Sensitivity Analysis and Anaerobic Digestion Modeling: A Scoping Review

Abstract

A growing awareness of global climate change has led to an increased interest in investigating renewable energy sources, such as the anaerobic digestion of biomass. This process utilizes a wide range of microbial communities to degrade biodegradable material in feedstock through a complex series of biochemical interactions. Anaerobic digestion exhibits nonlinear dynamics due to the complex and interacting biochemical processes involved. Due to its dynamic and nonlinear behavior, uncertain feedstock quality, and sensitivity to the process’s environmental conditions, anaerobic digestion is highly susceptible to instabilities. Therefore, in order to model and operate a biogas production unit effectively, it is necessary to understand which parameters are most influential on the model outputs. This also reduces the amount of estimation required. Through a scoping review, the present study analyzes the studies on the application of sensitivity analysis in anaerobic digestion modeling. Both local and global sensitivity analysis approaches were carried out using different mathematical models. The results indicate that anaerobic digestion model no.1 (ADM1) was the most commonly used model for analyzing sensitivity. Both local and global sensitivity analyses are widely employed to investigate the influence of key model parameters such as kinetic, stoichiometric, and mass transfer parameters on model outputs such as biogas production, methane concentration, pH, or economic viability of the plant.

Anaerobic Digestion Process Modeling Under Uncertainty: A Narrative Review

“…Narrative or traditional review, scoping review (i.e. [14,16,22,53]), systematic review, critical review, rapid review, and umbrella review are among com-monly used methods. To address specific research questions, a narrative literature review was conducted.…”

“…Conversely, a global SA is used to investigate the effects of large variations in model parameters on model outputs [21]. The critical aspect of a complex model (such as ADM1) with several input parameters and output parameters is identifying the most influential input parameter or variable on the model's outputs [22]. There is a significant fluctuation in the results when specific assumptions are changed when sensitivity is high; these assumptions must be extremely well established.…”

Modeling and optimization of controlled landfill gas performance using LandGEM

“…Biogas, being the product of the methanation reaction, contains high levels of toxic pollutants, mainly methane (CH 4 ), carbon dioxide (CO 2 ), and hydrogen sulfide (H 2 S), which cause respiratory illnesses and contribute to climate change by their nature as greenhouse gases if they are exposed to ambient air [5]. This is why technical landfill centers accompanied by treatment and energy recovery units have the double advantage of simultaneously being a green and clean renewable energy production sector, via biogas like a source of green energy and alternative O. DRISSI EL BOUZAIDI AND K. OUAZZANI 753 to replace fossil fuel as natural gas, coal and oil, and a solution to mitigate the risks of global warming linked to greenhouse gas emissions [6], whose the major preoccupation of lot of countries to adopt a new approaches to develop a proper energy, and to improve practices for emission reduction [7].…”

Design and Techno-economic Analysis of Ammonia Production from Human Waste via Anaerobic Digestion

“…For example, HW can be utilized to produce biofuels like methane, bioethanol, biodiesel through various processes, including pyrolysis, anaerobic digestion (AD), hydrothermal liquefaction and others (Adjama et al, 2022). Anaerobic digestion (AD) is one of the unique and well-organized worldwide technology used to treat organic waste streams to generate a renewable energy in the form of biogas (Astals et al, 2015 andBarahmand, 2022). AD is an integrated biochemical process that is operated in four major steps: hydrolysis, acidogenesis, acetogenesis and methanogenesis (Singh et al, 2012) and it is classified into AD with inoculum and AD without inoculum (Abdulkarim et al, 2019).…”