Multiple Model Predictive Control of Waste Heat Recovery Systems based on Organic Rankine Cycle

Authors

Han Pu, Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation (North China Electric Power University), Baoding 071003, China;
Ting Zhang, Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation (North China Electric Power University), Baoding 071003, China;

Abstract

Abstract: A multiple model predictive control strategy based on offline linear model is proposed for controlling the ORC-based WHRSs (waste heat recovery systems). The proposed control strategy is described for a wide operation region of the ORC system. A switching mechanism considering both instant output errors of each model and error accumulation is applied for the switch of local controllers in different operation regimes. Simulation results demonstrate that the proposed method can effectively regulate the evaporating pressure and the superheating temperature for the ORC-based WHRS throughout a wide operation region.

Recommended Citation

Pu, Han and Zhang, Ting (2020) "Multiple Model Predictive Control of Waste Heat Recovery Systems based on Organic Rankine Cycle," Journal of System Simulation: Vol. 29: Iss. 11, Article 30.
DOI: 10.16182/j.issn1004731x.joss.201711030
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss11/30

First Page

2811

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201711030

Last Page

2819

CLC

TP13

Recommended Citation

Han Pu, Zhang Ting. Multiple Model Predictive Control of Waste Heat Recovery Systems based on Organic Rankine Cycle[J]. Journal of System Simulation, 2017, 29(11): 2811-2819.

DOI

10.16182/j.issn1004731x.joss.201711030