Published December 3, 2025 | Version v2
Publication Open

Dataset for a Measurement Campaign of DME Oxidation on Commercial Pt/Pd-Series Diesel Oxidation Catalysts

Description

This article presents data collected during a measurement campaign conducted on a synthetic gas test bench (SGB) at the Chair of Thermodynamics of Mobile Energy Conversion Systems (TME). The campaign includes 23 light-off experiments utilizing five state-of-the-art diesel oxidation catalysts (DOCs) with varying platinum and palladium formulations. The primary objective is to investigate the oxidation behavior of dimethyl ether (DME) and its impact on other reactions within exhaust gas aftertreatment.

Five distinct gas compositions were employed to replicate reduced, model, and realistic conditions for simulating DME and DME/diesel fuel blend exhaust gases. The dataset comprises comprehensive test bench data, including temperature readings, mass flow controller metrics, and gas analytical values. These data are curated primarily for analyzing the light-off temperature ramp, while also encompassing the time frame from pre-conditioning to post-conditioning. This dataset offers valuable insights into DME's oxidation behavior, its co-oxidation effects, and the formation of secondary emissions.

The dataset includes results from 20 experiments across DOCs 1-5 for four different gas matrices:

1. A reduced gas matrix for pure DME oxidation with only O2.

2. A realistic gas matrix for DME oxidation under actual exhaust gas conditions, incorporating CO, NO, and CO2 into the reduced mix to simulate DME combustion exhaust.

3. A reduced gas mix for pure DME and propene co-oxidation with only O2.

4. A realistic gas matrix for DME and propene co-oxidation under genuine exhaust conditions, again integrating CO, NO, and CO2 to simulate a DME/diesel exhaust scenario.

Additionally, three experiments involving DOCs 1, 3, and 5 are included with gas mixture 5: 

5. This realistic gas mix excludes any hydrocarbons (HC) to assess their influence on NO oxidation.

The datasets follow this nomenclature: DOC_X_GM_Y, where: 

  • X indicates the respective DOC number (1-5),
  • Y denotes the corresponding gas matrix (GM), ranging from 1 to 5.

The datasets for exhaust gas analytics encompass key components such as DME, O2, CO, CO2, NO, along with additional HC species generated during the oxidation process of DME and propene. Notably prominent components include formaldehyde, formic acid, methanol, and nitric oxide; N2 is used as a carrier.

Files

DOC_1.zip

Files (83.8 MB)

Name Size Download all
md5:2290df28252eecb70b93f103d57a0c9f
18.3 MB Preview Download
md5:0ddc15bcf04fc646955dba7c2abc4e8b
15.1 MB Preview Download
md5:dbf5ebd89c41838e6d4a76e08804ad61
17.6 MB Preview Download
md5:c2e5761898d26a82217f09ca2f57b545
14.9 MB Preview Download
md5:229387a4cecd19a07f3e1edaa6f37c45
18.0 MB Preview Download
md5:ba38bc3d509f7a1161be22148aa3a106
254 Bytes Preview Download
md5:e197ac8ef702782d5afa2ee6d89c68ed
393 Bytes Preview Download

Additional details

Funding

Federal Ministry for Economic Affairs and Climate Action
DMEplusX - DME-haltige erneuerbare Kraftstoffe für den Einsatz in der Bestandsflotte 19I20018D
Deutsche Forschungsgemeinschaft
Cluster of Excellence 2186 390919832