Reverse Osmosis Simulation Data

Dataset · Mon Apr 22 04:00:00 EDT 2024

DOI:https://doi.org/10.7481/2478402· OSTI ID:2478402

Nadakkal Appukuttan, Sreejith ^[1]; Sitaraman, Hariswaran; Egan, Hilary

---

1. National Renewable Energy Lab - NREL

This dataset consists of computational fluid dynamics (CFD) output for various spacer configurations in a feed-water channel in reverse osmosis (RO) applications. Feed-water channels transport brine solution to the RO membrane surfaces. The spacers embedded in the channels help improve membrane performance by disrupting the concentration boundary layer growth on membrane surfaces. Refer to the "Related Work" resource below for more details. This dataset considers a feed-water channel of length 150mm. The inlet brine velocity and concentration are fixed at 0.1m/s and 100kg/m3 respectively. The diameter of the cylindrical spacers is fixed as 0.3mm and six varying inter-spacer distances of 0.75mm, 1mm, 1.5mm, 2mm, 2.5mm, and 3mm are simulated. The dataset comprising the steady, spatial fields of solute concentration, velocity, and density near each spacer is placed in the folder corresponding to the spacer configuration considered. We run two sets of CFD simulations and include the outputs from both sets for each configuration: (1) with a coarser mesh, producing low-resolution (LR) data of spatial resolution 20x20, and (2) with a finer mesh, producing high-resolution (HR) data of spatial resolution 100x100. These data points can be treated as images with the quantities of interest as their channels and can be used to train machine learning models to learn a mapping from the LR images as inputs to the HR images as outputs.

• Research Organization: NAWI Water DAMS (Data Analysis and Management System); National Renewable Energy Lab - NREL
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Advanced Manufacturing Office (EE-5A)
• Contributing Organization: National Renewable Energy Lab - NREL
• OSTI ID: 2478402
• Report Number(s): 18
• Availability: [e-mail]
• Country of Publication: United States
• Language: English

Related Subjects

29 ENERGY PLANNING, POLICY, AND ECONOMY
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
AI surrogate
CFD
RO
brine
clean water
data
data-driven
dataset
energy
membrane surface
resource extraction
reverse osmosis
water