# Multi-parameter time series dataset recorded during blowdown of CO2 and mixtures from à 2m³ sphere, up to 130 bar and down to -50°C

## TL;DR

This paper presents a dataset from large-scale experiments on CO₂ blowdown, capturing temperature, pressure, and flow rate changes to improve carbon capture system designs.

## Contribution

The novel contribution is a comprehensive multi-parameter time-series dataset from realistic CO₂ blowdown experiments at high pressures and temperatures.

## Key findings

- The dataset includes synchronized measurements of pressure, temperature, heat flux, and mass flow rate during blowdown events.
- Experiments with pure CO₂, methane, and their mixtures provide insights for validating and improving CCS/CCUS models.
- The dataset supports the design of equipment for carbon capture and storage systems under realistic conditions.

## Abstract

This dataset supports research on CO₂ blowdown phenomena relevant to the design of CCS/CCUS systems. Blowdown involves rapid depressurisation, causing complex heat transfer between gas and vessel walls. Modelling these processes is challenging, and comprehensive experimental data are limited, particularly those obtained at realistic scales.

Experiments were conducted using the TRIPHASYX research Infrastructure. This setup features pressure, temperature, and thermal flux sensors, as well as load cells to measure mass flow rate accurately. Tests involved pure CO₂, methane, and mixtures of CO₂ and CH₄ under various initial conditions.

The dataset comprises 10 experimental batches, each with seven synchronised Excel files containing time-series data. It captures temperature, pressure, heat flux, and mass flow rate during blowdown events. These large-scale experiments provide valuable insights for validating CO₂-specific models and enhancing the design of CCS/CCUS equipment.