Abstract
Hydrogen, regarded as one of the cleanest energy carriers, is gaining momentum to support the realization of net-zero emissions integrated energy systems due to its versatile applications across various energy sectors. In the near-term, blending hydrogen into integrated energy systems offers opportunities to promote hydrogen integration considering the current high levelized cost of hydrogen. However, because of the different physical properties of hydrogen, the impact of hydrogen on the reliability and optimal operation of integrated energy systems should be investigated to maximize the share of hydrogen without degrading the functionality of integrated energy systems. In the long-term, the optimal planning of integrated energy systems with hydrogen integration should be conducted to guide the evolution of net-zero emissions integrated energy systems and improve capital efficiency, considering the multiple technological options, the vast capital expenditures, and the long payback period in the power and hydrogen infrastructure.
This work starts with the reliability evaluation of the power-gas integrated energy systems considering hydrogen effects. A power-to-hydrogen-methane process is proposed to convert the surplus renewable energy to hydrogen and methane, which are then mixed into natural gas systems. A novel optimal energy shedding model is proposed to account for the impact of hydrogen on energy flow explicitly. To consider the temporal feature of renewable energy, a sequential Monte Carlo simulation approach is applied to evaluate the reliability of the power-gas integrated energy systems. The impact of various hydrogen fractions and energy flow models on the reliability of power-gas integrated energy systems is investigated.
Then, we investigate the optimal operation of power-heat-gas integrated energy systems with hydrogen integration. A linear power-to-hydrogen-heat-methane model is first proposed based on the convex combination methods. Unit commitment constraints are then integrated to model the operational characteristics (e.g., loading range, startup, and shutdown limits) of electrolyzers. A data-driven distributionally robust optimal operation model is then proposed. In the proposed operation model, steady-state and dynamic gas flow models with the explicit consideration of hydrogen effects are integrated. The Wasserstein metric-based ambiguous sets are constructed to take into account probability distributions of wind energy with high confidence levels. Equivalent mixed-integer linear programming formulations are derived to ensure computational tractability.
Finally, we propose a stochastic programming-based coordinated planning model for power-gas-hydrogen integrated energy systems. A concentrated solar power plant-based high-temperature electrolysis model is proposed to improve the efficiency of power to hydrogen. A detailed operation model considering different types of electrolyzers is developed. Then, a hydrogen hub model, including hydrogen production, storage, transmission, and consumption, is proposed to enable multiple energy flows between power, gas, and hydrogen systems. Last, a coordinated planning model for power-gas-hydrogen integrated energy system is proposed to optimize the location, size, and type of components in power and hydrogen systems. A two-stage stochastic programming method is developed to cope with demand and renewable uncertainties. Linearized cluster unit commitment is integrated to handle renewable intermittency.
Degree Date
Fall 12-16-2023
Document Type
Dissertation
Degree Name
Ph.D.
Department
Electrical and Computer Engineering
Advisor
Jianhui Wang
Subject Area
Electrical, Electronics Engineering
Number of Pages
142
Format
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
Recommended Citation
Wu, Tao, "On The Integration Of Hydrogen Into Integrated Energy Systems: Reliability Assessment And Optimal Operation And Planning" (2023). Electrical Engineering Theses and Dissertations. 71.
https://scholar.smu.edu/engineering_electrical_etds/71
