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Advanced Low-Carbon Energy Technologies
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Advanced Low-Carbon Energy Technologies

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "B3: Carbon Emission and Utilization".

Deadline for manuscript submissions: 31 October 2026 | Viewed by 2657

Special Issue Editor

Dr. Jin-Wei Wang

E-Mail Website
Guest Editor
Center for Energy and Environmental Policy Research, School of Management, Beijing Institute of Technology, Beijing 100081, China
Interests: energy technology foresight and assessment; low-carbon technology engineering management

Special Issue Information

Dear Colleagues,

The transition to advanced low-carbon energy technologies has become pivotal in addressing global climate challenges and achieving sustainable development. These technologies are no longer confined to traditional renewable energy systems but are rapidly expanding into emerging domains such as tiny nuclear batteries, large-scale energy storage, smart grid integration, green hydrogen production, carbon capture, storage, and utilization, and bioenergy usage. This diversification has catalysed breakthroughs in materials innovation, energy efficiency, digitalization, and lifecycle sustainability, enabling solutions marked by high energy density, cost-effectiveness, and minimal ecological impacts. Concurrently, the urgency to decarbonize industries, transportation, and urban infrastructure has accelerated research in hybrid energy systems, AI-based optimization, and circular economy frameworks, fostering more innovative and resilient energy innovation ecosystems. However, these advanced technologies' scalability and widespread adoption face hurdles, including intermittent renewable generation, material scarcity, public acceptance, and regulatory fragmentation. This has spurred advancements in predictive maintenance, policy-inclusive design, and cross-sectoral integrations to enhance reliability and socioeconomic viability.

This Special Issue highlights cutting-edge developments in conceptualizing, modelling, deploying, and managing advanced low-carbon energy technologies, emphasizing their role in achieving net-zero targets.

Topics of interest for publication include, but are not limited to, the following:

  • Advanced nuclear technologies;
  • Large-scale energy storage;
  • Smart grid integration;
  • Green hydrogen transportation;
  • Carbon capture, storage, and utilization;
  • Bioenergy innovations;
  • Next-generation photovoltaics;
  • Marine-related energy innovations;
  • Geothermal systems;
  • Integrated energy applications;
  • Technology management.

Dr. Jin-Wei Wang
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. 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

  • low-carbon energy technologies
  • emerging technologies
  • new applications
  • modelling
  • design
  • emissions control
  • public acceptance
  • policy issues

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Published Papers (3 papers)

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Research

12 pages, 725 KB  
Article
Dynamic Measurement of Power Grid Carbon Emission Factors Based on Carbon Emission Flow Theory
by Guimin Li, Qing Wang, Pingxin Wang, Yue Lin, Jian Yang, Zhimin Lu, Xiang Zhang, Dexiang Jia, Zhengcong Zhao and Shunchun Yao
Energies 2026, 19(4), 950; https://doi.org/10.3390/en19040950 - 12 Feb 2026
Viewed by 527
Abstract
Current carbon accounting in the power sector often relies on annual average emission factors, which suffer from ill-defined system boundaries, update delays, and insufficient temporal granularity. To address these limitations, this study introduces a high-spatiotemporal-resolution dynamic measurement model for grid carbon emission factors, [...] Read more.
Current carbon accounting in the power sector often relies on annual average emission factors, which suffer from ill-defined system boundaries, update delays, and insufficient temporal granularity. To address these limitations, this study introduces a high-spatiotemporal-resolution dynamic measurement model for grid carbon emission factors, grounded in carbon emission flow theory. Applied to a regional grid in northern China, the model employs nodal carbon–emission–flow balance to construct system-level matrix equations. This approach accurately traces the spatiotemporal transmission paths of carbon emissions, enabling refined, node-level, and hourly carbon accounting. A case study demonstrated that our model significantly outperformed existing static methods based on interprovincial power exchange in both resolution and accuracy. The results revealed pronounced spatiotemporal heterogeneity in grid emission factors: diurnal fluctuations reach up to 45% in maximum deviation, closely coupled with renewable energy output, while spatial disparities between high- and low-emission regions reach a factor of 4.7, highlighting the critical roles of generation mix and grid topology. This study confirms that high-resolution emission factors effectively overcome the biases of traditional methods, providing a critical data foundation for green electricity trading, demand-side response, and regionally differentiated emission-reduction policies. Our approach offers key methodological and policy insights for building new-type power systems and advancing carbon neutrality goals. Full article
(This article belongs to the Special Issue Advanced Low-Carbon Energy Technologies)
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18 pages, 7115 KB  
Article
Thermal Performance of Borehole Heat Exchangers with Varying Borehole Depths in Cold Regions: Implications from In Situ Thermal Response Tests
by Zezhou Yan, Qi Zhang, Ming Yang, Peiyu Zeng, Jin Luo and Deshan Cui
Energies 2025, 18(21), 5561; https://doi.org/10.3390/en18215561 - 22 Oct 2025
Cited by 2 | Viewed by 819
Abstract
In cold regions, performance reduction in a Ground-Coupled Heat Pump (GSHP) system has been frequently reported. Many operational strategies have been adopted to mitigate such an undesirable phenomenon. However, these strategies have limited effects because the specific heat rate of Borehole Heat Exchangers [...] Read more.
In cold regions, performance reduction in a Ground-Coupled Heat Pump (GSHP) system has been frequently reported. Many operational strategies have been adopted to mitigate such an undesirable phenomenon. However, these strategies have limited effects because the specific heat rate of Borehole Heat Exchangers (BHEs) is usually treated as constant. In this study, eight BHEs were installed in typical loess areas in Northwestern China to investigate how borehole depth affects its thermal performance. Thermal response tests (TRTs) showed that deeper boreholes led to a higher fluid outlet temperature. Compared to 150 m and 100 m boreholes, the energy coefficient factor (η) for a 200 m borehole increased by 18.02% and 45.0%, respectively. Numerical simulation also confirmed that deeper BHEs perform better. In addition, the initial ground temperature influences the thermal performance sensitively, but in the opposite way for heating and cooling modes. These findings offer valuable insights for installing GSHP systems to achieve sustainable and high thermal performance in cold regions. Full article
(This article belongs to the Special Issue Advanced Low-Carbon Energy Technologies)
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25 pages, 7537 KB  
Article
Research on Green Distribution Problems of Mixed Fleets Considering Multiple Charging Methods
by Lvjiang Yin, Ruixue Zhu and Dandan Jian
Energies 2025, 18(19), 5220; https://doi.org/10.3390/en18195220 - 1 Oct 2025
Viewed by 802
Abstract
Against the backdrop of global emissions reduction and transportation electrification, electric vehicles are gradually replacing traditional fuel vehicles for delivery. However, issues such as limited range and charging times often conflict with time window service requirements. To balance economic and environmental performance, mixed [...] Read more.
Against the backdrop of global emissions reduction and transportation electrification, electric vehicles are gradually replacing traditional fuel vehicles for delivery. However, issues such as limited range and charging times often conflict with time window service requirements. To balance economic and environmental performance, mixed fleets and multi-method charging strategies have emerged as viable approaches. This study addresses the problem by developing a mixed-integer programming model that incorporates multiple charging methods and carbon emission accounting. An Improved Adaptive Large Neighborhood Search (IALNS) algorithm is proposed, featuring multiple Removal and Insertion operators tailored for customers and charging stations, along with two local optimization operators. The algorithm’s superiority and applicability are validated through simulation and comparative analysis on benchmark instances and real-world data from an urban courier network. Sensitivity analysis further demonstrates that the proposed algorithm effectively coordinates vehicle type and charging mode selection, reducing total costs and carbon emissions while ensuring service quality. This approach provides practical reference value for operational decision-making in mixed fleet delivery. Full article
(This article belongs to the Special Issue Advanced Low-Carbon Energy Technologies)
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