Cleaning Schedule Optimization of Heat Exchangers with Fouling on Tube and Shell Sides: A Metaheuristic Approach
Pre-heat trains (PHTs) significantly reduce refinery fuel consumption and carbon emissions. However, these benefits are diminished by fouling in heat exchangers (HEXs). Current methods for optimizing cleaning schedules often report high computation times due to the transient nature of the fouling pr...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/1/71 |
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| author | João P. V. de Cesaro Mauro A. S. S. Ravagnani Fernando D. Mele Caliane B. B. Costa |
| author_facet | João P. V. de Cesaro Mauro A. S. S. Ravagnani Fernando D. Mele Caliane B. B. Costa |
| author_sort | João P. V. de Cesaro |
| collection | DOAJ |
| description | Pre-heat trains (PHTs) significantly reduce refinery fuel consumption and carbon emissions. However, these benefits are diminished by fouling in heat exchangers (HEXs). Current methods for optimizing cleaning schedules often report high computation times due to the transient nature of the fouling process and do not consider shell-side fouling, which can be significant for some oil fractions. This paper addresses these issues by adding shell-side fouling to the model and by transforming cleaning time variables into integers, reducing the problem of optimizing cleaning schedules to an integer nonlinear programming (INLP) problem. The reformulated problem is solved using integer particle swarm optimization (PSO) coupled with a simple search strategy, where the number of cleaning actions is preset and their timing is optimized. The adopted approach achieved up to 84% lower computation times compared to previous ones. Additionally, the relationship between cleaning actions and PHT performance is nonlinear, with diminishing returns from additional cleaning, and optimal cleaning schedules are often asymmetric for different HEXs within the same PHT. The proposed approach effectively reduces operating costs and provides a framework for future optimization enhancements. |
| format | Article |
| id | doaj-art-d2089835e9dd467e9dc4f3d9a8787d11 |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-d2089835e9dd467e9dc4f3d9a8787d112025-01-10T13:17:00ZengMDPI AGEnergies1996-10732024-12-011817110.3390/en18010071Cleaning Schedule Optimization of Heat Exchangers with Fouling on Tube and Shell Sides: A Metaheuristic ApproachJoão P. V. de Cesaro0Mauro A. S. S. Ravagnani1Fernando D. Mele2Caliane B. B. Costa3Chemical Engineering Graduate Program, State University of Maringá, Avenida Colombo 5790, Maringá 87020900, BrazilChemical Engineering Graduate Program, State University of Maringá, Avenida Colombo 5790, Maringá 87020900, BrazilDepartment of Process Engineering and Industrial Management, Universidad Nacional de Tucumán, Av. Independencia 1800, San Miguel de Tucumán T4002LBR, ArgentinaChemical Engineering Graduate Program, State University of Maringá, Avenida Colombo 5790, Maringá 87020900, BrazilPre-heat trains (PHTs) significantly reduce refinery fuel consumption and carbon emissions. However, these benefits are diminished by fouling in heat exchangers (HEXs). Current methods for optimizing cleaning schedules often report high computation times due to the transient nature of the fouling process and do not consider shell-side fouling, which can be significant for some oil fractions. This paper addresses these issues by adding shell-side fouling to the model and by transforming cleaning time variables into integers, reducing the problem of optimizing cleaning schedules to an integer nonlinear programming (INLP) problem. The reformulated problem is solved using integer particle swarm optimization (PSO) coupled with a simple search strategy, where the number of cleaning actions is preset and their timing is optimized. The adopted approach achieved up to 84% lower computation times compared to previous ones. Additionally, the relationship between cleaning actions and PHT performance is nonlinear, with diminishing returns from additional cleaning, and optimal cleaning schedules are often asymmetric for different HEXs within the same PHT. The proposed approach effectively reduces operating costs and provides a framework for future optimization enhancements.https://www.mdpi.com/1996-1073/18/1/71heat exchangerparticle swarm optimizationfoulingagingscheduling |
| spellingShingle | João P. V. de Cesaro Mauro A. S. S. Ravagnani Fernando D. Mele Caliane B. B. Costa Cleaning Schedule Optimization of Heat Exchangers with Fouling on Tube and Shell Sides: A Metaheuristic Approach Energies heat exchanger particle swarm optimization fouling aging scheduling |
| title | Cleaning Schedule Optimization of Heat Exchangers with Fouling on Tube and Shell Sides: A Metaheuristic Approach |
| title_full | Cleaning Schedule Optimization of Heat Exchangers with Fouling on Tube and Shell Sides: A Metaheuristic Approach |
| title_fullStr | Cleaning Schedule Optimization of Heat Exchangers with Fouling on Tube and Shell Sides: A Metaheuristic Approach |
| title_full_unstemmed | Cleaning Schedule Optimization of Heat Exchangers with Fouling on Tube and Shell Sides: A Metaheuristic Approach |
| title_short | Cleaning Schedule Optimization of Heat Exchangers with Fouling on Tube and Shell Sides: A Metaheuristic Approach |
| title_sort | cleaning schedule optimization of heat exchangers with fouling on tube and shell sides a metaheuristic approach |
| topic | heat exchanger particle swarm optimization fouling aging scheduling |
| url | https://www.mdpi.com/1996-1073/18/1/71 |
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