AccScience Publishing / AJWEP / Online First / DOI: 10.36922/AJWEP025370289
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ORIGINAL RESEARCH ARTICLE

Long-term wind energy potential analysis in Vietnam’s central highlands using the innovative trend analysis method

Do Quang Linh1,2† ,  Tran Duc Dung2,3† ,  Dang Truong An2,4*
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1 Department of Environmental Management and Informatics, Faculty of Environment, University of Science, Ho Chi Minh City, Vietnam
2 Vietnam National University-Ho Chi Minh City, Ho Chi Minh City, Vietnam
3 Institute for Environment and Resources, Ho Chi Minh City, Vietnam
4 Department of Oceanology, Meteorology and Hydrology, Faculty of Physis-Physis Engineering, University of Science, Ho Chi Minh City, Vietnam
†These authors contributed equally to this work.
AJWEP, 025370289 https://doi.org/10.36922/AJWEP025370289
Received: 10 September 2025 | Revised: 23 October 2025 | Accepted: 30 October 2025 | Published online: 18 November 2025
© 2025 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
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Abstract

Understanding long-term trends in local wind resources is a critical prerequisite for sustainable energy planning. This study provides a detailed investigation of historical wind-speed trends in Vietnam’s Central Highlands, a region with significant untapped wind power potential. We employed the advanced innovative trend analysis (ITA) method to analyze a 30-year (1985–2014) daily wind-speed dataset from four key meteorological stations, which was rigorously checked for homogeneity. While the observational period concluded in 2014, we established a critical historical baseline and a robust methodological framework. Unlike conventional monotonic tests, the graphical ITA method detected and visualized hidden, non-linear trends across different data sub-series. The analysis revealed highly heterogeneous and localized trend patterns. A statistically significant decreasing trend was identified at Bao Loc station during the wet season (p<0.05). In contrast, stations like Ayun Pa exhibited opposing trends between seasons, indicating an intensification of wind seasonality. This study demonstrates that a granular, site-specific, and methodologically advanced understanding of wind resource dynamics is essential, revealing nuances completely overlooked by traditional methods and providing crucial insights for climate-resilient energy planning.

Graphical abstract
Keywords
Climate change
Innovative trend analysis
Renewable energy
Trend analysis
Wind speed
Central highlands
Funding
None.
Conflict of interest
The authors declare that they have no competing interests.
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Asian Journal of Water, Environment and Pollution, Electronic ISSN: 1875-8568 Print ISSN: 0972-9860, Published by AccScience Publishing
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