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祝颖

教师姓名:祝颖
教师拼音名称:zhuying
所在单位:环境与市政工程学院
学历:博士研究生
性别:女
联系方式:邮箱 : zhuyingxauat@163.com
学位:博士学位
在职信息:在职
主要任职:国家科技专家库专家
其他任职:环境科学学会会员,系统工程学会会员
毕业院校:华北电力大学
所属院系:环境与市政工程学院
学科:环境工程    
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论文成果
Impact of multi-energy complementary system on carbon emissions: Insights from a rural building in Shangluo City, China
发布时间:2025-08-22    点击次数:

所属单位:环境与市政工程学院

发表刊物:Energy Conversion and Management

关键字:Design optimization; Multi-energy complementary system; Carbon emission; Rural building

摘要:Energy inefficiency and elevated carbon emissions are prevalent in rural areas, presenting significant challenges to achieving sustainable development. Optimizing rural energy systems is urgently required to mitigate these challenges. Multi-energy complementary system based on renewable energy sources offer significant advantages, effectively improving energy structure optimization and mitigating environmental pollution. This study focuses on rural building in Shangluo City, Shaanxi Province, China, and proposes a power generation system that integrates solar and biomass energy, supplemented by the municipal grid. The design leverages local renewable energy resources and energy consumption patterns, addressing renewable energy uncertainties and environmental impacts. EnergyPlus is employed to predict building energy consumption and analyze energy consumption characteristics. The Copula function is applied to optimize the resource matching between solar and biomass energy, ensuring energy supply stability and system reliability. A carbon emission accounting model, with minimum carbon emissions as the objective function, is developed to further optimize energy utilization efficiency. Results indicate that the total annual cumulative cooling and heating load of the building is 80.5 kWh/m2, with local annual solar radiation of 4776.72 MJ/m2 and per capita biomass resource availability of 648.92 kg, sufficient to meet the building’s energy demand. The Frank-Copula function demonstrates the highest accuracy in matching solar and biomass energy. The implementation of the proposed system achieves a 66.27% reduction in annual carbon emissions, demonstrating its effectiveness in carbon mitigation. Furthermore, the study shows the potential of the system to enhance energy sustainability, reduce environmental impacts, and adapt flexibly to various application scenarios.

备注:祝颖

合写作者:贺月莛,周秦

第一作者:祝颖

论文类型:期刊论文

文献类型:J

卷号:327

页面范围:119595

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发表时间:2025-01-01

收录刊物:SCI