A novel algorithm for single-axis maximum power generation sun trackers
•A novel algorithm for a single-axis sun tracker is developed to increase the efficiency.•Photovoltaic module is rotated to find the optimal angle for generating the maximum power.•Electric energy increases up to 8.3%, compared with that of the tracker with three fixed angles.•The rotation range is...
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Veröffentlicht in: | Energy conversion and management 2017-10, Vol.149, p.543-552 |
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creator | Lee, Kung-Yen Chung, Chi-Yao Huang, Bin-Juine Kuo, Ting-Jung Yang, Huang-Wei Cheng, Hung-Yen Hsu, Po-Chien Li, Kang |
description | •A novel algorithm for a single-axis sun tracker is developed to increase the efficiency.•Photovoltaic module is rotated to find the optimal angle for generating the maximum power.•Electric energy increases up to 8.3%, compared with that of the tracker with three fixed angles.•The rotation range is optimized to reduce energy consumption from the rotation operations.
The purpose of this study is to develop a novel algorithm for a single-axis maximum power generation sun tracker in order to identify the optimal stopping angle for generating the maximum amount of daily electric energy. First, the photovoltaic modules of the single-axis maximum power generation sun tracker are automatically rotated from 50° east to 50° west. During the rotation, the instantaneous power generated at different angles is recorded and compared, meaning that the optimal angle for generating the maximum power can be determined. Once the rotation (detection) is completed, the photovoltaic modules are then rotated to the resulting angle for generating the maximum power. The photovoltaic module is rotated once per hour in an attempt to detect the maximum irradiation and overcome the impact of environmental effects such as shading from cloud cover, other photovoltaic modules and surrounding buildings. Furthermore, the detection range is halved so as to reduce the energy consumption from the rotation operations and to improve the reliability of the sun tracker. The results indicate that electric energy production is increased by 3.4% in spring and autumn, 5.4% in summer, and 8.3% in winter, compared with that of the same sun tracker with three fixed angles of 50° east in the morning, 0° at noon and 50° west in the afternoon. |
doi_str_mv | 10.1016/j.enconman.2017.07.041 |
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The purpose of this study is to develop a novel algorithm for a single-axis maximum power generation sun tracker in order to identify the optimal stopping angle for generating the maximum amount of daily electric energy. First, the photovoltaic modules of the single-axis maximum power generation sun tracker are automatically rotated from 50° east to 50° west. During the rotation, the instantaneous power generated at different angles is recorded and compared, meaning that the optimal angle for generating the maximum power can be determined. Once the rotation (detection) is completed, the photovoltaic modules are then rotated to the resulting angle for generating the maximum power. The photovoltaic module is rotated once per hour in an attempt to detect the maximum irradiation and overcome the impact of environmental effects such as shading from cloud cover, other photovoltaic modules and surrounding buildings. Furthermore, the detection range is halved so as to reduce the energy consumption from the rotation operations and to improve the reliability of the sun tracker. The results indicate that electric energy production is increased by 3.4% in spring and autumn, 5.4% in summer, and 8.3% in winter, compared with that of the same sun tracker with three fixed angles of 50° east in the morning, 0° at noon and 50° west in the afternoon.</description><identifier>ISSN: 0196-8904</identifier><identifier>EISSN: 1879-2227</identifier><identifier>DOI: 10.1016/j.enconman.2017.07.041</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>1A-3P ; 1A-MPG ; Algorithms ; Cloud cover ; Direct-search method ; Electric energy production ; Electricity generation ; Energy consumption ; Environmental effects ; Environmental impact ; Irradiation ; Maximum power ; Modules ; Photovoltaic cells ; Photovoltaics ; PV system ; Radiation ; Shading ; Solar rotation ; Studies ; Sun</subject><ispartof>Energy conversion and management, 2017-10, Vol.149, p.543-552</ispartof><rights>2017 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Oct 1, 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c379t-d12516090a2aebfcc4995cbc71324eaee7968f5fa5240df0c72b535479f71bb43</citedby><cites>FETCH-LOGICAL-c379t-d12516090a2aebfcc4995cbc71324eaee7968f5fa5240df0c72b535479f71bb43</cites><orcidid>0000-0003-2590-0702</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0196890417306763$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Lee, Kung-Yen</creatorcontrib><creatorcontrib>Chung, Chi-Yao</creatorcontrib><creatorcontrib>Huang, Bin-Juine</creatorcontrib><creatorcontrib>Kuo, Ting-Jung</creatorcontrib><creatorcontrib>Yang, Huang-Wei</creatorcontrib><creatorcontrib>Cheng, Hung-Yen</creatorcontrib><creatorcontrib>Hsu, Po-Chien</creatorcontrib><creatorcontrib>Li, Kang</creatorcontrib><title>A novel algorithm for single-axis maximum power generation sun trackers</title><title>Energy conversion and management</title><description>•A novel algorithm for a single-axis sun tracker is developed to increase the efficiency.•Photovoltaic module is rotated to find the optimal angle for generating the maximum power.•Electric energy increases up to 8.3%, compared with that of the tracker with three fixed angles.•The rotation range is optimized to reduce energy consumption from the rotation operations.
The purpose of this study is to develop a novel algorithm for a single-axis maximum power generation sun tracker in order to identify the optimal stopping angle for generating the maximum amount of daily electric energy. First, the photovoltaic modules of the single-axis maximum power generation sun tracker are automatically rotated from 50° east to 50° west. During the rotation, the instantaneous power generated at different angles is recorded and compared, meaning that the optimal angle for generating the maximum power can be determined. Once the rotation (detection) is completed, the photovoltaic modules are then rotated to the resulting angle for generating the maximum power. The photovoltaic module is rotated once per hour in an attempt to detect the maximum irradiation and overcome the impact of environmental effects such as shading from cloud cover, other photovoltaic modules and surrounding buildings. Furthermore, the detection range is halved so as to reduce the energy consumption from the rotation operations and to improve the reliability of the sun tracker. The results indicate that electric energy production is increased by 3.4% in spring and autumn, 5.4% in summer, and 8.3% in winter, compared with that of the same sun tracker with three fixed angles of 50° east in the morning, 0° at noon and 50° west in the afternoon.</description><subject>1A-3P</subject><subject>1A-MPG</subject><subject>Algorithms</subject><subject>Cloud cover</subject><subject>Direct-search method</subject><subject>Electric energy production</subject><subject>Electricity generation</subject><subject>Energy consumption</subject><subject>Environmental effects</subject><subject>Environmental impact</subject><subject>Irradiation</subject><subject>Maximum power</subject><subject>Modules</subject><subject>Photovoltaic cells</subject><subject>Photovoltaics</subject><subject>PV system</subject><subject>Radiation</subject><subject>Shading</subject><subject>Solar rotation</subject><subject>Studies</subject><subject>Sun</subject><issn>0196-8904</issn><issn>1879-2227</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNqFkMFOwzAQRC0EEqXwC8gS55S148T1jaqCglSJC5wtx9kUh8YudlLg70lVOCONdi9vZrVDyDWDGQNW3rYz9Db4zvgZByZnMEqwEzJhc6kyzrk8JRNgqszmCsQ5uUipBYC8gHJCVgvqwx631Gw3Ibr-raNNiDQ5v9liZr5cot04u6Gju_CJkW7QYzS9C56mwdM-GvuOMV2Ss8ZsE1797il5fbh_WT5m6-fV03KxzmwuVZ_VjBesBAWGG6waa4VSha2sZDkXaBClKudN0ZiCC6gbsJJXRV4IqRrJqkrkU3JzzN3F8DFg6nUbhujHk5qD4DwXEtRIlUfKxpBSxEbvoutM_NYM9KE03eq_0vShNA2jBBuNd0cjjj_sHUadrBtJrF1E2-s6uP8ifgDzonlR</recordid><startdate>20171001</startdate><enddate>20171001</enddate><creator>Lee, Kung-Yen</creator><creator>Chung, Chi-Yao</creator><creator>Huang, Bin-Juine</creator><creator>Kuo, Ting-Jung</creator><creator>Yang, Huang-Wei</creator><creator>Cheng, Hung-Yen</creator><creator>Hsu, Po-Chien</creator><creator>Li, Kang</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0003-2590-0702</orcidid></search><sort><creationdate>20171001</creationdate><title>A novel algorithm for single-axis maximum power generation sun trackers</title><author>Lee, Kung-Yen ; Chung, Chi-Yao ; Huang, Bin-Juine ; Kuo, Ting-Jung ; Yang, Huang-Wei ; Cheng, Hung-Yen ; Hsu, Po-Chien ; Li, Kang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c379t-d12516090a2aebfcc4995cbc71324eaee7968f5fa5240df0c72b535479f71bb43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>1A-3P</topic><topic>1A-MPG</topic><topic>Algorithms</topic><topic>Cloud cover</topic><topic>Direct-search method</topic><topic>Electric energy production</topic><topic>Electricity generation</topic><topic>Energy consumption</topic><topic>Environmental effects</topic><topic>Environmental impact</topic><topic>Irradiation</topic><topic>Maximum power</topic><topic>Modules</topic><topic>Photovoltaic cells</topic><topic>Photovoltaics</topic><topic>PV system</topic><topic>Radiation</topic><topic>Shading</topic><topic>Solar rotation</topic><topic>Studies</topic><topic>Sun</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Kung-Yen</creatorcontrib><creatorcontrib>Chung, Chi-Yao</creatorcontrib><creatorcontrib>Huang, Bin-Juine</creatorcontrib><creatorcontrib>Kuo, Ting-Jung</creatorcontrib><creatorcontrib>Yang, Huang-Wei</creatorcontrib><creatorcontrib>Cheng, Hung-Yen</creatorcontrib><creatorcontrib>Hsu, Po-Chien</creatorcontrib><creatorcontrib>Li, Kang</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>Energy conversion and management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Kung-Yen</au><au>Chung, Chi-Yao</au><au>Huang, Bin-Juine</au><au>Kuo, Ting-Jung</au><au>Yang, Huang-Wei</au><au>Cheng, Hung-Yen</au><au>Hsu, Po-Chien</au><au>Li, Kang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A novel algorithm for single-axis maximum power generation sun trackers</atitle><jtitle>Energy conversion and management</jtitle><date>2017-10-01</date><risdate>2017</risdate><volume>149</volume><spage>543</spage><epage>552</epage><pages>543-552</pages><issn>0196-8904</issn><eissn>1879-2227</eissn><abstract>•A novel algorithm for a single-axis sun tracker is developed to increase the efficiency.•Photovoltaic module is rotated to find the optimal angle for generating the maximum power.•Electric energy increases up to 8.3%, compared with that of the tracker with three fixed angles.•The rotation range is optimized to reduce energy consumption from the rotation operations.
The purpose of this study is to develop a novel algorithm for a single-axis maximum power generation sun tracker in order to identify the optimal stopping angle for generating the maximum amount of daily electric energy. First, the photovoltaic modules of the single-axis maximum power generation sun tracker are automatically rotated from 50° east to 50° west. During the rotation, the instantaneous power generated at different angles is recorded and compared, meaning that the optimal angle for generating the maximum power can be determined. Once the rotation (detection) is completed, the photovoltaic modules are then rotated to the resulting angle for generating the maximum power. The photovoltaic module is rotated once per hour in an attempt to detect the maximum irradiation and overcome the impact of environmental effects such as shading from cloud cover, other photovoltaic modules and surrounding buildings. Furthermore, the detection range is halved so as to reduce the energy consumption from the rotation operations and to improve the reliability of the sun tracker. The results indicate that electric energy production is increased by 3.4% in spring and autumn, 5.4% in summer, and 8.3% in winter, compared with that of the same sun tracker with three fixed angles of 50° east in the morning, 0° at noon and 50° west in the afternoon.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.enconman.2017.07.041</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-2590-0702</orcidid></addata></record> |
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subjects | 1A-3P 1A-MPG Algorithms Cloud cover Direct-search method Electric energy production Electricity generation Energy consumption Environmental effects Environmental impact Irradiation Maximum power Modules Photovoltaic cells Photovoltaics PV system Radiation Shading Solar rotation Studies Sun |
title | A novel algorithm for single-axis maximum power generation sun trackers |
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