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.

Author
Dyana Aziz Bayz

DOI
https://doi.org/10.1016/j.applthermaleng.2025.12861

ISSN
1873-5606

Publish Date: 2-Oct-2025