GIEC OpenIR
State indicators of anaerobic digestion: A critical review on process monitoring and diagnosis
Wu, Di1,2,3,4; Li, Lei1; Peng, Yun1; Yang, Pingjin1; Peng, Xuya1; Sun, Yongming2,3,4; Wang, Xiaoming1
2021-09-01
发表期刊RENEWABLE & SUSTAINABLE ENERGY REVIEWS
ISSN1364-0321
卷号148页码:15
通讯作者Peng, Xuya(xuyapengcqu@126.com) ; Sun, Yongming(sunym@ms.giec.ac.cn)
摘要Anaerobic reactors in full-scale biogas plants often encounter process instability; thus, their operational efficiency and further promotion remain limited. Process monitoring can be used to ensure better process stability during anaerobic digestion, the key to which depends on the selection and quantitation of appropriate state indicators. The present review focuses on the recent progress related to state indicators in the field of process monitoring and discusses in detail the ability to identify process status and especially, provide early warning information on process instability, in addition to the current monitoring status at the industrial level. Results show that the explorations of effective state indicators have experienced vigorous development. Most of the proposed state indicators have mainly focused on the gas and liquid phases, and those commonly used are sufficient to achieve effective monitoring in different systems; however, their suitability for use as potential early warning indicators varies. A comprehensive interpretation of the process state requires a combination of different state indicators to supply complementary information. Moreover, the current mode based on setting threshold values to diagnose process stability remains primitive. To ensure that the early warning is more feasible and universal, improvements can be made in terms of establishing a plant-specific database and focusing on the response trends to process disturbance as a basis for diagnosis. On the other hand, monitoring of most key state indicators is limited to external laboratory tests and accordingly, the consequent additional monitoring costs can be reduced by creating a suitable schedule regarding their frequency.
关键词Anaerobic digestion Biogas Early warning Process instability Process monitoring State indicators
DOI10.1016/j.rser.2021.111260
关键词[WOS]SYNTROPHIC ACETATE OXIDATION ; EARLY WARNING INDICATORS ; VOLATILE FATTY-ACIDS ; BIOGAS PRODUCTION ; FOOD WASTE ; PROCESS FAILURE ; CO-DIGESTION ; METHANE FERMENTATION ; OPERATING PARAMETERS ; AMMONIA INHIBITION
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[51776208] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA21050400] ; Chongqing Research Program of Basic Research and Frontier Technology[CSTC2018jcyjAX0743]
WOS研究方向Science & Technology - Other Topics ; Energy & Fuels
项目资助者National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Chongqing Research Program of Basic Research and Frontier Technology
WOS类目Green & Sustainable Science & Technology ; Energy & Fuels
WOS记录号WOS:000674455900003
出版者PERGAMON-ELSEVIER SCIENCE LTD
引用统计
被引频次:26[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.giec.ac.cn/handle/344007/33506
专题中国科学院广州能源研究所
通讯作者Peng, Xuya; Sun, Yongming
作者单位1.Chongqing Univ, Minist Educ, Key Lab Three Gorges Reservoir Reg Ecoenvironm, Chongqing 400045, Peoples R China
2.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Peoples R China
3.CAS Key Lab Renewable Energy, Guangzhou 510640, Peoples R China
4.Guangdong Prov Key Lab New & Renewable Energy Res, Guangzhou 510640, Peoples R China
第一作者单位中国科学院广州能源研究所
推荐引用方式
GB/T 7714
Wu, Di,Li, Lei,Peng, Yun,et al. State indicators of anaerobic digestion: A critical review on process monitoring and diagnosis[J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS,2021,148:15.
APA Wu, Di.,Li, Lei.,Peng, Yun.,Yang, Pingjin.,Peng, Xuya.,...&Wang, Xiaoming.(2021).State indicators of anaerobic digestion: A critical review on process monitoring and diagnosis.RENEWABLE & SUSTAINABLE ENERGY REVIEWS,148,15.
MLA Wu, Di,et al."State indicators of anaerobic digestion: A critical review on process monitoring and diagnosis".RENEWABLE & SUSTAINABLE ENERGY REVIEWS 148(2021):15.
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