Coordinated planning for offshore wind and electricity–hydrogen system based on SDDP: A case study of coastal provinces in China
Year: 2024
Type: article
Abstract: The coordinated development of offshore wind and electricity–hydrogen systems (OW-EHS) has the potential to enhance the utilization of renewable energy sources and achieve carbon neutrality. This article presents a case study of nine coastal provinces in China and designs four scenarios to analyze the economic benefits and potential hydrogen production capacity of OW-EHS. A multi-stage stochastic dual dynamic programming based approach is proposed for integrating OW-EHS, exploring offshore wind energy as both a primary electricity source for coastal regions and a clean, sustainable energy source for electrolyzers. It accounts for variations in hydrogen demand, wind uncertainty, load profiles, and electricity price dynamics, offering a holistic perspective on the feasibility and benefits of collaborative offshore wind and electricity–hydrogen systems. A comparative analysis highlights the effectiveness of the proposed planning approach, demonstrating its capacity to maximize the overall system benefits, encompassing both the optimal levelized cost of energy and hydrogen production. The new discoveries elucidate the unique attributes and advantages of each coastal province in OW-EHS. This research provides a tailored blueprint for coastal provinces in China to harness their offshore wind potential and accelerate progress towards carbon neutrality. • Coordinated planning of OW-EHS tailored for coastal provinces of China. • Practical industrial electricity–hydrogen demands and offshore resources. • Multi-stage stochastic dynamic planning applied to accommodate the uncertainty. • Overall the provinces have appropriate H 2 production with LCOH below ¥18.8/kg.
Authors: Tao Qian, Qiyu Wu, Qinran Hu, Zishan Guo, Zaijun Wu
Institution: Southeast University
Language: English
Subfield: Energy Engineering and Power Technology
Field: Energy
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,500
Award: G4218734576
OpenAlex ID: W4404127241
