Dataset of Chilean Oak micropyrolysis over Zn and Ga supported on natural zeolite catalyst in oxygen-depleted (He) and reductive (H₂) atmospheres

Biomass pyrolysis has promising potential as an alternative to fossil-based compounds, but the high content of oxygenates in the liquid product limits its application on a large scale. To address this issue, alternatives have been proposed, such as the use of a catalyst and changes in the reaction atmosphere to reduce the oxygenate content of the liquid fraction. However, the challenges lie in understanding the reactions that occur during the process using experimental data to propose robust and accurate reaction schemes.
Here, we present analytical pyrolysis data (Py-GC/MS) for Chilean oak (Nothofagus obliqua) torrefied and non-torrefied under four different conditions: Torr1 (523 K, 30 min), Torr2 (573 K, 15 min), Torr3 (573 K, 30 min), and Torr4 (523 K, 15 min). The tests were carried out in oxygen-depleted (He) and reductive (H₂) atmospheres over a catalyst based on natural Chilean zeolite loaded with 2 wt.% or 5 wt.% Zn or Ga. The catalysts were prepared via ion exchange, first with ammonium sulphate to remove the compensation cations from the zeolite, and then with precursor metal salts (nitrates) for metal loading. The data provided includes characterization of both untreated and torrefied biomass, as well as catalysts. Thermogravimetric analyses were also performed on the biomass samples at different heating rates to determine the triplet that controls their decomposition.
The data collection also includes catalytic pyrolysis tests using various oaks (torrefied and non-torrefied) in He and H₂ atmospheres against the catalysts. Py-GC-MS experiments provide detailed information on the composition of condensable pyrolysis gases, which is useful for industrial scale-up proposals that utilize machine learning or multivariate statistics, as well as a description of reaction mechanisms via computational chemistry. The data is organized into three main folders, which contain the dataset in XLS and CSV formats, where the folders that include them have the same name according to the file type. The third folder contains machine-readable metadata files, which allow for the correct handling of the data provided. In this folder, you will locate files that link the names of individual files to the experimental conditions, column headers to the units, and compounds identified with their respective chemical formulas. On the other hand, the folders containing the data are organized as follows (both folders have the same organization):
Folder 1. Raw materials characterization-Oak (untreated and torrefied)
Folder 2. Characterisation of catalysts
Folder 3. Thermogravimetric analysis at different heating rates
Folder 4. Non-catalytic Pyrolysis and hydropyrolysis
Folder 5. Catalytic Pyrolysis and hydropyrolysis