Sensitivity of Pollutant Concentrations to the Turbulence Schemes of a Dispersion Modelling Chain over Complex Orography

Bellini, Annachiara; Golzio, Alessio; Magri, Tiziana; Ferrarese, S.; Pession, Giordano; Manfrin, M.

doi:10.3390/atmos13020167

Cited by 1 publication

(1 citation statement)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consequently, this lack of understanding of turbulent flows is possibly the most serious obstacle to reach a systematic description of many important engineering and environmental phenomena. Only to quote some, the reduction in energy losses in the movement of cars (Ferraris et al [9], Palanivendhan et al [10], Igali et al [11], Kurec and Piechna [12]) trains (Wang et al [13] and [14], Zhang et al [15]) and aircrafts (Bollt and Bewley [16], Varshney et al [17], Miller et al [18]), the improvement in the efficiency of engines (Kazmouz et al [19], Balmelli et al [20], Krastev and Di Ilio [21]) and the reduction in their noise (Zhong et al [22], Polacsek et al [23], Jun et al [24]), the dispersion of pollutants released in the atmosphere (Bellini et al [25], Huertas et al [26], Defforge et al [27], Di Bernardino et al [28]) or in the ocean (Liang et al [29], Chen et al [30], Lee et al [31]), the weather forecasts (Chiniforoush et al [32], Tsiringakis et al [33], Verbitsky and Khodzinskaya [34]), the atmospheric boundary layers (Di Bernardino et al [35], Lu and Li [36], Tkachenko et al [37]), Barbarosa et al [38]),the mixing and combustion in chemical reactors (Soto et al [39], Janoszek and Masny [40], Mularski and Modli ński [41]), the optimization of turbines (Pacciani et al [42], Duthè et al [43], Yang et al [44]), the study of the air flowing through the lungs (Wu et al [45]…”

Section: Introductionmentioning

confidence: 99%

A Review of Laboratory and Numerical Techniques to Simulate Turbulent Flows

Ferrari

Rossi²,

Bernardino

2022

Energies

View full text Add to dashboard Cite

Turbulence is still an unsolved issue with enormous implications in several fields, from the turbulent wakes on moving objects to the accumulation of heat in the built environment or the optimization of the performances of heat exchangers or mixers. This review deals with the techniques and trends in turbulent flow simulations, which can be achieved through both laboratory and numerical modeling. As a matter of fact, even if the term “experiment” is commonly employed for laboratory techniques and the term “simulation” for numerical techniques, both the laboratory and numerical techniques try to simulate the real-world turbulent flows performing experiments under controlled conditions. The main target of this paper is to provide an overview of laboratory and numerical techniques to investigate turbulent flows, useful for the research and technical community also involved in the energy field (often non-specialist of turbulent flow investigations), highlighting the advantages and disadvantages of the main techniques, as well as their main fields of application, and also to highlight the trends of the above mentioned methodologies via bibliometric analysis. In this way, the reader can select the proper technique for the specific case of interest and use the quoted bibliography as a more detailed guide. As a consequence of this target, a limitation of this review is that the deepening of the single techniques is not provided. Moreover, even though the experimental and numerical techniques presented in this review are virtually applicable to any type of turbulent flow, given their variety in the very broad field of energy research, the examples presented and discussed in this work will be limited to single-phase subsonic flows of Newtonian fluids. The main result from the bibliometric analysis shows that, as of 2021, a 3:1 ratio of numerical simulations over laboratory experiments emerges from the analysis, which clearly shows a projected dominant trend of the former technique in the field of turbulence. Nonetheless, the main result from the discussion of advantages and disadvantages of both the techniques confirms that each of them has peculiar strengths and weaknesses and that both approaches are still indispensable, with different but complementary purposes.

show abstract