| Title |
A Study on the Establishment of Prediction Diagnosis System Based on AI for Renewable Energy Seawater Desalination Convergence System |
| Authors |
Hyogeun Oh ; Ingyu Park ; Ziha Lee ; Joonki Min ; Hiki Hong |
| DOI |
https://doi.org/10.6110/KJACR.2019.31.12.539 |
| Keywords |
신재생에너지; HCPVT(고집광 태양광열); 해수담수화; AI(인공지능); 예측진단시스템 New renewable energy; High Concentration Photo-Voltaic Thermal(HCPVT); Seawater desalination; Artificial Intelligence(AI); Predict diagnosis system |
| Abstract |
Recently, the desalination technology market has been growing rapidly because of the lack of water resources. However, it is consuming considerable power and heat. Thus, research is underway on the development of the HCPVT desalination system using renewable energy. And the development of the predictive diagnosis system is necessary to improve operational efficiency. In this study, research methods for establishing a more rational AI-based diagnostic system were presented by analyzing the method of research for AI-based diagnosis system studied in advance. Additionally, this study includes a plan for establishing a predictive diagnosis system for AI-based new and renewable energy desalination convergence system by identifying the components of each HCPVT desalination system equipment and presenting the connection conceptual diagram and ANN model. |