Ajitkumar Ananthu Jeyakumar | Blog | SimScale Engineering simulation in your browser Thu, 07 Sep 2023 15:00:50 +0000 en-US hourly 1 https://wordpress.org/?v=6.4.2 https://www.simscale.com/wp-content/uploads/2022/12/cropped-favicon-32x32.png Ajitkumar Ananthu Jeyakumar | Blog | SimScale 32 32 Building Simulation in the Cloud https://www.simscale.com/blog/building-simulation-in-the-cloud/ Tue, 20 Dec 2022 12:34:55 +0000 https://www.simscale.com/?p=61508 With an average increase in the urban population of about 1.8 % over the last three years, the need for improving existing...

The post Building Simulation in the Cloud appeared first on SimScale.

]]>
With an average increase in the urban population of about 1.8 % over the last three years, the need for improving existing buildings or new building developments has remained constant. Increasingly progressive sustainability targets for the built environment mean the guidelines for buildings have become more stringent. To keep up with these design requirements, the use of virtual design tools and strategies is needed to meet the requirements and accelerate the planning/execution time. Computational Fluid Dynamics (CFD) has proven to be a feasible and faster way of approaching building design virtually. Simulations can be used at multiple stages of a building design starting from microclimate assessment using building massing, selection of ventilation components, occupant comfort assessments, and analysis to check for regulatory compliance. Considering the complexity and scale of analysis required for building simulations, either an external flow analysis or an indoor environmental analysis study, it is vital to have powerful processing power and memory. With SimScale’s cloud-native approach, engineers can perform such simulations without investing in expensive hardware. With just a web browser and a standard internet connection, engineers and designers can easily access high-fidelity simulations anywhere and anytime.

SimScale offers a collaborative simulation platform, where the entire analysis can be shared or even worked on by team members. SimScale works with many common CAD authoring tools such as Rhino®, Revit®, Sketchup, and AutoCAD®, making it convenient to import and edit even complex geometry.

CFD for Building Simulation

One of the major requirements in performing building simulations is to support and handle complex geometries. Often an external wind simulation is based on city-scale models with a high level of detail. Models prepared for architectural designs might contain interferences, gaps, open shells, and in most cases a detailed topography of the terrain. Some models have their roots from direct drone 3D scans and this makes it a cumbersome task to prepare them for traditional simulation tools. With SimScale’s Incompressible (LBM) and Pedestrian Wind Comfort (PWC) analysis, the traditional CAD requirements are largely mitigated. The Lattice Boltzmann method (LBM) solver (pacefish®) within SimScale is specifically designed for such applications with complex geometries. Its unique meshing methodology differs from traditional finite volume meshing, making it a robust approach to handling CAD imperfections with little or minimal manual effort. In addition to the robust CAD handling, pacefish®’s LBM is a GPU-based solver which can easily speed up simulations with large parallelizations. For example, a coarse microclimate study (transient) on a new building development at the center of Rotterdam city takes about 24 minutes to analyze 8 different wind directions. To take a look at the project please refer to our Advanced Tutorial on Pedestrian Wind Comfort.

Visualization of transient velocity plot at pedestrian level

Although many external building aerodynamics are considered at an early stage where absolute accuracy is not important, it is important to have confidence in the results. To know how SimScale’s external AEC solution performs, please take a look at our validation cases.

When it comes to new building development, or assessing the performance of an existing building, the indoor environment plays a major role. With an increasing number of people spending time indoors, it is important to avoid a lack of fresh air and poor indoor air quality which might lead to health issues. The Health and Safety Executive (HSE) from the government of the UK mentions that occupant comfort is not just a law but is also associated with certain benefits for office workers including improved concentration and better quality of work. With specific regulations in place for work or public spaces, it is critical to analyze the ventilation requirements with different configurations to arrive at an optimal HVAC strategy. SimScale serves as a single platform to perform a broad range of physics. With SimScale’s thermal and heat transfer capabilities, architects and engineers can easily assess the ventilation requirements by testing different strategies including natural or forced ventilation, building fabric performance, or thermal bridging effects. In the next sections, we will be looking at two examples where SimScale was used to predict the microclimate of a residential building and the thermal performance of a building fabric.

Simulating the Microclimate

The following is one such example where we analyze a new low-rise building in the center of Nottingham, UK. The residential building under development has large commercial buildings surrounding it. The goal of this CFD analysis is to predict how the flow around the building affects the surrounding urban environment for wind comfort and in turn the comfort and natural ventilation of the building itself. A detailed wind comfort study is made around the interested building to assess the likely performance of a naturally ventilated ground floor office.

cad model of building in nottingham, uk
CAD Model of the residential building with surroundings

A pedestrian wind comfort analysis is set up using the CAD model of the residential building with its surroundings. To get detailed wind characteristics around the building, 8 wind directions were simulated using the integrated wind data from meteoblue. The influence of the building in the vicinity is assessed using the Lawson LDDC wind comfort criteria. Based on the geographical location of the study, there are specific wind comfort and wind safety criteria to determine if a space is suitable for certain pedestrian activities. A list of default wind comfort criteria available in SimScale can be found in this article.

visualization of lawson lddc comfort criteria
Visualization of Lawson LDDC comfort criteria around the building of interest

Wind criteria assessment shows that the area around the new building is well suited for most pedestrian activities. On the other hand, the secondary objective was to determine if the proposed site configuration can affect the ventilation requirements of the building’s ground floor. Wind pressure coefficients are usually used as inputs for simulations involving natural ventilation. Pressure coefficients can be obtained from CFD or wind tunnel tests, particularly in dense urban areas with complex context and topology. Air naturally flows from high pressure to low pressure, and we can use this information at an early stage to understand and control a building’s natural ventilation openings. Pressure coefficients provide an easy way to assess this, where higher values represent high pressure, and lower values represent lower pressure. Natural ventilation can be designed by changing the site layout, building shape, or even the addition of shapes to control flow such as trees and bushes. In addition to the pressure coefficients, the transient velocity and pressure results written out from the simulation can be used to predict the influence of 3D wind effects on ventilation.

ventilation strategy visualizations
Single-sided ventilation (left), cross ventilation (middle), and stack ventilation (right)

Modeling the Indoor Environment

The thermal performance of building fabric has a significant impact on the energy and comfort performance of the building. The following CFD analysis describes the impact of choosing different building fabrics including insulation layers for the walls and window glazing. 

The aim of this study is to quantify the total heat loss from surfaces and rooms in the building to assess the building’s efficiency in regard to the existing and modified building fabric. The considered building space has several HVAC supplies and outlets modeled according to a winter scenario.

cad model visualization of case
Case description with supplied conditions for an indoor ventilation study

A 3D model of a three-story building is analyzed using the robust Conjugate Heat Transfer V2 analysis to determine its thermal efficiency. For demonstration purposes, a sample office room section with an occupant, furniture, and window facing the sun is the focus. The base configuration has specified U values on the walls and roof. The minimum requirements for the insulation are based on the Building Regulations – England. The table below encompasses six different variations in the level of insulation and glazing considered for this study.

Design VariationsDescription
BaseSingle glazed – No insulation on external walls and roof
Variation 1Double glazed – No insulation on external walls – Insulated roof
Variation 2Double glazed – Wood insulation on external walls – Insulated roof
Variation 3Double glazed – Phenolic insulation on external walls – Insulated roof
Variation 4Triple glazed – No insulation on external walls – Insulated Roof
Variation 5Triple glazed – Wood insulation on external walls – Insulated Roof
Variation 6Triple glazed – Phenolic insulation on external walls – Insulated Roof

The insulation and roof configurations based on the regulations are applied with layer wall thermal inputs in the simulation. Three window panel configurations were used in this study ranging from single to triple glazing with R values of 0.172, 0.833, and 1.429 respectively. The external walls are tested with wood fiber and phenolic foam insulations. The properties of the walls insulation are as follows: 

  • Wood Fibre
    • R-Value: 2.95 (K m²/W)
  • Phenolic Foam
    • R-value: 4.65 (K m²/W)

One of the key outputs from the simulation is the wall heat flux (W/m²) on the surfaces which gives us the amount of heat loss to predict the efficiency of the insulation layers and window glazing.

Design VariationsDescription% Heat loss decrease (W)Relative Increase in Room Temp (°C)
Variation 1Double glazed – No insulation on external walls – Insulated roof23.31.1
Variation 2Double glazed – Wood insulation on external walls – Insulated roof24.151.3
Variation 3Double glazed – Phenolic insulation on external walls – Insulated roof28.01.5
Variation 4Triple glazed – No insulation on external walls – Insulated roof27.61.6
Variation 5Triple glazed – Wood insulation on external walls – Insulated roof29.371.6
Variation 6Triple glazed – Phenolic insulation on external walls – Insulated roof32.51.8

The relatively lower thermal conductivity of Phenolic foam provides an excellent insulation character to the walls, thereby restricting the flow of heat into the building. The results from variation 6 with Phenolic insulation on the external walls and an insulated roof leads to a total reduction of heat loss of about 33% when compared to the base configuration. This in turn improves the thermal comfort of the occupants inside the office room. The temperature measurement shows 16.5 °C at the human chest level. 

simulation visualization of wall heat fluxes
Comparison of Wall Heat Flux values on the surfaces of the building

How Can Architects and Engineers Get Started With Simulation?

SimScale enables architects and engineers to use cloud-native computational fluid dynamics (CFD) simulation to model:

  • External wind comfort and safety
  • Indoor thermal comfort and overheating
  • Ventilation and air quality
  • Solar gains and fabric energy efficiency

Designers can benefit from fast and accurate heat loss predictions, as well as the ability to visualize heat conduction through the building envelope, akin to those generated by thermal infrared photography.

Transient velocity plot across the height of the building (left) and visualization of temperature on the surface of the building (right)

Be sure to watch these on-demand webinars to learn more:

Simulating Building Performance

Simulating Building Performance

Learn how to simulate microclimate, thermal comfort, fabric energy efficiency, solar gains, and indoor air quality all from your web browser.

Darren Lynch Application Engineer
fabric first building fabric simulation

Fabric First: CFD for Passive Environmental Design

Learn how to model the thermal performance of the building fabric and evaluate energy efficiency options using powerful engineering simulation in the cloud.

Darren Lynch Application Engineer

Set up your own cloud-native simulation via the web in minutes by creating an account on the SimScale platform. No installation, special hardware or credit card is required.

The post Building Simulation in the Cloud appeared first on SimScale.

]]>
HVAC Components: Increased Performance with CFD Simulation https://www.simscale.com/blog/hvac-components/ Thu, 09 Dec 2021 12:30:28 +0000 https://www.simscale.com/?p=48550 With the growing importance of sustainable living environments, it is essential to make sure the products we use for ventilation...

The post HVAC Components: Increased Performance with CFD Simulation appeared first on SimScale.

]]>
With the growing importance of sustainable living environments, it is essential to make sure the products we use for ventilation are efficient as well. To design and create heating, ventilation, and air conditioning (HVAC) components with higher performance, analyzing them for aerodynamic and pressure-flow characteristics is critical. Most types of ventilation systems need to be designed to have maximum airflow through them while reducing the pressure losses across the unit. While assessing the efficiency of the designed equipment, different parameters such as blade or fin angle on a diffuser come into play. One of the most robust tools for manufacturers, suppliers, and engineers to optimize airflow performance is to perform computational fluid dynamics (CFD) simulations in the cloud.

Cloud-Native CFD Simulation and SmartLouvre

The first approach to optimize the design is to focus on the individual components of the unit by conducting a componential level analysis, in which the pressure drop through the dampers, grills, air filters, and louvres is examined. With the power of the CFD simulations being run fast and easily on the cloud, airflow around the individual components can be assessed, and how these individual HVAC components are affecting the aerodynamics within the unit can be understood with the help of the visualizations obtained via post-processing. 

A 3D model of MicroLouvre model simulated using SimScale’s cloud-based platform. Courtesy of Smartlouvre MicroLouvre™

One such componential level analysis was performed by Smartlouvre to investigate the performance characteristics of a microfiber louvre design. Louvres are commonly attached to external windows to enhance the glazing and shading quality. SimScale was used to evaluate the pressure-flow characteristics of the MicroLouvre to determine an appropriate discharge coefficient (Cd).

The Cd value is a key property used in almost all building simulation tools to model the airflow in and out of building openings. This functional device was analyzed using simulations that replicated the wind tunnel set up at various wind speeds and angles. The result is a Cd value of 0.39, which can be inputted directly into any thermal modeling software such as IES, TaS, and DesignBuilder for simulating the airflow through a MicroLouvre Screen.


Watch our on-demand webinar where we explore how Smartlouvre used experimental data on the airflow, solar, thermal, and structural properties of MicroLouvre to simulate the overall performance of their unique MicroLouvre product for a low energy building design.


Simulation: From HVAC Component to Spatial Level Analysis

The second approach is to extend the focus within the design and analyze the whole HVAC unit, such as air handling, air conditioning, and diffuser units. By using SimScale’s CFD solution, the performance of the whole HVAC unit can be accurately predicted. Based on the aerodynamic quality within these units it can be assessed whether the design needs to be optimized further, to maximize the performance. Such design iterations might take days of work and a significant amount of cost if these analyses are done via physical testing. But by leveraging cloud-native CFD simulation, engineers can take advantage of virtual testing which can be completed much faster, more cost-efficiently, and are far more scalable in terms of design variations.

ventilation unit flow analysis
Air handling unit analysis using SimScale

After assessing the performance of the individual parts and also the whole unit, the last approach would be to conduct a spatial level analysis to decide on the sizing of the unit, its position within the considered space, and the number of units to be placed within the space. These factors are determined based on the thermal comfort of occupants. By using the power of numerical simulations, multiple scenarios can be analyzed, investigating the performance of an HVAC unit when installed in different ways. The performance of the ventilation unit within the considered space can be enhanced by not only considering the airflow through the unit but also by assessing whether the thermal environmental conditions are accepted by the majority of the occupants.

thermal comfort analysis in simscale
Thermal comfort analysis using SimScale to determine the occupant comfort.

In addition to enabling a cost-effective approach for testing HVAC equipment, from the component level all the way through spatial level analysis, simulations can provide extensive insights on the individual components which might be tedious for the sensor-based experimental approach. This, in turn, provides a better understanding of ventilation equipment and helps engineers and designers make design decisions accurately for an improved thermal experience and increased energy efficiency.


In our on-demand webinar with ASHRAE, our simulation experts show you how to get started with analysis types such as CFD and thermal simulation, using multiple case studies.


Explore even more resources from SimScale on testing, validating, and optimizing your HVAC designs through CFD, heat transfer, and thermal analysis:

Set up your own cloud-native simulation via the web in minutes by creating an account on the SimScale platform. No installation, special hardware or credit card is required.

The post HVAC Components: Increased Performance with CFD Simulation appeared first on SimScale.

]]>