Parametric Analysis and Optimisation of Efficiency of a Kalina Cycle with Turbine Staging
Abstract The ever increasing demand for energy has necessitated exploring innovative techniques for low and medium temperature energy extraction. Among them, Kalina cycle is considered efficient for extracting energy from low grade renewable sources like solar, geothermal and for waste heat recovery...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Parvathy, S. Devi [verfasserIn] Varghese, James [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Anmerkung: |
© The Institution of Engineers (India) 2021 |
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| Übergeordnetes Werk: |
Enthalten in: Journal of the Institution of Engineers (India) - [New Delhi] : Springer India, 2012, 102(2021), 6 vom: 06. Okt., Seite 1529-1539 |
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| Übergeordnetes Werk: |
volume:102 ; year:2021 ; number:6 ; day:06 ; month:10 ; pages:1529-1539 |
| Links: |
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| DOI / URN: |
10.1007/s40032-021-00771-y |
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SPR045433755 |
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| 520 | |a Abstract The ever increasing demand for energy has necessitated exploring innovative techniques for low and medium temperature energy extraction. Among them, Kalina cycle is considered efficient for extracting energy from low grade renewable sources like solar, geothermal and for waste heat recovery. In this work, we propose a Kalina cycle with turbine staging and heating between the stages. A case study is presented to illustrate the cycle. The cycle is analysed for varying pressure in the second separator and mass fraction of vapour from the first separator. The dependency of variables on separator temperature, vapour fraction at the turbine exit, net work output of the cycle, net heat input of the cycle and efficiency are analysed. Optimisation of efficiency with second separator pressure and mass fraction of vapour at the first separator as variables has been carried out using Genetic Algorithm. The optimised efficiency for the illustrative example shows an improvement of 4% compared to a simple Kalina cycle with same input parameters. | ||
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10.1007/s40032-021-00771-y doi (DE-627)SPR045433755 (SPR)s40032-021-00771-y-e DE-627 ger DE-627 rakwb eng 620 690 ASE Parvathy, S. Devi verfasserin aut Parametric Analysis and Optimisation of Efficiency of a Kalina Cycle with Turbine Staging 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Institution of Engineers (India) 2021 Abstract The ever increasing demand for energy has necessitated exploring innovative techniques for low and medium temperature energy extraction. Among them, Kalina cycle is considered efficient for extracting energy from low grade renewable sources like solar, geothermal and for waste heat recovery. In this work, we propose a Kalina cycle with turbine staging and heating between the stages. A case study is presented to illustrate the cycle. The cycle is analysed for varying pressure in the second separator and mass fraction of vapour from the first separator. The dependency of variables on separator temperature, vapour fraction at the turbine exit, net work output of the cycle, net heat input of the cycle and efficiency are analysed. Optimisation of efficiency with second separator pressure and mass fraction of vapour at the first separator as variables has been carried out using Genetic Algorithm. The optimised efficiency for the illustrative example shows an improvement of 4% compared to a simple Kalina cycle with same input parameters. Double turbine Kalina cycle (dpeaa)DE-He213 Low grade energy (dpeaa)DE-He213 Ammonia–water mixture (dpeaa)DE-He213 Optimisation (dpeaa)DE-He213 Varghese, James verfasserin aut Enthalten in Journal of the Institution of Engineers (India) [New Delhi] : Springer India, 2012 102(2021), 6 vom: 06. Okt., Seite 1529-1539 (DE-627)722236999 (DE-600)2677589-X 2250-0553 nnns volume:102 year:2021 number:6 day:06 month:10 pages:1529-1539 https://dx.doi.org/10.1007/s40032-021-00771-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 102 2021 6 06 10 1529-1539 |
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10.1007/s40032-021-00771-y doi (DE-627)SPR045433755 (SPR)s40032-021-00771-y-e DE-627 ger DE-627 rakwb eng 620 690 ASE Parvathy, S. Devi verfasserin aut Parametric Analysis and Optimisation of Efficiency of a Kalina Cycle with Turbine Staging 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Institution of Engineers (India) 2021 Abstract The ever increasing demand for energy has necessitated exploring innovative techniques for low and medium temperature energy extraction. Among them, Kalina cycle is considered efficient for extracting energy from low grade renewable sources like solar, geothermal and for waste heat recovery. In this work, we propose a Kalina cycle with turbine staging and heating between the stages. A case study is presented to illustrate the cycle. The cycle is analysed for varying pressure in the second separator and mass fraction of vapour from the first separator. The dependency of variables on separator temperature, vapour fraction at the turbine exit, net work output of the cycle, net heat input of the cycle and efficiency are analysed. Optimisation of efficiency with second separator pressure and mass fraction of vapour at the first separator as variables has been carried out using Genetic Algorithm. The optimised efficiency for the illustrative example shows an improvement of 4% compared to a simple Kalina cycle with same input parameters. Double turbine Kalina cycle (dpeaa)DE-He213 Low grade energy (dpeaa)DE-He213 Ammonia–water mixture (dpeaa)DE-He213 Optimisation (dpeaa)DE-He213 Varghese, James verfasserin aut Enthalten in Journal of the Institution of Engineers (India) [New Delhi] : Springer India, 2012 102(2021), 6 vom: 06. Okt., Seite 1529-1539 (DE-627)722236999 (DE-600)2677589-X 2250-0553 nnns volume:102 year:2021 number:6 day:06 month:10 pages:1529-1539 https://dx.doi.org/10.1007/s40032-021-00771-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 102 2021 6 06 10 1529-1539 |
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10.1007/s40032-021-00771-y doi (DE-627)SPR045433755 (SPR)s40032-021-00771-y-e DE-627 ger DE-627 rakwb eng 620 690 ASE Parvathy, S. Devi verfasserin aut Parametric Analysis and Optimisation of Efficiency of a Kalina Cycle with Turbine Staging 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Institution of Engineers (India) 2021 Abstract The ever increasing demand for energy has necessitated exploring innovative techniques for low and medium temperature energy extraction. Among them, Kalina cycle is considered efficient for extracting energy from low grade renewable sources like solar, geothermal and for waste heat recovery. In this work, we propose a Kalina cycle with turbine staging and heating between the stages. A case study is presented to illustrate the cycle. The cycle is analysed for varying pressure in the second separator and mass fraction of vapour from the first separator. The dependency of variables on separator temperature, vapour fraction at the turbine exit, net work output of the cycle, net heat input of the cycle and efficiency are analysed. Optimisation of efficiency with second separator pressure and mass fraction of vapour at the first separator as variables has been carried out using Genetic Algorithm. The optimised efficiency for the illustrative example shows an improvement of 4% compared to a simple Kalina cycle with same input parameters. Double turbine Kalina cycle (dpeaa)DE-He213 Low grade energy (dpeaa)DE-He213 Ammonia–water mixture (dpeaa)DE-He213 Optimisation (dpeaa)DE-He213 Varghese, James verfasserin aut Enthalten in Journal of the Institution of Engineers (India) [New Delhi] : Springer India, 2012 102(2021), 6 vom: 06. Okt., Seite 1529-1539 (DE-627)722236999 (DE-600)2677589-X 2250-0553 nnns volume:102 year:2021 number:6 day:06 month:10 pages:1529-1539 https://dx.doi.org/10.1007/s40032-021-00771-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 102 2021 6 06 10 1529-1539 |
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10.1007/s40032-021-00771-y doi (DE-627)SPR045433755 (SPR)s40032-021-00771-y-e DE-627 ger DE-627 rakwb eng 620 690 ASE Parvathy, S. Devi verfasserin aut Parametric Analysis and Optimisation of Efficiency of a Kalina Cycle with Turbine Staging 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Institution of Engineers (India) 2021 Abstract The ever increasing demand for energy has necessitated exploring innovative techniques for low and medium temperature energy extraction. Among them, Kalina cycle is considered efficient for extracting energy from low grade renewable sources like solar, geothermal and for waste heat recovery. In this work, we propose a Kalina cycle with turbine staging and heating between the stages. A case study is presented to illustrate the cycle. The cycle is analysed for varying pressure in the second separator and mass fraction of vapour from the first separator. The dependency of variables on separator temperature, vapour fraction at the turbine exit, net work output of the cycle, net heat input of the cycle and efficiency are analysed. Optimisation of efficiency with second separator pressure and mass fraction of vapour at the first separator as variables has been carried out using Genetic Algorithm. The optimised efficiency for the illustrative example shows an improvement of 4% compared to a simple Kalina cycle with same input parameters. Double turbine Kalina cycle (dpeaa)DE-He213 Low grade energy (dpeaa)DE-He213 Ammonia–water mixture (dpeaa)DE-He213 Optimisation (dpeaa)DE-He213 Varghese, James verfasserin aut Enthalten in Journal of the Institution of Engineers (India) [New Delhi] : Springer India, 2012 102(2021), 6 vom: 06. Okt., Seite 1529-1539 (DE-627)722236999 (DE-600)2677589-X 2250-0553 nnns volume:102 year:2021 number:6 day:06 month:10 pages:1529-1539 https://dx.doi.org/10.1007/s40032-021-00771-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 102 2021 6 06 10 1529-1539 |
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| author |
Parvathy, S. Devi |
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Parvathy, S. Devi ddc 620 misc Double turbine Kalina cycle misc Low grade energy misc Ammonia–water mixture misc Optimisation Parametric Analysis and Optimisation of Efficiency of a Kalina Cycle with Turbine Staging |
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620 690 ASE Parametric Analysis and Optimisation of Efficiency of a Kalina Cycle with Turbine Staging Double turbine Kalina cycle (dpeaa)DE-He213 Low grade energy (dpeaa)DE-He213 Ammonia–water mixture (dpeaa)DE-He213 Optimisation (dpeaa)DE-He213 |
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ddc 620 misc Double turbine Kalina cycle misc Low grade energy misc Ammonia–water mixture misc Optimisation |
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Parametric Analysis and Optimisation of Efficiency of a Kalina Cycle with Turbine Staging |
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Parametric Analysis and Optimisation of Efficiency of a Kalina Cycle with Turbine Staging |
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Parvathy, S. Devi |
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Journal of the Institution of Engineers (India) |
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Parvathy, S. Devi Varghese, James |
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parametric analysis and optimisation of efficiency of a kalina cycle with turbine staging |
| title_auth |
Parametric Analysis and Optimisation of Efficiency of a Kalina Cycle with Turbine Staging |
| abstract |
Abstract The ever increasing demand for energy has necessitated exploring innovative techniques for low and medium temperature energy extraction. Among them, Kalina cycle is considered efficient for extracting energy from low grade renewable sources like solar, geothermal and for waste heat recovery. In this work, we propose a Kalina cycle with turbine staging and heating between the stages. A case study is presented to illustrate the cycle. The cycle is analysed for varying pressure in the second separator and mass fraction of vapour from the first separator. The dependency of variables on separator temperature, vapour fraction at the turbine exit, net work output of the cycle, net heat input of the cycle and efficiency are analysed. Optimisation of efficiency with second separator pressure and mass fraction of vapour at the first separator as variables has been carried out using Genetic Algorithm. The optimised efficiency for the illustrative example shows an improvement of 4% compared to a simple Kalina cycle with same input parameters. © The Institution of Engineers (India) 2021 |
| abstractGer |
Abstract The ever increasing demand for energy has necessitated exploring innovative techniques for low and medium temperature energy extraction. Among them, Kalina cycle is considered efficient for extracting energy from low grade renewable sources like solar, geothermal and for waste heat recovery. In this work, we propose a Kalina cycle with turbine staging and heating between the stages. A case study is presented to illustrate the cycle. The cycle is analysed for varying pressure in the second separator and mass fraction of vapour from the first separator. The dependency of variables on separator temperature, vapour fraction at the turbine exit, net work output of the cycle, net heat input of the cycle and efficiency are analysed. Optimisation of efficiency with second separator pressure and mass fraction of vapour at the first separator as variables has been carried out using Genetic Algorithm. The optimised efficiency for the illustrative example shows an improvement of 4% compared to a simple Kalina cycle with same input parameters. © The Institution of Engineers (India) 2021 |
| abstract_unstemmed |
Abstract The ever increasing demand for energy has necessitated exploring innovative techniques for low and medium temperature energy extraction. Among them, Kalina cycle is considered efficient for extracting energy from low grade renewable sources like solar, geothermal and for waste heat recovery. In this work, we propose a Kalina cycle with turbine staging and heating between the stages. A case study is presented to illustrate the cycle. The cycle is analysed for varying pressure in the second separator and mass fraction of vapour from the first separator. The dependency of variables on separator temperature, vapour fraction at the turbine exit, net work output of the cycle, net heat input of the cycle and efficiency are analysed. Optimisation of efficiency with second separator pressure and mass fraction of vapour at the first separator as variables has been carried out using Genetic Algorithm. The optimised efficiency for the illustrative example shows an improvement of 4% compared to a simple Kalina cycle with same input parameters. © The Institution of Engineers (India) 2021 |
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Parametric Analysis and Optimisation of Efficiency of a Kalina Cycle with Turbine Staging |
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https://dx.doi.org/10.1007/s40032-021-00771-y |
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Varghese, James |
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