###### Abstract
[PERSON] et al. (2000) underscored the role of droplet distribution in determining the efficiency of absorption processes, emphasizing the relationship between droplet characteristics and mass transfer in spray-tower loop absorbers [14]. [PERSON] et al. (2022) furthered this understanding through a numerical study, revealing how parameters such as injection velocity and nozzle radius affect droplet distribution in turbulent jet flow [15]. Meanwhile, [PERSON] et al. (2010) combined experimental and computational approaches to investigate droplet dynamics at varying injection angles, showcasing the importance of angles in droplet formation and behavior [16]. [PERSON]'s work in 2015 provided an in-depth analysis of spray absorption, offering rigorous measurements of droplet sizes across multiple spray-plume locations while also correlating the influence of solvents, such as MEA, on droplet characteristics [17,18]. Furthermore, [PERSON] et al. (2018) introduced a novel spray-tower design to efficiently capture carbon dioxide (CO\({}_{2}\)) emissions using a uniform spray of mono-sized absorbent droplets. The research explored a potential solution for capturing CO\({}_{2}\), contributing to the advancement of carbon capture technologies [19]. [PERSON] et al. (2011) focused on droplet distributions in reactor containment nozzles [20]. [PERSON] et al. (2004) explored the use of ultrasound for determining droplet and particle size distributions, focusing on the propagation speed of ultrasound. Their research, which showcased the precision of ultrasound in discerning droplet sizes, emphasized the potential of further validation using digital camera techniques [21]. Meanwhile, in the context of shear-driven atomization, [PERSON] et al. (2017) employed ultra-small-angle X-ray scattering (USAXS), presenting significant findings, including the observed absence of nanoscale droplets, a factor that challenged prevailing models [22]. [PERSON] et al. (2014) incorporated ultrasound in a novel manner, producing monodisperse droplets through ultrasonically controlled micro-jet breakup, thus adding to the scope of methodologies available for precise droplet measurement [23]. The droplet sizes and velocities in air-atomized sprays were examined by [PERSON] et al. (2019) using CFD, with a focus on the impact of nozzle flow rates and sprayer distance on droplet distribution, which they validated using the Malvern Mastersizer 2000 ([PERSON] et al., 2019). [PERSON] et al. (2022) studied the interaction between droplets and moving leaves, which is essential for efficient agricultural spraying ([PERSON] et al., 2019). Lastly, [PERSON] et al. (2022) explored droplet size distributions in stirred vessels, leveraging a convolutional neural network for precise measurements and uncovering how operational parameters influence droplet size ([PERSON] et al., 2019). Collectively, these studies emphasize the significance of employing advanced techniques for measuring droplet diameters and distributions and conducting simulations to gain a deeper comprehension of droplet dynamics. In general, the combination of high-speed cameras and CFD simulations provides a powerful tool for understanding and optimizing gas-liquid systems. With the availability of high-speed cameras with higher frame rates and higher resolutions, the measurement of droplet size and distribution will become even more accurate and effective. Many existing studies in the field of CFD that focus on modeling droplet size and distribution primarily pertain to scenarios involving spray nozzles or jet flows. In these studies, the Volume of Fluid (VOF) CFD model has often been employed, despite its computational expense in comparison to the more efficient Eulerian model ([PERSON] et al., 2019). This method is not suitable for simulating a droplet absorber with multiple nozzles due to its high computational cost.