Modeling and Control of a Boiling Water Small Modular Reactor Cogeneration System for District Heating Applications
Bibliographic record
Abstract
This poster presents a novel approach for modeling and controlling a Small Modular Reactor (SMR) cogeneration power plant for District Heating Network (DHN) applications, aimed at decarbonizing energy systems. Existing studies, such as [1], do not adequately address key dynamics, including piping heat losses, thermal delays, variations in thermal demand, transient thermal responses, and dynamic interactions within the DHN, which limits the model’s ability to accurately assess system stability and its transient thermo-electrical performance under fluctuating load conditions. Additionally, the absence of proper multi-timescale dynamic analysis restricts the model’s ability to capture both short-term dynamics (seconds to minutes), which are critical for transient stability, and long-term behavior (hours to days), which is necessary for understanding daily thermal load variations. Thus, the main contribution of this paper is the development of a comprehensive cogeneration power plant model based on a Boiling Water SMR (BWSMR), which is distinct from the Integrated Pressurized Water Reactor (IPWR) model in [1].
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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) | 0.001 | 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".