Mathematical Model-Based Optimization of Trace Metal Dosage in Anaerobic Batch Bioreactors

Bioengineering, Journal Year: 2025, Volume and Issue: 12(2), P. 117 - 117

Published: Jan. 26, 2025

Anaerobic digestion (AD) is a promising and yet complex waste-to-energy technology. To optimize such process, precise modeling essential. Developing complex, mechanistically inspired AD models can result in an overwhelming number of parameters that require calibration. This study presents novel approach considers the role trace metals (Ca, K, Mg, Na, Co, Cr, Cu, Fe, Ni, Pb, Zn) modeling, numerical simulation, optimization process batch bioreactor. In this context, BioModel enhanced by incorporating influence metal activities on chemical, biochemical, physicochemical processes. Trace metal-related are also included calibration all model parameters. The model’s reliability rigorously validated comparing simulation results with experimental data. reveals perturbations 5% parameter values significantly increase discrepancy between simulated up to threefold. Additionally, highlights how additives enhance both quantity quality biogas production. optimal concentrations increased CH4 production 5.4% 13.5%, respectively, while H2, H2S, NH3 decreased 28.2%, 43.6%, 42.5%, respectively.

Language: Английский

Minimizing Carbon Dioxide (CO2) Emissions of POME Treatment System Using MILP Model

Processes, Journal Year: 2025, Volume and Issue: 13(2), P. 583 - 583

Published: Feb. 19, 2025

This paper presents a strategic planning model aimed at optimizing the economic and environmental impacts of palm oil mill effluent (POME) treatment systems. The determines optimal selection POME systems to minimize impact, specifically focusing on three systems: an anaerobic digester tank system (ADT), covered lagoon (CL) with biogas capture, open pond (OP). incorporates constraints related fresh fruit bunch (FFB) production, generation, biological oxygen demand (BOD), chemical (COD), carbon dioxide (CO2) emissions. optimization framework, formulated as mixed-integer linear programming (MILP) model, is solved using GAMS 40.1.0 software. Integer decision variables are used represent choice that minimizes impact. study considers ADT, CL, OP systems, results indicating ADT most effective in reducing BOD, COD, CO2-equivalent emissions, thereby highlighting its benefits. selects system, which exhibits lowest CO2e Specifically, COD registered 85% reduction, from 84,830 mg/L 12,725 mg/L. BOD level was reduced by 88%, resulting 41,208 4945 minimum emissions could be achieved about 3173 t per annum. provides valuable tool for governmental agencies policymakers guide private sector developing environmentally sustainable strategies.

Language: Английский

Wastewater Management Challenges and Solutions in Tanzania: A Case Study of Dar es Salaam City

European journal of ecology, biology and agriculture., Journal Year: 2025, Volume and Issue: 2(2), P. 68 - 82

Published: March 1, 2025

This study investigates the wastewater management challenges and solutions in Dar es Salaam, Tanzania, amidst rapid urbanization population growth. largest city is experiencing severe difficulties due to inadequate infrastructure, insufficient financial resources, ineffective governance, lack of proper planning. As has surged from 3.87 million 2010 an estimated 8.56 by 2025, volume generated overwhelmed existing treatment facilities, resulting untreated sewage being discharged into local water bodies. situation poses significant public health risks contributes environmental degradation. The research highlights need for improved practices explores various innovative technologies, such as Anaerobic Digestion (AD), that can address these pressing challenges. It also underscores importance community engagement, robust regulatory frameworks, sustainable funding mechanisms enhance effectiveness strategies. concludes a holistic approach essential realizing improvements, thereby safeguarding securing resources rapidly growing Salaam.

Language: Английский