Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
8.3
3.2
Journals
Energies
Special Issues
Design Analysis and Optimization of Renewable Energy System
energies-logo
Submit to Special Issue Submit Abstract to Special Issue Review for Energies Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Design Analysis and Optimization of Renewable Energy System

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

Deadline for manuscript submissions: 10 June 2026 | Viewed by 832

Special Issue Editor

Dr. Xiao Xu

E-Mail Website
Guest Editor
Department of Electrical Engineering, Sichuan University, Chengdu 610065, China
Interests: planning and operational optimization of renewable energy system; AI for distribution network resilience
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The global transition to sustainable energy has intensified the need for efficient, reliable, and cost-effective renewable energy systems. This Special Issue aims at providing a platform for high-quality research on the design, analysis, and optimization of renewable energy systems, including but not limited to solar, wind, hydro, biomass, and hybrid systems.

This Special Issue aims at presenting and disseminating the most recent advances in the design, analysis, optimization, and application of renewable energy systems.

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

  • Innovative design methodologies for renewable energy systems;
  • Optimization of energy conversion, storage, and distribution;
  • Multi-objective, techno-economic, and operational optimization approaches;
  • Integration of renewable energy with smart grids and microgrids;
  • Forecasting of renewable energy generation and demand;
  • Advanced control strategies and real-time energy management;
  • AI application for renewable energy systems.

We welcome contributions that provide innovative solutions, validated models, or practical implementations, aiming at advancing the theoretical and practical understanding of renewable energy systems.

Dr. Xiao Xu
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

  • renewable energy systems
  • design and optimization
  • energy conversion and storage
  • smart grids and microgrids
  • artificial intelligence applications

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

21 pages, 16221 KB  
Article
From Operations to Design: Probabilistic Day-Ahead Forecasting for Risk-Aware Storage Sizing in Wind-Dominated Power Systems
by Dimitrios Zafirakis, Ioanna Smyrnioti, Christiana Papapostolou and Konstantinos Moustris
Energies 2026, 19(8), 1972; https://doi.org/10.3390/en19081972 - 19 Apr 2026
Viewed by 480
Abstract
The large-scale integration of wind energy introduces increased uncertainty and variability in modern power systems, with direct implications for both system design and operation. In addressing similar aspects, energy storage plays a pivotal role as a key source of system flexibility. However, the [...] Read more.
The large-scale integration of wind energy introduces increased uncertainty and variability in modern power systems, with direct implications for both system design and operation. In addressing similar aspects, energy storage plays a pivotal role as a key source of system flexibility. However, the design and sizing of storage systems remain challenging, especially under conditions of increased uncertainty. In this context, the present study proposes an alternative methodological framework, based on an inverse sizing pathway, i.e., from operations to design. More specifically, the uncertainty embedded in day-ahead forecasting of residual errors, associated with wind power generation and load demand, is currently exploited as a design-relevant signal, while energy storage is treated explicitly as a risk-hedging mechanism. Forecasting residuals spanning a year of operation are incorporated in the problem through probabilistic modeling, leading to the generation of trajectories that correspond to different risk levels and are managed as design scenarios. Regarding the modeling of uncertainties, the study examines two different strategies, namely a global modeling approach and a k-means clustering strategy. Accordingly, by mapping the interplay between storage capacity, uncertainty levels (or risk tolerance), achieved RES shares and system-level costs, we highlight the role of energy storage as a risk-hedging entity rather than merely a means of energy balancing. Our results to that end demonstrate that the achieved shares of RES exhibit increased sensitivity, even within constrained regions of wind power variation, while storage capacity features distinct zones of hedging value and hedging saturation effects emerging beyond certain storage levels. Moreover, evaluation of the two modeling strategies reflects on their complementary character, with the global modeling approach ensuring continuity and the clustering strategy capturing local asymmetries within different operational regimes. In conclusion, the methodology presented in this study bridges the gap between operational forecasting and long-term system design, offering a risk-aware framework for storage sizing, grounded in actual operational signals rather than relying on stationary historical data and relevant scenarios. Full article
(This article belongs to the Special Issue Design Analysis and Optimization of Renewable Energy System)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop