A pinch-based method for defining pressure manipulation routes in work and heat exchange networks
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http://hdl.handle.net/10045/108127
Título: | A pinch-based method for defining pressure manipulation routes in work and heat exchange networks |
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Autor/es: | Pavão, Leandro V. | Caballero, José A. | Ravagnani, Mauro A.S.S. | Costa, Caliane B.B. |
Grupo/s de investigación o GITE: | Computer Optimization of Chemical Engineering Processes and Technologies (CONCEPT) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Ingeniería Química | Universidad de Alicante. Instituto Universitario de Ingeniería de los Procesos Químicos |
Palabras clave: | Optimization | Work and heat integration | Work and heat exchange networks | Pinch analysis | Meta-heuristics | Process synthesis |
Área/s de conocimiento: | Ingeniería Química |
Fecha de publicación: | oct-2020 |
Editor: | Elsevier |
Cita bibliográfica: | Renewable and Sustainable Energy Reviews. 2020, 131: 109989. doi:10.1016/j.rser.2020.109989 |
Resumen: | Aiming for more energetically efficient and sustainable solutions, academic attention to work and heat integration (WHI) has grown in the last decade. Simultaneous models for work and heat exchanger network (WHEN) synthesis often derive from heat integration (HI) frameworks. However, it can be noted that simultaneous optimization models for WHI are considerably more complex to solve than in the HI case. The design of efficient pressure manipulation routes (i.e., allocation and sizing of compression and expansion machinery) in process streams prior to heat exchange match allocation can make the optimization procedure more efficient. This work proposes a systematic procedure based on a model that employs Pinch Analysis concepts for defining these routes based on capital and operating cost targets. The solution approach is a hybrid meta-heuristic method based on Simulated Annealing (SA) and Particle Swarm Optimization (PSO). The obtained routes are then converted into a HI problem by fixing pressure manipulation unit sizes. The detailed HI solution is finally transferred into a WHI optimization model as initial design. In the two tackled examples, the total annual costs (TAC) predicted by the Pinch-based model differed by 0.5% and 1.2% from the final optimized WHEN obtained in the detailed WHI framework. |
Patrocinador/es: | The authors gratefully acknowledge the financial support from the Coordination for the Improvement of Higher Education Personnel – Processes 88887.360812/2019–00 and 88881.171419/2018–01 – CAPES (Brazil) and the National Council for Scientific and Technological Development – Processes 305055/2017–8, 428650/2018–0 and 311807/2018–6 – CNPq (Brazil). |
URI: | http://hdl.handle.net/10045/108127 |
ISSN: | 1364-0321 (Print) | 1879-0690 (Online) |
DOI: | 10.1016/j.rser.2020.109989 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2020 Elsevier Ltd. |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1016/j.rser.2020.109989 |
Aparece en las colecciones: | INV - CONCEPT - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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Pavao_etal_2020_RenewSustainEnergyRev_final.pdf | Versión final (acceso restringido) | 13,78 MB | Adobe PDF | Abrir Solicitar una copia |
Pavao_etal_2020_RenewSustainEnergyRev_preprint.pdf | Preprint (acceso abierto) | 2,59 MB | Adobe PDF | Abrir Vista previa |
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