Demonstration and verification of post combustion capture using solvent scrubbing
Bibliographic record
Abstract
This paper will present Doosan Power Systems’ Post Combustion Capture (PCC) development, testing and verification activities. Preliminary results from the Boundary Dam TKO TM process, RS TM solvent trial and the results from the ERTF test facility will be discussed. Doosan Power Systems is developing competitive PCC technologies to capture carbon dioxide (CO 2 ) from coal and natural gas fired power plants for commercialization by 2020. Doosan Power Systems has licensed solvent scrubbing technology from HTC Purenergy Inc., which is based in Regina, Saskatchewan, Canada. HTC have developed an optimised Post Combustion Capture (PCC) process known as the Thermal Kinetics Optimization TM (TKO) process which is designed to substantially reduce the energy requirements of the PCC process for the capture of CO 2 from coal and natural gas fired power plants. Doosan Power Systems is currently undertaking FEED studies and preparing commercial bids for full-scale solvent scrubbing plants, comprising all equipment from flue gas desulphurisation (FGD) plant outlet to CO 2 compression plant inlet. Among these are the CCPILOT100+ and Basin Electric PCC demonstration projects. The TKO process is currently under a formal technology verification programme at the upgraded Boundary Dam demonstration pilot plant capturing approximately 4 tonnes/day of CO 2 . Long term performance of HTC’s proprietary RS TM solvent is currently being assessed for CO 2 removal effectiveness and the long term performance of the solvent. Solvents are also tested for degradation, heat stable salt formation and propensity for corrosion within the various system components. Doosan Power Systems has installed a PCC solvent scrubbing pilot plant on the 160 kW t Emissions Reduction Test Facility (ERTF), located at its R&D centre in Renfrew, Scotland, to capture approximately 1 tonne/day of CO 2 and to permit further development and optimization of the process. The ERTF is capable of firing a wide range of world traded coals and produces flue gases representative of full scale plant. The ERTF solvent scrubbing plant will be used to carry out performance testing on a range of solvents, packings and suitability of a range of materials. The testing and verification programmes at both Boundary Dam and the ERTF will be used to substantiate the scalability of HTC’s technology under real-world operating conditions. Of paramount importance during the verification programmes are the actual rate of solvent degradation under industrial conditions, solvent make-up requirements, steam consumption and other auxiliary power requirements which add to power plant parasitic losses, such as that for fans to overcome the pressure drop created by column internals and associated pipework.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".