Related Experiment Video
Updated: Jun 24, 2025

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
Published on: September 7, 2019
Towards CO2 valorization in a multi remote renewable energy hub framework with uncertainty quantification
Dachet Victor1, Benzerga Amina1, Coppitters Diederik2
1University of Liège, Pl. du Vingt Août 7, Liège, 4000, Liège, Belgium.
This study introduces a framework for converting CO2 into synthetic methane using renewable energy hubs. Capturing CO2 via post-combustion methods significantly reduces costs for this renewable energy strategy.
Area of Science:
- Energy Systems Engineering
- Chemical Engineering
- Environmental Science
Background:
- Renewable energy sources are abundant in specific remote locations (Remote Renewable Energy Hubs - RREH).
- Carbon dioxide (CO2) valorization offers a pathway for decarbonization by converting captured CO2 into valuable products.
- Synthetic methane production via hydrogen and CO2 is a promising carbon utilization strategy.
Purpose of the Study:
- To propose a multi-RREH optimization framework for CO2 valorization into synthetic methane.
- To assess the techno-economic feasibility of this framework, considering different carbon capture methods.
- To determine the impact of carbon pricing on the viability of carbon capture technologies.
Main Methods:
- Development of a multi-RREH optimization framework.
- Integration of carbon capture technologies (Direct Air Capture - DAC and Post-Combustion Carbon Capture - PCCC).
- Techno-economic analysis under uncertainty for a case study in Belgium with two RREHs.
- Derivation of a carbon price threshold for carbon capture viability.
Main Results:
- Post-Combustion Carbon Capture (PCCC) is more cost-effective than Direct Air Capture (DAC) for CO2 utilization in RREH-based methane synthesis.
- A 10% reduction in total system cost was observed using PCCC compared to DAC in the reference scenario.
- The framework identified a critical carbon price threshold for the pivotal role of carbon capture in industrial decarbonization.
Conclusions:
- The proposed framework effectively optimizes CO2 valorization through RREH-based synthetic methane production.
- Integrating PCCC offers significant economic advantages over DAC for this application.
- Carbon pricing is a crucial policy lever to drive the adoption of carbon capture technologies for industrial decarbonization.
Related Concept Videos
Uncertainty: Overview
Propagation of Uncertainty from Systematic Error
Propagation of Uncertainty from Random Error
Uncertainty: Confidence Intervals
Energy Conservation and Bernoulli's Equation
All the terms in the equation have the dimension of energy per unit volume. The kinetic energy per unit volume is called the kinetic energy density, and the potential energy per unit volume is...
Estimation of the Physical Quantities

