Surrogate Models Applied to Optimized Organic Rankine Cycles
Global optimization of industrial plant configurations using organic Rankine cycles (ORC) to recover heat is becoming attractive nowadays. This kind of optimization requires structural and parametric decisions to be made; the number of variables is usually high, and some of them generate disruptive...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/24/8456 |
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| author | Icaro Figueiredo Vilasboas Victor Gabriel Sousa Fagundes dos Santos Armando Sá Ribeiro Julio Augusto Mendes da Silva |
| author_facet | Icaro Figueiredo Vilasboas Victor Gabriel Sousa Fagundes dos Santos Armando Sá Ribeiro Julio Augusto Mendes da Silva |
| author_sort | Icaro Figueiredo Vilasboas |
| collection | DOAJ |
| description | Global optimization of industrial plant configurations using organic Rankine cycles (ORC) to recover heat is becoming attractive nowadays. This kind of optimization requires structural and parametric decisions to be made; the number of variables is usually high, and some of them generate disruptive responses. Surrogate models can be developed to replace the main components of the complex models reducing the computational requirements. This paper aims to create, evaluate, and compare surrogates built to replace a complex thermodynamic-economic code used to indicate the specific cost (US$/kWe) and efficiency of optimized ORCs. The ORCs are optimized under different heat sources conditions in respect to their operational state, configuration, working fluid and thermal fluid, aiming at a minimal specific cost. The costs of 1449.05, 1045.24, and 638.80 US$/kWe and energy efficiencies of 11.1%, 10.9%, and 10.4% were found for 100, 1000, and 50,000 kWt of heat transfer rate at average temperature of 345 °C. The R-square varied from 0.96 to 0.99 while the number of results with error lower than 5% varied from 88% to 75% depending on the surrogate model (random forest or polynomial regression) and output (specific cost or efficiency). The computational time was reduced in more than 99.9% for all surrogates indicated. |
| first_indexed | 2024-03-10T04:13:19Z |
| format | Article |
| id | doaj.art-b079be98a1484796bfdd54e36391942c |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T04:13:19Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-b079be98a1484796bfdd54e36391942c2023-11-23T08:07:33ZengMDPI AGEnergies1996-10732021-12-011424845610.3390/en14248456Surrogate Models Applied to Optimized Organic Rankine CyclesIcaro Figueiredo Vilasboas0Victor Gabriel Sousa Fagundes dos Santos1Armando Sá Ribeiro2Julio Augusto Mendes da Silva3Industrial Engineering Program (PEI), Federal University of Bahia, Salvador 40210-630, BrazilDepartment of Electrical and Computer Engineering (DEEC), Federal University of Bahia, Salvador 40210-630, BrazilDepartment of Construction and Structures (DCE), Federal University of Bahia, Salvador 40210-630, BrazilDepartment of Mechanical Engineering (DEM), Federal University of Bahia, Salvador 40210-630, BrazilGlobal optimization of industrial plant configurations using organic Rankine cycles (ORC) to recover heat is becoming attractive nowadays. This kind of optimization requires structural and parametric decisions to be made; the number of variables is usually high, and some of them generate disruptive responses. Surrogate models can be developed to replace the main components of the complex models reducing the computational requirements. This paper aims to create, evaluate, and compare surrogates built to replace a complex thermodynamic-economic code used to indicate the specific cost (US$/kWe) and efficiency of optimized ORCs. The ORCs are optimized under different heat sources conditions in respect to their operational state, configuration, working fluid and thermal fluid, aiming at a minimal specific cost. The costs of 1449.05, 1045.24, and 638.80 US$/kWe and energy efficiencies of 11.1%, 10.9%, and 10.4% were found for 100, 1000, and 50,000 kWt of heat transfer rate at average temperature of 345 °C. The R-square varied from 0.96 to 0.99 while the number of results with error lower than 5% varied from 88% to 75% depending on the surrogate model (random forest or polynomial regression) and output (specific cost or efficiency). The computational time was reduced in more than 99.9% for all surrogates indicated.https://www.mdpi.com/1996-1073/14/24/8456organic Rankine cyclethermodynamiceconomicoptimizationsurrogate modelmetamodel |
| spellingShingle | Icaro Figueiredo Vilasboas Victor Gabriel Sousa Fagundes dos Santos Armando Sá Ribeiro Julio Augusto Mendes da Silva Surrogate Models Applied to Optimized Organic Rankine Cycles Energies organic Rankine cycle thermodynamic economic optimization surrogate model metamodel |
| title | Surrogate Models Applied to Optimized Organic Rankine Cycles |
| title_full | Surrogate Models Applied to Optimized Organic Rankine Cycles |
| title_fullStr | Surrogate Models Applied to Optimized Organic Rankine Cycles |
| title_full_unstemmed | Surrogate Models Applied to Optimized Organic Rankine Cycles |
| title_short | Surrogate Models Applied to Optimized Organic Rankine Cycles |
| title_sort | surrogate models applied to optimized organic rankine cycles |
| topic | organic Rankine cycle thermodynamic economic optimization surrogate model metamodel |
| url | https://www.mdpi.com/1996-1073/14/24/8456 |
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