A. Arestova, S. Mitrofanov, A. Rusina, A. Kolesnikov
{"title":"Application of GIS Technologies to Improve the Efficiency of HPP Cascades Simulation Model","authors":"A. Arestova, S. Mitrofanov, A. Rusina, A. Kolesnikov","doi":"10.17516/1999-494x-0262","DOIUrl":null,"url":null,"abstract":"The paper presents the calculation algorithm for water-energy regime of a hydroelectric power stations cascade. The block diagram of the algorithm is given for implementing the simulation model and automating the process of regime calculating. The proposed algorithm allows to evaluate the efficiency of the cascade operation, as well as to optimize the regime according to various criteria. Additionally, an option is proposed to integrate GIS monitoring data into the calculation algorithm. The sources and characteristics of Earth remote sensing data that can be used to build the model are presented","PeriodicalId":17206,"journal":{"name":"Journal of Siberian Federal University: Engineering & Technologies","volume":"26 1","pages":"732-744"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Siberian Federal University: Engineering & Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17516/1999-494x-0262","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
The paper presents the calculation algorithm for water-energy regime of a hydroelectric power stations cascade. The block diagram of the algorithm is given for implementing the simulation model and automating the process of regime calculating. The proposed algorithm allows to evaluate the efficiency of the cascade operation, as well as to optimize the regime according to various criteria. Additionally, an option is proposed to integrate GIS monitoring data into the calculation algorithm. The sources and characteristics of Earth remote sensing data that can be used to build the model are presented
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