ICONE23-2024 DEVELOPMENT OF "INTERMEDIATE HEAT EXCHANGE" SIMULATOR OF THE DMS FOR CO-GENERATION
Bibliographic record
Abstract
Hitachi-GE Nuclear Energy Ltd. (Hitachi-GE) has developed a conceptual design for the Double MS: modular simplified & medium small reactor (DMS) under the sponsorship of The Japan Atomic Power Company. The DMS is one of the small-to-medium sized reactors (SMRs) of boiling water reactor (BWR) type, which has been predicted to overcome almost all economy of scale concerns when compared to proven conventional advanced BWR (ABWR) technologies. The DMS design was dedicated to generate electric power, and in order to enhance flexibility for usage of the DMS, the University of Saskatchewan, Hitachi-GE and Hitachi Ltd. (Hitachi) have collaborated on a joint research and development (R&D) initiative to study the utilization of heat and steam from the balance of plant (BOP) for thermal utilization (TU) applications such as district heating, process heating, etc. Based on the DMS of the 300MWe class, Hitachi is developing heat balance evaluation tools for the BOP system and the intermediate heat exchanger (IHX) system which is implemented for heat transfer from the BOP to the TU application in order to detect radioactive materials from the BOP and to prevent leakage to the TU applications. In this paper, a part of the IHX system heat balance simulator for the co-generation DMS is described.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.005 |
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".