Search for Topics:
Title/Keyword
Journal
Submission Status
Category
 
 
Topics
Research Frontier in Renewable Energy Systems
Propose a Topic

Topic Menu

► Topic Menu

Topic Editors

School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia
Department of Infrastructure Engineering, Faculty of Engineering and IT Engineering Block C, Building 174, The University of Melbourne, Melbourne, VIC 3010, Australia
share announcement

Research Frontier in Renewable Energy Systems

Abstract submission deadline
closed (10 October 2023)
Manuscript submission deadline
closed (10 December 2023)
Viewed by
3885

Topic Information

Dear Colleagues,

The burning of fossil fuels is responsible for the accumulation of CO2 emissions in the atmosphere. In addition, the rate of fossil fuel production is declining. The global scientific community has committed to exploring and developing technology related to the generation of renewable energy sources to address these challenges. In addition to experimental investigations, entropy and exergy analysis is a suitable approach to evaluate these technologies’ overall performance so long as the proper determination of the model delivers an accurate prediction of the process performance. Furthermore, the thermodynamic approach is economically attractive and time-effective. Novel renewable energy conversion technology shows promise in its ability to meet energy demands in an environmentally friendly manner. This Topic aims to facilitate the dissemination of advanced research related to the process of converting renewable sources into energy. Original research articles and review articles are welcome.

Prof. Dr. T M Indra Mahlia
Dr. Behzad Rismanchi
Topic Editors

Keywords

  • renewable energy systems
  • econometric model of entropy
  • renewable energy forecasting
  • entropy and exergy of renewable energy

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Energies
energies 		3.0 6.2 2008 16.8 Days CHF 2600
Entropy
entropy 		2.1 4.9 1999 22.3 Days CHF 2600
Thermo
thermo 		- 2.1 2021 22.8 Days CHF 1000

Preprints.org is a multidisciplinary platform offering a preprint service designed to facilitate the early sharing of your research. It supports and empowers your research journey from the very beginning.

MDPI Topics is collaborating with Preprints.org and has established a direct connection between MDPI journals and the platform. Authors are encouraged to take advantage of this opportunity by posting their preprints at Preprints.org prior to publication:

  1. Share your research immediately: disseminate your ideas prior to publication and establish priority for your work.
  2. Safeguard your intellectual contribution: Protect your ideas with a time-stamped preprint that serves as proof of your research timeline.
  3. Boost visibility and impact: Increase the reach and influence of your research by making it accessible to a global audience.
  4. Gain early feedback: Receive valuable input and insights from peers before submitting to a journal.
  5. Ensure broad indexing: Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.

Published Papers (1 paper)

Order results
Result details
Journals
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
20 pages, 4203 KiB  
Article
Dynamic Risk Assessment of Voltage Violation in Distribution Networks with Distributed Generation
by Wei Hu, Fan Yang, Yu Shen, Zhichun Yang, Hechong Chen and Yang Lei
Entropy 2023, 25(12), 1662; https://doi.org/10.3390/e25121662 - 15 Dec 2023
Cited by 1 | Viewed by 2364
Abstract
In response to the growing demand for economic and social development, there has been a significant increase in the integration of distributed generation (DG) into distribution networks. This paper proposes a dynamic risk assessment method for voltage violations in distribution networks with DG. [...] Read more.
In response to the growing demand for economic and social development, there has been a significant increase in the integration of distributed generation (DG) into distribution networks. This paper proposes a dynamic risk assessment method for voltage violations in distribution networks with DG. Firstly, considering the characteristics of random variables such as load and DG, a probability density function estimation method based on boundary kernel density estimation is proposed. This method accurately models the probability of random variables under different time and external environmental conditions, such as wind speed and global horizontal radiation. Secondly, to address the issue of correlated DG in the same region, an independent transformation method based on the Rosenblatt inverse transform is proposed, which enhances the accuracy of probabilistic load flow. Thirdly, a voltage violation severity index based on the utility function is proposed. This index, in combination with probabilistic load flow results, facilitates the quantitative assessment of voltage violation risks. Finally, the accuracy of the proposed method is verified on the IEEE-33 system. Full article
(This article belongs to the Topic Research Frontier in Renewable Energy Systems)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop