Quantifying Impacts of Urban Microclimate on a Building Energy Consumption—A Case Study

Liu, Jiying; Heidarinejad, Mohammad; Nikkho, Saber Khoshdel; Mattise, Nicholas; Srebric, Jelena

doi:10.3390/su11184921

Cited by 22 publications

(11 citation statements)

References 49 publications

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“…The CFD simulations were performed using ANSYS Fluent 19.0, ANSYS Inc., USA [46], which is a commercial code commonly used in different industries [47][48][49][50][51][52][53], and is also being used to analyse the ventilation requirements for optimal agricultural production [54][55][56], mainly to reduce the energy consumption [55,57] based on the temperature/air humidity analysis [58]. ANSYS Fluent uses the Finite Volume method, in which the domain of interest is divided into numerous small, non-overlapping control volumes or cells to develop the mesh.…”

Section: Methodsmentioning

confidence: 99%

Study of the Effects of Vent Configuration on Mono-Span Greenhouse Ventilation Using Computational Fluid Dynamics

et al. 2020

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The rise in the human population, its density and scarcity of resources require cost-effective solutions for sustainable energy and water resources. Smart and sustainable agriculture is one important factor for future green cities to tackle climate change as a cost-effective solution to save energy and water. However, greenhouses (GH) require consistent ventilation due to their internal temperatures, and this can be an energy-intensive operation. Therefore, it is necessary to analyse the potential factors involved. In this study, the effect of vent configuration of a mono-span greenhouse with roof and side vents at low wind speeds was investigated using computational fluid dynamics (CFD). The validated simulations were then performed on different models to analyse the effects of the vents’ locations on the ventilation requirements. The side vents were found to contribute most to the ventilation. The position of the side vent was found to affect the convection loop in the greenhouse and the air velocity at the plant level. The humidity was shown to be highest under the windward side vent. The roof vent was found to affect the temperature and air velocity in the roof of the greenhouse but had very little effect on the distributions at the plant level.

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Section: Methodsmentioning

confidence: 99%

Study of the Effects of Vent Configuration on Mono-Span Greenhouse Ventilation Using Computational Fluid Dynamics

et al. 2020

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“…-At the peak velocity during the daytime, the correlation of Montazeri and Blocken [44] and Montazeri et al [43] consistently shows the maximum value of the convective thermal load for the windward, leeward, and roof surface, as shown in Figure 4. Whereas Liu et al's [37] correlation developed in terms of V10, Liu et al [42] and Liu et al [39] give the lowest value for the windward, leeward and roof surface. -When the wind velocity is very low (the measurement accuracy of the velocity is ±1.1 m/s or 4% of the reading, whichever is greater), the correlations of Liu et al [39] and Liu et al [37] show a non-zero thermal load value for the windward, leeward, and roof surface, unlike other correlations.…”

Section: Assessment Of Convective Heat Transfer Coefficient Correlati...mentioning

confidence: 90%

A Review on Prediction Uncertainty in Exterior Heat Transfer Coefficient-Based Building Thermal Load: A Case of Microclimate

Kadam¹,

Hassan²,

Wang³

et al. 2023

IJCMEM

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A correct prediction of building cooling load is essential in building energy consumption in a hot and humid urban area. To this extent, the current study emphasizes a meticulous review of different convective heat transfer coefficient correlations including those developed considering neighbourhood microclimate effect, and the existing ones used in building energy simulation programs such as EnergyPlus, Environmental Systems Performance -Research (ESP-r), Integrated Environmental Solutions Ltd (IES), IDA, and TAS. Furthermore, rigorous quantitative assessment of associated convective thermal load from the windward, leeward, and roof surfaces under the case of microclimatic conditions is performed. The data used in the current assessment are computational fluid dynamics results, as a reference, from previously published data and actual weather data from the hot and humid climate. It is observed that very few convective heat transfer coefficient correlations show closer predicted thermal load (deviation less than 30%) with computational fluid dynamics results, and others exhibit a varying degree of prediction ability with over-predictions in general for the windward, leeward and roof surfaces. Current analysis suggests that further attention is required to increase the prediction ability of convective heat transfer coefficient correlations by developing a convective heat transfer coefficient model considering computational fluid dynamics analysis of the whole district, validating and modifying or redefining existing convective heat transfer coefficient correlations based on real field measurement data considering flow field around the building, and incorporation of urban morphology, vegetation, urban heat island, and urban pollution level in convective heat transfer coefficient correlations development.

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“…Generally, wind speed and temperature both have a significant negative impact on building heating EUI in severe cold regions; meanwhile, relative humidity shows a positive impact. Studies have provided evidence that the urban climate environment has influences on the external surface convective heat transfer coefficient and air infiltration, and the coefficient of performance for the HVAC system, resulting in variation in building energy consumption [ 68 , 69 ]. Lower wind speed can reduce the heat loss from the surface and higher temperatures can raise the internal temperature of the building.…”

Section: Discussionmentioning

confidence: 99%

Impact of Urban Morphology and Climate on Heating Energy Consumption of Buildings in Severe Cold Regions

Song

Han³

et al. 2020

IJERPH

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This study aims to acquire a better understanding of the quantitative relationship between environmental impact factors and heating energy consumption of buildings in severe cold regions. We analyze the effects of five urban morphological parameters (building density, aspect ratio, building height, floor area ratio, and shape factor) and three climatic parameters (temperature, wind speed, and relative humidity) on the heating energy use intensity (EUI) of commercial and residential buildings in a severe cold region. We develop regression models using empirical data to quantitatively evaluate the impact of each parameter. A stepwise approach is used to ensure that all the independent variables are significant and to eliminate the effects of multicollinearity. Finally, a spatial cluster analysis is performed to identify the distribution characteristics of heating EUI. The results indicate that the building height, shape factor, temperature, and wind speed have a significant impact on heating EUI, and their effects vary with the type of building. The cluster analysis indicated that the areas in the north, east, and along the river exhibited high heating EUI. The findings obtained herein can be used to evaluate building energy efficiency for urban planners and heating companies and departments based on the surrounding environmental conditions.

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Quantifying Impacts of Urban Microclimate on a Building Energy Consumption—A Case Study

Cited by 22 publications

References 49 publications

Study of the Effects of Vent Configuration on Mono-Span Greenhouse Ventilation Using Computational Fluid Dynamics

Study of the Effects of Vent Configuration on Mono-Span Greenhouse Ventilation Using Computational Fluid Dynamics

A Review on Prediction Uncertainty in Exterior Heat Transfer Coefficient-Based Building Thermal Load: A Case of Microclimate

Impact of Urban Morphology and Climate on Heating Energy Consumption of Buildings in Severe Cold Regions

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