A method to measure total atmospheric long-wave down-welling radiation using a low cost infrared thermometer tilted to the vertical

Aguilar, Jose L. Castro; Gentle, Angus; Smith, G.B.; Chen, Dong

doi:10.1016/j.energy.2014.12.035

Cited by 16 publications

(20 citation statements)

References 8 publications

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“…Summing over solid angle and the Planck wavelength range yields the downwelling power P DW (Ta, PWV) [1]. P DW can range from 200 to 400 W/m 2 [10,19]. The absorptance of components of this atmospheric radiation by a surface depends on A S (θ, λ) = E S (θ, λ) in the range of 2.5-35 µm.…”

Section: Cooling Designs and Angular Responsementioning

confidence: 99%

“…An example is the time series data recently acquired on downwelling IR radiation as shown in Figure 7 [19], which compares IR directionally sensitive data with global IR. Data used for model validation includes exterior surface temperatures, thermal images to examine emitted IR energy, integrated cooling and heating loads and energy use in buildings.…”

Section: Cooling Designs and Angular Responsementioning

confidence: 99%

“…These changes may be sharp and large, or weak and low, depending on ray direction to the zenith, and humidity. It is worth noting that at 57°to the zenith one can measure the median incoming IR energy from the whole clear sky [18][19][20], which is thus very anisotropic in emission intensity. The spectral boundary of most interest, for solar heat collectors or cool roofs and walls, is that between the solar spectrum and the Planck emission spectrum just above and below ambient temperature (10-80°C).…”

Section: Key Environmental and Human Factors Impacting Smart Materialmentioning

confidence: 99%

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Nanophotonics-enabled smart windows, buildings and wearables

Smith¹,

Gentle²,

Arnold³

et al. 2016

Nanophotonics

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Design and production of spectrally smart windows, walls, roofs and fabrics has a long history, which includes early examples of applied nanophotonics. Evolving nanoscience has a special role to play as it provides the means to improve the functionality of these everyday materials. Improvement in the quality of human experience in any location at any time of year is the goal. Energy savings, thermal and visual comfort indoors and outdoors, visual experience, air quality and better health are all made possible by materials, whose "smartness" is aimed at designed responses to environmental energy flows. The spectral and angle of incidence responses of these nanomaterials must thus take account of the spectral and directional aspects of solar energy and of atmospheric thermal radiation plus the visible and color sensitivity of the human eye. The structures required may use resonant absorption, multilayer stacks, optical anisotropy and scattering to achieve their functionality. These structures are, in turn, constructed out of particles, columns, ultrathin layers, voids, wires, pure and doped oxides, metals, polymers or transparent conductors (TCs). The need to cater for wavelengths stretching from 0.3 to 35 µm including ultraviolet-visible, near-infrared (IR) and thermal or Planck radiation, with a spectrally and directionally complex atmosphere, and both being dynamic, means that hierarchical and graded nanostructures often feature. Nature has evolved to deal with the same energy flows, so biomimicry is sometimes a useful guide.

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Section: Cooling Designs and Angular Responsementioning

confidence: 99%

Section: Cooling Designs and Angular Responsementioning

confidence: 99%

Section: Key Environmental and Human Factors Impacting Smart Materialmentioning

confidence: 99%

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Nanophotonics-enabled smart windows, buildings and wearables

Smith¹,

Gentle²,

Arnold³

et al. 2016

Nanophotonics

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“…Currently, the AWS does not possess such equipment, and consequently, there is no measurement of incoming longwave radiation (Vilani et al, 2010;Aguiar et al, 2011). Recently, Aguilar et al (2015) showed that the difficulty for data collection is due to the price of the equipment and its calibration. Despite this, some studies have been developed in the region, such as Vilani et al (2010) and Aguiar et al (2011).…”

Section: Introductionmentioning

confidence: 99%

“…The relevance of the variability of incoming longwave radiation can be justified in several ways, as being important for: (1) Surface Energy Balance (SEB); (2) Numerical Weather Forecasting (NWF); (3) simulations carried out at several different scale models; (4) the global radiation balance; (5) climate studies; (6) agrometeorological studies (predictions for night frosts, mist, air temperature variation and cloudiness in a particular region); (7) other applications (Iziomon et al, 2003;Aguilar et al, 2015;Morcrette, 2002;Ma et al, 2014). Incoming longwave radiation is surely the most difficult component of the radiation balance to measure.…”

Section: Introductionmentioning

confidence: 99%

Incoming Longwave Radiation Evaluation for the Legal Amazon Using HadRM3 and Geostatistic Theoretical Models

et al. 2018

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Incoming longwave radiation was estimated using air temperature data from the output of the regional HadRM3 model in the Intergovernmental Panel on Climate Change's (IPCC) A2 scenario for projections up to 2070, 2080 and 2090 and using Swinbank's equation. Spatial distribution was done by Ordinary Kriging through three theoretical mathematical models for the IPCC A2 scenario for the whole Legal Amazon. It was found that the highest averages and outliers occurred in 2090 compared to other years evaluated. The average incoming longwave radiation for 2070, 2080 and 2090 was 394.8, 403.9 and 413.0 Wm -2 year -1 , respectively. The coefficients of variation (CV) were higher for 2080 (2.6%) and 2090 (2.8%), similar to the results found by standard deviation. 2070 obtained CV (2.2%) for estimated values of incoming longwave radiation with greater accuracy. Again, 2070 was the only year that could be interpolated because the average degree of spatial dependence found for all models was 12.23%. Lastly, 2080 could only be interpolated using the Gaussian model in the Legal Amazon.

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