The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Dynamic multiphysics model for solar array
Abstract
An approach to model the solar cell system with coupled multiphysics equations (photovoltaic, electro-thermal, direct heating and cooling processes) within the context of the resistive-companion method in the Virtual Test Bed computational environment is presented.. Appropriate across and through variables are defined for the thermal terminal of the system so that temperature is properly represented as a state variable, rather than as a parameter of the system. This allows enforcement of the system power conservation through all terminals, and allows simultaneous solutions for both the electrical potentials and the system temperature. The thermal port built accordingly can be used for natural thermal coupling. The static and dynamic behaviors of the solar array model based on the approach are obtained and validated through comparison of simulation results to theoretical predictions and other reported data. The electro-thermal modeling method developed here can be generally used in the modeling of other devices, and the method to define the across and through variables can also be generalized to any other interdisciplinary processes where natural coupling is required.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Saleh, B. E. A., & Teich, M. C. (1991) · doi:10.1002/0471213748 · Cited by 3,383
Cited by
Optimization of Perturb and Observe Maximum Power Point Tracking Method
Femia, N., Petrone, G., Spagnuolo, G., & Vitelli, M. (2005) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2005.850975 · Cited by 3,002
Simple, fast and accurate two-diode model for photovoltaic modules
Ishaque, K., Salam, Z., & Taheri, H. (2011) · Solar Energy Materials and Solar Cells · doi:10.1016/j.solmat.2010.09.023 · Cited by 687
Modeling and circuit-based simulation of photovoltaic arrays
Villalva, M. G., Gazoli, J. R., & Filho, E. R. (2009) · 2009 Brazilian Power Electronics Conference · doi:10.1109/cobep.2009.5347680 · Cited by 675
Ishaque, K., & Salam, Z. (2011) · Solar Energy · doi:10.1016/j.solener.2011.06.025 · Cited by 419
Neural-Network-Based MPPT Control of a Stand-Alone Hybrid Power Generation System
Lin, W.-M., Hong, C.-M., & Chen, C.-H. (2011) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2011.2161775 · Cited by 347
Metadata
- Authors
- Liu, S., & Dougal, R. A.
- Venue
- IEEE Transactions on Energy Conversion
- Published
- 2002-06
- Volume
- 17
- Issue
- 2
- Pages
- 285-294
- ISSN
- 0885-8969 (ISSN-L)
- OpenAlex
- W2134918040
- Cited by
- 337
- References
- 1
- FWCI
- 6.47
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.