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Innovative and Smart Renewable Energy Technologies for Developing Low-Carbon and Sustainable Societies

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

Deadline for manuscript submissions: 30 April 2026 | Viewed by 1959

Special Issue Editor


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Guest Editor
Waterloo Institute for Sustainable Energy (WISE), University of Waterloo, Waterloo, ON N2L 3G1, Canada
Interests: clean and renewable energy; energy production, conversion and storage; energy management and optimization; smart, hybrid energy systems; sustainable development
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Special Issue Information

Dear Colleagues,

Innovative, smart renewable energy technologies are crucial in developing low-carbon and sustainable societies. These technologies integrate advanced solutions such as artificial intelligence, smart grids, and energy storage and conversion systems to optimize energy production and consumption. By harnessing renewable sources more efficiently, they reduce greenhouse gas emissions and dependence on carbon-based fuels. Smart energy management systems enhance supply stability and reliability while minimizing waste. Sustainable urban planning, incorporating renewable energy solutions, promotes eco-friendly infrastructure and smart cities. Governments and industries worldwide are investing in these advancements to achieve sustainability and decarbonization goals while meeting growing energy demands. Research and policy support are essential for accelerating the adoption of these technologies. Public awareness and education further drive the transition toward cleaner energy solutions. Finally, these innovations pave the way for a more resilient and environmentally responsible future.

This Special Issue focuses on addressing critical knowledge gaps related to innovative, smart renewable energy technologies for the development of low-carbon and sustainable societies. It aims at showcasing cutting-edge research that advances the adoption of these technologies, promoting environmental quality and resilience in societies.

Potential topics of interest include, but are not limited to, the following:

  • Energy sustainability, resilience, and climate adaptability in societies;
  • Decarbonization strategies for buildings/societies through innovative technologies;
  • Smart, hybrid energy systems;
  • Energy-efficient and net-zero energy buildings;
  • Renewable, affordable, and reliable energy technologies;
  • Sustainable development and climate change mitigation goals in societies;
  • Heating, ventilation, and air-conditioning (HVAC) and energy recovery systems;
  • Advanced energy storage and conversion technologies;
  • Sustainable development and green architecture.

Original research articles, review articles, case studies, and technical notes are welcome in this Special Issue.

Dr. Alireza Dehghani-Sanij
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 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. 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

  • clean and renewable energy
  • energy sources and production
  • energy conversion and storage
  • energy efficiency
  • energy conservation and recovery
  • energy management and optimization
  • smart, hybrid energy systems
  • energy equity, security, and access
  • energy and buildings
  • climate change and global warming
  • sustainable societies
  • sustainability and decarbonization

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Published Papers (4 papers)

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Research

31 pages, 8500 KiB  
Article
Risks, Obstacles and Challenges of the Electrical Energy Transition in Europe: Greece as a Case Study
by Georgios Fotis, Theodoros I. Maris and Valeri Mladenov
Sustainability 2025, 17(12), 5325; https://doi.org/10.3390/su17125325 - 9 Jun 2025
Viewed by 267
Abstract
The European Union’s 2030 target of decreasing net greenhouse gas emissions by at least 55% has resulted in a significant uptake of renewable energy sources (RESs) in the European power system, primarily wind and solar power, as well as the closure of conventional [...] Read more.
The European Union’s 2030 target of decreasing net greenhouse gas emissions by at least 55% has resulted in a significant uptake of renewable energy sources (RESs) in the European power system, primarily wind and solar power, as well as the closure of conventional power plants that mostly used fossil fuels. The European Union’s members have accelerated the process of energy transition driven by climate change, and public authorities’ involvement in this process is impressive. The goal of this study is to present a broad overview of the existing challenges for the energy transition in Europe and how they can affect the reliability and stability of the interconnected power system in Europe and future investments, focusing especially on Greece. Unfortunately, this environmentally friendly transition is taking place without the required amount of investment in electrical energy storage technology, which raises the risk of a blackout due to the high predicted variability of RES. The gradual abandonment of conventional energy production units such as natural gas in the coming decades will intensify the problem of frequency regulation, which will become even more acute due to the particularly increased installed capacity in RESs across Europe and Greece. The European Power System, being partially unprepared for the energy transition, frequently faces a paradox: it rejects green power originating from high-RES production because of low demand, a lack of transmission line interconnections, or extremely low energy storage capacity. This paper examines all the prerequisites, including how the European electrical transmission system will be developed in the future and how new energy storage technologies will be used. Lastly, Greece’s energy future and potential risks associated with realizing the environmental goals of the European Green Deal is studied using a PESTEL analysis. Full article
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17 pages, 1010 KiB  
Article
National Energy and Climate Plan—Polish Participation in the Implementation of European Climate Policy in the 2040 Perspective and Its Implications for Energy Sustainability
by Stanisław Tokarski, Beata Urych and Adam Smolinski
Sustainability 2025, 17(11), 5035; https://doi.org/10.3390/su17115035 - 30 May 2025
Viewed by 460
Abstract
This paper analyses Poland’s participation in implementing European climate policy within the framework of the National Energy and Climate Plan (NECP), looking toward 2040. It assesses the feasibility of Poland’s commitments to the European Union’s decarbonisation targets, particularly with regard to transitioning from [...] Read more.
This paper analyses Poland’s participation in implementing European climate policy within the framework of the National Energy and Climate Plan (NECP), looking toward 2040. It assesses the feasibility of Poland’s commitments to the European Union’s decarbonisation targets, particularly with regard to transitioning from fossil fuels to renewable energy sources and nuclear power. The study highlights the challenges related to the speed of the energy transition, the security of electricity supply, and the competitiveness of the national economy. The study also assesses the energy mix scenarios proposed in the NECP, taking into account historical energy consumption data, economic and demographic projections, and expert analyses of energy security. It also critically examines the risks of delayed investment in nuclear and offshore wind, the potential shortfall in renewable energy infrastructure, and the need for transitional solutions, including coal and gas generation. An alternative scenario is proposed to mitigate potential energy supply shortfalls between 2035 and 2040, highlighting the role of energy storage, strategic reserves, and the maintenance of certain fossil fuel capacities. Poland’s energy policy should prioritize flexibility and synchronization with EU objectives, while ensuring economic stability and technological feasibility. The analysis underlines that the sustainable development of the national energy system requires not only alignment with European climate goals, but also a long-term balance between environmental responsibility, energy affordability, and security. Strengthening the sustainability dimension in energy policy decisions—by integrating resilience, renewability, and social acceptance—is essential to ensure a just and enduring energy transition. Full article
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25 pages, 3437 KiB  
Article
An Innovative Framework for Forecasting the State of Health of Lithium-Ion Batteries Based on an Improved Signal Decomposition Method
by Ting Zhu, Wenbo Wang, Yu Cao, Xia Liu, Zhongyuan Lai and Hui Lan
Sustainability 2025, 17(11), 4847; https://doi.org/10.3390/su17114847 - 25 May 2025
Viewed by 352
Abstract
The declining trend of battery aging has strong nonlinearity and volatility, which poses great challenges to the prediction of battery’s state of health (SOH). In this research, an innovative framework is initially put forward for SOH prediction. First, partial incremental capacity analysis (PICA) [...] Read more.
The declining trend of battery aging has strong nonlinearity and volatility, which poses great challenges to the prediction of battery’s state of health (SOH). In this research, an innovative framework is initially put forward for SOH prediction. First, partial incremental capacity analysis (PICA) is carried out to analyze the performance degradation within a specific voltage range. Subsequently, the height of the peak, the position of the peak, and the area beneath the peak of the IC curves are retrieved and used as health features (HFs). Moreover, improved ensemble empirical mode decomposition based on fractal dimension (FEEMD) is first proposed and utilized to decompose HFs to reduce the nonlinearity and fluctuations. Additionally, a bidirectional gated recurrent unit with an attention mechanism (BiGRU-AM) is constructed for the prognosis of these sub-layers. Finally, the effectiveness and robustness of the proposed prognosis framework are validated using two battery datasets. The results of three groups of comparative experiments demonstrate that the maximum root mean squared error (RMSE) and mean absolute error (MAE) values reach merely 0.55% and 0.59%, respectively. This further demonstrates that the proposed FEEMD outperforms other benchmark models and can offer a reliable foundation for the health prognosis of lithium-ion batteries. Full article
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23 pages, 4887 KiB  
Article
Occupancy-Based Predictive AI-Driven Ventilation Control for Energy Savings in Office Buildings
by Violeta Motuzienė, Jonas Bielskus, Rasa Džiugaitė-Tumėnienė and Vidas Raudonis
Sustainability 2025, 17(9), 4140; https://doi.org/10.3390/su17094140 - 3 May 2025
Viewed by 570
Abstract
Despite stricter global energy codes, performance standards, and advanced renewable technologies, the building sector must accelerate its transition to zero carbon emissions. Many studies show that new buildings, especially non-residential ones, often fail to meet projected performance levels due to poor maintenance and [...] Read more.
Despite stricter global energy codes, performance standards, and advanced renewable technologies, the building sector must accelerate its transition to zero carbon emissions. Many studies show that new buildings, especially non-residential ones, often fail to meet projected performance levels due to poor maintenance and management of HVAC systems. The application of predictive AI models offers a cost-effective solution to enhance the efficiency and sustainability of these systems, thereby contributing to more sustainable building operations. The study aims to enhance the control of a variable air volume (VAV) system using machine learning algorithms. A novel ventilation control model, AI-VAV, is developed using a hybrid extreme learning machine (ELM) algorithm combined with simulated annealing (SA) optimisation. The model is trained on long-term monitoring data from three office buildings, enhancing robustness and avoiding the data reliability issues seen in similar models. Sensitivity analysis reveals that accurate occupancy prediction is achieved with 8500 to 10,000 measurement steps, resulting in potential additional energy savings of up to 7.5% for the ventilation system compared to traditional VAV systems, while maintaining CO2 concentrations below 1000 ppm, and up to 12.5% if CO2 concentrations are slightly above 1000 ppm for 1.5% of the time. Full article
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