An Interactive Optimal Scheduling Method for Hydrogen Production System with Heat Recovery
Shengchen Li, Wenbin Wu, Zhenhang Wu, Linrui Ma, Yang Si
TL;DR
This paper introduces a new scheduling method for hydrogen production systems that uses waste heat recovery to improve efficiency and output, especially under variable renewable energy conditions.
Contribution
The novel contribution is an interactive optimization framework that jointly optimizes electrolyser current and mass flow for heat recovery in hydrogen systems.
Findings
The proposed system with heat recovery increases hydrogen production by up to 9% under wind scarcity.
The interactive optimization method enhances economic performance by jointly optimizing electrolyser and heat-recovery parameters.
Real wind-farm data from Qinghai validates the practical viability of the system.
Abstract
Renewable intermittency forces electrolytic hydrogen systems to operate across multiple states, lowering efficiency. We design a thermodynamic cycle that recovers electrolysis waste heat and integrates it with an alkaline electrolyser. A detailed thermodynamic model of the hydrogen system and the heat-recovery loop is developed, and design and operating parameters are optimized to maximize overall exergy efficiency. To improve economic viability, heat-exchanger structural parameters are co-optimized. We further propose an optimal scheduling method for the heat-recovery system under fluctuating renewable supply. The method employs an interactive optimisation framework cantered on the temperature–efficiency curve of alkaline electrolyser cells, jointly optimizing electrolyser current and working-fluid mass flow to enhance economic performance. A case study using real wind-farm data from…
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Taxonomy
TopicsHybrid Renewable Energy Systems · Integrated Energy Systems Optimization · Chemical Looping and Thermochemical Processes