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China's bioenergy potential will be stable and decoupling from economy and population at national level: A study based on machine regression prediction model

文献类型：期刊论文

作者Chen, Yushu1,2; Huang, Zetao2; Ma, Chongjian1,3; Wang, Yongyue2; Chen, Weihua2; Zhang, Zhige2; Tan, Tao2,4; Chen, Yong2,4,5
刊名SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
出版日期2024-09-01
卷号69页码:9
关键词Biomass Bioenergy Carbon neutrality Machine learning Optimization algorithm
ISSN号2213-1388
DOI10.1016/j.seta.2024.103927
通讯作者Zhang, Zhige(zhangzhige@scau.edu.cn) ; Tan, Tao(tantao@scau.edu.cn)
英文摘要Policymakers and industry participants strongly demand accurate and convenient methods for predicting bioenergy potential. To address the limitations of existing biophysical models, which require complex inventories and technical support, this study utilizes readily available economic and population data from 1978 to 2021 as independent variables, with bioenergy as the dependent variable. After evaluating ten classical machine learning models and six newly published optimization algorithms, the hybrid of Back Propagation and Marine Predators Algorithm was selected as an effective bioenergy regression prediction model. The prediction results of 2022-2050 indicate that China's bioenergy potential will reach 13 +/- 3.8 Bt equivalent of standard coal and remain stable, decoupled from economic and population trends at the national level over the next three decades. Additionally, developing measures to promote the conversion of biomass into hydrogen, methanol, and sustainable aviation fuels will be a significant opportunity for the sustainable development of the bioenergy industry.
WOS关键词BIOMASS ; EMISSIONS ; RESIDUES
资助项目National Key Research and Development Program of China[2023YFC3905802] ; Guangdong Key Construction Discipline Research Capacity Enhance-ment Project[2022ZDJS047]
WOS研究方向Science & Technology - Other Topics ; Energy & Fuels
语种英语
WOS记录号WOS:001290097700001
出版者ELSEVIER
资助机构National Key Research and Development Program of China ; Guangdong Key Construction Discipline Research Capacity Enhance-ment Project
源URL[http://ir.giec.ac.cn/handle/344007/42587]  
专题中国科学院广州能源研究所
通讯作者Zhang, Zhige; Tan, Tao
作者单位1.Shaoguan Univ, Sch Biol & Agr, Shaoguan 512005, Peoples R China
2.South China Agr Univ, Inst Biomass Engn, Guangzhou 510642, Peoples R China
3.Guangdong Prov Key Lab Utilizat & Conservat Food &, Shaoguan 512005, Peoples R China
4.Nanjing Tech Univ, Sch Mech Engn, Nanjing 211816, Jiangsu, Peoples R China
5.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Yushu,Huang, Zetao,Ma, Chongjian,et al. China's bioenergy potential will be stable and decoupling from economy and population at national level: A study based on machine regression prediction model[J]. SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS,2024,69:9.
APA Chen, Yushu.,Huang, Zetao.,Ma, Chongjian.,Wang, Yongyue.,Chen, Weihua.,...&Chen, Yong.(2024).China's bioenergy potential will be stable and decoupling from economy and population at national level: A study based on machine regression prediction model.SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS,69,9.
MLA Chen, Yushu,et al."China's bioenergy potential will be stable and decoupling from economy and population at national level: A study based on machine regression prediction model".SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS 69(2024):9.

入库方式： OAI收割

来源：广州能源研究所

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