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Improving the Energy Efficiency of Buildings Based on Fluid Dynamics Models: A Critical Review

doi: 10.3390/en14175384
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.
- Middlesex University United Kingdom
- University of Zurich Switzerland
- University of Vassa Finland
- JILIN UNIVERSITY China (People's Republic of)
- JILIN UNIVERSITY China (People's Republic of)
690, Technology, ventilation, T, Indoor environment, fluid dynamics models, indoor environment, simulation, buildings, Ventilation, Energy efficiency, Fluid dynamics models, fi=Energiatekniikka|en=Energy Technology|, Buildings, Simulation, energy efficiency
690, Technology, ventilation, T, Indoor environment, fluid dynamics models, indoor environment, simulation, buildings, Ventilation, Energy efficiency, Fluid dynamics models, fi=Energiatekniikka|en=Energy Technology|, Buildings, Simulation, energy efficiency
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).4 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
