Model-based Predictive Control of a Solar Reactor

被引：0

作者：

Karout, Youssef ^{[1
,2
]}

Curcio, Axel ^{[1
,3
]}

Eynard, Julien ^{[1
,2
]}

Thil, Stephane ^{[1
,2
]}

Rodat, Sylvain ^{[3
]}

Abanades, Stephane ^{[3
]}

Grieu, Stephane ^{[1
,2
]}

机构：

[1] Tecnosud, PROMES CNRS UPR 8521, Rambla Thermodynam, F-66100 Perpignan, France

[2] Univ Perpignan Via Domitia UPVD, 52 Ave Paul Alduy, F-66860 Perpignan, France

[3] PROMES CNRS UPR 8521, 7 Rue 4 Solaire, F-66120 Font Romeu Odeillo Via, France

来源：

SOLARPACES 2022, 28TH INTERNATIONAL CONFERENCE ON CONCENTRATING SOLAR POWER AND CHEMICAL ENERGY SYSTEMS, VOL 1 | 2023年

关键词：

Model-Based Predictive Control; Solar Reactor; Syngas Production; BIOMASS GASIFICATION;

D O I：

10.52825/solarpaces.v1i.647

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The present paper deals with the modelling and control of a solar reactor designed to produce syngas, by exploiting concentrated solar power. A model of the reactor based on the thermodynamic equilibrium is developed. Two model-based predictive control strategies are proposed: the first strategy (MPC strategy 1) aims to maintain the reactor's temperature at its nominal value whereas the second strategy (MPC strategy 2) aims to maintain the reactor's temperature at its nominal value, while maximizing the use of solar energy. Finally, these strategies are compared to a reference strategy, which is based on a combination of a rule-based controller and an adaptive PID controller with optimized gains. The robustness of the MPC controller to forecast errors is also studied by testing different DNI forecasting models.

引用

页数：7

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