Modeling SOFC and GT Integrated-Cycle Power System with Energy Consumption Minimizing Target to Improve Comprehensive cycle Performance (Applied in pulp and paper, case studied)
Bibliographic record
Abstract
For nearly all their history, modern renewables have had to fit into electricity systems that otherwise operate using the model of competitive wholesale markets and retail competition for consumers.Renewables' costs are generally too high for utilities to choose them in preference to other generation technologies.However, there is wide agreement that fossil fuel generation has to be phased out in favour of technologies that produce low levels of greenhouse gas emissions.There have always been question marks about whether the free market model for electricity would be sustainable but doubts are now beginning to emerge from an unexpected quarter and much more influential quarter, the pioneers of liberalised electricity markets, Britain.In December 2010, the British government published a White Paper on its proposed reforms to the electricity market that are widely expected to see foresee a much more interventionist approach.However, the British government also has a strong policy to promote new orders for nuclear generation and concerns have been expressed that the market reforms will be designed to favour nuclear power at the expense of renewables.This paper reviews previous policies in Britain to promote renewables and examines options available in a more planned electricity system.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".