From public policy towards the green energy transition: Do economic freedom, economic globalization, environmental policy stringency, and material productivity matter? DOI
Mehmet Aydın, Tunahan Değirmenci, Azad Erdem

и другие.

Energy, Год журнала: 2024, Номер 311, С. 133404 - 133404

Опубликована: Окт. 10, 2024

Язык: Английский

Renewable energy transition and regional integration: Energizing the pathway to sustainable development DOI
Atta Ullah, Haitham Nobanee, Saif Ullah

и другие.

Energy Policy, Год журнала: 2024, Номер 193, С. 114270 - 114270

Опубликована: Авг. 5, 2024

Язык: Английский

Процитировано

17

SCAPS-1D Simulation for Device Optimization to Improve Efficiency in Lead-Free CsSnI3 Perovskite Solar Cells DOI Creative Commons
Hyunjae Park,

Hyojung Son,

Byoung-Seong Jeong

и другие.

Inorganics, Год журнала: 2024, Номер 12(4), С. 123 - 123

Опубликована: Апрель 21, 2024

In this study, a novel systematic analysis was conducted to explore the impact of various parameters, including acceptor density (NA), individual layer thickness, defect density, interface and metal electrode work function, on efficiency within FTO/ZnO/CsSnI3/NiOx/Au perovskite solar cell structure through SCAPS-1D (Solar Cell Capacitance Simulator in 1 Dimension) simulation. ZnO served as electron transport (ETL), CsSnI3 absorption (PAL), NiOx hole (HTL), all contributing optimization device performance. To achieve optimal power conversion (PCE), we determined ideal PAL (NA) be 2 × 1019 cm−3 thicknesses 20 nm for ETL (ZnO), 700 (CsSnI3), 10 HTL (NiOx), with remaining Au. As result process, increased from 11.89% 23.84%. These results are expected contribute performance enhancement eco-friendly, lead-free inorganic hybrid cells Sn-based PAL.

Язык: Английский

Процитировано

16

Sol-gel auto-combustion synthesis and characterization of Eu2CrMnO6 nanostructures as a potential electrochemical hydrogen storage material DOI
Vahid Rahimkhoei, Masood Hamadanian, Masoud Salavati‐Niasari

и другие.

International Journal of Hydrogen Energy, Год журнала: 2025, Номер 102, С. 247 - 259

Опубликована: Янв. 9, 2025

Язык: Английский

Процитировано

3

Strain matters: Enhancing the hydrogenation properties of Mg₂CoH₅ through multiaxial approaches DOI
Ikram Belkoufa, Abdelmajid Assila, Amine Alaoui‐Belghiti

и другие.

International Journal of Hydrogen Energy, Год журнала: 2025, Номер 105, С. 1114 - 1122

Опубликована: Янв. 29, 2025

Язык: Английский

Процитировано

3

Estimating the hydrogen adsorption in depleted shale gas reservoirs for kerogens in underground hydrogen storage using machine learning algorithms DOI
Grant Charles Mwakipunda, Mouigni Baraka Nafouanti,

AL-Wesabi Ibrahim

и другие.

Fuel, Год журнала: 2025, Номер 388, С. 134534 - 134534

Опубликована: Фев. 5, 2025

Язык: Английский

Процитировано

3

Pathway towards decarbonization: how do renewable energy, natural gas consumption trade and monetary policy influence this pursuit? DOI
Hailin Mu, Muhammad Ramzan, Abdelmohsen A. Nassani

и другие.

International Journal of Sustainable Development & World Ecology, Год журнала: 2025, Номер unknown, С. 1 - 16

Опубликована: Янв. 2, 2025

Climate change, fueled by consumption patterns, poses a profound challenge to the global community. In this context, trade, energy, and monetary policies emerge as pivotal instruments in reshaping positioning them indispensable tools pursuit of decarbonization. However, significant gap remains literature, with few studies thoroughly investigating their critical influence on driving Against backdrop, study explores how trade policy, renewable natural gas CO2 emissions United States, using data from 1988M1 2022M12. The research employs several advanced wavelet uncover hidden relationships between these variables that conventional techniques cannot identify. results coherence indicate that, short medium term, promotes emissions, no effect long term. Additionally, energy exhibits positive impact term; however, it demonstrates negative correlation Monetary policy is positively correlated while relationship becomes negative. also finds has weaker correlations terms. These findings are further validated results. time-frequency causality analysis uncovers feedback its drivers at different time scales. Based findings, suggests recommendations achieving

Язык: Английский

Процитировано

2

Regional synergy between green technology innovation and low carbon development in China: A quantitative study of provinces and economic belts DOI
Luote Dai, Aimei Yang, Song Gang

и другие.

Energy Reports, Год журнала: 2025, Номер 13, С. 1085 - 1094

Опубликована: Янв. 5, 2025

Язык: Английский

Процитировано

2

Enhancing Photovoltaic System Efficiency through a Digital Twin Framework: A Comprehensive Modeling Approach DOI Creative Commons
Abdul-Kadir Hamid, Mena Maurice Farag, Mousa I. Hussein

и другие.

International Journal of Thermofluids, Год журнала: 2025, Номер 26, С. 101078 - 101078

Опубликована: Янв. 12, 2025

Язык: Английский

Процитировано

2

Exploring Geothermal Energy as a Sustainable Source of Energy: A systemic Review DOI Creative Commons

Charity M. Nkinyam,

Chika Oliver Ujah, Christian O. Asadu

и другие.

Unconventional Resources, Год журнала: 2025, Номер unknown, С. 100149 - 100149

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

2

AI-Based Metamaterial Design DOI Creative Commons
Ece Tezsezen, Defne Yigci, Abdollah Ahmadpour

и другие.

ACS Applied Materials & Interfaces, Год журнала: 2024, Номер 16(23), С. 29547 - 29569

Опубликована: Май 29, 2024

The use of metamaterials in various devices has revolutionized applications optics, healthcare, acoustics, and power systems. Advancements these fields demand novel or superior that can demonstrate targeted control electromagnetic, mechanical, thermal properties matter. Traditional design systems methods often require manual manipulations which is time-consuming resource intensive. integration artificial intelligence (AI) optimizing metamaterial be employed to explore variant disciplines address bottlenecks design. AI-based also enable the development by parameters cannot achieved using traditional methods. application AI leveraged accelerate analysis vast data sets as well better utilize limited via generative models. This review covers transformative impact for current challenges, emerging fields, future directions, within each domain are discussed.

Язык: Английский

Процитировано

14