S3

Περιγραφή

The primary objective of this industrial research project is to realize a next generation Smart Solar System (S3) for steam generation based on Concentrated Solar Thermal (CST) technology. The smart control system will feature self-learning, adaptive, predictive and automatic characteristics and will be demonstrated for the solar plant installed at KEAN Soft Drinks Ltd in Limassol, Cyprus. The smart control system will consist of a Main Control Unit (MCU) and based on operational data from Local Control Units (LCU), weather & load forecasting inputs and the consumer demand schedule, the MCU will automatically select an optimum operation strategy. The degree of intelligence of the smart control system targeted- is in accordance with the objectives of the SOLAR-ERA.NET call (subtopics E1, E5 and E6) and the aims of the European strategic energy technology (SET) plan for CSP to improve the performance of a CST system and will lead to lower operation and maintenance costs, while in line with the goals of Industry 4.0.

Έναρξη έργου : Μάρτιος 2021
Λήξη έργου : Ιούνιος 2023
solar

Ερευνητικά αποτελέσματα

  • Sattler, J. C., Atti, V., Alexopoulos, S., Teixeira Boura, C., Herrmann, U., Dutta, S., & Kioutsioukis, I. (2024). DNI Forecast Tool for the Smart Operation of a Parabolic Trough Collector System With Concrete Thermal Energy Storage: Theory, Results and Outlook. SolarPACES Conference Proceedings, 1. https://doi.org/10.52825/solarpaces.v1i.731
  • Voukelatos, A., Anastasiou, A., Sattler, J. C., Alexopoulos, S., Dutta, S., & Kioutsioukis, I. (2024). Design and Implementation of a Soiling Forecasting Tool for Parabolic Through Collector Mirrors. SolarPACES Conference Proceedings, 1. https://doi.org/10.52825/solarpaces.v1i.722
  • Voukelatos, A., Sattler, J. C., Dutta, S., Alexopoulos, S., & Kioutsioukis, I. (2024). Sensitivity of Dust Deposition for Parabolic Trough Collector Mirrors to Different Meteorological Drivers: Theory and Results. SolarPACES Conference Proceedings, 2. https://doi.org/10.52825/solarpaces.v2i.897
  • Sattler, J. C., Dutta, S., Alexopoulos, S., Kawam, A., Teixeira Boura, C., Herrmann, U., & Kioutsioukis, I. (2024). Development of a DNI Forecast Tool Based on Machine Learning for the Smart Operation of a Parabolic Trough Collector System with Thermal Energy Storage: Theory and Results. SolarPACES Conference Proceedings, 2. https://doi.org/10.52825/solarpaces.v2i.802