(438c) Multi-Period Joint Capacity Expansion Planning of Renewable Electricity and Hydrogen Production: An Application to South Korea

The increasing concerns over greenhouse gas emissions and the consequential climate change have driven the search for sustainable alternatives to conventional fossil fuels. One such alternative is green hydrogen, generated from the electrolysis of water using renewable electricity and free from greenhouse gas emissions during combustion. In order to meet the increasing demand for hydrogen and achieve cost-effective hydrogen production, the capacity expansion of both renewable energy systems and hydrogen supply chain must be jointly planned while considering the dynamics between the two systems. However, despite the interdependence between these two systems, research on their joint planning is rather scarce [1, 2].

One study proposed a linear continuous truck routing model for hydrogen transportation within a joint planning framework [3], where a robust optimization was employed to address uncertainties. Another study investigated various technologies associated with the generation and storage of both electricity and hydrogen [4]. Specifically, hydrogen production through electrolysis was compared against that from steam methane reforming with or without carbon capture and storage. However, these studies did not account for the long-term dynamics of the hybrid system or the lifetimes of different facilities, which have significant implications for long-term planning. On the other hand, there exist several works which addressed long-term, multi-period planning for the hydrogen and renewable power production by considering facilities with varying lifetime [5, 6]. However, in these studies, the focus was on the planning of either hydrogen production or renewable power generation, while the other was assumed to have a fixed infrastructure, i.e., joint planning was not explicitly considered.

To this end, in this talk, a multi-period joint capacity expansion planning framework is proposed for renewable electricity and hydrogen production to meet the long-term future demands. The proposed framework determines the optimal size and location of production, storage, transmission/transportation, and operation of the hybrid supply chain network by solving a cost minimization mathematical programming problem. This problem is a multi-time scale decision making problem, where detailed operational decision constraints at an hourly level are combined with investment planning decisions over a few decades. The effectiveness and advantages of the proposed framework will be illustrated by a comprehensive case study for the hydrogen economy of South Korea, taking into account a range of policy and technology scenarios.

[1] Riera, J. A., Lima, R. M., & Knio, O. M. (2023). A review of hydrogen production and supply chain modeling and optimization. International Journal of Hydrogen Energy.

[2] Farrokhifar, M., Nie, Y., & Pozo, D. (2020). Energy systems planning: A survey on models for integrated power and natural gas networks coordination. Applied Energy, 262, 114567.

[3] Wang, S., & Bo, R. (2021). Joint planning of electricity transmission and hydrogen transportation networks. IEEE Transactions on Industry Applications, 58(2), 2887-2897.

[4] Bødal, E. F., Mallapragada, D., Botterud, A., & Korpås, M. (2020). Decarbonization synergies from joint planning of electricity and hydrogen production: a Texas case study. international journal of hydrogen energy, 45(58), 32899-32915.

[5] Li, C., Conejo, A. J., Liu, P., Omell, B. P., Siirola, J. D., & Grossmann, I. E. (2022). Mixed-integer linear programming models and algorithms for generation and transmission expansion planning of power systems. European Journal of Operational Research, 297(3), 1071-1082.

[6] Yoon, H. J., Seo, S. K., & Lee, C. J. (2022). Multi-period optimization of hydrogen supply chain utilizing natural gas pipelines and byproduct hydrogen. Renewable and Sustainable Energy Reviews, 157, 112083.