TIF
Data underlying the PhD thesis: Integrated Carbon Capture and Electrochemical Conversion
4TU.ResearchDatavia 4TU.ResearchData (via DataCite) · updated 20 January 2025
What's in it
This dissertation studies the feasibility of integrating CO2 capture with electrochemical conversion. This is done by looking at two different pathways using two different solvents. The first pathway investigates the use of an organic solvent and the second pathway uses a (bi)carbonate solvent. This dissertation addresses different challenges related to the effective electrochemical CO2 conversion for these two different solvents and provides a perspective on the feasibility of integrating CO2 with electrochemical conversion.
Files and services
- DataCite REST API (JSON)api.datacite.orgOpen
Similar datasets
Data underlying the master thesis: Multiparty Computation. Identifying the Consumers' Willingness to Share Sensitive Automotive Data on MPC-enabled Data Marketplaces: A Discrete Choice Modelling Approach4TU.ResearchDataData underlying the thesis: Multiparty Computation: The effect of multiparty computation on firms' willingness to contribute protected data4TU.ResearchDataData underlying the paper: "Participation in Data Donation: Co-Creative, Collaborative, and Contributory Engagements with Athletes and their Intimate Data." Included in Chapter 7 of the PhD thesis: Sensitive Data Donation4TU.ResearchDataData underlying the paper: "Sensitive Data Donation: A Feminist Reframing of Data Practices for Intimate Research Contexts." Included in Chapter 2 of the PhD thesis: Sensitive Data Donation4TU.ResearchDataData underlying the paper: "Beyond Data Transactions: A Framework for Meaningfully Informed Data Donation." Included in Chapter 4 of the PhD thesis: Sensitive Data Donation4TU.ResearchDataData underlying the paper: "Reconstructing Intimate Contexts through Data Donation: A Case Study in Menstrual Tracking Technologies." Included in Chapter 3 of the PhD thesis: Sensitive Data Donation4TU.ResearchDataData underlying the master thesis: Predicting cycling risk at intersections with natural cycling data for speed-controlled e-bikes4TU.ResearchDataData underlying the paper: "What is Sensitive about (Sensitive) Data? Characterizing Sensitivity and Intimacy with Google Assistant Users" Included in Chapter 5 of the PhD thesis: Sensitive Data Donation4TU.ResearchData
More from 4TU.ResearchData6,755 datasets
Data underlying the publication "High-fidelity two-qubit gates in a 7-qubit register for quantum networks"Software underlying the publication: State space approach to identify precursors to extreme events in turbulenceData accompanying the PhD thesis "Diamond-based magnetic imaging of the interaction between spin waves and superconductors"Dataset underlying the publication "Foundation interatomic potentials learn the practical chemistry they were never taught"Dataset supports the article "Tailoring the fatigue response of flax FRP composites by exploiting Micro-structural re-arrangements and auxiliary loading sequences"The Amsterdam Ordnance Datum Dynamic Vertical Reference Frame NAP-D2023P1