探究农业工业废物增值利用以实现可持续沼气生产的最新进展。
Insights into the recent advances of agro-industrial waste valorization for sustainable biogas production.
机构信息
Department of Seafood Science, National Kaohsiung University of Science and Technology, Kaohsiung City, Taiwan; Department of Marine Environmental Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City, Taiwan.
Department of Seafood Science, National Kaohsiung University of Science and Technology, Kaohsiung City, Taiwan.
出版信息
Bioresour Technol. 2023 Dec;390:129829. doi: 10.1016/j.biortech.2023.129829. Epub 2023 Oct 13.
Recent years have seen a transition to a sustainable circular economy model that uses agro-industrial waste biomass waste to produce energy while reducing trash and greenhouse gas emissions. Biogas production from lignocellulosic biomass (LCB) is an alternative option in the hunt for clean and renewable fuels. Different approaches are employed to transform the LCB to biogas, including pretreatment, anaerobic digestion (AD), and biogas upgradation to biomethane. To maintain process stability and improve AD performance, machine learning (ML) tools are being applied in real-time monitoring, predicting, and optimizing the biogas production process. An environmental life cycle assessment approach for biogas production systems is essential to calculate greenhouse gas emissions. The current review presents a detailed overview of the utilization of agro-waste for sustainable biogas production. Different methods of waste biomass processing and valorization are discussed that contribute towards developing an efficient agro-waste to biogas-based circular economy.
近年来，人们已经向可持续的循环经济模式转变，该模式利用农业工业废物生物质来生产能源，同时减少垃圾和温室气体排放。利用木质纤维素生物质（LCB）生产沼气是寻找清洁可再生燃料的另一种选择。为了将 LCB 转化为沼气，人们采用了不同的方法，包括预处理、厌氧消化（AD）和沼气升级为生物甲烷。为了保持过程稳定性并提高 AD 性能，机器学习（ML）工具正在实时监测、预测和优化沼气生产过程中得到应用。对于沼气生产系统，生命周期评估方法对于计算温室气体排放至关重要。目前的综述详细介绍了利用农业废物进行可持续沼气生产的情况。讨论了不同的废物生物质处理和增值方法，这些方法有助于发展高效的农业废物到沼气为基础的循环经济。
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