[HTML][HTML] Charting the path toward a greener world: A review of facilitating and inhibiting factors for carbon neutrality

S Talwar, A Dhir, A Luqman, J Gupta… - Journal of Cleaner …, 2023 - Elsevier
The threat of anthropogenic carbon emissions and the consequent climate risk at the global
level has led to a noticeable surge in academic research in the area. However, the literature …

Industrial Internet of Things (IIoT) and Other Industry 4.0 Technologies in Spare Parts Warehousing in the Oil and Gas Industry: A Systematic Literature Review

N Khan, WD Solvang, H Yu - Logistics, 2024 - mdpi.com
Background: Spare parts warehousing in the oil and gas industry is essential for offshore
production. With the introduction of Industry 4.0 and its subsequent technological tools, new …

A path towards China's energy justice: How does digital technology innovation bring about a just revolution?

S Yang, J Wang, K Dong, Q Jiang - Energy Economics, 2023 - Elsevier
Although digital technology innovation (DTI) is crucial for facilitating the switch to green
energy, it has also caused energy justice issues. Therefore, it is of great significance to study …

[HTML][HTML] Digital economy, financial development and energy transition in Africa: Exploring for synergies and nonlinearities

SS Horvey, J Odei-Mensah, T Moloi, GA Bokpin - Applied Energy, 2024 - Elsevier
The transition to sustainable energy for all is a crucial aspect of the sustainable development
goals, particularly Goal 7, which underscores the need for clean and affordable energy. This …

Smart manufacturing as a strategic tool to mitigate sustainable manufacturing challenges: a case approach

D Kannan, P Gholipour, C Bai - Annals of Operations Research, 2023 - Springer
Due to the manufacturing sector's severe negative impacts on sustainable development,
sustainable manufacturing is gaining more momentum than ever. Despite the advantages of …

[HTML][HTML] Machine Learning for Optimising Renewable Energy and Grid Efficiency

BI Oladapo, MA Olawumi, FT Omigbodun - Atmosphere, 2024 - mdpi.com
This research investigates the application of machine learning models to optimise
renewable energy systems and contribute to achieving Net Zero emissions targets. The …

A novel '3D+ digital twin+ 3D'upscaling strategy for predicting the detailed multi-physics distributions in a commercial-size proton exchange membrane fuel cell stack

F Bai, Z Tang, RJ Yin, HB Quan, L Chen, D Dai… - Applied Energy, 2024 - Elsevier
With the rapid development of proton exchange membrane fuel cell (PEMFC)
commercialization, a comprehensive knowledge of multi-physics fields in large-scale …

[PDF][PDF] Leveraging artificial intelligence for enhanced sustainable energy management

S Kaur, R Kumar, K Singh… - Journal of Sustainable …, 2024 - researchgate.net
The integration of Artificial Intelligence (AI) into sustainable energy management presents a
transformative opportunity to elevate the sustainability, reliability, and efficiency of energy …

An analysis of renewable energy resources and options for the energy transition in Chile

AM Oyarzún-Aravena, J Chen, G Brownbridge… - Applied Energy, 2025 - Elsevier
This study analyses renewable energy resources, infrastructure, and practical options to
accelerate the energy transition and unlock Chile's potential as an exporter of renewable …

Linking smart manufacturing technologies and sustainable corporate performance: evidence from emerging economy

TT Le, HC Le - Operations Management Research, 2024 - Springer
The contemporary business landscape, characterized by rapid fluctuations and intense
competition, has put considerable pressure on enterprises to embrace sustainable …