Cement Plant Conditioning Tower
Application Model Overview In cement production, preheating and cooling steps play a vital role in optimizing energy use and ensuring the longevity of equipment. A key component in this process…
Application Model Overview In cement production, preheating and cooling steps play a vital role in optimizing energy use and ensuring the longevity of equipment. A key component in this process…
Application Model Overview Steam methane reforming (SMR) is a leading method of hydrogen (H2) production, but it typically releases large amounts of CO2. Sorbent-enhanced SMR (SE-SMR) integrates carbon capture directly…
Application Model Overview As global energy demands grow, finding sustainable alternatives to conventional energy sources is critical. Among these alternatives, bioenergy technologies like biodiesel have gained prominence for their reduced…
Application Model Overview Dry reforming of methane (DRM) offers a way to reduce greenhouse gas emissions by converting methane (CH4) and carbon dioxide (CO2), two key biogas components, into valuable…
This presentation by Frederik Zafiryadis at the 2022 Barracuda Virtual Reactor Users’ Conference discusses a computational particle fluid dynamics (CPFD) model for simulating the sugar cracking reaction in a pilot-scale riser.
This presentation by Sina Tebianian at the 2022 Barracuda Virtual Reactor Users’ Conference discusses the utilization of a pressurized gas-solid feeder to inject sawdust powders into a fixed and fluidized bed cold-flow unit.
This presentation by Ahmed Taha shares details regarding the Azure GPU computational resources in addition to recent results and the scaling capabilities of the Barracuda Virtual Reactor code on Azure.
This presentation by Sam Clark of CPFD Software discusses updates within the Barracuda Simulation software such as Tecplot, RLMCloud, Multi-GPU Acceleration, and other features.
This presentation by Rey Gomez discusses the applications of GPUs and how NVIDIA hardware is powering workloads from CFD to physics-informed neural networks (PINNs).
This presentation by Ray Cocco focuses on the challenges of defining boundary conditions that are either as accurate as possible, or located in a region that has the least impact with uniform flow and concentration assumption.