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Advancements in Sustainable Energy Technologies: Innovations, Integration, and Impact—2nd Edition
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Advancements in Sustainable Energy Technologies: Innovations, Integration, and Impact—2nd Edition

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

Deadline for manuscript submissions: 25 December 2026 | Viewed by 3321

Special Issue Editors

Dr. Sunel Kumar

E-Mail Website
Guest Editor
School of Energy and Power Engineering, Jiangsu University, Zhenjiang 212013, China
Interests: energy and environment; coal/biomass gasification/pyrolysis and CFD simulation; hydrogen; seaweed; hydrothermal
Special Issues, Collections and Topics in MDPI journals
Dr. Dingkun Yuan

E-Mail Website
Guest Editor
College of Energy Environment and Safety Engineering, China Jiliang University, Hangzhou 310018, China
Interests: clean and efficient combustion of fuels, including plasma-assisted combustion; porous media combustion; the combustion of pulverized coal/methane with hydrogen and ammonia
Special Issues, Collections and Topics in MDPI journals
Dr. Xinlu Han

E-Mail Website
Guest Editor
College of New Energy, China University of Petroleum (East China), Qingdao, China
Interests: laminar burning velocity measurement using heat flux method; burner setup for low-speed flame stabilization; rich-side flame structure analyses; model development, validation, and reduction
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to share with you the success of our Special Issue entitled “Advancements in Sustainable Energy Technologies: Innovations, Integration, and Impact”. 

We are now preparing to launch the second volume of this Special Issue, entitled “Advancements in Sustainable Energy Technologies: Innovations, Integration, and Impact—2nd Edition”.

The transition to sustainable energy systems is an urgent global priority for combating climate change and ensuring a sustainable future. As the demand for clean and renewable energy solutions continues to rise, it is essential to explore and showcase the latest advancements in sustainable energy technologies. Therefore, the Energies journal is launching a Special Issue dedicated to "Advancements in Sustainable Energy Technologies: Innovations, Integration, and Impact" to provide a platform for researchers and experts to contribute their groundbreaking research and insights in this critical field.

This Special Issue aims to shed light on cutting-edge research and innovations that can accelerate the adoption and integration of sustainable energy technologies. It will encompass a broad range of topics, including renewable energy sources, energy storage and conversion, smart grid technologies, energy efficiency, the electrification of transportation, environmental impact assessment, policy implications, and societal perspectives.

Researchers, scientists, engineers, and industry experts are invited to submit original research articles, review papers, and technical notes that align with the scope of this Special Issue. Potential topics for submission include (but are not limited to) the following:

  • Novel advancements in solar, wind, geothermal, hydroelectric, biomass, and ocean energy technologies;
  • Breakthroughs in energy storage solutions such as battery technologies, fuel cells, and hydrogen storage;
  • Innovations in smart grid systems, microgrids, and demand response for efficient energy management;
  • Energy-efficient building technologies, industrial process optimization, and sustainable energy conservation strategies;
  • Developments in electric vehicles, charging infrastructure, and intelligent mobility solutions;
  • Life cycle assessment and environmental impact evaluation of sustainable energy systems;
  • Policy frameworks, economic analyses, and social considerations influencing the adoption of sustainable energy technologies.

Dr. Sunel Kumar
Dr. Dingkun Yuan
Dr. Xinlu Han
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 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. 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

  • hydrogen
  • CO2 capture and storage
  • gasification and pyrolysis
  • coal and biomass
  • ammonia conversion
  • bunsen reaction
  • life cycle assessment
  • air pollutant
  • ansys and aspen plus simulation
  • tube furnace and drop tube furnace
  • waste to energy

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Further information on MDPI's Special Issue policies can be found here.

Related Special Issue

Published Papers (4 papers)

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Research

23 pages, 3921 KB  
Article
Thermal Stabilization as a Key to Sustainable Operation of Combustion Engines and Power Plants—Part 1: A Case Study in Integrated Energy System, General Approaches, Hypothesis and Criteria
by Huabing Wen, Andrii Radchenko, Roman Radchenko, Mykola Radchenko, Serhiy Fordui, Anatolii Zubarev, Anatoliy Pavlenko and Viktor Sichko
Energies 2026, 19(10), 2369; https://doi.org/10.3390/en19102369 - 15 May 2026
Viewed by 146
Abstract
The fuel and operation efficiency of combustion engines and power plants as a whole depends essentially on the in-cycle air temperature and drops when the temperature increases. Thermally stabilized, fuel-efficient engine operation at lower air temperatures is possible due to cooling. This can [...] Read more.
The fuel and operation efficiency of combustion engines and power plants as a whole depends essentially on the in-cycle air temperature and drops when the temperature increases. Thermally stabilized, fuel-efficient engine operation at lower air temperatures is possible due to cooling. This can be conducted by heat recovery chillers (HRC) consuming the heat removed from the engine. Such combined production of power, heat, and refrigeration, applied for cooling engine in-cycle air, is considered to be a promising trend in integrated energy systems (IES) and energetics as a whole. The in-cycle trigeneration ensures a sustainable, thermally stabilized, and highly fuel-efficient operation of power plants. Starting from the strong influence of cyclic air temperature, the rate of in-cycle air cooling is considered as the rate of engine thermal stabilization (RS) and calculated as a ratio of the real drop in cyclic air temperatures to their target values when cooling air to the desired temperatures. Such a novel approach allows for assessing the effectiveness of cooling air issuing based on both aspects: fuel efficiency and engine thermal stabilization quantitatively by RS as a unified primary criterion indicator to synthesize a cooling system with heightened RS. A case study of an IES with in-cycle trigeneration confirmed that the developed an innovative gas engine cyclic air cooling system provided increased annual average weighted values of RSavr of about 0.44 with an enlarged duration of engine thermally stabilized operation against 0.24 for a basic typical system. Furthermore, the engine’s thermally stabilized operation due to in-cycle air cooling ensures minimum thermal load fluctuations, caused by air temperature variation. As a result, the concept of sustainable fuel-efficient operation of IES due to in-cycle air cooling and the general approaches, hypotheses, and criteria at its core have been developed. Full article
(This article belongs to the Special Issue Advancements in Sustainable Energy Technologies: Innovations, Integration, and Impact—2nd Edition)
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18 pages, 2770 KB  
Article
Transient Numerical Simulations of Low-Cost KNSB Solid-Propellant Rocket Motors
by Liang Li, Mingsen Yao, Xiangyu Meng, Shichao Tian, Liang Wu, Yifei Chen and Jikui Ma
Energies 2026, 19(10), 2260; https://doi.org/10.3390/en19102260 - 7 May 2026
Viewed by 403
Abstract
Potassium nitrate and sorbitol (KNSB) is a promising low-cost solid propellant for aerospace, characterized by stable combustion and a low pressure exponent. However, its application is constrained by a deficiency in detailed numerical simulation studies for solid rocket motors (SRMs). This study develops [...] Read more.
Potassium nitrate and sorbitol (KNSB) is a promising low-cost solid propellant for aerospace, characterized by stable combustion and a low pressure exponent. However, its application is constrained by a deficiency in detailed numerical simulation studies for solid rocket motors (SRMs). This study develops a comprehensive numerical model for a KNSB SRM, incorporating dynamic mesh techniques to simulate real-time burning surface regression. Steady-state internal flow field analysis proves to be well-validated by literature data, with combustion pressure and thrust errors of 7.7% and 3.2%, respectively. Increasing oxidizer mass fraction from 57.5% to 70% leads to a significant temperature rise of 22.15%. Dynamic simulations reveal that thrust and pressure initially increase after ignition but later decline as the regressing surface reduces gas generation below the nozzle exhaust rate. Comparison with literature yields an average thrust error of 4.9%, with simulated trends matching documented behavior well. This research provides a robust reference for performance prediction and supports further development of KNSB SRMs. Full article
(This article belongs to the Special Issue Advancements in Sustainable Energy Technologies: Innovations, Integration, and Impact—2nd Edition)
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20 pages, 5562 KB  
Article
A Short-Term Photovoltaic Power-Forecasting Model Based on DSC-Chebyshev KAN-iTransformer
by Mo Sha, Shanbao He, Xing Cheng and Mengyao Jin
Energies 2026, 19(1), 20; https://doi.org/10.3390/en19010020 - 19 Dec 2025
Cited by 2 | Viewed by 838
Abstract
Short-term photovoltaic (PV) power forecasting is pivotal for grid stability and high renewable-energy integration, yet existing hybrid deep-learning models face three unresolved challenges: they fail to balance accuracy, computational efficiency, and interpretability; cannot mitigate iTransformer’s inherent weakness in local feature capture (critical for [...] Read more.
Short-term photovoltaic (PV) power forecasting is pivotal for grid stability and high renewable-energy integration, yet existing hybrid deep-learning models face three unresolved challenges: they fail to balance accuracy, computational efficiency, and interpretability; cannot mitigate iTransformer’s inherent weakness in local feature capture (critical for transient events like minute-level cloud shading); and rely on linear concatenation that mismatches the nonlinear correlations between global multivariate trends and local fluctuations in PV sequences. To address these gaps, this study proposes a novel lightweight hybrid framework—DSC-Chebyshev KAN-iTransformer—for 15-min short-term PV power forecasting. The core novelty lies in the synergistic integration of Depthwise Separable Convolution (DSC) for low-redundancy local temporal pattern extraction, Chebyshev Kolmogorov–Arnold Network (Chebyshev KAN) for adaptive nonlinear fusion and global nonlinear modeling, and iTransformer for efficient capture of cross-variable global dependencies. This design not only compensates for iTransformer’s local feature deficiency but also resolves the linear fusion mismatch issue of traditional hybrid models. Experimental results on real-world PV datasets demonstrate that the proposed model achieves an R2 of 0.996, with root mean square error (RMSE) and mean absolute error (MAE) reduced by 19.6–62.1% compared to state-of-the-art baselines (including iTransformer, BiLSTM, and DSC-CBAM-BiLSTM), while maintaining lightweight characteristics (2.04M parameters, 3.90 GFLOPs) for urban edge deployment. Moreover, Chebyshev polynomial weight visualization enables quantitative interpretation of variable contributions (e.g., solar irradiance dominates via low-order polynomials), enhancing model transparency for engineering applications. This research provides a lightweight, accurate, and interpretable forecasting solution, offering policymakers a data-driven tool to optimize urban PV-infrastructure integration and improve grid resilience amid the global energy transition. Full article
(This article belongs to the Special Issue Advancements in Sustainable Energy Technologies: Innovations, Integration, and Impact—2nd Edition)
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21 pages, 943 KB  
Article
Forecasting the Development of Offshore Wind Energy in Poland in the Context of the Energy Transformation and Sustainable Development Goals
by Aurelia Rybak, Aleksandra Rybak and Spas D. Kolev
Energies 2025, 18(20), 5380; https://doi.org/10.3390/en18205380 - 13 Oct 2025
Cited by 1 | Viewed by 1412
Abstract
This article presents the results of research on the potential development of offshore wind energy in Poland. Wind energy generated in offshore farms is intended to be the second pillar (alongside nuclear power) of Poland’s energy transition, creating the foundation for a zero-emission [...] Read more.
This article presents the results of research on the potential development of offshore wind energy in Poland. Wind energy generated in offshore farms is intended to be the second pillar (alongside nuclear power) of Poland’s energy transition, creating the foundation for a zero-emission energy system. The authors constructed a neural network that allowed them to forecast the development of the installed offshore energy capacity for Poland by 2030. For this purpose, the factors that have the greatest impact on the development of wind energy in Poland were identified. This knowledge will facilitate the development of state policy consistent with the Sustainable Development Goals (SDGs) and the European Green Deal. Since Poland currently does not have installed offshore wind energy capacity, Germany was used as a benchmark to train the model. The research results fill the identified gap: to date, forecasts of offshore development in Poland based on a model trained on German data have not been presented in the literature. The research results show that by 2030, Poland can achieve the goals set by the United Nations, the European Union, and the Polish Energy Policy 2040 (PEP2040). The PEP2040 assumes that Poland should have 5.9 GW of energy installed in offshore wind farms in the Baltic Sea by 2030. The forecast indicates that this will be approximately 5.3 GW, with the difference between these values remaining within the model’s margin of error. Full article
(This article belongs to the Special Issue Advancements in Sustainable Energy Technologies: Innovations, Integration, and Impact—2nd Edition)
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