Operational Regulation of a Solar Methanol Decomposition Reactor under Solar Irradiance Disturbances

ZHANG Peiye; FU Yu; WANG Zhu; LIU Ming; YAN Junjie

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Operational Regulation of a Solar Methanol Decomposition Reactor under Solar Irradiance Disturbances

更新时间：2026-09-04

- Operational Regulation of a Solar Methanol Decomposition Reactor under Solar Irradiance Disturbances
- JOURNAL OF XI’AN JIAOTONG UNIVERSITY (2026)
- 作者机构：
  
  1.西安交通大学绿色氢电全国重点实验室，710049，西安
  2.西安交通大学陕西省能源动力系统优化与控制重点实验室，710049，西安
  3.西安热工研究院有限公司，710054，西安
- 作者简介：
- 基金信息：
- DOI：
  CLC： TK91
- Received：14 July 2026，
  
  Revised：2026-08-24，
  
  Accepted：04 September 2026，
- 稿件说明：
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ZHANG Peiye, FU Yu, WANG Zhu, et al. Operational Regulation of a Solar Methanol Decomposition Reactor under Solar Irradiance Disturbances[J]. JOURNAL OF XI’AN JIAOTONG UNIVERSITY,2026.
DOI：

ZHANG Peiye, FU Yu, WANG Zhu, et al. Operational Regulation of a Solar Methanol Decomposition Reactor under Solar Irradiance Disturbances[J]. JOURNAL OF XI’AN JIAOTONG UNIVERSITY,2026. DOI：

摘要

太阳直接辐照度（DNI）的间歇性与波动性易导致太阳能甲醇分解反应器转化率偏离目标、效率降低甚至催化剂超温烧结，为此，本文提出了一种融合扩展卡尔曼滤波（EKF）状态估计与积分补偿的模型预测控制（IMPC）策略。首先，建立太阳能甲醇分解反应器的一维动态模型及其状态空间模型；其次，设计基于扩展卡尔曼滤波（EKF）的状态估计器，利用温度测量信息实时校正反应器状态，实现组分质量分数的在线估计；在此基础上，以甲醇转化率跟踪为控制目标，构建引入积分补偿的模型预测控制器（IMPC），通过滚动优化求解光照扰动条件下的最优甲醇流量。结果表明，在光学效率存在2%偏差时，甲醇质量分数的平均估计偏差仅为0.06%；在太阳云遮时应用提出的IMPC策略，甲醇的最大转化率偏差仅0.41%，优于标准MPC的1.85%和PI控制的6.87%，平均转化率达94.97%，稳定时间由400 s缩短至300 s，太阳-化学㶲效率由16.59%提升至18.11%，且全程未出现催化剂超温现象，实现了光照扰动条件下太阳能甲醇分解反应器的高效、安全与稳定运行。

Abstract

The intermittency and fluctuations in direct normal irradiance (DNI) can cause methanol conversion in a solar methanol decomposition reactor to deviate from its target

reduce system efficiency

and even lead to catalyst overheating and sintering. To address these issues

an integral model predictive control (IMPC) strategy incorporating extended Kalman filter (EKF)-based state estimation is proposed. First

a one-dimensional dynamic model and its state-space representation are established for the reactor. Next

an EKF-based state estimator uses temperature measurements to correct the reactor states in real time

enabling online estimation of the species mass fractions. On this basis

an IMPC controller with integral compensation is developed to track methanol conversion

and receding-horizon optimization is used to determine the optimal methanol feed flow rate under irradiance disturbances. Results show that

when a 2% deviation in optical efficiency is introduced

the mean estimation error of the methanol mass fraction is only 0.06%. Under cloud-cover conditions

the proposed IMPC limits the maximum deviation in methanol conversion to 0.41%

compared with 1.85% for standard MPC and 6.87% for PI control. The average methanol conversion reaches 94.97%

the settling time decreases from 400 to 300 s

and the solar-to-chemical exergy efficiency increases from 16.59% to 18.11%. No catalyst overheating occurs throughout the process. These results demonstrate that the proposed strategy enables efficient

safe

and stable operation of the solar methanol decomposition reactor under solar irradiance disturbances.

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references

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