Rekuperaattorin optimaalinen mitoitus ja sopivan ripa- ja putkigeometrian tutkimus
Bibliographic record
Abstract
This thesis is conducted in collaboration with Alfa Laval Aalborg Oy and the EU’s MARPOWER project. The project’s goal is to develop an innovative gas turbine energy conversion system to aid in the decarbonization of marine transportation. The aim of this thesis is to design, dimension, and optimize a recuperator for the gas turbine system. Five different fin and tube geometry options are considered for the recuperator’s configuration. To achieve the thesis goals, the LMTD method and appropriate correlations from the literature are utilized for heat transfer performance and pressure drop estimation for each of the five options. The thesis presents detailed dimensioning calculations for each option, including suitable material selections for the recuperator. The optimal option features continuous smooth fins and circular tubes in staggered arrangement, offering moderate heat transfer effectiveness, low pressure drops, compact overall dimensions, and cost efficiency compared to the other alternatives. Additionally, the study introduces the EU’s goals for the decarbonization of shipping and presents the MARPOWER project’s aims to contribute to these goals. It examines sustainable fuels such as hydrogen, renewable methane, methanol, and ammonia, which are intended for use in the developed gas turbine system. The fuel production methods, combustion properties related to emissions, and necessary modifications to the gas turbine system are also investigated.
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 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) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.014 | 0.009 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.010 |
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; both teacher heads agree on what is shown here.
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".