Two-phase collaborative optimization and operation strategy for a new distributed energy system that combines multi-energy storage for a nearly zero energy community
•A new distributed energy system that combines multi-energy storage is proposed.•An operation strategy that prioritizes the use of renewable energy is introduced.•A two-phase collaborative optimization method is proposed.•The new system is applied to a nearly zero energy community. The combination o...
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| Veröffentlicht in: | Energy conversion and management 2021-02, Vol.230, p.113800, Article 113800 |
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| creator | Liu, Zhijian Guo, Jiacheng Wu, Di Fan, Guangyao Zhang, Shicong Yang, Xinyan Ge, Hua |
| description | •A new distributed energy system that combines multi-energy storage is proposed.•An operation strategy that prioritizes the use of renewable energy is introduced.•A two-phase collaborative optimization method is proposed.•The new system is applied to a nearly zero energy community.
The combination of a distributed energy system and multi-energy storage system has the potential to use renewable energy on a large scale and to further improve the system’s energy efficiency. Therefore, a new type of distributed energy system that combines multi-energy storage is proposed in this paper. Its novelty is that the three types of energy storage, i.e., cold, heat and electricity, are considered simultaneously, and the electric vehicle load is also included in the distributed energy system in combination with the multi-energy storage system, which allows full consideration of the effect of multi-energy storage on the distributed energy system. Three operation modes are proposed to give full play to the advantages of the new system according to the charging mode for electric vehicles. Subsequently, a two-phase collaborative optimization method for system configuration and operation optimization is proposed, and it is applied to a nearly zero energy community. The results show that the primary energy savings rate of the distributed energy system that combines multi-energy storage is 53.5% when the electric vehicle charging load is provided by the new system, which is 17.5% higher than that of the traditional distributed energy system, while the annual cost savings rate increased by only 8.3%. In addition, the hourly operating cost of the distributed energy system that combines multi-energy storage is also significantly reduced compared with the separated production system. Therefore, the method of two-phase collaborative optimization in the new system proposed in this paper can be used to realize the optimal system configuration and operation design for energy savings and consumption reduction. Finally, the new system can provide a feasible scheme for the energy supply of a nearly zero energy community in the future. |
| doi_str_mv | 10.1016/j.enconman.2020.113800 |
| format | Article |
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The combination of a distributed energy system and multi-energy storage system has the potential to use renewable energy on a large scale and to further improve the system’s energy efficiency. Therefore, a new type of distributed energy system that combines multi-energy storage is proposed in this paper. Its novelty is that the three types of energy storage, i.e., cold, heat and electricity, are considered simultaneously, and the electric vehicle load is also included in the distributed energy system in combination with the multi-energy storage system, which allows full consideration of the effect of multi-energy storage on the distributed energy system. Three operation modes are proposed to give full play to the advantages of the new system according to the charging mode for electric vehicles. Subsequently, a two-phase collaborative optimization method for system configuration and operation optimization is proposed, and it is applied to a nearly zero energy community. The results show that the primary energy savings rate of the distributed energy system that combines multi-energy storage is 53.5% when the electric vehicle charging load is provided by the new system, which is 17.5% higher than that of the traditional distributed energy system, while the annual cost savings rate increased by only 8.3%. In addition, the hourly operating cost of the distributed energy system that combines multi-energy storage is also significantly reduced compared with the separated production system. Therefore, the method of two-phase collaborative optimization in the new system proposed in this paper can be used to realize the optimal system configuration and operation design for energy savings and consumption reduction. Finally, the new system can provide a feasible scheme for the energy supply of a nearly zero energy community in the future.</description><identifier>ISSN: 0196-8904</identifier><identifier>EISSN: 1879-2227</identifier><identifier>DOI: 10.1016/j.enconman.2020.113800</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Cold storage ; Collaboration ; Configuration management ; Cost control ; Distributed energy system ; Distributed generation ; Electric vehicle ; Electric vehicle charging ; Electric vehicles ; Electrical loads ; Energy ; Energy conservation ; Energy efficiency ; Energy storage ; Heat recovery systems ; Multiple-energy storage ; Operating costs ; Operation strategy ; Optimization ; Renewable energy ; Sensitivity analysis ; Stress concentration ; Two-phase collaborative optimization</subject><ispartof>Energy conversion and management, 2021-02, Vol.230, p.113800, Article 113800</ispartof><rights>2020 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Feb 15, 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c340t-1c7cecaeeab417b98b18a2e3adff9a3567c81225476ea85f2500d388582283c13</citedby><cites>FETCH-LOGICAL-c340t-1c7cecaeeab417b98b18a2e3adff9a3567c81225476ea85f2500d388582283c13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.enconman.2020.113800$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Liu, Zhijian</creatorcontrib><creatorcontrib>Guo, Jiacheng</creatorcontrib><creatorcontrib>Wu, Di</creatorcontrib><creatorcontrib>Fan, Guangyao</creatorcontrib><creatorcontrib>Zhang, Shicong</creatorcontrib><creatorcontrib>Yang, Xinyan</creatorcontrib><creatorcontrib>Ge, Hua</creatorcontrib><title>Two-phase collaborative optimization and operation strategy for a new distributed energy system that combines multi-energy storage for a nearly zero energy community</title><title>Energy conversion and management</title><description>•A new distributed energy system that combines multi-energy storage is proposed.•An operation strategy that prioritizes the use of renewable energy is introduced.•A two-phase collaborative optimization method is proposed.•The new system is applied to a nearly zero energy community.
The combination of a distributed energy system and multi-energy storage system has the potential to use renewable energy on a large scale and to further improve the system’s energy efficiency. Therefore, a new type of distributed energy system that combines multi-energy storage is proposed in this paper. Its novelty is that the three types of energy storage, i.e., cold, heat and electricity, are considered simultaneously, and the electric vehicle load is also included in the distributed energy system in combination with the multi-energy storage system, which allows full consideration of the effect of multi-energy storage on the distributed energy system. Three operation modes are proposed to give full play to the advantages of the new system according to the charging mode for electric vehicles. Subsequently, a two-phase collaborative optimization method for system configuration and operation optimization is proposed, and it is applied to a nearly zero energy community. The results show that the primary energy savings rate of the distributed energy system that combines multi-energy storage is 53.5% when the electric vehicle charging load is provided by the new system, which is 17.5% higher than that of the traditional distributed energy system, while the annual cost savings rate increased by only 8.3%. In addition, the hourly operating cost of the distributed energy system that combines multi-energy storage is also significantly reduced compared with the separated production system. Therefore, the method of two-phase collaborative optimization in the new system proposed in this paper can be used to realize the optimal system configuration and operation design for energy savings and consumption reduction. Finally, the new system can provide a feasible scheme for the energy supply of a nearly zero energy community in the future.</description><subject>Cold storage</subject><subject>Collaboration</subject><subject>Configuration management</subject><subject>Cost control</subject><subject>Distributed energy system</subject><subject>Distributed generation</subject><subject>Electric vehicle</subject><subject>Electric vehicle charging</subject><subject>Electric vehicles</subject><subject>Electrical loads</subject><subject>Energy</subject><subject>Energy conservation</subject><subject>Energy efficiency</subject><subject>Energy storage</subject><subject>Heat recovery systems</subject><subject>Multiple-energy storage</subject><subject>Operating costs</subject><subject>Operation strategy</subject><subject>Optimization</subject><subject>Renewable energy</subject><subject>Sensitivity analysis</subject><subject>Stress concentration</subject><subject>Two-phase collaborative optimization</subject><issn>0196-8904</issn><issn>1879-2227</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqFUctOwzAQtBBIlMcvIEucU2ynSZwbqOIlVeJSzpbjbFpXiV1sp1X6P_wnrkK5crJ3dmZWu4PQHSVTSmj-sJmCUdZ00kwZYRGkKSfkDE0oL8qEMVacowmhZZ7wkswu0ZX3G0JImpF8gr6Xe5ts19IDVrZtZWWdDHoH2G6D7vQhFtZgaeoIgBsrH-IHVgNurMMSG9jjWkdQV32AGoMBF5t-8AE6HNYyROuu0gY87vo26OTECHHYCv5spGsHfABnTxZR1vVGh-EGXTSy9XD7-16jz5fn5fwtWXy8vs-fFolKZyQkVBUKlASQ1YwWVckryiWDVNZNU8o0ywvFKWPZrMhB8qxhGSF1ynnGGeOpouk1uh99t85-9eCD2NjemThSRC5lebx3Fln5yFLOeu-gEVunO-kGQYk4RiI24hSJOEYixkii8HEUQtxhp8EJr3RkQq0dqCBqq_-z-AEbt50g</recordid><startdate>20210215</startdate><enddate>20210215</enddate><creator>Liu, Zhijian</creator><creator>Guo, Jiacheng</creator><creator>Wu, Di</creator><creator>Fan, Guangyao</creator><creator>Zhang, Shicong</creator><creator>Yang, Xinyan</creator><creator>Ge, Hua</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></search><sort><creationdate>20210215</creationdate><title>Two-phase collaborative optimization and operation strategy for a new distributed energy system that combines multi-energy storage for a nearly zero energy community</title><author>Liu, Zhijian ; Guo, Jiacheng ; Wu, Di ; Fan, Guangyao ; Zhang, Shicong ; Yang, Xinyan ; Ge, Hua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c340t-1c7cecaeeab417b98b18a2e3adff9a3567c81225476ea85f2500d388582283c13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Cold storage</topic><topic>Collaboration</topic><topic>Configuration management</topic><topic>Cost control</topic><topic>Distributed energy system</topic><topic>Distributed generation</topic><topic>Electric vehicle</topic><topic>Electric vehicle charging</topic><topic>Electric vehicles</topic><topic>Electrical loads</topic><topic>Energy</topic><topic>Energy conservation</topic><topic>Energy efficiency</topic><topic>Energy storage</topic><topic>Heat recovery systems</topic><topic>Multiple-energy storage</topic><topic>Operating costs</topic><topic>Operation strategy</topic><topic>Optimization</topic><topic>Renewable energy</topic><topic>Sensitivity analysis</topic><topic>Stress concentration</topic><topic>Two-phase collaborative optimization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Zhijian</creatorcontrib><creatorcontrib>Guo, Jiacheng</creatorcontrib><creatorcontrib>Wu, Di</creatorcontrib><creatorcontrib>Fan, Guangyao</creatorcontrib><creatorcontrib>Zhang, Shicong</creatorcontrib><creatorcontrib>Yang, Xinyan</creatorcontrib><creatorcontrib>Ge, Hua</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>Liu, Zhijian</au><au>Guo, Jiacheng</au><au>Wu, Di</au><au>Fan, Guangyao</au><au>Zhang, Shicong</au><au>Yang, Xinyan</au><au>Ge, Hua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Two-phase collaborative optimization and operation strategy for a new distributed energy system that combines multi-energy storage for a nearly zero energy community</atitle><jtitle>Energy conversion and management</jtitle><date>2021-02-15</date><risdate>2021</risdate><volume>230</volume><spage>113800</spage><pages>113800-</pages><artnum>113800</artnum><issn>0196-8904</issn><eissn>1879-2227</eissn><abstract>•A new distributed energy system that combines multi-energy storage is proposed.•An operation strategy that prioritizes the use of renewable energy is introduced.•A two-phase collaborative optimization method is proposed.•The new system is applied to a nearly zero energy community.
The combination of a distributed energy system and multi-energy storage system has the potential to use renewable energy on a large scale and to further improve the system’s energy efficiency. Therefore, a new type of distributed energy system that combines multi-energy storage is proposed in this paper. Its novelty is that the three types of energy storage, i.e., cold, heat and electricity, are considered simultaneously, and the electric vehicle load is also included in the distributed energy system in combination with the multi-energy storage system, which allows full consideration of the effect of multi-energy storage on the distributed energy system. Three operation modes are proposed to give full play to the advantages of the new system according to the charging mode for electric vehicles. Subsequently, a two-phase collaborative optimization method for system configuration and operation optimization is proposed, and it is applied to a nearly zero energy community. The results show that the primary energy savings rate of the distributed energy system that combines multi-energy storage is 53.5% when the electric vehicle charging load is provided by the new system, which is 17.5% higher than that of the traditional distributed energy system, while the annual cost savings rate increased by only 8.3%. In addition, the hourly operating cost of the distributed energy system that combines multi-energy storage is also significantly reduced compared with the separated production system. Therefore, the method of two-phase collaborative optimization in the new system proposed in this paper can be used to realize the optimal system configuration and operation design for energy savings and consumption reduction. Finally, the new system can provide a feasible scheme for the energy supply of a nearly zero energy community in the future.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.enconman.2020.113800</doi></addata></record> |
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| source | ScienceDirect Journals (5 years ago - present) |
| subjects | Cold storage Collaboration Configuration management Cost control Distributed energy system Distributed generation Electric vehicle Electric vehicle charging Electric vehicles Electrical loads Energy Energy conservation Energy efficiency Energy storage Heat recovery systems Multiple-energy storage Operating costs Operation strategy Optimization Renewable energy Sensitivity analysis Stress concentration Two-phase collaborative optimization |
| title | Two-phase collaborative optimization and operation strategy for a new distributed energy system that combines multi-energy storage for a nearly zero energy community |
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