J. D. Gil, M. Muñoz, L. Roca, F. Rodríguez, M. Berenguel
{"title":"An IoT based Control System for a Solar Membrane Distillation Plant used for Greenhouse Irrigation*","authors":"J. D. Gil, M. Muñoz, L. Roca, F. Rodríguez, M. Berenguel","doi":"10.1109/GIOTS.2019.8766370","DOIUrl":null,"url":null,"abstract":"This paper presents a control strategy that uses the Internet of Things (IoT) technology to manage a smart-grid framework including a solar desalination facility and a group of greenhouses that demand water for irrigation. In addition, the water public utility network has also been considered an agent of this smart-grid framework. The controller is based on a Model Predictive Control (MPC) strategy which uses information, by means of an IoT platform, coming from each one of the facilities included in the smart-grid to calculate the optimal control actions in the Cloud. Simulation results are shown to demonstrate the efficiency of the proposed method.","PeriodicalId":149504,"journal":{"name":"2019 Global IoT Summit (GIoTS)","volume":"215 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Global IoT Summit (GIoTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GIOTS.2019.8766370","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This paper presents a control strategy that uses the Internet of Things (IoT) technology to manage a smart-grid framework including a solar desalination facility and a group of greenhouses that demand water for irrigation. In addition, the water public utility network has also been considered an agent of this smart-grid framework. The controller is based on a Model Predictive Control (MPC) strategy which uses information, by means of an IoT platform, coming from each one of the facilities included in the smart-grid to calculate the optimal control actions in the Cloud. Simulation results are shown to demonstrate the efficiency of the proposed method.