Model predictive control for concentrating solar power plants with thermal energy storage system

Reiji Terunuma, Hiromitsu Ohmori

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study proposes a model predictive controller for concentrating solar power (CSP) plants. Few studies have considered a thermal energy storage system and a power system. The proposed model predictive controller maintains the heat transfer fluid temperature by manipulating its mass flow rate and stabilizes the power frequency by balancing power supply and demand. In the case of the direct normal irradiance is low, the thermal energy storage system makes up for the shortage of thermal. The simulation using actual solar direct normal irradiance data and electricity demand data shows the proposed controller contributes to stable operation of CSP plants.

Original languageEnglish
Title of host publication2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages274-279
Number of pages6
ISBN (Electronic)9781728110899
Publication statusPublished - 2020 Sep 23
Event59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020 - Chiang Mai, Thailand
Duration: 2020 Sep 232020 Sep 26

Publication series

Name2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020

Conference

Conference59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020
Country/TerritoryThailand
CityChiang Mai
Period20/9/2320/9/26

Keywords

  • concentrating solar power
  • model predictive control
  • thermal energy storage system

ASJC Scopus subject areas

  • Control and Optimization
  • Instrumentation
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Decision Sciences (miscellaneous)
  • Industrial and Manufacturing Engineering

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