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Energies
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Design, Optimization and Applications of Energy Storage System
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Design, Optimization and Applications of Energy Storage System

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "D: Energy Storage and Application".

Deadline for manuscript submissions: 13 June 2025 | Viewed by 2319

Special Issue Editors

Dr. Raffaello Cozzolino

E-Mail Website
Guest Editor
Department of Engineering, University of Rome Niccolò Cusano, 00166 Roma, Italy
Interests: advanced energy systems; fuel cells; cogeneration and trigeneration systems; polygeneration; renewable energies; thermal energy storages; waste heat recovery; thermodynamic analysis
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Gino Bella

E-Mail Website
Guest Editor
Department of Engineering, University of Rome Niccolò Cusano, 00166 Roma, Italy
Interests: fuel spray; numerical analysis; turbulence modeling; engines; internal combustion engine; hybrid vehicle; thermal energy system; renewable energy system
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The exploitation of renewable sources—unlimited and clean—can reduce the use of fossil sources and the derived environmental impacts. Nevertheless, renewable sources present several drawbacks, such as intermittent operation, meteorological instability, and low energy density. Therefore, to cope with these issues, it is often necessary to integrate an energy storage system to balance supply and demand, thereby enhancing the reliability of renewable energy sources like solar and wind and improving the efficiency of energy use across various sectors.

Several types of energy storage systems (ESSs) are used for integration with renewable energy systems, such as such as batteries, capacitors, thermal storage, compressed air energy storage, flywheels, and hydrogen storage systems.

Currently, the development and optimization of energy storage technologies to increase energy density, improve efficiency, reduce costs, and increase useful life represents one of the most promising research fields for the efficient use of energy and consumption reduction, with significant economic and environmental repercussions.

This Special Issue provides a platform for publishing and sharing novel, inspiring, and promising research on energy storage systems. Topics of interest include but are not limited to the following:

  • Electrochemical energy storage, i.e., battery, flow battery, flexi battery, etc.
  • Thermal energy storage, i.e., sensible, latent, thermochemical, etc.
  • Mechanical energy storage, i.e., pumped hydro, compressed air, flywheels, etc.
  • Chemical energy storage, i.e., hydrogen, synthetic natural gas storage, etc.
  • Electrical energy storage, i.e., electrostatic, capacitor, supercapacitors, etc.
  • Hybrid storage system.
  • Modelling and experimentation.
  • Optimization and control strategies.
  • Applications, i.e., heating, cooling, power generation, hydrogen, etc.
  • Life cycle costing and life cycle assessment analysis.
  • Energy, exergy, economic, and environmental analysis.

As Guest Editors, we are pleased to invite you to contribute to this Special Issue by submitting papers on innovative technical developments, reviews, case studies, analytical research, and assessment works from different disciplines that are relevant to energy storage systems.

Dr. Raffaello Cozzolino
Prof. Dr. Gino Bella
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 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. 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

  • renewable energy
  • energy storage system
  • energy management
  • numerical modelling
  • experimental
  • energy, exergy, and economic analysis
  • LCC and LCA

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Published Papers (3 papers)

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Research

24 pages, 29287 KiB  
Article
Capacity Optimization Configuration of Hybrid Energy Storage Systems for Wind Farms Based on Improved k-means and Two-Stage Decomposition
by Xi Zhang, Longyun Kang, Xuemei Wang, Yangbo Liu and Sheng Huang
Energies 2025, 18(4), 795; https://doi.org/10.3390/en18040795 - 8 Feb 2025
Viewed by 505
Abstract
To address the issue of excessive grid-connected power fluctuations in wind farms, this paper proposes a capacity optimization method for a hybrid energy storage system (HESS) based on wind power two-stage decomposition. First, considering the susceptibility of traditional k-means results to initial cluster [...] Read more.
To address the issue of excessive grid-connected power fluctuations in wind farms, this paper proposes a capacity optimization method for a hybrid energy storage system (HESS) based on wind power two-stage decomposition. First, considering the susceptibility of traditional k-means results to initial cluster center positions, the k-means++ algorithm was used to cluster the annual wind power, with the optimal number of clusters determined by silhouette coefficient and Davies–Bouldin Index. The overall characteristics of each cluster and the cumulative fluctuations were considered to determine typical daily data. Subsequently, improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) was used to decompose the original wind power data for typical days, yielding both the grid-connected power and the HESS power. To leverage the advantages of power-type and energy-type storage while avoiding mode aliasing, the improved pelican optimization algorithm—variational mode decomposition (IPOA-VMD) was applied to decompose the HESS power, enabling accurate distribution of power for different storage types. Finally, a capacity optimization model for a HESS composed of lithium batteries and supercapacitors was developed. Case studies showed that the two-stage decomposition strategy proposed in this paper could effectively reduce grid-connected power fluctuations, better utilize the advantages of different energy storage types, and reduce HESS costs. Full article
(This article belongs to the Special Issue Design, Optimization and Applications of Energy Storage System)
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26 pages, 4226 KiB  
Article
A Scenario-Based Simulation Study for Economic Viability and Widespread Impact Analysis of Consumption-Side Energy Storage Systems
by Vedat Kiray
Energies 2025, 18(2), 347; https://doi.org/10.3390/en18020347 - 14 Jan 2025
Viewed by 521
Abstract
This study investigates energy storage within the contexts of production-side and consumption-side energy storage concepts. The theoretical advantages of consumption-side energy storage over production-side systems are initially explored. The analysis is supported by a scenario-based simulation, with results presented to assess the feasibility [...] Read more.
This study investigates energy storage within the contexts of production-side and consumption-side energy storage concepts. The theoretical advantages of consumption-side energy storage over production-side systems are initially explored. The analysis is supported by a scenario-based simulation, with results presented to assess the feasibility and applicability of consumption-side energy storage under varying conditions. The simulation examines multiple scenarios, incorporating economic assessments to evaluate the viability of such systems. Additionally, the study explores the broader impact of consumption-side energy storage when adopted by 5 million, 10 million, 20 million, and 40 million residential consumers across separate scenarios. The analysis emphasizes the potential for shifting peak-period energy consumption to nighttime usage and assesses the corresponding reduction in energy generation requirements and transmission line loads, alongside the economic benefits derived from postponing energy infrastructure investments. The study focuses exclusively on residential consumers, with the energy storage systems referred to as residential energy storage systems (RESS). These systems are assumed to be organized and managed by energy provider companies rather than individual consumers. The research also considers the potential costs associated with implementing RESS. The simulation-based findings reveal significant benefits, including reduced reliance on new power plants, decreased risk of transmission line overload, increased utilization of renewable energy resources, financial advantages for both energy providers and consumers, and positive environmental impacts. These results provide valuable insights with implications for shaping future energy policies, particularly in the United States. Full article
(This article belongs to the Special Issue Design, Optimization and Applications of Energy Storage System)
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15 pages, 2343 KiB  
Article
Consecutive Year-by-Year Planning of Grid-Side Energy Storage System Considering Demand-Side Response Resources
by Haidong Xu, Yifan Ding, Feifei Sun, Renshun Wang, Guangchao Geng and Quanyuan Jiang
Energies 2024, 17(15), 3639; https://doi.org/10.3390/en17153639 - 24 Jul 2024
Cited by 1 | Viewed by 883
Abstract
Demand-side response (DR) and energy storage system (ESS) are both important means of providing operational flexibility to the power system. Thus, DR has a certain substitution role for ESS, but unlike DR, ESS planning has a coupling relationship between years, which makes it [...] Read more.
Demand-side response (DR) and energy storage system (ESS) are both important means of providing operational flexibility to the power system. Thus, DR has a certain substitution role for ESS, but unlike DR, ESS planning has a coupling relationship between years, which makes it difficult to guarantee the reasonableness of the ESS planning results by considering only a single year. To achieve the optimal construction timing of ESS, this paper develops a consecutive year-by-year framework integrating DR and ESS to analyse and quantify the substitution effect of DR on energy storage while realizing year-by-year ESS planning. Our methods are as follows: (1) A consecutive year-by-year DR model and an ESS model are proposed; (2) These two models are combined together to achieve the purpose of considering DR in the ESS planning stage. Here, system reserve, renewable energy consumption, and preservation of power supply are given consideration to optimise the reliability and economy of the system; (3) The method is validated using a provincial real-world power grid in the eastern part of China. The optimal results of five consecutive years of planning show that DR substitutes 19.7% of the ESS capacity. Full article
(This article belongs to the Special Issue Design, Optimization and Applications of Energy Storage System)
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