Fast and dynamic urban neighbourhood energy simulation using CFDf-CFDc-BES coupling method

Zhang, Ruijun; Mirzaei, Parham A.

doi:10.1016/j.scs.2020.102545

Cited by 7 publications

(5 citation statements)

References 36 publications

(41 reference statements)

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“…Particularly, in a previous study, the advection flow between zones was coupled for buildings 21 ; however, the primary focus was on energy and comfort, and the results deviated from the basic design knowledge used in practice. Several coupled ES–CFD analyses for atrium spaces have been reported.…”

Section: Introductionmentioning

confidence: 83%

Guidelines for implementing advanced thermal analysis methods in building design

Yamamoto

Taniguchi²

2023

Indoor and Built Environment

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Although the thermal environment of buildings with thermally complex building envelopes can be predicted, comprehensive guidelines are not available for designers to implement the thermal-environment analysis. Therefore, this study examines the application scope of advanced thermal-analysis methods from the designers’ perspective. The results of the simple model were consistent with the experimental values, with an error of approximately 0.5°C. The analytically determined convective heat-transfer-coefficient values were within 0.3–0.5°W・m2K, and the difference in the predicted values between the results of the simplified and detailed models was minor. The convective heat transfer coefficient calculated using the reference temperature defined at the dimensionless distance y+ was more accurate than that was obtained using the general energy simulation incorporating the boundary-layer theory. Although the simplified advection rate had a maximum error of approximately 150 m3/h, it was considered acceptable. The differences amongst the zones were less than 0.59°C, which is considered minor. The results obtained by using summer advection were sufficiently accurate. Furthermore, the dew-point temperature was used to evaluate the risk of dew condensation. Specifically, the results indicated that the introduction of outside air increased the risk of condensation on the floor.

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Section: Introductionmentioning

confidence: 83%

Guidelines for implementing advanced thermal analysis methods in building design

Yamamoto

Taniguchi²

2023

Indoor and Built Environment

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“…Several BES tools have been developed over the years, such as DOE-2 [18], Transient Systems Simulation (TRNSYS) [19,20], e-Quest [21], and EnergyPlus [22]. Among them, EnergyPlus is the most widely used tool [23][24][25]. Historical hourly weather data are acquired through the EnergyPlus Weather (EPW) file, available on the official website of EnergyPlus.…”

Section: Building Energy Modelingmentioning

confidence: 99%

Integrating Urban Heat Island Impact into Building Energy Assessment in a Hot-Arid City

et al. 2023

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Dense cities usually experience the urban heat island (UHI) effect, resulting in higher ambient temperatures and increased cooling loads. However, the typical lack of combining climatic variables with building passive design parameters in significant evaluations hinders the consideration of the UHI effect during the building design stage. In that regard, a global sensitivity analysis was conducted to assess the significance of climatic variables and building design features in building energy simulations for an office building. Additionally, this study examines the UHI effect on building energy performance in Qatar, a hot-arid climate, using both measurement data and computational modeling. This study collects measurement data across Qatar and conducts computational fluid dynamics (CFD) simulations; the results from both methods serve as inputs in building energy simulation (BES). The results demonstrate that space cooling demand is more sensitive to ambient temperature than other climatic parameters, building thermal properties, etc. The UHI intensity is high during hot and transition seasons and reaches a maximum of 13 °C. BES results show a 10% increase in cooling energy demand for an office building due to the UHI effect on a hot day. The results of this study enable more informed decision-making during the building design process.

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“…SOLENE was in the following extended with a CFD code to SOLENE-Microclimate and used in several other studies [61][62][63][64]. Zhang et al [65] and Zhang and Mirzaei [66,67] propose different, complex type C frameworks for coupling ANSYS Fluent and in one case ANSYS CFX with EnergyPlus. Most studies addressed the building energy performance [61][62][63][64][65][66][67][68][69][70][71][72][73][74][75][76][77][78][79][80].…”

Section: Introductionmentioning

confidence: 99%

“…Zhang et al [65] and Zhang and Mirzaei [66,67] propose different, complex type C frameworks for coupling ANSYS Fluent and in one case ANSYS CFX with EnergyPlus. Most studies addressed the building energy performance [61][62][63][64][65][66][67][68][69][70][71][72][73][74][75][76][77][78][79][80]. Others addressed the impact of the built environment on microclimatic conditions [81][82][83][84][85], the efficiency of cooling systems [56,57,86], or methods to include and distribute BC in CFD [87,88].…”

Section: Introductionmentioning

confidence: 99%

Assessing the impact of urban microclimate on building energy demand by coupling CFD and building performance simulation

Brozovsky

Radivojevic

Simonsen

2022

Journal of Building Engineering

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Fast and dynamic urban neighbourhood energy simulation using CFDf-CFDc-BES coupling method

Cited by 7 publications

References 36 publications

Guidelines for implementing advanced thermal analysis methods in building design

Guidelines for implementing advanced thermal analysis methods in building design

Integrating Urban Heat Island Impact into Building Energy Assessment in a Hot-Arid City

Assessing the impact of urban microclimate on building energy demand by coupling CFD and building performance simulation

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