Clean and Low Carbon Energy, 3rd Edition

Topic Information

Dear Colleagues,

This is the third edition of the previous successful topic “Clean and Low Carbon Energy”.

The rapid growth of the national economy has relied heavily on traditional fossil fuels like coal, oil, and natural gas. However, these energy sources cause environmental pollution, global warming, and economic security risks. To address these challenges, it is essential to break through key bottlenecks related to pollutants, carbon emissions, and energy-grade loss, and to develop a clean, low carbon energy system based on renewables such as solar, wind, and geothermal energy. This transition is vital for environmental protection and energy innovation.

Research in clean and low carbon energy has advanced significantly in the past decade and continues to drive the development of other renewable energy sources. However, there are still challenges in applying new theories, methods, and meeting emerging needs. This topic aims to enhance scientific and multidisciplinary work, particularly in improving clean energy systems. We also encourage contributions integrating Big Data and Cognitive Computing, which are transforming energy management through optimization, predictive analytics, and real-time decision-making, crucial for boosting energy efficiency in buildings, industries, and the environment. We invite submissions on innovative developments, reviews, case studies, and analyses in the following areas:

• Renewable energy resources and technologies
• Renewable energy harvesting and conversion
• Energy systems and efficiency improvement
• Advanced energy technologies
• Energy storage and applications
• Energy and buildings
• Energy use in industry
• Energy and the environment
• Energy and nanotechnology
• Energy management, policy, and economics
• Big data in energy analytics
• Cognitive computing for energy control
• Data-driven renewable energy integration
• AI and cognitive computing for energy efficiency.

Dr. Ruitong Yang
Prof. Dr. Dong Li
Prof. Dr. Fuqiang Wang
Prof. Dr. Zhonghao Rao
Prof. Dr. Chao Shen
Prof. Dr. Changyu Liu
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Big Data and Cognitive Computing BDCC	4.4	11.4	2017	23.1 Days	CHF 1800	Submit
Buildings buildings	3.1	5.6	2011	15.1 Days	CHF 2600	Submit
Clean Technologies cleantechnol	4.7	9.4	2019	20 Days	CHF 1800	Submit
Energies energies	3.2	8.3	2008	16.8 Days	CHF 2600	Submit
Processes processes	2.8	5.7	2013	14.9 Days	CHF 2400	Submit
Sustainability sustainability	3.3	8.9	2009	17.9 Days	CHF 2400	Submit

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