The impacts of evaluation indices and normalization methods on E-TOPSIS optimization of return vent height for an impinging jet ventilation system

Qin, Chao; Wu, Shihai; Fang, Hongqiang; Lu, Wangtao

doi:10.1007/s12273-022-0914-z

Cited by 6 publications

(10 citation statements)

References 54 publications

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“…Additionally, several studies have reported that lower vents lead to a shorter circuit of supply air to the return vent and leave the upper part of the space with older air, indicating worse air quality [4,16,22,24]. The PMV in the OZ is mainly determined by the supply temperature and supply airflow rate because the treated air is directly supplied to the OZ.…”

Section: The Theoretical Analysismentioning

confidence: 99%

“…A detailed discussion of the performance indices is given in ref. [22]. Q coil is taken as the measure of energy consumption, as follows:…”

Section: Ventilation Performance Indicesmentioning

confidence: 99%

“…In the TOPSIS method, similarity values are calculated according to the distance of each alternative with respect to positive and negative ideal solutions, and then the alternatives are ranked based on their similarity values. The detailed procedure of the E-TOPSIS [2,22,33,34] method is shown in Figure 3.…”

Section: Optimization Algorithm: Entropy-based Topsismentioning

confidence: 99%

“…Similar to ref. [22], this investigation employs a series of performance metrics including the mean age of air (MAA) in the OZ, cooling coil load (Q coil ), mean concentration of CO 2 in the OZ, ∆T 0.1-1.1 , predicted percentage of dissatisfied (PPD), draft rate (DR), and predicted mean vote (PMV) index. Thereafter, a computational fluid dynamics (CFD) model is rigorously verified (including a grid independence test) and then applied to obtain the performance matrix under various H values.…”

Section: Introductionmentioning

confidence: 99%

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Optimizing the Return Vent Height for Improved Performance in Stratified Air Distribution Systems

Qiao,

Wu,

Zhang

et al. 2024

Buildings

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One of the factors that strongly impacts the efficacy of stratified air distribution (STRAD) systems is the return vent height (H), for which different studies have yielded different suggested values. This theoretical research uses a displacement ventilation (DV) system as an example to examine how the H affects the efficacy of STRAD systems through analysis of the trade-offs between the cost of the vertical temperature gradient and the benefits of energy reduction. The key results are as follows: (a) The energy savings due to a lower H are smaller than the cost of the vertical temperature gradient for all STRAD systems. (b) With a supply temperature (Ts) set at 18 °C, elevated return vent positions can result in excessively cooled areas, while extremely low vent positions create a temperature gradient exceeding 3 °C between the head and ankles. (c) The TOPSIS methodology reveals that the optimal H value lies in the range of 1.5–2.3 m when Ts is 18 °C. (d) When adjusting the Ts value to achieve thermal neutrality, 2.3 m is identified as the optimal H value, demonstrating superior performance over the 1.5 m to 2.3 m range at 18 °C Ts. These findings highlight the benefit of a higher H for STRAD systems and the significance of configuring ventilation systems for thermal neutrality.

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Section: The Theoretical Analysismentioning

confidence: 99%

“…A detailed discussion of the performance indices is given in ref. [22]. Q coil is taken as the measure of energy consumption, as follows:…”

Section: Ventilation Performance Indicesmentioning

confidence: 99%

Section: Optimization Algorithm: Entropy-based Topsismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimizing the Return Vent Height for Improved Performance in Stratified Air Distribution Systems

Qiao,

Wu,

Zhang

et al. 2024

Buildings

Self Cite

View full text Add to dashboard Cite

show abstract

“…Firstly, previous research on IJV performances focused primarily on small enclosures or spaces with few rows of occupants. For instance, Qin et al [ 19 , 21 ] and Ye et al [ 22 ] reported CO 2 distribution in a small office with two staff; Wang et al [ 20 ] investigated the contaminant removal for an intensive care unit occupied by four occupants. Secondly, investigations about IJV systems focused mainly on thermal comfort, IAQ, and energy saving, while IJV system's performance on the risk of cross-infection is rarely studied.…”

Section: Introductionmentioning

confidence: 99%

Transmission mitigation of COVID-19: Exhaled contaminants removal and energy saving in densely occupied space by impinging jet ventilation

Qin

Zhang

et al. 2023

Building and Environment

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Diffusion characteristics of oxygenic–thermal coupled airflow in high-altitude sleeping environment

Song,

Li,

Liu

et al. 2024

Build. Simul.

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The impacts of evaluation indices and normalization methods on E-TOPSIS optimization of return vent height for an impinging jet ventilation system

Cited by 6 publications

References 54 publications

Optimizing the Return Vent Height for Improved Performance in Stratified Air Distribution Systems

Optimizing the Return Vent Height for Improved Performance in Stratified Air Distribution Systems

Transmission mitigation of COVID-19: Exhaled contaminants removal and energy saving in densely occupied space by impinging jet ventilation

Diffusion characteristics of oxygenic–thermal coupled airflow in high-altitude sleeping environment

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