Process and Modelling of Renewable and Sustainable Energy Sources
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".
Deadline for manuscript submissions: closed (15 September 2024) | Viewed by 4678
Special Issue Editors
Interests: power system planning; renewable energy integration; energy policy; electrical power engineering; power engineering; power systems modelling; renewable energy; electrical engineering
Special Issues, Collections and Topics in MDPI journals
Interests: energy system modeling; carbon footprint analysis; EVs and hydrogen
Interests: power system operation; carbon emission measuring; Energy storage
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The low-carbon transition of power systems plays a vital role in achieving the carbon neutrality target, as it takes an essential position in carbon emission. To achieve the low-carbon transition, renewable and sustainable energy has experienced rapid progress, and this developing trend will continue in the next few decades. However, due to the intermittence and uncertainty of renewable energy, the rapid growth of renewable and sustainable energy brings great challenges to power system safety and reliability. Therefore, the research on renewable and sustainable energy sources modelling and the investigation into the process of renewable energy integration are gaining attention.
The researchers and practitioners have made great efforts in finding effective ways to achieve power system low-carbon transitions through renewable and sustainable energy integration. However, there remains still a long journey for us to fill the gap between theory and practice. Thus, to further disseminate the methods in this area, we want to organise a Special Issue discussing the “Process and Modelling of Renewable and Sustainable Energy Sources”.
This Special Issue on “Process and Modelling of Renewable and Sustainable Energy Sources” aims to cover recent advances in the modelling, analysis, and optimisation of renewable energy and the power system with a high proportion being renewable. Topics include, but are not limited to, methods and/or the application in the following areas:
- Modelling of renewable and sustainable energy.
- Analysis of the integration process of renewable.
- Low-carbon operation of power systems.
- Power system planning towards the low-carbon
- Carbon reduction method for the power system.
Dr. Ershun Du
Dr. Tianduo Peng
Dr. Yaowang Li
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- renewable and sustainable energy
- power system
- modelling
- process analysis
- optimisation
- low-carbon transistion
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