Carbon Emission Evaluation and Low Carbon Economy Optimization Scheduling of Rural Integrated Energy System Based on LCA Method

IF 3.4 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Access Pub Date : 2025-01-23 DOI:10.1109/ACCESS.2025.3533099
Chunxiao Wu
{"title":"Carbon Emission Evaluation and Low Carbon Economy Optimization Scheduling of Rural Integrated Energy System Based on LCA Method","authors":"Chunxiao Wu","doi":"10.1109/ACCESS.2025.3533099","DOIUrl":null,"url":null,"abstract":"Rural energy has the characteristics of diversity, dispersion, and regionalism. The construction and operation of its comprehensive energy system are essential for promoting the development of a low-carbon economy in rural areas and reducing carbon emissions. In response, the structure of the rural integrated energy system is initially analyzed and the equipment is planned. Subsequently, the carbon emission in each link of the power generation system is estimated by using the life cycle assessment method. Based on the evaluation results, a suitable low-carbon economy optimal scheduling model is established. The generator set and energy storage equipment in the integrated energy system are designed to enhance the efficiency of energy utilization. Then, the life cycle assessment method is used to calculate the carbon emissions of each stage. Next, the optimal scheduling model is established by taking the minimum carbon emissions and system operating costs as the objective function. In addition, the study introduced a water method and a kinetic accelerator to capture carbon dioxide and feed it into a high-pressure pump for storage. This will enable carbon capture and net zero emissions. The findings revealed that Model 1 exhibited minimal carbon emissions, amounting to 48,530.5 kg, and a comparatively low total operating cost of 30,625.48. After being applied to practical systems, the carbon emissions have been significantly reduced. The research model can effectively guide the low-carbon transformation of rural integrated energy systems and provide important technical support for achieving sustainable development goals in rural areas.","PeriodicalId":13079,"journal":{"name":"IEEE Access","volume":"13 ","pages":"17182-17194"},"PeriodicalIF":3.4000,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10851269","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Access","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10851269/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

Rural energy has the characteristics of diversity, dispersion, and regionalism. The construction and operation of its comprehensive energy system are essential for promoting the development of a low-carbon economy in rural areas and reducing carbon emissions. In response, the structure of the rural integrated energy system is initially analyzed and the equipment is planned. Subsequently, the carbon emission in each link of the power generation system is estimated by using the life cycle assessment method. Based on the evaluation results, a suitable low-carbon economy optimal scheduling model is established. The generator set and energy storage equipment in the integrated energy system are designed to enhance the efficiency of energy utilization. Then, the life cycle assessment method is used to calculate the carbon emissions of each stage. Next, the optimal scheduling model is established by taking the minimum carbon emissions and system operating costs as the objective function. In addition, the study introduced a water method and a kinetic accelerator to capture carbon dioxide and feed it into a high-pressure pump for storage. This will enable carbon capture and net zero emissions. The findings revealed that Model 1 exhibited minimal carbon emissions, amounting to 48,530.5 kg, and a comparatively low total operating cost of 30,625.48. After being applied to practical systems, the carbon emissions have been significantly reduced. The research model can effectively guide the low-carbon transformation of rural integrated energy systems and provide important technical support for achieving sustainable development goals in rural areas.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
IEEE Access
IEEE Access COMPUTER SCIENCE, INFORMATION SYSTEMSENGIN-ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
9.80
自引率
7.70%
发文量
6673
审稿时长
6 weeks
期刊介绍: IEEE Access® is a multidisciplinary, open access (OA), applications-oriented, all-electronic archival journal that continuously presents the results of original research or development across all of IEEE''s fields of interest. IEEE Access will publish articles that are of high interest to readers, original, technically correct, and clearly presented. Supported by author publication charges (APC), its hallmarks are a rapid peer review and publication process with open access to all readers. Unlike IEEE''s traditional Transactions or Journals, reviews are "binary", in that reviewers will either Accept or Reject an article in the form it is submitted in order to achieve rapid turnaround. Especially encouraged are submissions on: Multidisciplinary topics, or applications-oriented articles and negative results that do not fit within the scope of IEEE''s traditional journals. Practical articles discussing new experiments or measurement techniques, interesting solutions to engineering. Development of new or improved fabrication or manufacturing techniques. Reviews or survey articles of new or evolving fields oriented to assist others in understanding the new area.
期刊最新文献
Corrections to “Prioritizing DevOps Implementation Guidelines for Sustainable Software Projects” Corrections to “Information Security and Artificial Intelligence-Assisted Diagnosis in an Internet of Medical Thing System (IoMTS)” Corrections to “A Semi-Supervised Learning Approach to Quality-Based Web Service Classification” Corrections to “The Attention Mechanism Performance Analysis for Football Players Using the Internet of Things and Deep Learning” Corrections to “Sandpiper Optimization Algorithm With Region Growing Based Robust Retinal Blood Vessel Segmentation Approach”
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1