KEYWORDS: Solar energy, Solar radiation models, Data modeling, Brain-machine interfaces, Sun, Photovoltaics, Atmospheric modeling, Mathematical modeling, Absorption, Solar cells
In this paper we analyze the effects of neighbor shadowing of tracking solar photovoltaic arrays when they are set out in solar farms for large scale generation. Closer tracker spacing yields more power per unit area of land, but less power per tracking unit because of shadowing. A model has been developed to quantify and compare efficiencies for different tracker aspect ratios and field layouts, on an hourly, daily and annual basis. The model accounts for atmospheric absorption as well as neighbor shadowing at low solar altitude angles. We have focused on the case of CPV arrays which are oriented normal to the rays from the sun. The field layout is best characterized by the ratio of total array area to land area (the ground cover ratio or GCR). We explore as a function of GCR both the fraction of all the direct sunlight energy that is intercepted by the arrays (the irradiance collection efficiency) and the energy lost by each array because of shadowing.Examples are worked out for rectangular arrays on dual axis trackers at 33° latitude. We find that for a ground cover ratio of 30% the annual irradiance collection efficiency is 50%, almost independent of the layout pattern or the array aspect ratio. For a ground cover ratio of 40%, the irradiance collection efficiency rises to 65%. The corresponding shadowing losses do depend on aspect ratio, thus for 30% GCR the annual average of shadowing loss is 7.2% for 3:1 aspect ratio, rising to 7.8% for 2:1 aspect ratio. High GCR is not realizable for higher aspect ratios, which lead to large swing radius, but for 2:1 aspect ratio 40% GCR results in shadowing loss of 11.5%. One conclusion is that a solar farm with arrays of 2:1 aspect ratio set out with 40% GCR is good compromise when land is scarce: 64% of all the direct sunlight energy incident on the land is harvested by the arrays, with only 11.5% shadowing loss. We have compared these efficiencies with those for trough CSP systems, which also harvest direct sunlight but with reflectors turning about a single, horizontal N-S axis. For given GCR, the shadowing loss is slightly less (0.5%) than for the above dual-axis arrays, however the irradiance collection efficiency is worse in winter, leading to a lower annual average for a given GCR. For example, at 40% GCR, a single-axis system realizes a 56% irradiance collection efficiency compared to 64% for the dual axis systems.
Liquid lenses have been developed as a means for fast and reliable variable-focus optics by using an adjustable curvature
in a liquid-liquid interface. The use of liquid lenses also provides the benefit of reducing the number of elements in a
system, and providing a degree of freedom without any moving parts. Different methods for surface curvature actuation
have been developed, including aperture adjustment, mechanical actuators, stimuli-responsive hydrogels, and
mechanical-wetting. Current liquid lens designs are limited to small apertures (less than 4mm) and density-matching
fluids to lessen the negative effects of gravity. By creating a lens intended for use in a microgravity environment, the
aperture size can be increased by orders of magnitude, and optimal fluids can be used regardless of their density. Using a
large-aperture (12mm) liquid lens, image and surface metrology was conducted using a fixed-focus configuration. The
Software Configurable Optical Test System (SCOTS) method was utilized to test the effect of microgravity, standard
gravity, and hypergravity on the liquid lens during parabolic flights. Under standard gravity, the RMS wavefront error
(WFE) was 27 wavelengths, while microgravity conditions allowed an improvement to 17 wavelengths RMS WFE. Test
performance can be improved by using lower viscosity fluids or longer duration microgravity flights. The experiment
also served as an engineering demonstration for the SCOTS method in an environment where other methods of optical
metrology would be impossible.
KEYWORDS: Space telescopes, James Webb Space Telescope, Telescopes, Data modeling, Mirrors, Databases, Space operations, Optical engineering, Observatories, Statistical modeling
Parametric cost models are routinely used to plan missions, compare concepts, and justify technology investments. Unfortunately, there is no definitive space telescope cost model. For example, historical cost estimating relationships (CERs) based on primary mirror diameter vary by an order of magnitude. We present new single-variable cost models for space telescope optical telescope assembly (OTA). They are based on data collected from 30 different space telescope missions. Standard statistical methods are used to derive CERs for OTA cost versus aperture diameter and mass. The results are compared with previously published models
KEYWORDS: Space telescopes, Telescopes, Data modeling, Mirrors, Systems modeling, James Webb Space Telescope, Optical telescopes, Infrared telescopes, Statistical analysis, Infrared sensors
Parametric cost models are routinely used to plan missions, compare concepts and justify technology investments.
However, great care is required. Some space telescope cost models, such as those based only on mass, lack sufficient
detail to support such analysis and may lead to inaccurate conclusions. Similarly, using ground based telescope models
which include the dome cost will also lead to inaccurate conclusions. This paper reviews current and historical models.
Then, based on data from 22 different NASA space telescopes, this paper tests those models and presents preliminary
analysis of single- and multi-variable space telescope cost models.
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