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Advance in Renewable Energy and Power Generation Technology

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: 31 October 2026 | Viewed by 2199

Special Issue Editor


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Guest Editor
1. Department of Electrical Power Engineering, Faculty of Electrical Engineering and Informatics, Technical University of Kosice, Letná, 1/9, 04001 Kosice, Slovakia
2. Department of Electrical Energetics, Institute of Automation and Energy Systems, Kandó Kálmán Faculty of Electrical Engineering, Obuda University, 1034 Budapest, Hungary
Interests: renewable energy integration; power system operation and control; microgrids and smart grids; energy efficiency and technology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue, titled "Advance in Renewable Energy and Power Generation Technology," is focused on gathering the latest research on cutting edge innovations in the field. Its purpose is to create a consolidated resource that moves beyond conventional applications to explore novel and integrated solutions for a sustainable energy future, emphasizing efficiency, scalability, and integration. The scope is broad, covering new materials, renewable energy sources, energy storage systems, smart grid integration, economic viability, policy frameworks, and life-cycle analyses. This Special Issue will supplement the existing literature by synthesizing interdisciplinary research that often remains fragmented, highlighting emerging trends like AI for grid optimization and novel battery chemistries, and creating a forward-looking compendium to address the challenges of a rapidly evolving energy landscape. As part of a journal dedicated to sustainability, this Special Issue will contribute significantly by providing concrete, measurable insights. Papers will define and quantify sustainability using metrics like Levelized Cost of Energy (LCOE) and Life-Cycle Assessment (LCA) and will demonstrate how new technologies allow for more precise measurement and monitoring. The Special Issue will also showcase real-world applications in off-grid communities and urban grids, while dedicating a key section to the policy instruments and legal frameworks most effective in promoting the adoption of these technologies, providing a crucial link between technological potential and societal implementation.

Dr. Zsolt Čonka
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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. Sustainability 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 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 energy
  • power generation technology
  • sustainability
  • energy storage
  • smart grid
  • technological innovation
  • life-cycle assessment
  • economic viability

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Published Papers (3 papers)

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Research

15 pages, 3318 KB  
Article
Model Predictive Control of Energy Storage System for Suppressing Bus Voltage Fluctuation in PV–Storage DC Microgrid
by Ming Chen, Shui Liu, Zhaoxu Luo and Kang Yu
Sustainability 2026, 18(8), 3903; https://doi.org/10.3390/su18083903 - 15 Apr 2026
Viewed by 406
Abstract
Ensuring DC bus voltage stability is a key enabler for the sustainable development of photovoltaic-storage DC microgrids (PV–storage DC MGs), which are regarded as critical infrastructure for high-penetration renewable energy utilization. However, the inherent randomness of PV power generation seriously threatens this stability. [...] Read more.
Ensuring DC bus voltage stability is a key enabler for the sustainable development of photovoltaic-storage DC microgrids (PV–storage DC MGs), which are regarded as critical infrastructure for high-penetration renewable energy utilization. However, the inherent randomness of PV power generation seriously threatens this stability. This paper proposes a novel model predictive control (MPC) scheme for the energy storage system (ESS) to mitigate voltage fluctuations and enhance system stability. To improve the model precision, a forgetting-factor-augmented recursive least squares (RLS) algorithm is employed for online identification and correction of the estimated equivalent impedance between the ESS and the DC bus. Rigorous Lyapunov stability analysis is performed to obtain the sufficient stability conditions and quantitative tuning rules for the weighting coefficients, which transforms the qualitative parameter selection into a theoretical constrained optimization. The state of charge (SOC) of the ESS is set as a security constraint to avoid excessive charge/discharge and extend battery service life. A distinguished advantage of the proposed strategy is that it generates ESS power commands solely based on local measurements, eliminating the dependence on external communication and improving system reliability. Simulation results on MATLAB R2021b/Simulink and hardware-in-the-loop experiments based on RT-Lab and DSP demonstrate that the proposed MPC method significantly reduces the DC bus voltage deviation, accelerates the dynamic recovery process, and maintains stable ESS operation under both normal PV fluctuations and sudden PV outage conditions. Full article
(This article belongs to the Special Issue Advance in Renewable Energy and Power Generation Technology)
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20 pages, 7602 KB  
Article
Adaptive Robust Dispatch of Integrated Energy Systems Considering Variable Hydrogen Blending and Tiered Carbon Trading
by Chipeng Zhen, Xinglong Feng, Jianxin Lei, Dayi Li, Boyuan Wang and Lingzhi Wang
Sustainability 2026, 18(6), 3010; https://doi.org/10.3390/su18063010 - 19 Mar 2026
Viewed by 303
Abstract
To overcome the limitations of static operation modes in traditional cogeneration and the intermittency of renewable energy, this paper proposes a scenario-assisted adaptive robust optimization framework with a dispatch resolution for Integrated Energy Systems (IES). A closed-loop cascading mechanism is established, integrating biomass [...] Read more.
To overcome the limitations of static operation modes in traditional cogeneration and the intermittency of renewable energy, this paper proposes a scenario-assisted adaptive robust optimization framework with a dispatch resolution for Integrated Energy Systems (IES). A closed-loop cascading mechanism is established, integrating biomass co-firing, Carbon Capture and Storage (CCS), and Power-to-Gas (P2G) technologies, where captured CO2 reacts with green hydrogen to produce synthetic natural gas, thereby closing the carbon cycle. Specifically, a dynamic model for hydrogen-blending gas turbines is developed, characterizing the thermodynamic performance under variable hydrogen blending ratios (0–20%), which enables the system to adaptively adjust fuel composition in response to real-time fluctuations in wind and solar power. Furthermore, a tiered carbon trading mechanism is introduced to internalize environmental costs and constrain emissions. Simulation results demonstrate that the proposed variable blending strategy effectively mitigates wind curtailment, reducing curtailment costs to 0.31 million ¥, and creates a “double-peak, double-valley” carbon emission profile, reducing the net load peak-to-valley difference by 18.5%. The proposed framework achieves a balance between economic efficiency and deep decarbonization, attaining an optimal unit carbon reduction cost of 0.142 ¥/kWh, demonstrating improved economic and environmental performance of dynamic electro-carbon-hydrogen coupling under variable operating conditions. Full article
(This article belongs to the Special Issue Advance in Renewable Energy and Power Generation Technology)
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22 pages, 2823 KB  
Article
Design of Small Wind Turbine Blade Based on Optimal Airfoils S4110 and S1012 at Low Reynolds Numbers and Wind Speeds
by Van Hung Bui, Minh Phap Vu, Quang Sang Le, Manh Quang Huy Than, Quoc Doan Pham and Quang Giap Dinh
Sustainability 2025, 17(24), 11243; https://doi.org/10.3390/su172411243 - 15 Dec 2025
Viewed by 1143
Abstract
Wind turbines play an important role for renewable energy generation related to sustainable development. Selection of a suitable blade shape is a key factor in wind turbine design, especially in low wind speed conditions such as urban areas. In addition, two airfoil models [...] Read more.
Wind turbines play an important role for renewable energy generation related to sustainable development. Selection of a suitable blade shape is a key factor in wind turbine design, especially in low wind speed conditions such as urban areas. In addition, two airfoil models of the S-series, S4110 and S1012, are often selected based on their suitable aerodynamic properties with low Reynolds numbers, high applicability, and stable performance. However, there is no research design for wind turbine blades based on S4110 and S1012 under low wind conditions in countries around the world. The angle of attack was adjusted to observe variations in the key aerodynamic parameters while applying appropriate boundary conditions for different regions. The study results show that the overall performance of the optimized S4110 is better than that of the optimized S1012, particularly at larger angles of attack. The performance of the airfoil S4110 shows a strong improvement after optimization, with the aerodynamic performance from 17.35 at 3 m/s to 50.78 at 5 m/s. This paper proposed the airfoil combination usage of S4110 at the blade tip and S1012 at the blade root to form an optimal hybrid airfoil configuration for wind turbine blade, which can both take advantage of high aerodynamic efficiency in low wind conditions and ensure the necessary mechanical strength and stability for the entire wind turbine blade. The performance of the proposed small wind turbine blade model based on the optimal S4110 and S1012 airfoils was analyzed using the Qblade program. Its purpose is to create a new blade model for small wind turbines that moves beyond conventional applications to explore novel and integrated solutions for a sustainable energy future. Full article
(This article belongs to the Special Issue Advance in Renewable Energy and Power Generation Technology)
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