Abstract
Treatment of POME has become more challenging with stringent effluent discharge standards and difficulty of current treatment processes to meet the standards due to the complex nature of POME. Utilization of high-rate anaerobic reactor operated under thermophilic condition is proposed for primary POME treatment due to low energy requirements and biogas production that could generate revenue to the industry. However, successful implementation of such system is dependent on the availability of a well-defined model. Hence, fuzzy inference method was employed to model the thermophilic anaerobic digestion of POME. Fuzzy Inference Model (FIM) which utilizes historical data of the reactor condition and digestion performance showed worthy estimation, with an average error and standard deviation of 2.81% and 2.10%; 10.35% and 8.67%; 12.22% and 10.40% for pH, COD and TSS correspondingly.
Original language | English |
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Title of host publication | 2017 4th International Conference on Industrial Engineering and Applications, ICIEA 2017 |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 265-269 |
Number of pages | 5 |
ISBN (Electronic) | 9781509067749 |
DOIs | |
Publication status | Published - 2017 |
Event | International Conference on Industrial Engineering and Applications 2017 - Nagoya, Japan Duration: 21 Apr 2017 → 23 Apr 2017 Conference number: 4th https://ieeexplore.ieee.org/xpl/conhome/7934496/proceeding |
Publication series
Name | 2017 4th International Conference on Industrial Engineering and Applications, ICIEA 2017 |
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Conference
Conference | International Conference on Industrial Engineering and Applications 2017 |
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Abbreviated title | ICIEA 2017 |
Country/Territory | Japan |
City | Nagoya |
Period | 21/04/17 → 23/04/17 |
Internet address |
Keywords
- fuzzy logic
- palm oil mill effluent (POME)
- thermophilic anaerobic digestion
- upflow anaerobic sludge blanket-hollow centred packed bed (UASB-HCPB)