Application of principal component analysis to the anaerobic digestion process
- Title
- Application of principal component analysis to the anaerobic digestion process
- Author
- 김문일
- Keywords
- Anaerobic digestion; Biogas; Food wastewater; Principal component analysis; Statistics
- Issue Date
- 2021-10
- Publisher
- 대한토목학회
- Citation
- 대한토목학회 학술대회. 2021-10 2021(10):263-264
- Abstract
- The anaerobic digestion of food wastewater was performed by operating a pilot-scale thermophilic (55 o
C)
two-stage continuous stirred tank reactor (CSTR). Through the reactor operating experiments, the variables of
the anaerobic digestion such as pH, nitrogen, solids, organics, and biogas were organized into a time-indexed
dataset. Principal component analysis (PCA) was applied to extract relevant information from the experimental
dataset. Its purpose was to investigate the group of variables that mostly contribute to the early detection of
operating problems. In addition, the adaptation of PCA for the dataset could be improved by introducing data
smoothing and outlier detection.
- URI
- https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11054265https://repository.hanyang.ac.kr/handle/20.500.11754/172365
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > CIVIL AND ENVIRONMENTAL ENGINEERING(건설환경공학과) > Articles
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