Cost projections for microwave plasma CO production using renewable energy

Cost projections for microwave plasma CO production using renewable energy

Detz, R.J.
van der Zwaan, B.

2022

Successful deployment of renewable fuel production requires substantial cost reduction along the entire value chain of the underlying manufacturing routes. To improve their performance, renewable fuel pro duction technologies should follow a cost-reducing learning curve. In this article, we adopt recent evi dence that learning-by-doing is directly influenced by the technology unit size and explore three scenarios for microwave plasma CO2 conversion in which the learning rate varies between 10%, 15%, and 20%. Our projections reveal that the total investments required to deploy this CO2 conversion tech nology at an exajoule scale decline from 83 down to 23 billion euros under a 10% increase in the value of the learning rate. The CO production costs in 2050 amount to 247–346 €(2019)/tCO, in which the range is determined by the value of the learning rate. Even under substantial learning until 2050 the levelized CO production cost is unlikely to become competitive with conventional natural gas-based CO production processes, except when a CO2 tax is applied of up to 150 €(2019)/tCO2. To optimally exploit effects of learning-by-doing, we recommend developing several CO production technologies simultaneously with multiple unit sizes, so as to improve the chance of ultimately selecting the process with the highest learn ing rate

CO2 utilization
Synthetic fuels
Renewable chemicals
Learning curves
Unit size
Energy Efficiency
Energy / Geological Survey Netherlands

http://resolver.tudelft.nl/uuid:104e9ce9-50a2-49fa-9c83-dc859b08279b

https://doi.org/10.1016/j.jechem.2022.04.014

968567

Elsevier B.V.

2095-4956

Journal of Energy Chemistry, 71 (71), 507-513

article