Jianfei Hou, Xun Zhang, Heino Zimmermann, Zhaohui Xiang
{"title":"Thermal Performance Monitoring and Analysis of Nuclear Power Plant","authors":"Jianfei Hou, Xun Zhang, Heino Zimmermann, Zhaohui Xiang","doi":"10.1115/icone29-91886","DOIUrl":null,"url":null,"abstract":"\n In order to avoid sudden fault and damage of equipment which will affect reliability and safety of the nuclear power plant, it is necessary to monitor the actual thermal performance of the nuclear power plant and analyse the thermal performance trends of thermal circuits and important equipment which is the basis of fault predicts. Based on the mature and widely applied EBSILON software, thermodynamic model of a nuclear power plant in operation is built including the primary loop, second and third loop and important equipment such as steam turbines, condenser, deaerator, low-pressure and high-pressure heaters and main feed water pumps. In particular, hundreds of instruments are taken into account in the thermodynamic model and all the measured data during operation of the nuclear power plant is imported into the instruments. Thermal performance of the nuclear power plant is evaluated and analyzed in different seasons and results displays the performance factors of important equipment compared to the design performance. In addition, a data reconciliation calculation is taken out to check the correctness of measurements using the massive redundant measured data of the plant and results shows some instruments may have potential measurement fault. Current work lays a foundation for the future research of fault predicts and diagnoses of the nuclear power plant.","PeriodicalId":422334,"journal":{"name":"Volume 12: Innovative and Smart Nuclear Power Plant Design","volume":"111 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 12: Innovative and Smart Nuclear Power Plant Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/icone29-91886","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In order to avoid sudden fault and damage of equipment which will affect reliability and safety of the nuclear power plant, it is necessary to monitor the actual thermal performance of the nuclear power plant and analyse the thermal performance trends of thermal circuits and important equipment which is the basis of fault predicts. Based on the mature and widely applied EBSILON software, thermodynamic model of a nuclear power plant in operation is built including the primary loop, second and third loop and important equipment such as steam turbines, condenser, deaerator, low-pressure and high-pressure heaters and main feed water pumps. In particular, hundreds of instruments are taken into account in the thermodynamic model and all the measured data during operation of the nuclear power plant is imported into the instruments. Thermal performance of the nuclear power plant is evaluated and analyzed in different seasons and results displays the performance factors of important equipment compared to the design performance. In addition, a data reconciliation calculation is taken out to check the correctness of measurements using the massive redundant measured data of the plant and results shows some instruments may have potential measurement fault. Current work lays a foundation for the future research of fault predicts and diagnoses of the nuclear power plant.