Submitted:
04 January 2023
Posted:
05 January 2023
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Abstract
Keywords:Â
1. Introduction
2. Research Area and Data:
2.1. Climatic Conditions
2.2. An Urban Planning of Alazhari City(Urban of Khartoum State)
3. Materials and Methods
3.1. Design Approach of Energy Consumption in a Housing Considering of the Climate of Khartoum
3.1.1 Planning Strategies and Method
3.1.3. Position and Size of Windows
3.1.4. Air Movement and Draught Control
3.1.5. Computational Simulation used IES (VE) v5.9.0.3 Software
3.1.6. The Modeling and Simulation Process
- Ventilation
3.1.7. Detailed of Site Description
4. Dissections and Results
4.1. Low-Energy House Technology Options at Alazhari City (Urban of Khartoum State)
4.2. IES Virtual Environment> (IES VE>) was used for computational simulation.
4.3. Simulated Weather Data Analysis
4.3.1. Radiance Energy Plus Integration
4.3.2. Air Movement and Ventilation
4.4. Inputs and Assumptions for the Simulation
4.4.1. Cooling by Natural Ventilation in Alazhari City
4.4.2. Design and Control of Ventilation in a House
4.5. Boundary Conditions
4.5.1. Atmospheric Boundary Conditions
4.5.2. Simulated Wind
4.5.3. Selection of the Best, Worst and the Average Unit
4.6. Analysis of the Best, Worst and Average Case Situation
4.6.1. Best Case Situation
4.6.2. Worst Case Situation
4.6.3. CFD Simulation Situation
4.8. Saving Energy
4.9. Validation
- -
- The effects of physical diffusion are subjected to the same restrictions. Buildings in suburban and urban regions, which are dominated by high-velocity wind jets through channels between buildings, are predicted to feel at least the same, if not more severe, effects [73,74]. Natural ventilation was the only method considered for this analysis. To better understand how physical diffusion influences one-sided ventilation flow, more research is needed. Considering these limitations, itâs worth noting that: - To our knowledge, this is the first study to examine the impacts of physical diffusion on cross-ventilation flow in the Khartoum area in such depth. There is no agreement in the scientific literature on how to obtain turbulent kinetic energy profiles from the recorded mean wind speed and turbulence intensity profiles, therefore understanding the impacts of physical diffusion is essential. [4,75] propose a parameter value of a = 1, which was found to be optimal in the current investigation. Computational grids for suburban and urban configurations are generally very unstructured grids, on which convergence can only be attained by introducing adequate diffusion, utilizing the schemes as a result of these types of configurations [74,76].
- -
- The size of the upstream standing current is reduced, and the jetâs spread inside the buildings is widened, as shown by the velocity-vector fields. Inside the structure, the effects were most obvious along the central axis between the apertures, while outside the building, they were more muted.
5. Conclusions
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