In an era where energy efficiency is paramount, a groundbreaking study led by Pengfei Han from the Key Laboratory of Control of Power Transmission and Conversion at Shanghai Jiao Tong University is set to redefine how we integrate electricity, hydrogen, and district heating systems. Published in the journal ‘IET Renewable Power Generation’, this research introduces a dual-layer model predictive control (DLMPC) approach that promises to enhance the operational efficiency of integrated energy systems.
The study recognizes that hydrogen, as a burgeoning energy source, has not yet been fully optimized in conjunction with other energy forms. This inefficiency often translates to elevated operating costs and subpar energy performance. Han notes, “The integration of hydrogen with electricity and heating systems can significantly reduce operational costs and improve energy efficiency.” His team’s innovative model seeks to change that narrative by coordinating these systems more effectively.
At the heart of the research is a mathematical model that links electrolysers—the devices that produce hydrogen from water— to district heating networks (DHNs). The introduction of a bidirectional heat exchange (BHE) mechanism allows for more dynamic thermal management between hydrogen production and heating demands. This means that as energy generation fluctuates, particularly from renewable sources, the system can adapt in real-time, ensuring that energy is used more efficiently where it is needed most.
The DLMPC method proposed by the researchers operates on two layers. The upper layer manages hourly power variations, establishing operational schedules for the integrated electricity, hydrogen, and heating microgrid (IEHHM). Meanwhile, the lower layer fine-tunes the output of electrolysers and combined heat and power (CHP) plants to align with real-time changes in renewable energy generation. This dual approach not only enhances the flexibility of the system but also significantly reduces operating costs, a crucial factor for commercial viability in the energy sector.
Simulation results from the study are promising. They indicate that the BHE mechanism enhances the thermal dynamics of both electrolysers and DHNs, thereby increasing operational flexibility. Han emphasizes, “By enabling timely adjustments to the dispatch schedules, we can respond more effectively to the multi-time-scale power variations inherent in renewable energy generation.” This adaptability is vital as the energy landscape shifts increasingly towards renewables, which are known for their variability.
The implications of this research are far-reaching. By improving the integration of hydrogen with other energy sources, the study paves the way for more resilient and cost-effective energy systems. This could lead to lower energy bills for consumers and businesses alike, while also contributing to broader sustainability goals. As the world grapples with climate change and seeks cleaner energy solutions, innovations like Han’s DLMPC model could play a pivotal role in shaping the future of energy production and consumption.
For those interested in exploring this research further, it can be found in ‘IET Renewable Power Generation’, which translates to ‘IET Renewable Power Generation’ in English. You can learn more about Pengfei Han and his work at the Key Laboratory of Control of Power Transmission and Conversion.
