Two-bed adsorption refrigeration cycle integration into a hybrid biomass-gasification multigeneration system for sustainable energy production: comprehensive 4E analysis, and machine learning optimization

Abstract
This paper presents an integrated biomass-driven multigeneration energy system incorporating advanced thermodynamic cycles and a two-bed adsorption refrigeration cycle (ARC) for efficient cooling, heating, power generation, and hydrogen production. The key novelty of this study is the first-time integration of a dual-bed ARC into a biomass-driven system for simultaneous multi-output generation, complemented by a novel computational framework combining artificial neural networks and genetic algorithms for efficient multi-objective optimization. A detailed analysis of the system’s performance was conducted, focusing on exergy destruction, cost rates, and various system outputs. Key subsystems, including the gasifier, PEME, and ARC, were evaluated for their exergy efficiency and economic viability. The gasifier subsystem exhibited the highest exergy destruction, amounting to 4322.24 kW, with a cost rate of 20.47 $/h. The power cycle, responsible for significant energy conversion, incurred the highest cost of 260.49 $/h with an exergy destruction of 18,448.60 kW.

Author
Dyana Aziz Bayz

DOI
https://doi.org/10.1016/j.applthermaleng.2025.128615

ISSN
1359-4311

Publish Date: 8-Oct-2025