Photoelectric hydrogen production and methanol production method

By using cross-unit causal graph model and mechanism-constrained time-series prediction, combined with sub-Bruker optimization and event-triggered reconstruction, an integrated adaptive and coordinated control of the photoelectric hydrogen production and methanol synthesis system was realized. This solved the problems of insufficient dynamic coupling relationship characterization and poor equipment degradation adaptability at the system level, improved methanol yield and carbon dioxide utilization, and reduced energy consumption and risk.

CN122127197APending Publication Date: 2026-06-02INST OF SYST ENG ACAD OF MILITARY SCI MILITARY NEW ENERGY TECH INST
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Patent Information

Application Number
CN202610283408.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-10
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

In existing technologies, there is a lack of unified modeling for photoelectric hydrogen production and methanol synthesis systems, making it difficult to achieve coordinated matching between hydrogen production, buffering, synthesis and reflux at the system level. Furthermore, the systems have poor adaptability to fluctuating operating conditions and equipment degradation, making it difficult to balance methanol yield, energy consumption and carbon utilization.

Method used

A cross-unit causal graph model is constructed, which combines mechanistic-constrained time-series prediction and sub-Bruker bar optimization. Event-triggered reconstruction and counterfactual online correction are adopted to achieve integrated adaptive and coordinated control of photoelectric hydrogen production and methanol synthesis.

Benefits of technology

It improves the predictive reliability and robustness of the system under complex operating conditions, enhances its adaptability to extreme operating conditions, increases methanol yield and carbon dioxide utilization, and reduces overall energy consumption and operational risks.

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Abstract

The invention relates to a method for producing hydrogen and methanol through photoelectricity. The method comprises the following steps: acquiring operation data of a photoelectric hydrogen production unit, a hydrogen buffer unit, a carbon dioxide supply unit, a methanol synthesis unit and a cyclic separation unit, and constructing a system state vector and a disturbance vector; constructing a cross-unit causal diagram according to material conservation, energy conservation and a hydrogen-carbon ratio relationship, and extracting causal effect characteristics of disturbance on hydrogen production flow, hydrogen supply capacity and methanol yield; a mechanism constraint time sequence prediction network is combined to obtain hydrogen production flow, hydrogen purity, methanol yield, comprehensive energy consumption, carbon dioxide utilization rate and prediction uncertainty; constructing a distribution robust multi-objective optimization model with chance constraints based on a prediction result, and generating a control action by adopting double-layer rolling solution; under the event triggering condition, control reconstruction, safety projection and anti-fact online correction are executed, and integrated self-adaptive cooperative control of the photoelectric hydrogen production and methanol production process is achieved. The method can improve the methanol yield and the carbon dioxide utilization rate, and reduce the comprehensive energy consumption and operation risk.
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