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Selected Papers from NEFES2021: The 6th International Conference on New Energy and Future Energy Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".

Deadline for manuscript submissions: closed (30 March 2022) | Viewed by 8034

Special Issue Editors


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Guest Editor
School of Resources and Safety Engineering, Central South University, Changsha, China
Interests: construction engineering; cement-based materials; concrete technologies; cement; first-principles calculations; machine learning

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Guest Editor
1. Department of Electronics, Telecommunications and Energy, Valahia University of Targoviste, 130004 Targoviste, Romania
2. Istituto Nazionale di Ricerca Metrologica—INRIM, 10135 Torino, Italy
Interests: thermoelectric systems; heat and mass transfer; thermal comfort
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Guest Editor
Faculty of Electrical Engineering, Warsaw University of Technology, 00-661 Warszawa, Poland
Interests: electronic engineering; protection; electrical power engineering; electrical and lightning protection

Special Issue Information

Dear Colleagues,

NEFES is an international conference held annually since 2016. In the past five years, it has been supported by many institutions and publishers such as Macau University of Science and Technology, Yunnan Normal University, International Association for Hydrogen Energy, IOP Publishing, etc. and attracted more than 500 participants from all over the world. The 6th International Conference on New Energy and Future Energy Systems (NEFES 2021) will be held on 1–4 November 2021 in Xi’an, a popular travel destination with abundant historical and cultural heritage. The aim is to provide an opportunity and a unique platform for scientists, researchers, and scholars to share their latest achievements and discuss possible challenges in terms of new energy and future energy systems. The conference targets a thrilling and wide range of topics related to new energy, new energy material, intergrid, etc. Some of the topics included are:

  • Solar energy
  • Fusion energy
  • Geothermal energy
  • Advanced energy technologies
  • New energy devices
  • Smart grid
  • Smart grid load and energy management
  • Smart grid architectures and models
  • Networking and computing issues in smart grid
  • Energy conversion technologies
  • Thermal energy storage
  • Energy harvesting
  • Electric vehicle monitoring and control
  • Material for energy saving and sustainability
  • Ni/MH battery materials
  • Fuel cell materials
  • Solar cell materials
  • Thermoelectrics, magnetocalorics, piezoelectronics

It is hoped that the selected papers will provide readers with interesting examples of current research on the most outstanding theoretical frameworks in energies. This opportunity is also advertised on the conference web sites: www.intergridconf.org/.

Prof. Dr. Chongchong Qi
Dr. Diana Enescu
Dr. Tomasz Kisielewicz
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. Energies is an international peer-reviewed open access semimonthly 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 2600 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

  • New energy
  • Intergrid
  • New energy material
  • Energy conversion
  • Storage
  • Smart grid
  • Renewable energy
  • Electric vehicles

Published Papers (3 papers)

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Research

29 pages, 14353 KiB  
Article
Solar Energy Resources and Photovoltaic Power Potential of an Underutilised Region: A Case of Alice, South Africa
by Ochuko Kelvin Overen and Edson Leroy Meyer
Energies 2022, 15(13), 4646; https://0-doi-org.brum.beds.ac.uk/10.3390/en15134646 - 24 Jun 2022
Cited by 8 | Viewed by 2893
Abstract
Despite South Africa’s international recognition in solar energy investments, the country is struggling to meet its growing energy needs. In recent years, national blackouts and load shedding have been a recurring experience in the country. The high cost of electrification and the overstrained [...] Read more.
Despite South Africa’s international recognition in solar energy investments, the country is struggling to meet its growing energy needs. In recent years, national blackouts and load shedding have been a recurring experience in the country. The high cost of electrification and the overstrained national grid have left several rural communities without access to electricity. This study aims to explore the solar energy resources and performance of a 3.8 kWp stand-alone residential photovoltaic (PV) power system in one of the underutilised regions in South Africa. The study mainly uses ground measured solar radiation data to evaluate the solar resources of Alice and compare them with those in other parts of the world with mega solar PV projects. The components of solar radiation considered are global horizontal irradiance (GHI), direct normal irradiance (DNI), and diffuse horizontal irradiance (DHI). The average total daily GHI, DNI, and DHI of Alice were 4.98, 5.74, and 1.44 kWh/m2. Clear sky conditions were found to occur on 233 days in the monitoring year, resulting in an average total daily GHI of 6.13 kWh/m2, DNI of 6.73 kWh/m2 and DHI of 0.17 kWh/m2. The findings indicated that Alice possesses abundant solar resources for PV and concentrated solar power generation, and is comparable to other regions internationally. Full article
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27 pages, 8226 KiB  
Article
Integrated Carbon-Capture-Based Low-Carbon Economic Dispatch of Power Systems Based on EEMD-LSTM-SVR Wind Power Forecasting
by Can Ding, Yiyuan Zhou, Qingchang Ding and Kaiming Li
Energies 2022, 15(5), 1613; https://0-doi-org.brum.beds.ac.uk/10.3390/en15051613 - 22 Feb 2022
Cited by 22 | Viewed by 2403
Abstract
The optimal utilization of wind power and the application of carbon capture power plants are important measures to achieve a low-carbon power system, but the high-energy consumption of carbon capture power plants and the uncertainty of wind power lead to low-carbon coordination problems [...] Read more.
The optimal utilization of wind power and the application of carbon capture power plants are important measures to achieve a low-carbon power system, but the high-energy consumption of carbon capture power plants and the uncertainty of wind power lead to low-carbon coordination problems during load peaks. To address these problems, firstly, the EEMD-LSTM-SVR algorithm is proposed to forecast wind power in the Belgian grid in order to tackle the uncertainty and strong volatility of wind power. Furthermore, the conventional thermal power plant is transformed into an integrated carbon capture power plant containing split-flow and liquid storage type, and the low-carbon mechanism of the two approaches is adequately discussed to give the low-carbon realization mechanism of the power system. Secondly, the mathematical model of EEMD-LSTM-SVR algorithm and the integrated low-carbon economic dispatch model are constructed. Finally, the simulation is verified in a modified IEEE-39 node system with carbon capture power plant. Compared with conventional thermal power plants, the carbon emissions of integrated carbon capture plants will be reduced by 78.248%; the abandoned wind of split carbon capture plants is reduced by 53.525%; the total cost of wind power for dispatch predicted using the EEMD-LSTM-SVR algorithm will be closer to the actual situation, with a difference of only USD 60. The results demonstrate that the dispatching strategy proposed in this paper can effectively improve the accuracy of wind power prediction and combine with the integrated carbon capture power plant to improve the system wind power absorption capacity and operational efficiency while achieving the goal of low carbon emission. Full article
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21 pages, 14391 KiB  
Article
A Distributionally Robust Chance-Constrained Unit Commitment with N-1 Security and Renewable Generation
by Qiangyi Sha, Weiqing Wang and Haiyun Wang
Energies 2021, 14(18), 5618; https://0-doi-org.brum.beds.ac.uk/10.3390/en14185618 - 07 Sep 2021
Cited by 1 | Viewed by 1253
Abstract
With the increasing penetration of renewable energy generation, one of the major challenges is the problem of how to express the stochastic process of wind power and photovoltaic output as the exact probability density and distribution, in order to improve the security and [...] Read more.
With the increasing penetration of renewable energy generation, one of the major challenges is the problem of how to express the stochastic process of wind power and photovoltaic output as the exact probability density and distribution, in order to improve the security and accuracy of unit commitment results, a distributed robust security-constrained optimization model based on moment uncertainty is proposed, in which the uncertainty of wind and photovoltaic power is captured by two uncertain sets of first- and second-order moments, respectively. The two sets contain the probability distribution of the forecast error of the wind and photovoltaic power, and in the model, the energy storage is considered. In order to solve the model effectively, firstly, based on the traditional chance-constrained second-order cone transformation, according to the first- and second-order moments polyhedron expression of the distribution set, a cutting plane method is proposed to solve the distributed robust chance constraints. Secondly, the modified IEEE-RTS 24 bus system is selected to establish a simulation example, an improved generalized Benders decomposition algorithm is developed to solve the model to optimality. The results show that the unit commitment results with different emphasis on economy and security can be obtained by setting different conservative coefficients and confidence levels and, then, provide a reasonable decision-making basis for dispatching operation. Full article
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