Parameter Correction on Waste Heat Recovery System of a Gas Turbine Using Supercritical CO<sub>2</sub> Based on Data Reconciliation
At present, the research significance of a waste heat recovery system of a gas turbine using CO<sub>2</sub> is gradually becoming prominent, and accurate parameter measurement and performance monitoring are very necessary in the process of establishing coupled circulation system and actu...
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MDPI AG
2024-12-01
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| author | Liang Xu Jiarui You Jiahua Wu Yikang Liu Di Zhang |
| author_facet | Liang Xu Jiarui You Jiahua Wu Yikang Liu Di Zhang |
| author_sort | Liang Xu |
| collection | DOAJ |
| description | At present, the research significance of a waste heat recovery system of a gas turbine using CO<sub>2</sub> is gradually becoming prominent, and accurate parameter measurement and performance monitoring are very necessary in the process of establishing coupled circulation system and actual operation. In this paper, a data reconciliation model is established based on the waste heat recovery system of a gas turbine using supercritical CO<sub>2</sub> (S-CO<sub>2</sub>) cycle with two S-CO<sub>2</sub> turbines, and several random errors and gross errors are added to verify the data reconciliation ability of the model. The calculation shows that the data reconciliation model established in this paper can obviously reduce the overall deviation level of each parameter in the thermal system, and can also identify and eliminate gross errors in the system. For some of the key parameters such as the total mass flow of CO<sub>2</sub>, data deviation is reduced to less than 1%, and high-precision power values of the equipment are calculated. This means that the measurement accuracy is effectively improved. In general, this paper makes a new attempt to use data reconciliation in parameter measurement and correction of a simple coupled cyclic system, and provides a certain reference for the subsequent application. |
| format | Article |
| id | doaj-art-825a147d387b4e18ae13bebfae17741c |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
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| series | Applied Sciences |
| spelling | doaj-art-825a147d387b4e18ae13bebfae17741c2025-08-20T02:37:10ZengMDPI AGApplied Sciences2076-34172024-12-0115124810.3390/app15010248Parameter Correction on Waste Heat Recovery System of a Gas Turbine Using Supercritical CO<sub>2</sub> Based on Data ReconciliationLiang Xu0Jiarui You1Jiahua Wu2Yikang Liu3Di Zhang4School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaSchool of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaSchool of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaSchool of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaSchool of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaAt present, the research significance of a waste heat recovery system of a gas turbine using CO<sub>2</sub> is gradually becoming prominent, and accurate parameter measurement and performance monitoring are very necessary in the process of establishing coupled circulation system and actual operation. In this paper, a data reconciliation model is established based on the waste heat recovery system of a gas turbine using supercritical CO<sub>2</sub> (S-CO<sub>2</sub>) cycle with two S-CO<sub>2</sub> turbines, and several random errors and gross errors are added to verify the data reconciliation ability of the model. The calculation shows that the data reconciliation model established in this paper can obviously reduce the overall deviation level of each parameter in the thermal system, and can also identify and eliminate gross errors in the system. For some of the key parameters such as the total mass flow of CO<sub>2</sub>, data deviation is reduced to less than 1%, and high-precision power values of the equipment are calculated. This means that the measurement accuracy is effectively improved. In general, this paper makes a new attempt to use data reconciliation in parameter measurement and correction of a simple coupled cyclic system, and provides a certain reference for the subsequent application.https://www.mdpi.com/2076-3417/15/1/248waste heat recoverysupercritical CO<sub>2</sub> cycledata reconciliationgross error identificationmeasurement data accuracy |
| spellingShingle | Liang Xu Jiarui You Jiahua Wu Yikang Liu Di Zhang Parameter Correction on Waste Heat Recovery System of a Gas Turbine Using Supercritical CO<sub>2</sub> Based on Data Reconciliation Applied Sciences waste heat recovery supercritical CO<sub>2</sub> cycle data reconciliation gross error identification measurement data accuracy |
| title | Parameter Correction on Waste Heat Recovery System of a Gas Turbine Using Supercritical CO<sub>2</sub> Based on Data Reconciliation |
| title_full | Parameter Correction on Waste Heat Recovery System of a Gas Turbine Using Supercritical CO<sub>2</sub> Based on Data Reconciliation |
| title_fullStr | Parameter Correction on Waste Heat Recovery System of a Gas Turbine Using Supercritical CO<sub>2</sub> Based on Data Reconciliation |
| title_full_unstemmed | Parameter Correction on Waste Heat Recovery System of a Gas Turbine Using Supercritical CO<sub>2</sub> Based on Data Reconciliation |
| title_short | Parameter Correction on Waste Heat Recovery System of a Gas Turbine Using Supercritical CO<sub>2</sub> Based on Data Reconciliation |
| title_sort | parameter correction on waste heat recovery system of a gas turbine using supercritical co sub 2 sub based on data reconciliation |
| topic | waste heat recovery supercritical CO<sub>2</sub> cycle data reconciliation gross error identification measurement data accuracy |
| url | https://www.mdpi.com/2076-3417/15/1/248 |
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