# Dataset on the conceptual evaluation of carbon capture rates using Ca(OH)2 in the calcium looping process

## TL;DR

This paper presents a dataset showing how adding calcium hydroxide improves carbon capture in industrial processes, offering insights for engineers and researchers.

## Contribution

The dataset introduces detailed simulations of Ca(OH)₂ injection effects on carbon capture rates in calcium looping systems.

## Key findings

- Injecting Ca(OH)₂ can increase carbon capture rates from 90% to nearly 99%.
- The dataset includes 79 simulated cases with parameters like injection rate and reactor entry point.
- The dataset supports model validation and optimization of calcium looping systems.

## Abstract

Carbon capture in industrial processes is essential for mitigating climate change, especially in energy-intensive sectors like cement and power generation. Among the available carbon capture technologies, calcium looping (CaL) stands out as a feasible post-process solution, which typically captures around 90% of emitted CO₂. However, injecting calcium hydroxide (Ca(OH)₂) can increase capture rates to about 99%. This dataset illustrates how introducing Ca(OH)₂ can help trap more carbon dioxide in industrial systems, highlighting the importance of key factors such as the injection rate and the reactor entry point. By offering detailed simulations under various conditions, the dataset serves as a resource for engineers and researchers looking to reduce emissions in challenging industrial environments and develop new models to support process design.

The dataset consists of results from a series of 79 simulated cases evaluating the effect of Ca(OH)₂ injection on carbon capture efficiency in the calcium looping process. The simulations were performed using a 1.5D reactor model developed in the Matlab/Simulink environment based on the configuration of the La Pereda pilot plant.

The dataset includes Excel files containing detailed case-specific data, including all the solved parameters, such as carbon capture efficiencies, heat balances, reactor temperature profiles, solid circulation rates, gas flow compositions, and the distribution of char, sorbent, and fine Ca(OH)₂ particles. Variables related to the Ca(OH)₂ injection, such as injection flow rate and elevation, are also included to allow examination of their effects on the system. The key parameters are visualized within the files.

This dataset provides a valuable resource for researchers working on carbon capture technologies, reactor modelling, and process optimisation. It can be used to validate new models, explore alternative configurations of calcium looping systems, or investigate the interaction of injected Ca(OH)₂ with other system variables. The dataset is particularly relevant for applications involving calcium looping by circulating fluidised bed reactors and high CO₂ capture requirements.