Construction Industry Webcast Series: The Central Role of Engineering Simulation for Building Information Modeling
In the architecture engineering and construction (AEC) industry, there is no prototype: The cost and time required for construction is such that the first prototype is usually the final building. So it is not surprising that this industry widely embraces virtual prototyping through engineering simulation to troubleshoot and optimize any project. Once dedicated to the structural stability and integrity of the construction, new models are now considering the entire spectrum:
- Stability and integrity of the building
- External wind engineering
- Fire and smoke propagation
- Smart buildings and smart cities
Application of Computational Fluid Dynamics (CFD) in the Built Environment
Air is the primary carrier of heat, moisture and contaminants in and around built environments. Airflow patterns determine the distribution of temperature, contaminant levels and air quality, as well as the thermal comfort of occupants. Poor airflow management in an HVAC design is often detected only after commissioning and occupancy — when it’s likely too late to mitigate performance issues.
In this webinar, you will learn how computational fluid dynamics (CFD) can help identify potential risks associated with poor airflow management early in the design phase, and optimize HVAC systems for effective, energy-efficient performance. Additionally, several case studies will illustrate how CFD can solve your challenges across a variety of scenarios/environments, including displacement ventilation, active and passive chilled beams, airflow patterns in enclosed spaces, radiant heating and cooling, smoke propagation in atria and plume dispersion from cooling towers. An industry expert will also discuss clean rooms, patient rooms, laboratories and other applications in the built environment.
Air Pollution is Not an Inevitable Byproduct of Economy: Simulation Helps to Clean Air Despite Increasing Industrial Activity
Air pollution is probably one of the most serious environmental problems confronting us today. More than 7 million people are dying prematurely every year due to health issues linked to Air pollution*. Economic growth in the course of urban development is causing serious air pollution problems in many cities across the globe. Human activities such as transportation, construction, industrial activity, mining, agriculture, etc. are the primary sources of air pollution. It is usually defined as the presence of compounds or chemicals at levels which pose a health risk. The limit of pollutant levels set by the World Health Organization has led to increased research activity in predicting and reducing pollution.
Use of Computational Fluid Dynamics (CFD) as a tool for assessing the pollution-dispersion impact on the environment is increasing due to its cost effectiveness and accuracy of predictions. CFD models can be effectively utilized to predict the dispersion and dilution of the pollutants in the atmosphere using the emissions, prevailing meteorological conditions and street configurations to determine the ambient air concentrations. Engineers and designers can also simulate a combination of equipment and process parameters over a wide range of applications causing pollution.
View this webinar to learn how ANSYS fluid dynamic solutions provide insight and detailed understanding of the formation and dispersion of pollutants as well as effective ways to analyze and improve the overall air quality.
Coolsim: CFD Made Easy to Improve Energy Efficiency in Your Data Center
Many data centers pay twice for their power: once to power the servers and once again to reject the residual heat that results from them. Correctly managing the airflow in a data center can reduce power consumption by 30 percent or more, but knowing what to do to improve the airflow can be a guessing game. By using a predictive tool based on proven science, you will quickly know what to do, and the effect it will have on your power consumption.
Join us as Paul Bemis, president and CEO of Applied Math Modeling, discusses how Coolsim can be used in a variety of data center designs to analyze and optimize airflow. Based on the predicted airflow, we will discuss what can be done, and the results of those changes. Discover how the visual aspect of CFD modeling reveals ways to improve the airflow, and how to perform “what-if” simulations to prove that the proposed solution works (or doesn’t) before implementation.
You will lean:
- How cooling efficiency affects the overall power usage effectiveness (PUE)
- How the cooling unit’s "coefficient of performance" interacts with the overall PUE
- What key parameters can be adjusted to obtain the greatest improvements for the least investment