Assessing environmental impact: Micro-energy network optimization in a Chinese industrial park
Micro-energy systems contribute significantly to environmental improvement by reducing dependence on power grids through the utilization of multiple renewable energy sources. This study quantified the environmental impact of a micro-energy network system in an industrial park through a life cycle as...
Gespeichert in:
| Veröffentlicht in: | Chinese journal of population resources and environment (Online) 2024-03, Vol.22 (1), p.68-73 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 73 |
|---|---|
| container_issue | 1 |
| container_start_page | 68 |
| container_title | Chinese journal of population resources and environment (Online) |
| container_volume | 22 |
| creator | Cao, Guanzhun Feng, Chuan Li, Tong Zhang, Hongjuan Guo, Xiaoyao Li, Wen Jia, Yanshuang Chen, Leping Xu, Yuan Wang, Qingsong Chen, Guifang Yuan, Xueliang |
| description | Micro-energy systems contribute significantly to environmental improvement by reducing dependence on power grids through the utilization of multiple renewable energy sources. This study quantified the environmental impact of a micro-energy network system in an industrial park through a life cycle assessment using the operation of the micro-energy network over a year as the functional unit and “cradle-to-gate” as the system boundary. Based on the baseline scenario, a natural gas generator set was added to replace central heating, and the light pipes were expanded to constitute the optimized scenario. The results showed that the key impact categories for both scenarios were global warming, fine particulate matter formation, human carcinogenic toxicity, and human non-carcinogenic toxicity. The overall environmental impact of the optimized scenario was reduced by 68% compared to the baseline scenario. A sensitivity analysis of the key factors showed that electricity from the power grid was the key impact factor in both scenarios, followed by central heating and natural gas. Therefore, to reduce the environmental impact of network systems, it is necessary to further optimize the grid power structure. The research approach can be used to optimize micro-energy networks and evaluate the environmental impact of different energy systems. |
| doi_str_mv | 10.1016/j.cjpre.2024.03.006 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3072017194</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S2325426224000068</els_id><sourcerecordid>3072017194</sourcerecordid><originalsourceid>FETCH-LOGICAL-c326t-331c0308474cd1e45530323e4581c9a1136b10d473b2d92a43d94e7ce6454bc53</originalsourceid><addsrcrecordid>eNp9kM1OwzAQhCMEEhX0CbhE4pyw9jpJg8ShqviTirjAFct1tsVp6wTbLSpPj0s5cOK0s9LMrPZLkgsGOQNWXrW5bntHOQcucsAcoDxKBhx5kQle8uM_-jQZet8CAK9QVHU1SN7G3pP3xi5SslvjOrsmG9QqNete6XCdPhntuowsucUutRQ-O7dMuz6YtflSwXQ2NTZV6eTdWPIUl2bjgzOxoVdueZ6czNXK0_B3niWvd7cvk4ds-nz_OBlPM428DBki04AwEpXQDSNRFAjIMYoR07ViDMsZg0ZUOONNzZXAphZUaSpFIWa6wLPk8tDbu-5jQz7Itts4G09KhIoDq1gtogsPrviS947msndmrdxOMpB7lrKVPyzlnqUElJFlTN0cUhQf2Bpy0mtDVlNjHOkgm878m_8GPat9tA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3072017194</pqid></control><display><type>article</type><title>Assessing environmental impact: Micro-energy network optimization in a Chinese industrial park</title><source>ProQuest One Community College</source><source>DOAJ Directory of Open Access Journals</source><source>国家哲学社会科学学术期刊数据库 (National Social Sciences Database)</source><source>ProQuest Central UK/Ireland</source><source>Alma/SFX Local Collection</source><source>ProQuest Central</source><creator>Cao, Guanzhun ; Feng, Chuan ; Li, Tong ; Zhang, Hongjuan ; Guo, Xiaoyao ; Li, Wen ; Jia, Yanshuang ; Chen, Leping ; Xu, Yuan ; Wang, Qingsong ; Chen, Guifang ; Yuan, Xueliang</creator><creatorcontrib>Cao, Guanzhun ; Feng, Chuan ; Li, Tong ; Zhang, Hongjuan ; Guo, Xiaoyao ; Li, Wen ; Jia, Yanshuang ; Chen, Leping ; Xu, Yuan ; Wang, Qingsong ; Chen, Guifang ; Yuan, Xueliang</creatorcontrib><description>Micro-energy systems contribute significantly to environmental improvement by reducing dependence on power grids through the utilization of multiple renewable energy sources. This study quantified the environmental impact of a micro-energy network system in an industrial park through a life cycle assessment using the operation of the micro-energy network over a year as the functional unit and “cradle-to-gate” as the system boundary. Based on the baseline scenario, a natural gas generator set was added to replace central heating, and the light pipes were expanded to constitute the optimized scenario. The results showed that the key impact categories for both scenarios were global warming, fine particulate matter formation, human carcinogenic toxicity, and human non-carcinogenic toxicity. The overall environmental impact of the optimized scenario was reduced by 68% compared to the baseline scenario. A sensitivity analysis of the key factors showed that electricity from the power grid was the key impact factor in both scenarios, followed by central heating and natural gas. Therefore, to reduce the environmental impact of network systems, it is necessary to further optimize the grid power structure. The research approach can be used to optimize micro-energy networks and evaluate the environmental impact of different energy systems.</description><identifier>ISSN: 2325-4262</identifier><identifier>ISSN: 2096-9589</identifier><identifier>EISSN: 2325-4262</identifier><identifier>DOI: 10.1016/j.cjpre.2024.03.006</identifier><language>eng</language><publisher>Ji'nan: Elsevier B.V</publisher><subject>Air pollution ; Alternative energy sources ; Carbon ; Carcinogens ; Central heating ; Climate change ; Electricity ; Electricity distribution ; Emissions ; Energy consumption ; Energy resources ; Environmental assessment ; Environmental impact ; Gas generators ; Global warming ; Industrial parks ; Industrial plant emissions ; Inventory ; Life cycle analysis ; Life cycle assessment ; Light ; Light pipes ; Lighting ; Micro-energy network ; Natural gas ; Network management systems ; Optimal operation ; Optimization ; Particulate matter ; Pollutants ; Renewable energy sources ; Renewable resources ; Sensitivity analysis ; Toxicity</subject><ispartof>Chinese journal of population resources and environment (Online), 2024-03, Vol.22 (1), p.68-73</ispartof><rights>2024 Shandong Normal University</rights><rights>2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-331c0308474cd1e45530323e4581c9a1136b10d473b2d92a43d94e7ce6454bc53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/3072017194?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,864,21388,27924,27925,33744,43805,64385,64389,72469,73128,73129,73131</link.rule.ids></links><search><creatorcontrib>Cao, Guanzhun</creatorcontrib><creatorcontrib>Feng, Chuan</creatorcontrib><creatorcontrib>Li, Tong</creatorcontrib><creatorcontrib>Zhang, Hongjuan</creatorcontrib><creatorcontrib>Guo, Xiaoyao</creatorcontrib><creatorcontrib>Li, Wen</creatorcontrib><creatorcontrib>Jia, Yanshuang</creatorcontrib><creatorcontrib>Chen, Leping</creatorcontrib><creatorcontrib>Xu, Yuan</creatorcontrib><creatorcontrib>Wang, Qingsong</creatorcontrib><creatorcontrib>Chen, Guifang</creatorcontrib><creatorcontrib>Yuan, Xueliang</creatorcontrib><title>Assessing environmental impact: Micro-energy network optimization in a Chinese industrial park</title><title>Chinese journal of population resources and environment (Online)</title><description>Micro-energy systems contribute significantly to environmental improvement by reducing dependence on power grids through the utilization of multiple renewable energy sources. This study quantified the environmental impact of a micro-energy network system in an industrial park through a life cycle assessment using the operation of the micro-energy network over a year as the functional unit and “cradle-to-gate” as the system boundary. Based on the baseline scenario, a natural gas generator set was added to replace central heating, and the light pipes were expanded to constitute the optimized scenario. The results showed that the key impact categories for both scenarios were global warming, fine particulate matter formation, human carcinogenic toxicity, and human non-carcinogenic toxicity. The overall environmental impact of the optimized scenario was reduced by 68% compared to the baseline scenario. A sensitivity analysis of the key factors showed that electricity from the power grid was the key impact factor in both scenarios, followed by central heating and natural gas. Therefore, to reduce the environmental impact of network systems, it is necessary to further optimize the grid power structure. The research approach can be used to optimize micro-energy networks and evaluate the environmental impact of different energy systems.</description><subject>Air pollution</subject><subject>Alternative energy sources</subject><subject>Carbon</subject><subject>Carcinogens</subject><subject>Central heating</subject><subject>Climate change</subject><subject>Electricity</subject><subject>Electricity distribution</subject><subject>Emissions</subject><subject>Energy consumption</subject><subject>Energy resources</subject><subject>Environmental assessment</subject><subject>Environmental impact</subject><subject>Gas generators</subject><subject>Global warming</subject><subject>Industrial parks</subject><subject>Industrial plant emissions</subject><subject>Inventory</subject><subject>Life cycle analysis</subject><subject>Life cycle assessment</subject><subject>Light</subject><subject>Light pipes</subject><subject>Lighting</subject><subject>Micro-energy network</subject><subject>Natural gas</subject><subject>Network management systems</subject><subject>Optimal operation</subject><subject>Optimization</subject><subject>Particulate matter</subject><subject>Pollutants</subject><subject>Renewable energy sources</subject><subject>Renewable resources</subject><subject>Sensitivity analysis</subject><subject>Toxicity</subject><issn>2325-4262</issn><issn>2096-9589</issn><issn>2325-4262</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kM1OwzAQhCMEEhX0CbhE4pyw9jpJg8ShqviTirjAFct1tsVp6wTbLSpPj0s5cOK0s9LMrPZLkgsGOQNWXrW5bntHOQcucsAcoDxKBhx5kQle8uM_-jQZet8CAK9QVHU1SN7G3pP3xi5SslvjOrsmG9QqNete6XCdPhntuowsucUutRQ-O7dMuz6YtflSwXQ2NTZV6eTdWPIUl2bjgzOxoVdueZ6czNXK0_B3niWvd7cvk4ds-nz_OBlPM428DBki04AwEpXQDSNRFAjIMYoR07ViDMsZg0ZUOONNzZXAphZUaSpFIWa6wLPk8tDbu-5jQz7Itts4G09KhIoDq1gtogsPrviS947msndmrdxOMpB7lrKVPyzlnqUElJFlTN0cUhQf2Bpy0mtDVlNjHOkgm878m_8GPat9tA</recordid><startdate>202403</startdate><enddate>202403</enddate><creator>Cao, Guanzhun</creator><creator>Feng, Chuan</creator><creator>Li, Tong</creator><creator>Zhang, Hongjuan</creator><creator>Guo, Xiaoyao</creator><creator>Li, Wen</creator><creator>Jia, Yanshuang</creator><creator>Chen, Leping</creator><creator>Xu, Yuan</creator><creator>Wang, Qingsong</creator><creator>Chen, Guifang</creator><creator>Yuan, Xueliang</creator><general>Elsevier B.V</general><general>KeAi Publishing Communications Ltd</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope></search><sort><creationdate>202403</creationdate><title>Assessing environmental impact: Micro-energy network optimization in a Chinese industrial park</title><author>Cao, Guanzhun ; Feng, Chuan ; Li, Tong ; Zhang, Hongjuan ; Guo, Xiaoyao ; Li, Wen ; Jia, Yanshuang ; Chen, Leping ; Xu, Yuan ; Wang, Qingsong ; Chen, Guifang ; Yuan, Xueliang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-331c0308474cd1e45530323e4581c9a1136b10d473b2d92a43d94e7ce6454bc53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Air pollution</topic><topic>Alternative energy sources</topic><topic>Carbon</topic><topic>Carcinogens</topic><topic>Central heating</topic><topic>Climate change</topic><topic>Electricity</topic><topic>Electricity distribution</topic><topic>Emissions</topic><topic>Energy consumption</topic><topic>Energy resources</topic><topic>Environmental assessment</topic><topic>Environmental impact</topic><topic>Gas generators</topic><topic>Global warming</topic><topic>Industrial parks</topic><topic>Industrial plant emissions</topic><topic>Inventory</topic><topic>Life cycle analysis</topic><topic>Life cycle assessment</topic><topic>Light</topic><topic>Light pipes</topic><topic>Lighting</topic><topic>Micro-energy network</topic><topic>Natural gas</topic><topic>Network management systems</topic><topic>Optimal operation</topic><topic>Optimization</topic><topic>Particulate matter</topic><topic>Pollutants</topic><topic>Renewable energy sources</topic><topic>Renewable resources</topic><topic>Sensitivity analysis</topic><topic>Toxicity</topic><toplevel>online_resources</toplevel><creatorcontrib>Cao, Guanzhun</creatorcontrib><creatorcontrib>Feng, Chuan</creatorcontrib><creatorcontrib>Li, Tong</creatorcontrib><creatorcontrib>Zhang, Hongjuan</creatorcontrib><creatorcontrib>Guo, Xiaoyao</creatorcontrib><creatorcontrib>Li, Wen</creatorcontrib><creatorcontrib>Jia, Yanshuang</creatorcontrib><creatorcontrib>Chen, Leping</creatorcontrib><creatorcontrib>Xu, Yuan</creatorcontrib><creatorcontrib>Wang, Qingsong</creatorcontrib><creatorcontrib>Chen, Guifang</creatorcontrib><creatorcontrib>Yuan, Xueliang</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Environmental Science Database</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><jtitle>Chinese journal of population resources and environment (Online)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cao, Guanzhun</au><au>Feng, Chuan</au><au>Li, Tong</au><au>Zhang, Hongjuan</au><au>Guo, Xiaoyao</au><au>Li, Wen</au><au>Jia, Yanshuang</au><au>Chen, Leping</au><au>Xu, Yuan</au><au>Wang, Qingsong</au><au>Chen, Guifang</au><au>Yuan, Xueliang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing environmental impact: Micro-energy network optimization in a Chinese industrial park</atitle><jtitle>Chinese journal of population resources and environment (Online)</jtitle><date>2024-03</date><risdate>2024</risdate><volume>22</volume><issue>1</issue><spage>68</spage><epage>73</epage><pages>68-73</pages><issn>2325-4262</issn><issn>2096-9589</issn><eissn>2325-4262</eissn><abstract>Micro-energy systems contribute significantly to environmental improvement by reducing dependence on power grids through the utilization of multiple renewable energy sources. This study quantified the environmental impact of a micro-energy network system in an industrial park through a life cycle assessment using the operation of the micro-energy network over a year as the functional unit and “cradle-to-gate” as the system boundary. Based on the baseline scenario, a natural gas generator set was added to replace central heating, and the light pipes were expanded to constitute the optimized scenario. The results showed that the key impact categories for both scenarios were global warming, fine particulate matter formation, human carcinogenic toxicity, and human non-carcinogenic toxicity. The overall environmental impact of the optimized scenario was reduced by 68% compared to the baseline scenario. A sensitivity analysis of the key factors showed that electricity from the power grid was the key impact factor in both scenarios, followed by central heating and natural gas. Therefore, to reduce the environmental impact of network systems, it is necessary to further optimize the grid power structure. The research approach can be used to optimize micro-energy networks and evaluate the environmental impact of different energy systems.</abstract><cop>Ji'nan</cop><pub>Elsevier B.V</pub><doi>10.1016/j.cjpre.2024.03.006</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2325-4262 |
| ispartof | Chinese journal of population resources and environment (Online), 2024-03, Vol.22 (1), p.68-73 |
| issn | 2325-4262 2096-9589 2325-4262 |
| language | eng |
| recordid | cdi_proquest_journals_3072017194 |
| source | ProQuest One Community College; DOAJ Directory of Open Access Journals; 国家哲学社会科学学术期刊数据库 (National Social Sciences Database); ProQuest Central UK/Ireland; Alma/SFX Local Collection; ProQuest Central |
| subjects | Air pollution Alternative energy sources Carbon Carcinogens Central heating Climate change Electricity Electricity distribution Emissions Energy consumption Energy resources Environmental assessment Environmental impact Gas generators Global warming Industrial parks Industrial plant emissions Inventory Life cycle analysis Life cycle assessment Light Light pipes Lighting Micro-energy network Natural gas Network management systems Optimal operation Optimization Particulate matter Pollutants Renewable energy sources Renewable resources Sensitivity analysis Toxicity |
| title | Assessing environmental impact: Micro-energy network optimization in a Chinese industrial park |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T11%3A20%3A53IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Assessing%20environmental%20impact:%20Micro-energy%20network%20optimization%20in%20a%20Chinese%20industrial%20park&rft.jtitle=Chinese%20journal%20of%20population%20resources%20and%20environment%20(Online)&rft.au=Cao,%20Guanzhun&rft.date=2024-03&rft.volume=22&rft.issue=1&rft.spage=68&rft.epage=73&rft.pages=68-73&rft.issn=2325-4262&rft.eissn=2325-4262&rft_id=info:doi/10.1016/j.cjpre.2024.03.006&rft_dat=%3Cproquest_cross%3E3072017194%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3072017194&rft_id=info:pmid/&rft_els_id=S2325426224000068&rfr_iscdi=true |