Research and Economic Analysis of the Source-Load Coordination of Oil Shale Exploitation
In-situ exploitation of oil shale by electric heating consumes large amounts of electricity. Under the existing dispatch system, using wind power output and photovoltaic power output to support the exploitation of oil shale can promote renewable energy use, reduce the consumption of coal and other f...
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| Veröffentlicht in: | Mathematical problems in engineering 2019, Vol.2019 (2019), p.1-14 |
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| creator | Wang, Yiwei Yang, Yuwei Ye, Tianze Zhang, Le Yang, Xiyun Su, Jianzheng |
| description | In-situ exploitation of oil shale by electric heating consumes large amounts of electricity. Under the existing dispatch system, using wind power output and photovoltaic power output to support the exploitation of oil shale can promote renewable energy use, reduce the consumption of coal and other fossil fuels, and protect the environment from pollution. In this study, the characteristics of the wind power and photovoltaic power output are analyzed, and the correlation between the power outputs is evaluated using the copula function. The load of exploiting oil shale is presented. In order to match the heating load characteristics of oil shale exploitation, a particle swarm optimization algorithm is used to optimize the heating temperature of the heated well to minimize the cost. An economic analysis is conducted of five different power supply combinations, including wind power, photovoltaic power, and the existing power grid. The income ratio of the five modes is calculated using actual data of a project in Jilin province in China, and the feasibility of in-situ electric heating by wind power, photovoltaic power, and the power grid is determined. The results of this study provide useful references for decision makers to plan the power supply scheme for in-situ oil shale exploitation. |
| doi_str_mv | 10.1155/2019/4897156 |
| format | Article |
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Under the existing dispatch system, using wind power output and photovoltaic power output to support the exploitation of oil shale can promote renewable energy use, reduce the consumption of coal and other fossil fuels, and protect the environment from pollution. In this study, the characteristics of the wind power and photovoltaic power output are analyzed, and the correlation between the power outputs is evaluated using the copula function. The load of exploiting oil shale is presented. In order to match the heating load characteristics of oil shale exploitation, a particle swarm optimization algorithm is used to optimize the heating temperature of the heated well to minimize the cost. An economic analysis is conducted of five different power supply combinations, including wind power, photovoltaic power, and the existing power grid. The income ratio of the five modes is calculated using actual data of a project in Jilin province in China, and the feasibility of in-situ electric heating by wind power, photovoltaic power, and the power grid is determined. The results of this study provide useful references for decision makers to plan the power supply scheme for in-situ oil shale exploitation.</description><identifier>ISSN: 1024-123X</identifier><identifier>EISSN: 1563-5147</identifier><identifier>DOI: 10.1155/2019/4897156</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Algorithms ; Alternative energy sources ; Computer simulation ; Correlation analysis ; Cost analysis ; Economic analysis ; Electric heating ; Electric power ; Electricity ; Electricity consumption ; Electricity distribution ; Energy consumption ; Environmental protection ; Exploitation ; Fossil fuels ; Heat ; Heating load ; Hydrocarbons ; Oil recovery ; Oil shale ; Optimization ; Particle swarm optimization ; Photovoltaic cells ; Pollution ; Power supplies ; Wind farms ; Wind power</subject><ispartof>Mathematical problems in engineering, 2019, Vol.2019 (2019), p.1-14</ispartof><rights>Copyright © 2019 Xiyun Yang et al.</rights><rights>Copyright © 2019 Xiyun Yang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://creativecommons.org/licenses/by/4.0</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c360t-c59934e693de03ae12c11099fa939dfe717736229773a4fc639a1c2865026e143</citedby><cites>FETCH-LOGICAL-c360t-c59934e693de03ae12c11099fa939dfe717736229773a4fc639a1c2865026e143</cites><orcidid>0000-0002-8822-7490</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,4010,27902,27903,27904</link.rule.ids></links><search><contributor>Zhang, Hao</contributor><contributor>Hao Zhang</contributor><creatorcontrib>Wang, Yiwei</creatorcontrib><creatorcontrib>Yang, Yuwei</creatorcontrib><creatorcontrib>Ye, Tianze</creatorcontrib><creatorcontrib>Zhang, Le</creatorcontrib><creatorcontrib>Yang, Xiyun</creatorcontrib><creatorcontrib>Su, Jianzheng</creatorcontrib><title>Research and Economic Analysis of the Source-Load Coordination of Oil Shale Exploitation</title><title>Mathematical problems in engineering</title><description>In-situ exploitation of oil shale by electric heating consumes large amounts of electricity. Under the existing dispatch system, using wind power output and photovoltaic power output to support the exploitation of oil shale can promote renewable energy use, reduce the consumption of coal and other fossil fuels, and protect the environment from pollution. In this study, the characteristics of the wind power and photovoltaic power output are analyzed, and the correlation between the power outputs is evaluated using the copula function. The load of exploiting oil shale is presented. In order to match the heating load characteristics of oil shale exploitation, a particle swarm optimization algorithm is used to optimize the heating temperature of the heated well to minimize the cost. An economic analysis is conducted of five different power supply combinations, including wind power, photovoltaic power, and the existing power grid. The income ratio of the five modes is calculated using actual data of a project in Jilin province in China, and the feasibility of in-situ electric heating by wind power, photovoltaic power, and the power grid is determined. The results of this study provide useful references for decision makers to plan the power supply scheme for in-situ oil shale exploitation.</description><subject>Algorithms</subject><subject>Alternative energy sources</subject><subject>Computer simulation</subject><subject>Correlation analysis</subject><subject>Cost analysis</subject><subject>Economic analysis</subject><subject>Electric heating</subject><subject>Electric power</subject><subject>Electricity</subject><subject>Electricity consumption</subject><subject>Electricity distribution</subject><subject>Energy consumption</subject><subject>Environmental protection</subject><subject>Exploitation</subject><subject>Fossil fuels</subject><subject>Heat</subject><subject>Heating load</subject><subject>Hydrocarbons</subject><subject>Oil recovery</subject><subject>Oil shale</subject><subject>Optimization</subject><subject>Particle swarm optimization</subject><subject>Photovoltaic cells</subject><subject>Pollution</subject><subject>Power supplies</subject><subject>Wind farms</subject><subject>Wind power</subject><issn>1024-123X</issn><issn>1563-5147</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkE1LAzEQhoMoWKs3zxLwqGszySa7OZZSP6BQsAq9LSGbsCnbTU1WtP_e1C149DLvwPswDA9C10AeADifUAJykpeyAC5O0ChNlnHIi9O0E5pnQNn6HF3EuCGEAodyhNavJhoVdINVV-O59p3fOo2nnWr30UXsLe4bg1f-M2iTLbyq8cz7ULtO9c53h37pWrxqVGvw_HvXetf_NpfozKo2mqtjjtH74_xt9pwtlk8vs-ki00yQPtNcSpYbIVltCFMGqAYgUlolmaytKaAomKBUplC51YJJBZqWghMqDORsjG6Hu7vgPz5N7KtN-jW9HyvKIAfBk49E3Q-UDj7GYGy1C26rwr4CUh3cVQd31dFdwu8GvHFdrb7cf_TNQJvEGKv-aJC8pJL9AD4Qdms</recordid><startdate>2019</startdate><enddate>2019</enddate><creator>Wang, Yiwei</creator><creator>Yang, Yuwei</creator><creator>Ye, Tianze</creator><creator>Zhang, Le</creator><creator>Yang, Xiyun</creator><creator>Su, Jianzheng</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0002-8822-7490</orcidid></search><sort><creationdate>2019</creationdate><title>Research and Economic Analysis of the Source-Load Coordination of Oil Shale Exploitation</title><author>Wang, Yiwei ; 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Under the existing dispatch system, using wind power output and photovoltaic power output to support the exploitation of oil shale can promote renewable energy use, reduce the consumption of coal and other fossil fuels, and protect the environment from pollution. In this study, the characteristics of the wind power and photovoltaic power output are analyzed, and the correlation between the power outputs is evaluated using the copula function. The load of exploiting oil shale is presented. In order to match the heating load characteristics of oil shale exploitation, a particle swarm optimization algorithm is used to optimize the heating temperature of the heated well to minimize the cost. An economic analysis is conducted of five different power supply combinations, including wind power, photovoltaic power, and the existing power grid. 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| subjects | Algorithms Alternative energy sources Computer simulation Correlation analysis Cost analysis Economic analysis Electric heating Electric power Electricity Electricity consumption Electricity distribution Energy consumption Environmental protection Exploitation Fossil fuels Heat Heating load Hydrocarbons Oil recovery Oil shale Optimization Particle swarm optimization Photovoltaic cells Pollution Power supplies Wind farms Wind power |
| title | Research and Economic Analysis of the Source-Load Coordination of Oil Shale Exploitation |
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