Search for Topics:
Title/Keyword
Journal
Submission Status
Category
 
 
Topics
Transforming Integrated Energy Systems: Modeling, Simulation and Optimal Operation with...
Submit your Manuscript Propose a Topic

Topic Menu

► Topic Menu

Topic Editors

School of Electrical Engineering, Shanghai Jiao Tong University, Minhang District, Shanghai 200240, China
Dr. Shi Chen
College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Dr. Zhiyuan Tang
College of Electrical Engineering, Sichuan University, Chengdu 610041, China
School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
College of Information Engineering, Zhejiang University of Technology, Hangzhou 310027, China
Dr. Yiwei Qiu
College of Electrical Engineering, Sichuan University, Chengdu 610025, China
School of Automation, Wuhan University of Technology, Wuhan 430074, China
share announcement

Transforming Integrated Energy Systems: Modeling, Simulation and Optimal Operation with Digital Twin

Abstract submission deadline
closed (31 May 2026)
Manuscript submission deadline
30 September 2026
Viewed by
1474

Topic Information

Dear Colleagues,

With the continuous growth of the global energy demand and the increasing awareness of environmental protection, the modelling, simulation, and optimal operation of integrated energy systems have become of utmost significance. As an integrated energy system with more decentralized spatial and temporal dimensions, it encompasses the integration of multiple energy systems, the large-scale utilization of renewable energy sources, and the development of energy storage technologies. In this diverse scenario, the traditional regulation strategies for single-energy networks can no longer satisfy the ever-innovating technological and economic requirements. To tackle these challenges, this Topic is put forward to promote research on the modelling, simulation, and optimal operation of integrated energy systems based on digital twins.

Dr. Yang Gao
Dr. Shi Chen
Dr. Zhiyuan Tang
Dr. Xiaolong Jin
Dr. Licheng Wang
Dr. Yiwei Qiu
Dr. Jinrui Tang
Topic Editors

Keywords

  • integrated energy systems
  • digital twins
  • optimal operations
  • flexible resources
  • energy management

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Electricity
electricity 		2.7 4.4 2020 25.8 Days CHF 1200 Submit
Energies
energies 		3.9 8.3 2008 16.7 Days CHF 2600 Submit
Resources
resources 		4.3 7.3 2012 20.3 Days CHF 1800 Submit
Vehicles
vehicles 		3.2 5.5 2019 19.7 Days CHF 1800 Submit

Preprints.org is a multidisciplinary platform offering a preprint service designed to facilitate the early sharing of your research. It supports and empowers your research journey from the very beginning.

MDPI Topics is collaborating with Preprints.org and has established a direct connection between MDPI journals and the platform. Authors are encouraged to take advantage of this opportunity by posting their preprints at Preprints.org prior to publication:

  1. Share your research immediately: disseminate your ideas prior to publication and establish priority for your work.
  2. Safeguard your intellectual contribution: Protect your ideas with a time-stamped preprint that serves as proof of your research timeline.
  3. Boost visibility and impact: Increase the reach and influence of your research by making it accessible to a global audience.
  4. Gain early feedback: Receive valuable input and insights from peers before submitting to a journal.
  5. Ensure broad indexing: Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.

Published Papers (1 paper)

Order results
Result details
Journals
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
22 pages, 30610 KB  
Article
A CFD Simulation Method for Vehicle Seat Heating and Ventilation Considering the Multilayer Seat Structure
by Yingchao Zhang, Zelin Liu, Ruizhuo Zhou, Guohua Wang, Ziqiao Li and He Chang
Vehicles 2026, 8(9), 216; https://doi.org/10.3390/vehicles8090216 - 14 Sep 2026
Viewed by 114
Abstract
Automotive thermal-comfort studies commonly focus on interactions between occupants and cabin air, although the seat forms the principal sustained contact interface between an occupant and a vehicle. This study presents a coupled computational fluid dynamics (CFD) framework that simultaneously resolves heat conduction through [...] Read more.
Automotive thermal-comfort studies commonly focus on interactions between occupants and cabin air, although the seat forms the principal sustained contact interface between an occupant and a vehicle. This study presents a coupled computational fluid dynamics (CFD) framework that simultaneously resolves heat conduction through perforated leather, breathable sponge, heating pads, and foam; porous airflow through the seat; seat heating and ventilation; and convective heat transfer between the occupant and cabin air. Four total seat-heating powers (0, 60, 90, and 120 W) and four ventilation-fan speeds (0, 1500, 3000, and 4500 rpm) were simulated for 900 s. The results show that seat heating primarily alters temperatures in the contact region through conduction, whereas seat ventilation increases local airflow and cooling near the edges of ventilated contact regions. The principal contribution is a reproducible interface between cabin CFD and thermophysiological modeling. The framework generates spatially resolved fields of air temperature, air velocity, skin and contact-surface temperatures, and heat flux that can serve as boundary conditions for physiological models such as the Fiala and Berkeley models and for subsequent experimental validation. Because the present calculations constitute a comparative single-driver study, direct experimental validation, active thermoregulation, subjective thermal sensation, and interactions under full occupancy must be addressed before the framework can provide absolute comfort predictions. Full article
(This article belongs to the Topic Transforming Integrated Energy Systems: Modeling, Simulation and Optimal Operation with Digital Twin)
►▼ 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