CONCEPTUAL DESIGN OF A ZERO CO2 EMISSIONS FOSSIL FUEL POWER PLANT
Bibliographic record
Abstract
In this paper we examine a promising pathway involving the elimination of CO2 emissions by growing oil-containing algae which naturally absorb solar energy during the growth phase. The dry algae or algal oil can be used as a fuel in the power plant boilers or to make bio-diesel. The remaining biomass can also be used for producing thermal energy. If we use dry algae or algae oil as a fuel in the power plant boiler, then in the extreme one can envision the following process: 1. Use enough fossil fuel to produce sufficient amount of CO2 to produce as much algae oil as needed for electricity production and for algae processing. 2. Use algae oil as fuel in the boilers and grow again algae from CO2 in the flue gas. 3. Etc. (repeat from 2). Theoretically, if there is 100% capture of CO2 via algae and if there is efficient capture of solar energy in the growth of algae, we could continue production of electricity without consuming any fossil fuel (other than the initial “charge”). We present a preliminary process design for 1,000 MW plant using algae oil as fuel.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".