Estimating high-resolution profiles of wind speeds from a global reanalysis dataset using TabNet DOI Creative Commons
Harish Baki, Sukanta Basu

Environmental Data Science, Год журнала: 2024, Номер 3

Опубликована: Янв. 1, 2024

Abstract The growing demand for global wind power production, driven by the critical need sustainable energy sources, requires reliable estimation of speed vertical profiles accurate prediction and comprehensive turbine performance assessment. Traditional methods relying on empirical equations or similarity theory face challenges due to their restricted applicability beyond surface layer. Although recent studies have utilized various machine learning techniques vertically extrapolate speeds, they often focus single levels lack a holistic approach predicting entire profiles. As an alternative, this study introduces proof-of-concept methodology utilizing TabNet, attention-based sequential deep model, estimate from coarse-resolution meteorological features extracted reanalysis dataset. To ensure that is applicable across diverse datasets, Chebyshev polynomial approximation employed model Trained as inputs coefficients targets, TabNet more-or-less accurately predicts unseen different conditions, such high shear, low shear/well-mixed, low-level jet, wind. Additionally, quantifies correlation with prevailing atmospheric conditions through systematic feature importance

Язык: Английский

Future global offshore wind energy under climate change and advanced wind turbine technology DOI Creative Commons
Christopher Jung, Leon Sander, Dirk Schindler

и другие.

Energy Conversion and Management, Год журнала: 2024, Номер 321, С. 119075 - 119075

Опубликована: Сен. 21, 2024

Язык: Английский

Процитировано

13

A Review of Solar and Wind Energy Resource Projection Based on the Earth System Model DOI Open Access
Guanying Chen, Zhenming Ji

Sustainability, Год журнала: 2024, Номер 16(8), С. 3339 - 3339

Опубликована: Апрель 16, 2024

Many countries around the world are rapidly advancing sustainable development (SD) through exploitation of clean energy sources such as solar and wind energy, which becoming core transition. In recent years, continuous advancement Earth system models (ESMs) has facilitated numerous studies utilizing them to predict long-term large-scale meteorological elements, consequently enabling forecasts energy. These provide critical guidance for formulating national renewable policies. Nevertheless, current literature on ESMs predicting lacks sufficient integration. Hence, comprehend focal points future research prospects, we conducted this systematic review, employing four academic search tools comprehensively analyze relevant from past five years. We summarized general analytical process compared content conclusions literature. The study reveals that photovoltaic (PV) potential electricity generation may increase in certain regions but decrease others, while global concentrated power (CSP) diminish, influenced by diverse factors displaying significant regional disparities. addition, resource trends vary different regions, exhibit considerable uncertainty. Therefore, many have corrected speeds prior Subsequent endeavors should concentrate optimizing ESMs, investigating impacts technological innovation, enhancing prediction analysis extreme weather events.

Язык: Английский

Процитировано

4

Unveiling Future Offshore Wind Potential: A Multi Criteria Framework for Sustainable Development DOI
Garlapati Nagababu, Deepjyoti Basak, Harish Puppala

и другие.

Lecture notes in civil engineering, Год журнала: 2025, Номер unknown, С. 615 - 623

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Spatiotemporal assessment of offshore wind energy resources in the Guangdong–Hong Kong–Macau greater Bay area considering climate change impacts DOI
Junyi He, Pak Wai Chan, Q.S. Li

и другие.

Physics of Fluids, Год журнала: 2025, Номер 37(4)

Опубликована: Апрель 1, 2025

Offshore wind energy is a key measure for system decarbonization. resource maps under climate change can provide crucial information future offshore farm development. By integrating numerical weather prediction model simulations, global and long-term observations, this study spatiotemporally assesses the resources in Guangdong–Hong Kong–Macau Greater Bay Area change. The spatial distributions of speed, power density, capacity factor at heights 80, 100, 150, 200 m are evaluated 1-km resolution, impacts on these parameters 80 years (2021–2100) emission scenarios investigated. It found that speed may slightly (generally up to ±2% ±4%, respectively) most parts domain climate. Furthermore, validation against observations suggests generated satisfactorily reproduce regime, with percent biases less than 5% 10% density. research outcomes expected facilitate site selection economic analysis projects region.

Язык: Английский

Процитировано

0

Analysis of the synergistic effects in China's marine economy-technology-environment system DOI
Mengqi Ding, Yuchen Wang, Yue Qi

и другие.

Environment Development and Sustainability, Год журнала: 2025, Номер unknown

Опубликована: Апрель 29, 2025

Язык: Английский

Процитировано

0

Tracking offshore wind technological evolution through patent text mining: A macro-micro analysis framework DOI
Quande Qin, Lan Luo, Fucheng Liao

и другие.

Ocean & Coastal Management, Год журнала: 2025, Номер 269, С. 107780 - 107780

Опубликована: Июнь 4, 2025

Язык: Английский

Процитировано

0

Benchmarking and contribution analysis of carbon emission reduction for renewable power systems considering multi-factor coupling DOI
Yamin Yan,

He Chang,

Jie Yan

и другие.

Energy, Год журнала: 2024, Номер 302, С. 131674 - 131674

Опубликована: Май 19, 2024

Язык: Английский

Процитировано

2

The Environmental and Public Health Benefits of Offshore Wind Power Deployment in China DOI
Zhongrui Ren, Sufang Zhang,

Huijuan Liu

и другие.

Environmental Science & Technology, Год журнала: 2024, Номер unknown

Опубликована: Дек. 29, 2024

With the rapid decline in levelized cost, offshore wind power offers a new option for clean energy transition of sector China's coastal areas. Here, we develop system capacity expansion and operation optimization model to simulate penetration China quantify associated health effects. We find that has great potential mitigating negative impacts existing coal-fired emissions. By deploying cost-competitive power, it is projected by 2050, would contribute 2% 5% (306–654 TWh) total electricity generation, cumulatively reducing pollutants from 3% preventing 165,000 premature deaths. Notably, with implementation incentive policies, scale deployment expands two three times, yielding public benefits far outweigh costs policy implementation.

Язык: Английский

Процитировано

2

Avrupa Birliği Ülkelerinin İklim Değişikliğine Uyum Performanslarının Bütünleşik MEREC-MOORA Yaklaşımıyla Değerlendirilmesi DOI Open Access
Hasan Emin Gürler

Optimum Ekonomi ve Yönetim Bilimleri Dergisi, Год журнала: 2024, Номер 11(2), С. 366 - 393

Опубликована: Июль 1, 2024

1980’li yılların sonlarından itibaren en önemli küresel sorunlardan birisi iklim değişikliği olmuştur. İklim değişikliğinin neden olduğu zorlukların üstesinden gelebilmek için değişikliğine uyum stratejilerinin su-enerji-gıda-çevre bağlantısına entegre edilmesi büyük önem taşımaktadır. Özellikle Paris Anlaşması'ndan (2015) sonra riskleri konusunda farkındalık artmış ve giderek artan sayıda ülke karbon veya nötr olma hedefleri yayınlamıştır. Bu bağlamda bu çalışmada, MEREC-MOORA modeliyle Avrupa Birliği ülkelerini performanslarına göre değerlendirmek amaçlanmıştır. Çevre Ajansı tarafından yayımlanan beş kriter, MEREC yöntemiyle ağırlıklandırılmış AB ülkeleri MOORA tekniği ile sıralanmıştır. sonuçlarına kriter “kuraklığın ekosistemler üzerindeki etkisi”dir. yöntemi göre, performansı yüksek olan Güney Kıbrıs’tır. Ayrıca çalışmada önerilen modelin sonuçlarının tutarlılığı iki aşamalı duyarlılık analiziyle test edilmiştir.

Процитировано

0

Component-level Wind Farm Maintenance Considering Seasonal Uncertainties DOI
Han Zhang, Zhigang Tian, Ming J. Zuo

и другие.

Опубликована: Июнь 17, 2024

Язык: Английский

Процитировано

0