Energy policy</title><description>This paper aims to assess the main determinants on the market splitting behaviour of the Iberian electricity spot markets. Iberia stands as an ideal case-study, where the high level deployment of wind power is observed, together with the implementation of the market splitting arrangement between the Portuguese and the Spanish spot electricity markets.
Logit and non-parametric models are used to express the probability response for market splitting of day-ahead spot electricity prices as a function of the explanatory variables representing the main technologies in the generation mix: wind, hydro, thermal and nuclear power, together with the available transfer capacity and electricity demand. Logit models give preliminary indications about market splitting behaviour, and then, notwithstanding the demanding computational challenge, a non-parametric model is applied in order to overcome the limitations of the former models.
Results show an increase of market splitting probability with higher wind power generation or, more generally, with higher availability of low marginal cost electricity such as nuclear power generation.
The European interconnection capacity target of 10% of the peak demand of the smallest interconnected market might be insufficient to maintain electricity market integration. Therefore, pro-active coordination policies, governing both interconnections and renewables deployment, should be further developed.
•Assess determinants on market splitting behaviour of Iberian electricity markets.•Logit and non-parametric models to express market splitting probability response.•Explanatory variables: wind, hydro, thermal and nuclear power; ATC and demand.•Results: increase of market splitting probability with higher availability of low marginal cost electricity.•Coordination policies governing both interconnections and renewables deployment.</description><subject>Cost</subject><subject>Determinants</subject><subject>Electric power</subject><subject>Electric rates</subject><subject>Electricity</subject><subject>Electricity generation</subject><subject>Electricity pricing</subject><subject>Energy policy</subject><subject>Marginal costs</subject><subject>Market Splitting</subject><subject>Markets</subject><subject>Mathematical models</subject><subject>Non-parametric models</subject><subject>Prices</subject><subject>Renewable Energy</subject><subject>Splitting</subject><subject>Spots</subject><subject>Studies</subject><subject>Technology</subject><subject>Wind power</subject><subject>Wind power generation</subject><issn>0301-4215</issn><issn>1873-6777</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNqNkc1qGzEURkVoIG6aJ8hmIJtuZnL1M5KmkEUJaWIIdNOshUa608oZzziSbPDbV7a7yqJkdYU430X6DiHXFBoKVN6uGpw289gwoG0DsgHKz8iCasVrqZT6RBbAgdaC0faCfE5pBQBCd2JBzMPOjlubw_S7yn-wWtv4irlKmzHk46XHjHEdJjvl9K3CXfA4OayGOK-PgWWPMdipJOZc4Ygux-BC3lebMjF9IeeDHRNe_ZuX5OXHw6_7p_r55-Py_vtz7Vopc82l7zTvaYvliZ2HXojOY-e85Y57plw_cKEGZlkPWA7O67b34DyjqAbF-SX5etq7ifPbFlM265AcjqOdcN4mQ5VkoBkT6gOo0LrtqGAfQDnTlJbFBb15h67mbZzKnwtVEMkE6ELxE-XinFLEwZSaSud7Q8EcVJqVOao0B5UGpCkqS-rulMLS4C5gNMmFgwYfYinc-Dn8N_8XTQ6osQ</recordid><startdate>20151001</startdate><enddate>20151001</enddate><creator>Figueiredo, Nuno Carvalho</creator><creator>Silva, Patrícia Pereira da</creator><creator>Cerqueira, Pedro A.</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TA</scope><scope>7TB</scope><scope>7TQ</scope><scope>8BJ</scope><scope>8FD</scope><scope>DHY</scope><scope>DON</scope><scope>F28</scope><scope>FQK</scope><scope>FR3</scope><scope>H8D</scope><scope>JBE</scope><scope>JG9</scope><scope>KR7</scope><scope>L7M</scope><scope>7ST</scope><scope>7U6</scope><scope>C1K</scope><scope>SOI</scope><scope>7SU</scope></search><sort><creationdate>20151001</creationdate><title>Evaluating the market splitting determinants: evidence from the Iberian spot electricity prices</title><author>Figueiredo, Nuno Carvalho ; Silva, Patrícia Pereira da ; Cerqueira, Pedro A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c566t-36d983b15e2159d0b449de9cda3c3d27cbf347f2a2b0e47fcd85bd0cd21e7f733</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Cost</topic><topic>Determinants</topic><topic>Electric power</topic><topic>Electric rates</topic><topic>Electricity</topic><topic>Electricity generation</topic><topic>Electricity pricing</topic><topic>Energy policy</topic><topic>Marginal costs</topic><topic>Market Splitting</topic><topic>Markets</topic><topic>Mathematical models</topic><topic>Non-parametric models</topic><topic>Prices</topic><topic>Renewable Energy</topic><topic>Splitting</topic><topic>Spots</topic><topic>Studies</topic><topic>Technology</topic><topic>Wind power</topic><topic>Wind power generation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Figueiredo, Nuno Carvalho</creatorcontrib><creatorcontrib>Silva, Patrícia Pereira da</creatorcontrib><creatorcontrib>Cerqueira, Pedro A.</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>PAIS Index</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Technology Research Database</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>International Bibliography of the Social Sciences</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>International Bibliography of the Social Sciences</collection><collection>Materials Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>Environmental Engineering Abstracts</collection><jtitle>Energy policy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Figueiredo, Nuno Carvalho</au><au>Silva, Patrícia Pereira da</au><au>Cerqueira, Pedro A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluating the market splitting determinants: evidence from the Iberian spot electricity prices</atitle><jtitle>Energy policy</jtitle><date>2015-10-01</date><risdate>2015</risdate><volume>85</volume><spage>218</spage><epage>234</epage><pages>218-234</pages><issn>0301-4215</issn><eissn>1873-6777</eissn><coden>ENPYAC</coden><abstract>This paper aims to assess the main determinants on the market splitting behaviour of the Iberian electricity spot markets. Iberia stands as an ideal case-study, where the high level deployment of wind power is observed, together with the implementation of the market splitting arrangement between the Portuguese and the Spanish spot electricity markets.
Logit and non-parametric models are used to express the probability response for market splitting of day-ahead spot electricity prices as a function of the explanatory variables representing the main technologies in the generation mix: wind, hydro, thermal and nuclear power, together with the available transfer capacity and electricity demand. Logit models give preliminary indications about market splitting behaviour, and then, notwithstanding the demanding computational challenge, a non-parametric model is applied in order to overcome the limitations of the former models.
Results show an increase of market splitting probability with higher wind power generation or, more generally, with higher availability of low marginal cost electricity such as nuclear power generation.
The European interconnection capacity target of 10% of the peak demand of the smallest interconnected market might be insufficient to maintain electricity market integration. Therefore, pro-active coordination policies, governing both interconnections and renewables deployment, should be further developed.
•Assess determinants on market splitting behaviour of Iberian electricity markets.•Logit and non-parametric models to express market splitting probability response.•Explanatory variables: wind, hydro, thermal and nuclear power; ATC and demand.•Results: increase of market splitting probability with higher availability of low marginal cost electricity.•Coordination policies governing both interconnections and renewables deployment.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.enpol.2015.06.013</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Cost Determinants Electric power Electric rates Electricity Electricity generation Electricity pricing Energy policy Marginal costs Market Splitting Markets Mathematical models Non-parametric models Prices Renewable Energy Splitting Spots Studies Technology Wind power Wind power generation |
title | Evaluating the market splitting determinants: evidence from the Iberian spot electricity prices |
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