NaOH-Activated Oil Palm Empty Fruit Bunch Biochar Adsorption for Integrated Anaerobic–Aerobic Treatment of Palm Oil Mill Effluent
Date
2026Author
PRASETYANINGTYAS, AZMYA
Kurniawan, Allen
Astuti, Ariani Dwi
Metadata
Show full item recordAbstract
Palm Oil Mill Effluent (POME) contains high concentrations of oil and grease
(O&G) and organic matter that require effective treatment. This study evaluated
NaOH-activated oil palm empty fruit bunch (OPEFB) biochar integrated with an
Upflow Anaerobic Sludge Blanket (UASB) reactor and Rotating Biological
Contactor (RBC), and developed a simplified first-order adsorption–Anaerobic
Digestion Model No. 1 (ADM1) framework to predict soluble chemical oxygen
demand (sCOD) removal. Biochar activated with 1 M NaOH achieved the highest
O&G removal efficiency (75.93%). The integrated system removed over 97% of
O&G, while the highest sCOD removal efficiency (80.91 ± 9.58%) was obtained at
a hydraulic retention time of 3 days. The model yielded calibration and validation
R² values of 0.9463, 0.8773, and 0.5663. Overall, the integrated adsorption–UASB
RBC system effectively enhanced POME treatment and provided a practical
framework for predicting sCOD removal. Limbah cair pabrik kelapa sawit (POME) mengandung minyak dan lemak
(O&G) serta bahan organik yang tinggi sehingga memerlukan pengolahan.
Penelitian ini mengevaluasi biochar tandan kosong kelapa sawit (TKKS) teraktivasi
NaOH yang diintegrasikan dengan reaktor Upflow Anaerobic Sludge Blanket
(UASB) dan Rotating Biological Contactor (RBC), serta mengembangkan model
adsorpsi orde satu–Anaerobic Digestion Model No. 1 (ADM1) sederhana untuk
memprediksi penyisihan soluble chemical oxygen demand (sCOD). Biochar
teraktivasi NaOH 1 M menghasilkan penyisihan O&G tertinggi sebesar 75,93%.
Sistem terintegrasi menyisihkan O&G lebih dari 97%, sedangkan penyisihan sCOD
tertinggi mencapai 80,91 ± 9,58% pada HRT 3 hari. Model menghasilkan nilai R²
kalibrasi dan validasi berturut-turut sebesar 0,9463; 0,8773; dan 0,5663. Integrasi
adsorpsi biochar–UASB–RBC efektif meningkatkan pengolahan POME sekaligus
menyediakan kerangka pemodelan untuk memprediksi penyisihan sCOD.

