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Advances in Sustainable Energy Technologies and Energy Systems

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

Deadline for manuscript submissions: 31 January 2026 | Viewed by 5677

Special Issue Editors


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Guest Editor
Departamento de Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial, Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid (UPM), 28040 Madrid, Spain
Interests: sustainable engineering; artificial intelligence; internet of things

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Guest Editor
School of Experimental Sciences and Technology, University Rey Juan Carlos, 28933 Móstoles, Spain
Interests: photochemical and advanced oxidation processes; low-cost technologies for water purification; decentralized technologies for drinking water

Special Issue Information

Dear Colleagues,

In light of the current climate change and depletion of natural resources, advancements in sustainable energy technology and energy systems are imperative. The search for cost-effective and ecologically benign energy alternatives has sparked important breakthroughs on many fronts. More effective and widely available energy methods are being developed, ranging from hydroelectric power and biomass to solar and wind energy. Considerable progress has also been made in energy storage research, which aims to tackle the issue of intermittent renewable energy sources.

Smart energy management system integration, along with automation and digitization, is optimizing power grid dependability and efficiency. In addition, the electrification of industries and transportation is fundamentally changing how we generate and use energy. In addition to having positive effects on the environment, the shift to a more sustainable energy matrix offers substantial economic and societal benefits, including increased employment stability and job development.

Notable obstacles continue to exist, such as the necessity of enhancing regulations and infrastructure, along with tackling financial and technological impediments. In conclusion, developments in sustainable energy systems and technologies are revolutionizing the world's energy environment and providing creative answers for a more affluent and clean future.

Prof. Dr. Ascensión López-Vargas
Dr. Natalia Pichel
Guest Editors

Manuscript Submission Information

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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

  • sustainable energy technology
  • renewable energy sources
  • smart energy management
  • climate change mitigation
  • technological advancements

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Published Papers (3 papers)

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Research

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19 pages, 2727 KiB  
Article
Dynamic Simulation of Heat Distribution and Losses in Cement Kilns for Sustainable Energy Consumption in Cement Production
by Moses Charles Siame, Tawanda Zvarivadza, Moshood Onifade, Isaac N. Simate and Edward Lusambo
Sustainability 2025, 17(2), 553; https://doi.org/10.3390/su17020553 - 13 Jan 2025
Cited by 1 | Viewed by 1704
Abstract
Sustainable energy consumption in cement production involves practises and strategies aimed at reducing energy use and minimising environmental impact. The efficiency of a cement kiln is dependent on the kiln design, fuel type, and operating temperature. In this study, a dynamic simulation analysis [...] Read more.
Sustainable energy consumption in cement production involves practises and strategies aimed at reducing energy use and minimising environmental impact. The efficiency of a cement kiln is dependent on the kiln design, fuel type, and operating temperature. In this study, a dynamic simulation analysis is used to investigate heat losses and distribution within kilns with the aim of improving energy efficiency in cement production. This study used Computational Fluid Dynamics (CFD) with Conjugate Heat Transfer, Turbulent Flow, and the Realisable k−ϵ turbulence model to simulate heat transfer within the refractory and wall systems of the kiln, evaluate the effectiveness of these systems in managing heat losses, and establish the relationship between the heat transfer coefficient (HTC) and the velocities of solid and gas phases. The simulation results indicate that a temperature gradient from the kiln’s interior to its exterior is highly dependent on the effectiveness of refractory lining in absorbing and reducing heat transfer to the outer walls. The results also confirm that different thermal profiles exist for clinker and fuel gases, with clinker temperatures consistently peaking at approximately 1450 °C, an essential condition for optimal cement-phase formation. The results also indicate that phase velocities significantly influence heat absorption and transfer. Lower velocities, such as 0.2 m/s, lead to increased heat absorption, but also elevate heat losses due to prolonged exposure. The relationship between the heat transfer coefficient (HTC) and the velocities of solid and gas phases also indicates that higher velocities improve HTC and enhance overall heat transfer efficiency, reducing energy demand. Full article
(This article belongs to the Special Issue Advances in Sustainable Energy Technologies and Energy Systems)
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25 pages, 5152 KiB  
Article
Short-Term Photovoltaic Power Probabilistic Forecasting Based on Temporal Decomposition and Vine Copula
by Xinghua Wang, Zilv Li, Chenyang Fu, Xixian Liu, Weikang Yang, Xiangyuan Huang, Longfa Yang, Jianhui Wu and Zhuoli Zhao
Sustainability 2024, 16(19), 8542; https://doi.org/10.3390/su16198542 - 30 Sep 2024
Cited by 1 | Viewed by 2111
Abstract
With the large-scale development of solar power generation, highly uncertain photovoltaic (PV) power output has an increasing impact on distribution networks. PV power generation has complex correlations with various weather factors, while the time series embodies multiple temporal characteristics. To more accurately quantify [...] Read more.
With the large-scale development of solar power generation, highly uncertain photovoltaic (PV) power output has an increasing impact on distribution networks. PV power generation has complex correlations with various weather factors, while the time series embodies multiple temporal characteristics. To more accurately quantify the uncertainty of PV power generation, this paper proposes a short-term PV power probabilistic forecasting method based on the combination of decomposition prediction and multidimensional variable dependency modeling. First, a seasonal and trend decomposition using a Loess (STL)-based PV time series feature decomposition model is constructed to obtain periodic, trend, and residual components representing different characteristics. For different components, this paper develops a periodic component prediction model based on TimeMixer for multi-scale temporal feature mixing, a long short-term memory (LSTM)-based trend component extraction and prediction model, and a multidimensional PV residual probability density prediction model optimized by Vine Copula optimized with Q-Learning. These components’ results form a short-term PV probabilistic forecasting method that considers both temporal features and multidimensional variable correlations. Experimentation with data from the Desert Knowledge Australia Solar Center (DKASC) demonstrates that the proposed method reduced root mean square error (RMSE) and mean absolute percentage error (MAPE) by at least 14.8% and 22%, respectively, compared to recent benchmark models. In probability interval prediction, while improving accuracy by 4% at a 95% confidence interval, the interval width decreased by 19%. The results show that the proposed approach has stronger adaptability and higher accuracy, which can provide more valuable references for power grid planning and decision support. Full article
(This article belongs to the Special Issue Advances in Sustainable Energy Technologies and Energy Systems)
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Review

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20 pages, 2505 KiB  
Review
Regional Strategies for Implementing Methane Fermentation Technology in Waste Management: Environmental, Technological, and Social Perspectives
by Sławomir Kasiński, Jarosław Szuszkiewicz and Marcin Rudnicki
Sustainability 2024, 16(20), 9034; https://doi.org/10.3390/su16209034 - 18 Oct 2024
Viewed by 1266
Abstract
This article discusses regional strategies for implementing methane fermentation technology in waste management, considering environmental, technological, and social perspectives. Methane fermentation plays a crucial role in modern waste management and renewable energy production. The article highlights the importance of local climatic, economic, and [...] Read more.
This article discusses regional strategies for implementing methane fermentation technology in waste management, considering environmental, technological, and social perspectives. Methane fermentation plays a crucial role in modern waste management and renewable energy production. The article highlights the importance of local climatic, economic, and social conditions that affect the efficiency and profitability of biogas installations. Both barriers and opportunities for technology development in various regions are analyzed, particularly in terms of raw material availability, regulatory support, and social acceptance. Examples of biogas technology applications in different countries are provided, identifying key success factors. The article offers valuable insights for decision-makers responsible for designing and implementing methane fermentation systems, taking into account diverse regional conditions and local needs. Full article
(This article belongs to the Special Issue Advances in Sustainable Energy Technologies and Energy Systems)
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