Metaheuristic Framework for Material Screening and Operating Optimization of Adsorption-Based Heat Pumps
Beatriz C Silva1,2, Carine Menezes Rebello3, Alírio E Rodrigues1,2
1LSRE-LCM-Laboratory of Separation and Reaction Engineering-Laboratory of Catalysis and Materials, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, Porto 4200-465, Portugal.
ACS Omega
|June 12, 2023
Summary
This study introduces a new particle swarm optimization (PSO) method for selecting materials for adsorption heat pumps. It efficiently screens adsorbents across wide temperature ranges to optimize performance and reduce costs.
Area of Science:
- Thermodynamics
- Materials Science
- Chemical Engineering
Background:
- Current material screening for adsorption heat pumps is limited by fixed temperature evaluations.
- Existing methods offer insufficient and impractical assessments of adsorbent performance.
Purpose of the Study:
- To develop a novel strategy for simultaneous optimization and material screening in adsorption heat pump design.
- To implement a meta-heuristic approach, particle swarm optimization (PSO), for evaluating adsorbents.
Main Methods:
- Utilized particle swarm optimization (PSO) to evaluate variable and broad operation temperature intervals.
- Defined objective functions for PSO based on maximum performance and minimum heat supply cost.
- Applied both single-objective and multi-objective optimization approaches.
Main Results:
- Identified optimal adsorbents and temperature sets for adsorption heat pump operation.
- Generated feasible operating regions using the Fisher-Snedecor test for practical application.
- Enabled fast and intuitive evaluation of multiple design and operation variables.
Conclusions:
- The proposed PSO framework offers an effective and practical method for material screening and design optimization of adsorption heat pumps.
- The approach facilitates the development of practical design and control tools by analyzing optimal and near-optimal conditions.
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