Numerical analysis of the ground-mounted solar PV panel array mounting systems subjected to basic wind for optimum design
Bibliographic record
Abstract
Comprehensive numerical modeling and investigations have been carried out to analyze the effect of wind loads on various solar array mounting frame structures using ANSYS 18 Workbench (Mechanical). Extensive damages of solar arrays and mounting frames have been reported the world over due to high winds. In this study, six array mounting frame types have been considered, subjected to the basic wind of 55 m/s specified for coastal regions of India. India has six basic wind speed zones ranging from 33 m/s to 55 m/s. Many utility-scale solar farms installed in this region are susceptible to high winds. Solar arrays considered of dimension 6 m × 4 m consisting of 12 photo-voltaic (PV) panels each of size 1 m × 2 m, with panel tilt angle varying from 10° to 50°. Wind load subjected to the PV panels in the solar array considered as normal pressure force over the top and bottom surfaces to simulate forward and backward wind direction. Three different materials with their respective mechanical properties, i.e., structural steel channel for mounting truss members, aluminum casing to encapsulate PV panels, and plexiglass sheet for PV panels, were considered and simulated. Wind pressure forces have been determined, using respective net wind pressure coefficients, induced by respective wind speed and tilt angle. Maximum deformation and maximum stresses were determined by modeling and simulation in ANSYS Workbench and compared the results with various array mounting system arrangements for each case of panel tilt angle subjected to both forward and backward wind incidence.
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 | 0.001 |
| 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".