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Multi-Energy Systems Operation, Economics and Policy to Facilitate Low-Carbon Energy...
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Multi-Energy Systems Operation, Economics and Policy to Facilitate Low-Carbon Energy Transition, 2nd Edition

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

Deadline for manuscript submissions: 10 June 2026 | Viewed by 1596

Special Issue Editors

Dr. Jiajia Yang

E-Mail Website
Guest Editor
College of Science and Engineering, James Cook University, Townsville, QLD 4810, Australia
Interests: power system operation and optimization; smart grids; electricity markets; network modelling/planning for renewable integration
Special Issues, Collections and Topics in MDPI journals
Dr. Yunqi Wang

E-Mail Website
Guest Editor
Department of Electrical and Electronic Engineering, RMIT University, Melbourne 3000, VIC, Australia
Interests: low-carbon energy transition; power system planning and operation; multi-energy system cooperation; electric vehicle fleet management; and applications of optimization theory and machine learning in these fields
Special Issues, Collections and Topics in MDPI journals
Dr. Liang Du

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, Temple University, Philadelphia, PA 19122, USA
Interests: electric power grid modernization; energy systems integration; de-centralized and autonomous power architectures; data-driven analytics; renewable integration
Special Issues, Collections and Topics in MDPI journals
Dr. Xiangjing Su

E-Mail Website
Guest Editor
School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Interests: power distribution system planning and operation; power system big data
Special Issues, Collections and Topics in MDPI journals
Dr. Yumin Zhang

E-Mail Website
Guest Editor
College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China
Interests: power system operation and control; power system economic dispatch and optimization; electricity markets; distribition network optimization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In response to the global challenge of climate change, countries worldwide are actively pursuing strategies to reduce carbon emissions and adopt renewable energy sources. Governments have set ambitious targets to achieve net-zero emissions by the mid-century, reflecting a growing recognition of the importance of sustainable energy and the environmental impact of traditional fossil fuels. Significant changes in our energy systems will be necessary in order to meet these targets and enhance system security and reliability. One promising approach in the low-carbon energy transition is the integration of multiple energy carriers, integrating different forms of energy, such as electricity, heat, cooling, and natural gas, through multi-energy networks. This integration offers a viable solution that enables the efficient utilization of variable renewable energy sources. Furthermore, it aligns with the strict greenhouse gas reduction targets put forth. However, the adoption of multi-energy systems (MESs) requires substantial changes to our current energy infrastructure, as well as comprehensive planning and coordination.

To advance research in this pivotal field, we invite contributions to the 2nd Edition of this Energies Special Issue on "Multi-Energy Systems Operation, Economics and Policy to Facilitate Low-Carbon Energy Transition". This Special Issue aims to explore the multifaceted challenges and opportunities associated with the design, operation, economics, and policy aspects of multi-energy systems in the context of achieving low-carbon energy goals. Topics of interest include, but are not limited to the following:

  1. System design and optimization approaches for integrating multi-energy carriers in low-carbon energy systems;
  2. Techno-economic analysis of MESs for enhanced energy efficiency and reduced carbon emissions;
  3. Planning and management strategies to ensure the stability, reliability, and resilience of MESs;
  4. Policy frameworks and regulatory mechanisms to support the deployment and integration of low-carbon MESs;
  5. The role of energy markets and transactive energy mechanisms in facilitating the transition to MESs;
  6. Assessment of the environmental and socio-economic impacts of MESs in achieving sustainability goals;
  7. Innovative energy storage technologies and management systems for reliable and flexible multi-energy operations;
  8. The application of artificial intelligence, machine learning, and data analytics in optimizing MES performance.

Dr. Jiajia Yang
Dr. Yunqi Wang
Dr. Liang Du
Dr. Xiangjing Su
Dr. Yumin Zhang
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

  • net-zero emissions
  • multi-energy systems
  • energy transition

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Related Special Issue

Published Papers (2 papers)

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Research

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29 pages, 2033 KB  
Article
Study on the Economic Benefits of Gas–Wind–Solar Power Alliance Under Gas Peaking Mode
by Fuping Wang
Energies 2026, 19(1), 125; https://doi.org/10.3390/en19010125 - 25 Dec 2025
Viewed by 578
Abstract
Accelerating the integration of wind and solar power is essential for achieving China’s “Dual Carbon” goals, but their inherent intermittency poses significant challenges for grid stability and renewable energy utilization. This study addresses these challenges by proposing a comprehensive economic benefit optimization model [...] Read more.
Accelerating the integration of wind and solar power is essential for achieving China’s “Dual Carbon” goals, but their inherent intermittency poses significant challenges for grid stability and renewable energy utilization. This study addresses these challenges by proposing a comprehensive economic benefit optimization model for a combined gas–wind–solar power generation system under a natural gas peaking mode. The model systematically incorporates multidimensional economic indicators—including generation revenue, green certificate revenue, curtailment losses, and carbon emission costs—while accounting for operational constraints and the fluctuating nature of renewables. Simulation results show that the hybrid system achieves a total economic benefit of 9.97 million yuan, with operating costs at 20% of income and curtailment plus carbon penalty costs below 2%. Compared to single-source generation, the hybrid approach reduces wind and solar curtailment by over 90%, and maintains high channel utilization. Sensitivity analysis reveals that lower gas prices and higher green certificate prices significantly enhance both renewable energy integration and economic returns, while balanced output scenarios maximize system benefits. This research provides a quantitative assessment of the economic and environmental outcomes of a gas–wind–solar complementary system, offering practical insights to maximize renewable energy utilization and support China’s low-carbon energy transition. Full article
(This article belongs to the Special Issue Multi-Energy Systems Operation, Economics and Policy to Facilitate Low-Carbon Energy Transition, 2nd Edition)
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Review

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21 pages, 536 KB  
Review
Applications of AI for the Optimal Operations of Power Systems Under Extreme Weather Events: A Task-Driven and Methodological Review
by Zehua Zhao, Jiajia Yang, Xiangjing Su, Yang Du and Mohan Jacob
Energies 2026, 19(2), 506; https://doi.org/10.3390/en19020506 - 20 Jan 2026
Viewed by 596
Abstract
The increasingly frequent and severe natural disasters have posed significant challenges to the resilience of power systems worldwide, creating an urgent need to investigate the security issues associated with these extreme events and to develop effective risk mitigation strategies. Meanwhile, as one of [...] Read more.
The increasingly frequent and severe natural disasters have posed significant challenges to the resilience of power systems worldwide, creating an urgent need to investigate the security issues associated with these extreme events and to develop effective risk mitigation strategies. Meanwhile, as one of the leading topics in current research, artificial intelligence (AI) has demonstrated outstanding performance across various domains, such as AI-driven smart grids and smart cities. In particular, its efficiency in processing big data and solving complex computational problems has made AI a powerful tool for supporting decision-making in complex scenarios. This article presents a focused overview of power system resilience against natural disasters, highlighting recent advancements in AI-based approaches aimed at enhancing system security and response capabilities. It begins by introducing various types of natural disasters and their corresponding impacts on power systems. Then, a systematic overview of AI applications in power systems under disaster scenarios is provided, with a classification based on the task categories, i.e., predictive, descriptive and prescriptive tasks. Following this, this article analyzes current research trends and finds a growing shift from knowledge-based models towards data-driven models. Furthermore, this paper discusses the major challenges in this research field, including data processing, data management, and data analytics; the challenges introduced by large language models in power systems; and the limitations related to AI model interpretability and generalization capability. Finally, this article outlines several potential future research directions. Full article
(This article belongs to the Special Issue Multi-Energy Systems Operation, Economics and Policy to Facilitate Low-Carbon Energy Transition, 2nd Edition)
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