Feasibility Assessment of Integrating Concentrating Solar Collectors with Gas Turbines in Low Direct Normal Irradiance Areas
Bibliographic record
Abstract
The feasibility of integrating parabolic trough collectors (PTCs) with micro gas turbines (MGTs) in regions characterized by low Direct Normal Irradiance (DNI) was explored in this study.A transient simulation model was developed using MATLAB and typical meteorological year data to assess the impacts of varying DNI levels on the performance and efficiency of the system.The primary focus was on how the thermal efficiency of gas turbine cycles at different locations is influenced by the yearly average DNI.The findings revealed that by using the minimum annual average DNI difference as a reference, a reliable comparison and estimation of the gas turbine's thermal efficiency can be achieved.This approach confirmed a significant correlation between estimated and simulated thermal efficiencies, illustrating that the integration of PTCs with MGTs can substantially enhance system efficiency even in areas with low DNI.The robustness of this method highlights its potential as a predictive tool for optimizing the performance of hybrid solar-gas turbine systems across various geographical settings.
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) | 0.000 | 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".