energies-logo

Journal Browser

Journal Browser

Fluid Flow, Heat Transfer, and Mass Transport Analysis for the Optimization of Sustainable Energy Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "J1: Heat and Mass Transfer".

Deadline for manuscript submissions: 15 January 2025 | Viewed by 2007

Special Issue Editor


E-Mail Website
Guest Editor
School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield AL10 9AB, UK
Interests: thermal management; thermal comfort; nanofluids; phase change materials for heat transfer, energy conversion, and storage

Special Issue Information

Dear Colleagues,

You are invited to submit your latest work to our Special Issue, entitled “Fluid Flow, Heat Transfer, and Mass Transport Analysis for the Optimization of Sustainable Energy Systems”.

The development of new, innovative, sustainable energy technologies is crucial for satisfying ever-growing global energy demands and combating climate change. Heat transfer and fluid flow play an integral role in a wide range of energy systems, and improving the efficiency of these processes contributes hugely to the overall system performance enhancement. This Special Issue focuses on novel research involving analytical, experimental, and numerical investigations on the fundamental understanding of fluid flow, heat transfer, and mass transport phenomena and their contribution to efficiency optimization of a wide range of applications, such as energy generation, conversion, storage and utilization, automotive engineering, space heating and cooling, thermal management of power electronics, fuel cells, and batteries. Studies relevant to novel thermal fluids, materials, and processes to optimize system energy efficiency also fall within the scope of this Special Issue and are encouraged to be submitted.

Dr. Tehmina Ambreen
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. 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

  • heat and mass transport
  • sustainable energy system optimization
  • energy generation, conversion, storage, and utilization
  • thermal management
  • space heating and cooling
  • transportation
  • thermofluids
  • heat exchangers

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.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

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

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

12 pages, 8485 KiB  
Article
Study on Rapid Simulation of the Pre-Cooling Process of a Large LNG Storage Tank with the Consideration of Digital Twin Requirements
by Yunfei Zhao, Caifu Qian, Guangzhi Shi, Mu Li, Zaoyang Qiu, Baohe Zhang and Zhiwei Wu
Energies 2024, 17(14), 3471; https://doi.org/10.3390/en17143471 - 15 Jul 2024
Viewed by 1142
Abstract
The pre-cooling of a large LNG storage tank involves complex phenomena such as heat transfer, low-temperature flow, gas displacement, and vaporization. The whole pre-cooling process could take up to 50 h. For large-scale, full-capacity storage tanks, it is particularly important to accurately control [...] Read more.
The pre-cooling of a large LNG storage tank involves complex phenomena such as heat transfer, low-temperature flow, gas displacement, and vaporization. The whole pre-cooling process could take up to 50 h. For large-scale, full-capacity storage tanks, it is particularly important to accurately control the pre-cooling temperature. Digital twin technology can characterize and predict the full life cycle parameters from the beginning of pre-cooling development to the end and even the appearance of damage in real time. The construction of a digital twin platform requires a large number of data samples in order to predict the operating state of the device. Therefore, a simulation method with high computational efficiency for the pre-cooling process of LNG tanks is of great importance. In this paper, the mixture model and discrete phase model (DPM) are applied to simulate the pre-cooling process of a large LNG full-capacity tank. Following Euler–Lagrange, the DPM greatly simplifies the solution process. Compared with the experimental results, the maximum error of the DPM simulation results is less than 11%. Such a highly efficient simulation method for the large LNG full-capacity storage tank can make it possible to build the digital twin platform that needs hundreds of data model samples. Full article
Show Figures

Figure 1

Back to TopTop