Optimization Of Wastewater Treatment Through Multi-Agent Simulation Using Sugarcane Bagasse Cellulose

Miranto Rivoarivony Randriamaherison, Marie Hanitriniaina Ratsimba, Falihery Rajoelison, Damien Ali Hamada Fakra, Rijalalaina Rakotosaona, Mino Patricia Randrianarison, Mirana Razafimahefa

Abstract


The uncontrolled release of untreated domestic wastewater continues to pose a significant public health and environmental challenge in Madagascar. Among the polluants, Anionic surfactants from household detergents are particulary concerning due their persistence and poor removal by conventioal low-cost treatment methods. Sulfo-acetylated cellulose, derived from sugarcane bagasse, has emerged as a promising and locally available biosorbent for addressing this issue. Laboratory experiments demonstrate a maximum adsorption capacity of 154.18 mg/g for anionic surfactants. Moreover, for detergent concentrations up to 0.3 % , the treated water meets key World Health Organization (WHO) physico-chemical standards, including pH, conductivity, Total dissolved solids, salinity, and oxydation-reduction potential. This study presents an agent-based model (ABM) developed using GAMA (v.1.9.3), designed to scale laboratory findings toward pratical, compact treatment units. The model evaluates the influence of adsorbent bed thickness (10, 20, 30 mm) and initial detergent concentrations ranging from 0.1 % to 0.6 %, while predicting the temporal evolution of treated water quality. After calibration with experimental data, the simulation successfully reproduces key trends : increased adsorption capacity (qe, mg/g) with greater bed thickness and pollutant load, rapid breakthrough beyond 0.3 % detergent concentration, and sustained WHO-compliant water quality for beds of a least 20 mm thickness.

Keywords


Agent-based modelling; GAMA; Sulfo-acetylated cellulose; Sugarcane bagasse; Adsorption; Domestic wastewater treatment; Process optimization.

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DOI: http://dx.doi.org/10.52155/ijpsat.v55.2.7852

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