Performance enhancement of adsorption cooling and desalination systems by fluidized bed integration: Experimental and big data optimization
Jarosław Krzywański, Karol Sztekler, Lukasz Lasek, Wojciech Kalawa, Karolina Grabowska, Marcin Sosnowski, A. Zylka, Dorian Skrobek, W. Nowak, Bashar Shboul
Abstract
Adsorption cycles, as one of the most effective methods of chilled and freshwater production, offer a significant advantage over other systems that use low-grade heat, particularly waste heat, at near-ambient temperatures. However, poor heat and mass transfer conditions in conventional fixed adsorption beds decrease main energy efficiency factors and performance indicators, mainly specific cooling capacity (SCP) and specific daily water production (SDWP). Therefore, this paper addresses a critical gap in the literature regarding integrating fluidized bed technology (FBT) in adsorption cooling and desalination systems . An innovative fluidized three-bed adsorption chiller (3-bed FAC) constitutes a novel cooling and water production design, allowing more efficient conversion and management of low-grade thermal energy sources from multigeneration . Moreover, the paper introduces an artificial intelligence approach for optimizing the 3-bed FAC. Based on big data , this advanced optimization procedure selects the best operating strategy for the multi-bed adsorption cooling and desalination system. The results of the developed model agree well with the experimental data. Integrating fluidized bed technology in the adsorption chiller significantly improved the system's performance . Under fluidized conditions, the SCP reached 104 W kg⁻ 1 , more than doubling the performance of traditional fixed-bed systems (48.495 W kg⁻ 1 ).