首页|Assessing environmental impact:Micro-energy network optimization in a Chinese industrial park

Assessing environmental impact:Micro-energy network optimization in a Chinese industrial park

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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 environ-mental 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 sys-tem boundary.Based on the baseline scenario,a natural gas generator set was added to replace central heat-ing,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 carcino-genic toxicity,and human non-carcinogenic toxicity.The overall environmental impact of the optimized sce-nario 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.

Micro-energy networkLife cycle assessmentOptimal operationEnvironmental impact

Guanzhun Cao、Chuan Feng、Tong Li、Hongjuan Zhang、Xiaoyao Guo、Wen Li、Yanshuang Jia、Leping Chen、Yuan Xu、Qingsong Wang、Guifang Chen、Xueliang Yuan

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China Tobacco Shandong Industrial Co.,Ltd.,Jinan 250104,China

Shandong Academy of Environmental Sciences,Jinan 250109,China

Shandong Electrical Engineering&Equipment Group Co.,Ltd.,Jinan 250001,China

School of Energy and Power Engineering,Shandong University,Jinan 250061,China

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国家重点研发计划Key Research and Development ProvinceTaishan Scholar Project

2019YFC19039002023SFGC010 1tsqn202103010

2024

中国人口·资源与环境(英文版)
中国可持续发展研究会等

中国人口·资源与环境(英文版)

CSTPCD
影响因子:0.117
ISSN:1004-2857
年,卷(期):2024.22(1)
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