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A methodology for optimal sizing of autonomous hybrid PV/wind system
The present paper presents a methodology to perform the optimal sizing of an autonomous hybrid PV/wind system. The methodology aims at finding the configuration, among a set of systems components, which meets the desired system reliability requirements, with the lowest value of levelized cost of ene...
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| Published in: | Energy policy 2007-11, Vol.35 (11), p.5708-5718 |
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| Main Authors: | , , , , |
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| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c660t-350d2ad50fd745b545f3e1aaa62c7d66fb66a1be8369add1ef463fe4f29755703 |
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| cites | cdi_FETCH-LOGICAL-c660t-350d2ad50fd745b545f3e1aaa62c7d66fb66a1be8369add1ef463fe4f29755703 |
| container_end_page | 5718 |
| container_issue | 11 |
| container_start_page | 5708 |
| container_title | Energy policy |
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| creator | Diaf, S. Diaf, D. Belhamel, M. Haddadi, M. Louche, A. |
| description | The present paper presents a methodology to perform the optimal sizing of an autonomous hybrid PV/wind system. The methodology aims at finding the configuration, among a set of systems components, which meets the desired system reliability requirements, with the lowest value of levelized cost of energy.
Modelling a hybrid PV/wind system is considered as the first step in the optimal sizing procedure. In this paper, more accurate mathematical models for characterizing PV module, wind generator and battery are proposed. The second step consists to optimize the sizing of a system according to the loss of power supply probability (LPSP) and the levelized cost of energy (LCE) concepts.
Considering various types and capacities of system devices, the configurations, which can meet the desired system reliability, are obtained by changing the type and size of the devices systems. The configuration with the lowest LCE gives the optimal choice.
Applying this method to an assumed PV/wind hybrid system to be installed at Corsica Island, the simulation results show that the optimal configuration, which meet the desired system reliability requirements (LPSP=0) with the lowest LCE, is obtained for a system comprising a 125
W photovoltaic module, one wind generator (600
W) and storage batteries (using 253
Ah). On the other hand, the device system choice plays an important role in cost reduction as well as in energy production. |
| doi_str_mv | 10.1016/j.enpol.2007.06.020 |
| format | article |
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Modelling a hybrid PV/wind system is considered as the first step in the optimal sizing procedure. In this paper, more accurate mathematical models for characterizing PV module, wind generator and battery are proposed. The second step consists to optimize the sizing of a system according to the loss of power supply probability (LPSP) and the levelized cost of energy (LCE) concepts.
Considering various types and capacities of system devices, the configurations, which can meet the desired system reliability, are obtained by changing the type and size of the devices systems. The configuration with the lowest LCE gives the optimal choice.
Applying this method to an assumed PV/wind hybrid system to be installed at Corsica Island, the simulation results show that the optimal configuration, which meet the desired system reliability requirements (LPSP=0) with the lowest LCE, is obtained for a system comprising a 125
W photovoltaic module, one wind generator (600
W) and storage batteries (using 253
Ah). On the other hand, the device system choice plays an important role in cost reduction as well as in energy production.</description><identifier>ISSN: 0301-4215</identifier><identifier>EISSN: 1873-6777</identifier><identifier>DOI: 10.1016/j.enpol.2007.06.020</identifier><identifier>CODEN: ENPYAC</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Applied sciences ; Economic data ; Electric energy ; Electric power ; Electricity ; Energy ; Energy costs ; Energy economics ; Engineering Sciences ; Exact sciences and technology ; General, economic and professional studies ; Levelized cost of energy ; Loss of power load probability ; Mathematical models ; Methodology ; Methodology. Modelling ; Natural energy ; Optimization ; Optimum system sizing ; Photovoltaic cells ; Power reliability ; Power supply ; Renewable energy sources ; Simulation ; Studies ; Sustainability ; Wind energy ; Wind power</subject><ispartof>Energy policy, 2007-11, Vol.35 (11), p.5708-5718</ispartof><rights>2007 Elsevier Ltd</rights><rights>2008 INIST-CNRS</rights><rights>Copyright Elsevier Science Ltd. Nov 2007</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c660t-350d2ad50fd745b545f3e1aaa62c7d66fb66a1be8369add1ef463fe4f29755703</citedby><cites>FETCH-LOGICAL-c660t-350d2ad50fd745b545f3e1aaa62c7d66fb66a1be8369add1ef463fe4f29755703</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27864,27922,27923,33221,33222</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=19159351$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttp://econpapers.repec.org/article/eeeenepol/v_3a35_3ay_3a2007_3ai_3a11_3ap_3a5708-5718.htm$$DView record in RePEc$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-00183357$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Diaf, S.</creatorcontrib><creatorcontrib>Diaf, D.</creatorcontrib><creatorcontrib>Belhamel, M.</creatorcontrib><creatorcontrib>Haddadi, M.</creatorcontrib><creatorcontrib>Louche, A.</creatorcontrib><title>A methodology for optimal sizing of autonomous hybrid PV/wind system</title><title>Energy policy</title><description>The present paper presents a methodology to perform the optimal sizing of an autonomous hybrid PV/wind system. The methodology aims at finding the configuration, among a set of systems components, which meets the desired system reliability requirements, with the lowest value of levelized cost of energy.
Modelling a hybrid PV/wind system is considered as the first step in the optimal sizing procedure. In this paper, more accurate mathematical models for characterizing PV module, wind generator and battery are proposed. The second step consists to optimize the sizing of a system according to the loss of power supply probability (LPSP) and the levelized cost of energy (LCE) concepts.
Considering various types and capacities of system devices, the configurations, which can meet the desired system reliability, are obtained by changing the type and size of the devices systems. The configuration with the lowest LCE gives the optimal choice.
Applying this method to an assumed PV/wind hybrid system to be installed at Corsica Island, the simulation results show that the optimal configuration, which meet the desired system reliability requirements (LPSP=0) with the lowest LCE, is obtained for a system comprising a 125
W photovoltaic module, one wind generator (600
W) and storage batteries (using 253
Ah). On the other hand, the device system choice plays an important role in cost reduction as well as in energy production.</description><subject>Applied sciences</subject><subject>Economic data</subject><subject>Electric energy</subject><subject>Electric power</subject><subject>Electricity</subject><subject>Energy</subject><subject>Energy costs</subject><subject>Energy economics</subject><subject>Engineering Sciences</subject><subject>Exact sciences and technology</subject><subject>General, economic and professional studies</subject><subject>Levelized cost of energy</subject><subject>Loss of power load probability</subject><subject>Mathematical models</subject><subject>Methodology</subject><subject>Methodology. Modelling</subject><subject>Natural energy</subject><subject>Optimization</subject><subject>Optimum system sizing</subject><subject>Photovoltaic cells</subject><subject>Power reliability</subject><subject>Power supply</subject><subject>Renewable energy sources</subject><subject>Simulation</subject><subject>Studies</subject><subject>Sustainability</subject><subject>Wind energy</subject><subject>Wind power</subject><issn>0301-4215</issn><issn>1873-6777</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><sourceid>8BJ</sourceid><recordid>eNp9kcGL1DAUxosoOK7-BV6KoOCh3ZemSdqDh2FXXWFED-o1ZJKXnQxtU5POSP3rTbfLCh4MvBcIv_fyfXxZ9pJASYDwy2OJw-i7sgIQJfASKniUbUgjaMGFEI-zDVAgRV0R9jR7FuMRAOqmrTfZ9TbvcTp44zt_O-fWh9yPk-tVl0f32w23ube5Ok1-8L0_xfww74Mz-dcfl7_cYPI4xwn759kTq7qIL-7vi-z7h_ffrm6K3ZePn662u0JzDlNBGZhKGQbWiJrtWc0sRaKU4pUWhnO751yRPTaUt8oYgrbm1GJtq1YwJoBeZG_XvQfVyTEklWGWXjl5s93J5Q2ANJQycSaJfbOyY_A_Txgn2buosevUgMmIpFxQEHwBX_0DHv0pDMmHrIBRwmqgCaIrpIOPMaB9-J6AXCKQR3kXgVwikMBliiBNfV6nAo6oH0YwnQEX-Cypoiy1OdXdJE1uqCIktTFVct1IJkgjD1Of9r2-l6qiVp0NatAu_pXSEtZStlh6t3KYwjg7DDJqh4NG4wLqSRrv_qv7D12gtaA</recordid><startdate>20071101</startdate><enddate>20071101</enddate><creator>Diaf, S.</creator><creator>Diaf, D.</creator><creator>Belhamel, M.</creator><creator>Haddadi, M.</creator><creator>Louche, A.</creator><general>Elsevier Ltd</general><general>Elsevier</general><general>Elsevier Science Ltd</general><scope>IQODW</scope><scope>DKI</scope><scope>X2L</scope><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>1XC</scope><scope>VOOES</scope></search><sort><creationdate>20071101</creationdate><title>A methodology for optimal sizing of autonomous hybrid PV/wind system</title><author>Diaf, S. ; Diaf, D. ; Belhamel, M. ; Haddadi, M. ; Louche, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c660t-350d2ad50fd745b545f3e1aaa62c7d66fb66a1be8369add1ef463fe4f29755703</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Applied sciences</topic><topic>Economic data</topic><topic>Electric energy</topic><topic>Electric power</topic><topic>Electricity</topic><topic>Energy</topic><topic>Energy costs</topic><topic>Energy economics</topic><topic>Engineering Sciences</topic><topic>Exact sciences and technology</topic><topic>General, economic and professional studies</topic><topic>Levelized cost of energy</topic><topic>Loss of power load probability</topic><topic>Mathematical models</topic><topic>Methodology</topic><topic>Methodology. Modelling</topic><topic>Natural energy</topic><topic>Optimization</topic><topic>Optimum system sizing</topic><topic>Photovoltaic cells</topic><topic>Power reliability</topic><topic>Power supply</topic><topic>Renewable energy sources</topic><topic>Simulation</topic><topic>Studies</topic><topic>Sustainability</topic><topic>Wind energy</topic><topic>Wind power</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Diaf, S.</creatorcontrib><creatorcontrib>Diaf, D.</creatorcontrib><creatorcontrib>Belhamel, M.</creatorcontrib><creatorcontrib>Haddadi, M.</creatorcontrib><creatorcontrib>Louche, A.</creatorcontrib><collection>Pascal-Francis</collection><collection>RePEc IDEAS</collection><collection>RePEc</collection><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>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Energy policy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Diaf, S.</au><au>Diaf, D.</au><au>Belhamel, M.</au><au>Haddadi, M.</au><au>Louche, A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A methodology for optimal sizing of autonomous hybrid PV/wind system</atitle><jtitle>Energy policy</jtitle><date>2007-11-01</date><risdate>2007</risdate><volume>35</volume><issue>11</issue><spage>5708</spage><epage>5718</epage><pages>5708-5718</pages><issn>0301-4215</issn><eissn>1873-6777</eissn><coden>ENPYAC</coden><abstract>The present paper presents a methodology to perform the optimal sizing of an autonomous hybrid PV/wind system. The methodology aims at finding the configuration, among a set of systems components, which meets the desired system reliability requirements, with the lowest value of levelized cost of energy.
Modelling a hybrid PV/wind system is considered as the first step in the optimal sizing procedure. In this paper, more accurate mathematical models for characterizing PV module, wind generator and battery are proposed. The second step consists to optimize the sizing of a system according to the loss of power supply probability (LPSP) and the levelized cost of energy (LCE) concepts.
Considering various types and capacities of system devices, the configurations, which can meet the desired system reliability, are obtained by changing the type and size of the devices systems. The configuration with the lowest LCE gives the optimal choice.
Applying this method to an assumed PV/wind hybrid system to be installed at Corsica Island, the simulation results show that the optimal configuration, which meet the desired system reliability requirements (LPSP=0) with the lowest LCE, is obtained for a system comprising a 125
W photovoltaic module, one wind generator (600
W) and storage batteries (using 253
Ah). On the other hand, the device system choice plays an important role in cost reduction as well as in energy production.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.enpol.2007.06.020</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Energy policy, 2007-11, Vol.35 (11), p.5708-5718 |
| issn | 0301-4215 1873-6777 |
| language | eng |
| recordid | cdi_hal_primary_oai_HAL_hal_00183357v1 |
| source | International Bibliography of the Social Sciences (IBSS); ScienceDirect Journals; PAIS Index |
| subjects | Applied sciences Economic data Electric energy Electric power Electricity Energy Energy costs Energy economics Engineering Sciences Exact sciences and technology General, economic and professional studies Levelized cost of energy Loss of power load probability Mathematical models Methodology Methodology. Modelling Natural energy Optimization Optimum system sizing Photovoltaic cells Power reliability Power supply Renewable energy sources Simulation Studies Sustainability Wind energy Wind power |
| title | A methodology for optimal sizing of autonomous hybrid PV/wind system |
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