Metaheuristic Framework for Material Screening and Operating Optimization of Adsorption-Based Heat Pumps

• Tipo: Artigo em Revista Científica Internacional
• Data: 2023

Autores

Silva, BC (Autor) Outra; Rebello, CM (Autor) Outra; Rodrigues, AE (Autor) Outra; Ana M. Ribeiro (Autor) FEUP; Alexandre Ferreira (Autor) FEUP; Nogueira, IBR (Autor) Outra

Revista

Título: ACS Omega

Vol. 8

Editora: American Chemical Society

Indexação

ISI Web of Knowledge - 0 Citações

Scopus

Outras Informações

ID Authenticus: P-00Y-M6V

DOI: 10.1021/acsomega.3c01797

Abstract (EN): The current methods applied to material screening foradsorption-basedheat pumps are based on a fixed set of temperatures or their independentvariation, providing a limited, insufficient, and unpractical evaluationof different adsorbents. This work proposes a novel strategy for thesimultaneous optimization and material screening in the design ofadsorption heat pumps by implementing a meta-heuristic approach, particleswarm optimization (PSO). The proposed framework can effectively evaluatevariable and broad operation temperature intervals to search for viablezones of operation for multiple adsorbents at once. The criteria forselecting the adequate material were the maximum performance and theminimum heat supply cost, which were considered the objective functionsof the PSO algorithm. First, the performance was assessed individually,followed by a single-objective approximation of the multi-objectiveproblem. Next, a multi-objective approach was also adopted. With theresults generated during the optimization, it was possible to findwhich adsorbents and temperature sets were the most suitable accordingto the main objective of the operation. The Fisher-Snedecortest was applied to expand the results obtained during PSO applicationand a feasible operating region built around the optima, enablingthe arrangement of close-to-optima data into practical design andcontrol tools. This approach allowed for a fast and intuitive evaluationof multiple design and operation variables.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 18