Data collection, simulation and design of a waste heat energy conversion system
Bibliographic record
Abstract
This paper presents the design of a hardware-in-the loop simulation of the Marnoch Thermal Energy Conversion (MTEC) system. The simulation has been designed using MATLAB and Simulink based on data acquired with a National Instruments data acquistion device and a Siemens programmable logic controller. This simulation is designed to allow design and evaluation of increasingly complex versions of the MTEC in which additional tank pairs can be added easily within the simulation to evaluate improvements that result for efficiency and power output. The goal of the system simulation is to test controller designs and to allow them to be used in both software-and hardware-in-the-loop simulations and as a put hardware system. The simulation consists of mechanical simulations of valves, pistons, and other devices, and thermodynamic and mass flow models of the pressure and heating/cooling systems of the MTEC. The resulting simulation is based on data collected from a four-tank MTEC prototype system.
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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) | 0.000 | 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".