Related Experiment Video
Updated: Feb 15, 2026

09:16
Array Comparative Genomic Hybridization Array CGH for Detection of Genomic Copy Number Variants
Published on: February 21, 2015
20.5K
Comparative Performance and Model Agreement of Three Common Photovoltaic Array Configurations.
1National Institute of Standards and Technology (NIST), 100 Bureau Drive, Gaithersburg, MD 20899.
Summary
Performance of monocrystalline silicon photovoltaic (PV) arrays varied significantly based on operating temperature and orientation. Models accurately predicted energy output, with deviations during winter snow and maintenance outages.
Area of Science:
- Solar Energy
- Photovoltaics
- Renewable Energy Systems
Background:
- Monocrystalline silicon photovoltaic (PV) arrays are widely used for grid-connected power generation.
- Understanding the performance variations of PV arrays under different installation conditions is crucial for optimizing energy yield.
Purpose of the Study:
- To compare the performance of three grid-connected monocrystalline silicon PV arrays with varying configurations.
- To validate performance models using on-site weather data and measured array outputs.
Main Methods:
- Instrumentation and 1-year monitoring of three PV arrays (73 kW to 271 kW) with different tilts, orientations, and locations (parking lot, open field, flat roof).
- Analysis of measured relationships and standard metrics to evaluate relative array performance.
- Development and validation of comprehensive performance models using pvsyst software.
Main Results:
- All three arrays consistently achieved monthly performance ratios (PRs) above 0.75.
- Significant differences in relative output were observed, strongly correlating with operating temperature and, to a lesser extent, orientation.
- pvsyst model predictions were within 5% of monthly delivered energy, except during winter snow events and maintenance outages.
Conclusions:
- PV array performance is significantly influenced by operating temperature and orientation.
- Performance models provide reliable energy output predictions when validated with site-specific weather data.
- Environmental factors like snow cover and system downtime can impact PV energy yield.
Related Concept Videos
Controller Configurations
393
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
393
Electron Configurations
26.7K
Electron configurations and orbital diagrams can be determined by applying the Aufbau principle (each added electron occupies the subshell of lowest energy available), Pauli exclusion principle (no two electrons can have the same set of four quantum numbers), and Hund’s rule of maximum multiplicity (whenever possible, electrons retain unpaired spins in degenerate orbitals).
The relative energies of the subshells determine the order in which atomic orbitals are filled (1s, 2s, 2p, 3s, 3p,...
The relative energies of the subshells determine the order in which atomic orbitals are filled (1s, 2s, 2p, 3s, 3p,...
26.7K
Electron Configuration of Multielectron Atoms
65.4K
The alkali metal sodium (atomic number 11) has one more electron than the neon atom. This electron must go into the lowest-energy subshell available, the 3s orbital, giving a 1s22s22p63s1 configuration. The electrons occupying the outermost shell orbital(s) (highest value of n) are called valence electrons, and those occupying the inner shell orbitals are called core electrons. Since the core electron shells correspond to noble gas electron configurations, we can abbreviate electron...
65.4K
Common Ion Effect
47.1K
Compared with pure water, the solubility of an ionic compound is less in aqueous solutions containing a common ion (one also produced by dissolution of the ionic compound). This is an example of a phenomenon known as the common ion effect, which is a consequence of the law of mass action that may be explained using Le Châtelier’s principle. Consider the dissolution of silver iodide:
47.1K
Configurations of BJT
1.2K
Bipolar Junction Transistors (BJTs) are categorized into various types based on their configurations, each with distinct characteristics and applications. The configurations are primarily differentiated by which terminal—base, emitter, or collector—is common to both the input and output circuits.
The common base configuration is noted for its high voltage gain, positioning it as an ideal choice for single-stage amplifier circuits, such as microphone pre-amplifiers. A notable...
The common base configuration is noted for its high voltage gain, positioning it as an ideal choice for single-stage amplifier circuits, such as microphone pre-amplifiers. A notable...
1.2K
Stability of Equilibrium Configuration
822
Understanding the stability of equilibrium configurations is a fundamental part of mechanical engineering. In any system, there are three distinct types of equilibrium: stable, neutral, and unstable.
A stable equilibrium occurs when a system tends to return to its original position when given a small displacement, and the potential energy is at its minimum. An example of a stable equilibrium is when a cantilever beam is fixed at one end and a weight is attached to the other end. If the weight...
A stable equilibrium occurs when a system tends to return to its original position when given a small displacement, and the potential energy is at its minimum. An example of a stable equilibrium is when a cantilever beam is fixed at one end and a weight is attached to the other end. If the weight...
822

