@ARTICLE{Kien_Duong_Trung_The_2024, author={Kien, Duong Trung and Phap, Vu Minh and Duong, Doan Ngoc and Tu, Le and Huong, Nguyen Thu}, volume={vol. 27}, number={No 4}, pages={5–18}, journal={Polityka Energetyczna - Energy Policy Journal}, howpublished={online}, year={2024}, publisher={Instytut Gospodarki Surowcami Mineralnymi i Energią PAN}, abstract={Hydrogen production technology from wind energy is one of the feasible methods to shift dependence on fossil fuels to clean energy in the near future. In Vietnam, the government is also developing policies and regulations to promote the development of the hydrogen industry. However, hydrogen production efficiency from areas with different potential for wind power exploitation in Vietnam has not yet been researched to provide a sufficient basis for investors to develop projects. In this paper, the hydrogen production potential from wind power systems is analysed based on the wind energy potential in each region in Vietnam with the support of SAM software and hydrogen production formulas. Phu Yen province (South Central region) and Dak Lak province (Central Highlands region) with the highest wind energy potential, have the largest hydrogen production of 45,286.1 kg/year and 42,675.4 kg/year, respectively. Wind power will help reduce large amounts of CO2 emissions into the environment by replacing grid electricity that uses fossil fuels in the electrolysis process. The amount of CO2 emission reduction is determined by corresponding to the amount of wind power produced for the hydrogen generation process. Phu Yen province has the highest CO2 emission reduction of 1,792,968 kg/year, while Ho Chi Minh City has the lowest value of 859,233 kg/year. The study results can be referenced by managers, consultants, and investors to support the development of the green hydrogen sector in Vietnam.}, title={The assessment of hydrogen production potential from wind power in Vietnam}, type={Article}, URL={http://journals.pan.pl/Content/133600/PDF/01-PE-01-KIEN%20i%20inni.pdf}, keywords={hydrogen energy, wind power, electricity, CO2 emission reduction}, }