Fueling the future: A comprehensive review of hydrogen energy systems and their challenges

TT Le, P Sharma, BJ Bora, VD Tran, TH Truong… - International Journal of …, 2024‏ - Elsevier
This comprehensive study assesses the current state of the hydrogen energy system and
investigates its potential to transform the global energy landscape while addressing …

[HTML][HTML] Oil and gas pathway to net-zero: Review and outlook

Z Wang, S Li, Z **, Z Li, Q Liu, K Zhang - Energy Strategy Reviews, 2023‏ - Elsevier
Global climate changes urge prompt energy transition for less carbon emissions, from
traditional fossil fuels to renewable and sustainable clean energy. However, in reality, the …

Dynamic connectedness among climate change index, green financial assets and renewable energy markets: Novel evidence from sustainable development …

DB Lorente, KS Mohammed, J Cifuentes-Faura… - Renewable Energy, 2023‏ - Elsevier
This paper investigates the connectedness among the climate change index, green financial
assets, renewable energy markets, and geopolitical risk index from June 1, 2012 to June 13 …

Recent advances and future perspectives in carbon capture, transportation, utilization, and storage (CCTUS) technologies: A comprehensive review

K Zhao, C Jia, Z Li, X Du, Y Wang, J Li, Z Yao, J Yao - Fuel, 2023‏ - Elsevier
Carbon capture, transport, utilization, and storage (CCTUS) technologies are widely
regarded as crucial solutions for mitigating the impacts of climate change. This review paper …

Recent advances in machine learning research for nanofluid-based heat transfer in renewable energy system

P Sharma, Z Said, A Kumar, S Nizetic, A Pandey… - Energy & …, 2022‏ - ACS Publications
Nanofluids have gained significant popularity in the field of sustainable and renewable
energy systems. The heat transfer capacity of the working fluid has a huge impact on the …

A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior

E Yaghoubi, E Yaghoubi, A Khamees, D Razmi… - … Applications of Artificial …, 2024‏ - Elsevier
Abstract Machine learning (ML) and deep learning (DL) have enabled algorithms to
autonomously acquire knowledge from data, facilitating predictive and decision-making …

Optimal operation of pumped hydro storage-based energy systems: A compendium of current challenges and future perspectives

RJ Mahfoud, NF Alkayem, Y Zhang, Y Zheng… - … and Sustainable Energy …, 2023‏ - Elsevier
Over the past decade, energy storage in renewable energy-dominated systems has
received increasing interest. Effective energy storage has the potential to enhance the …

A review of the hydrogen fuel path to emission reduction in the surface transport industry

A Roy, S Pramanik - International Journal of Hydrogen Energy, 2024‏ - Elsevier
The surface transport industries are under enormous pressure because, the world leaders
have emphasized the requirement to restrict global warming to 1.5° Celsius in United …

Revisiting the environmental Kuznetz curve and pollution haven hypothesis in N-11 economies: Fresh evidence from panel quantile regression

P Esmaeili, DB Lorente, A Anwar - Environmental Research, 2023‏ - Elsevier
Human activities in recent decades have severely affected environmental quality, and CO 2
emissions have irreparable consequences on human health and the survival of the earth …

Engine emissions with air pollutants and greenhouse gases and their control technologies

A Fayyazbakhsh, ML Bell, X Zhu, X Mei… - Journal of Cleaner …, 2022‏ - Elsevier
Diesel and gasoline are the most used fossil fuels due to their high energy release and low
cost for engines. However, the emission of air pollutants and greenhouse gases has caused …