机器学习辅助生物质热化学处理研究进展

IF 14.4 Q1 ENERGY & FUELS
Hailong Li, Jiefeng Chen, Weijin Zhang, Hao-Yue Zhan, Chao He, Zequn Yang, Haoyi Peng, Lijian Leng
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引用次数: 32

摘要

热化学处理是一种很有前途的生物质处理和增值技术。最近,机器学习(ML)已被广泛用于预测生物质热化学处理产生的生物炭、生物油、合成气和水相的产量、组成和性质。ML在帮助热化学过程发展方面显示出巨大的潜力。本综述旨在1)介绍热化学过程中的ML方案和策略以及输入和输出特征的描述符;2) 总结和比较ML辅助生物质湿法(水热碳化/液化/气化)和干法(焙烧/热解/气化)热化学处理的最新研究(即预测油/焦/气/水相的产率、组成和性质以及热转化行为或动力学);以及3)确定差距,并为未来的研究提供指导,这些研究涉及如何提高预测性能、提高可推广性、帮助机制和应用研究,以及在社区中有效共享数据和模型。ML预计在不久的将来将大大加快生物质热化学处理工艺的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine-learning-aided thermochemical treatment of biomass: a review
Thermochemical treatment is a promising technique for biomass disposal and valorization. Recently, machine learning (ML) has been extensively used to predict yields, compositions, and properties of biochar, bio-oil, syngas, and aqueous phases produced by the thermochemical treatment of biomass. ML demonstrates great potential to aid the development of thermochemical processes. The present review aims to 1) introduce the ML schemes and strategies as well as descriptors of the input and output features in thermochemical processes; 2) summarize and compare the up-to-date research in both ML-aided wet (hydrothermal carbonization/liquefaction/gasification) and dry (torrefaction/pyrolysis/gasification) thermochemical treatment of biomass (i.e., predicting the yields, compositions, and properties of oil/char/gas/aqueous phases as well as thermal conversion behavior or kinetics); and 3) identify the gaps and provide guidance for future studies concerning how to improve predictive performance, increase generalizability, aid mechanistic and application studies, and effectively share data and models in the community. The development of biomass thermochemical treatment processes is envisaged to be greatly accelerated by ML in the near future.
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来源期刊
CiteScore
22.10
自引率
1.50%
发文量
15
审稿时长
8 weeks
期刊介绍: Biofuel Research Journal (BRJ) is a leading, peer-reviewed academic journal that focuses on high-quality research in the field of biofuels, bioproducts, and biomass-derived materials and technologies. The journal's primary goal is to contribute to the advancement of knowledge and understanding in the areas of sustainable energy solutions, environmental protection, and the circular economy. BRJ accepts various types of articles, including original research papers, review papers, case studies, short communications, and hypotheses. The specific areas covered by the journal include Biofuels and Bioproducts, Biomass Valorization, Biomass-Derived Materials for Energy and Storage Systems, Techno-Economic and Environmental Assessments, Climate Change and Sustainability, and Biofuels and Bioproducts in Circular Economy, among others. BRJ actively encourages interdisciplinary collaborations among researchers, engineers, scientists, policymakers, and industry experts to facilitate the adoption of sustainable energy solutions and promote a greener future. The journal maintains rigorous standards of peer review and editorial integrity to ensure that only impactful and high-quality research is published. Currently, BRJ is indexed by several prominent databases such as Web of Science, CAS Databases, Directory of Open Access Journals, Scimago Journal Rank, Scopus, Google Scholar, Elektronische Zeitschriftenbibliothek EZB, et al.
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