Improving the energy efficiency of buildings based on fluid dynamics models: a critical review

Lü, Xiaoshu, Lu, Tao, Yang, Tong ORCID: https://orcid.org/0000-0002-1254-5628, Salonen, Heidi, Dai, Zhenxue, Droege, Peter and Chen, Hongbing (2021) Improving the energy efficiency of buildings based on fluid dynamics models: a critical review. Energies, 14 (17) , 5384. pp. 1-24. ISSN 1996-1073 [Article]

[img]
Preview
PDF - Published version (with publisher's formatting)
Download (1MB) | Preview

Abstract

The built environment is the global sector with the greatest energy use and greenhouse gas emissions. As a result, building energy savings can make a major contribution to tackling the current energy and climate change crises. Fluid dynamics models have long supported the understanding and optimization of building energy systems and have been responsible for many important technological breakthroughs. As Covid-19 is continuing to spread around the world, fluid dynamics models are proving to be more essential than ever for exploring airborne transmission of the coronavirus indoors in order to develop energy-efficient and healthy ventilation actions against Covid-19 risks. The purpose of this paper is to review the most important and influential fluid dynamics models that have contributed to improving building energy efficiency. A detailed, yet understandable description of each model’s background, physical setup, and equations is provided. The main ingredients, theoretical interpretations, assumptions, application ranges, and robustness of the models are discussed. Models are reviewed with comprehensive, although not exhaustive, publications in the literature. The review concludes by outlining open questions and future perspectives of simulation models in building energy research.

Item Type: Article
Research Areas: A. > School of Science and Technology
Item ID: 33764
Notes on copyright: Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license
(http://creativecommons.org/licenses/by/4.0/).
Useful Links:
Depositing User: Tong Yang
Date Deposited: 01 Sep 2021 08:28
Last Modified: 01 Sep 2021 08:28
URI: https://eprints.mdx.ac.uk/id/eprint/33764

Actions (login required)

View Item View Item

Statistics

Downloads
Activity Overview
8Downloads
13Hits

Additional statistics are available via IRStats2.