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Sustainability
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Advanced Electric Energy Conversion and Storage for Sustainable Energy Systems
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Advanced Electric Energy Conversion and Storage for Sustainable Energy Systems

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

Deadline for manuscript submissions: 20 October 2025 | Viewed by 731

Special Issue Editor

Dr. Morteza Nazari-Heris

E-Mail Website
Guest Editor
Department of Engineering, East Carolina University, Greenville, NC, USA
Interests: smart energy systems; resilience; EV charging infrastructure; machine learning; sustainable energy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue focuses on cutting-edge technologies and advancements in electric energy conversion and storage that are pivotal for developing sustainable energy systems. As the transition to renewable energy sources accelerates, there is an urgent need for innovative solutions that enhance the efficiency, reliability, and scalability of energy conversion and storage. This issue presents a range of research articles and case studies exploring the latest developments in advanced electric energy technologies. Topics include high-performance batteries, supercapacitors, fuel cells, and novel energy conversion methods. Additionally, this issue examines integration strategies for technologies within sustainable energy systems, emphasizing grid stability, energy management, and the reduction of carbon emissions. Contributions should also address challenges and future directions in improving energy storage density, lifecycle performance, and cost-effectiveness. By highlighting these advancements, the Special Issue aims to provide valuable insights for researchers, engineers, and policymakers dedicated to advancing sustainable energy solutions and supporting the global shift towards cleaner energy systems.

Dr. Morteza Nazari-Heris
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

  • electric energy conversion
  • energy storage technologies
  • sustainable energy systems
  • high-performance batteries
  • supercapacitors
  • fuel cells
  • energy management
  • grid stability
  • carbon emission reduction
  • energy storage density
  • lifecycle performance
  • technological innovation

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Published Papers (1 paper)

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Research

28 pages, 3429 KiB  
Article
Intelligent Management of Integrated Energy Systems with a Stochastic Multi-Objective Approach with Emphasis on Demand Response, Energy Storage Devices, and Power-to-Gas
by Hossein Faramarzi, Navid Ghaffarzadeh and Farhad Shahnia
Sustainability 2025, 17(7), 3001; https://doi.org/10.3390/su17073001 - 27 Mar 2025
Viewed by 448
Abstract
Optimal scheduling of integrated PV/wind energy systems (IESs) is a complex task that requires innovative approaches to address uncertainty and improve efficiency. This paper proposes a novel multi-objective optimization framework for IES operation, incorporating demand response (DR), a comprehensive set of components, and [...] Read more.
Optimal scheduling of integrated PV/wind energy systems (IESs) is a complex task that requires innovative approaches to address uncertainty and improve efficiency. This paper proposes a novel multi-objective optimization framework for IES operation, incorporating demand response (DR), a comprehensive set of components, and innovative techniques to reduce computational complexity. The proposed framework minimizes total losses, cost, and emissions while meeting energy demands, offering significant advantages in terms of sustainability and cost reduction. The optimization model is implemented using steady-state energy analysis and non-dominated sorting genetic algorithm-III (NSGA-III) heuristic optimization, while uncertainty analysis and scenario reduction techniques enhance computational efficiency. To further reduce the computational burden, the proposed framework incorporates a novel clustering strategy that effectively reduces the number of scenarios from 1000 to 30. This innovation significantly improves the computational efficiency of the proposed framework, making it more practical for real-world applications. The effectiveness of the proposed approach is validated against multi-objective seagull optimization algorithm (MOSOA)- and general algebraic modeling system (GAMS)-based methods, demonstrating its superior performance in various scenarios. The improved management system, enabled by the proposed algorithms, facilitates informed operational decisions, enhancing the system’s installed capacity and overall flexibility. This optimization framework paves the way for more efficient and sustainable operation of integrated PV/wind energy systems. Reducing gas and heat network losses, considering both electric and thermal load response, simultaneously utilizing electricity, gas, and heat storage devices, and introducing a new clustering strategy to reduce scenarios are the specific innovations that are mentioned in this paper. Full article
(This article belongs to the Special Issue Advanced Electric Energy Conversion and Storage for Sustainable Energy Systems)
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