Low Illumination Light (LIL) Solar Cells: Indoor and Monochromatic Light Harvesting

Abstract

Low and indoor light energy harvesting is needed to meet the demands of zero net energy (ZNE) building, Internet of Things (IoT), and indirect energy conversion isotope battery (IDEC iBAT) systems. Characterizing photovoltaic (PV) solar cells under low intensity and narrow light spectrum conditions has not been clearly examined. PV operating values under 1 sun illumination do not scale linearly under low intensity and monochromatic light conditions (efficiency drops from 30% to 3% at 1 Wopt/cm2). However, limited energy conversion efficiencies and metrics can be improved by choosing a PV whose band gap matches the light source. By quantifying losses on single-junction semiconductors, we can determine the theoretical maximum efficiency of a PV material for different light sources. We measure single-junction solar cells parameters under 3 different white light (indoor light) and near monochromatic light spectrum sources with light intensities ranging from 0.5 to 100 Wopt/cm2. Measurements show that indium gallium phosphide (InGaP) has the highest surface power density and conversion efficiency (29% under 1 Wopt/cm2 at 523 nm for 470-nm, 523-nm, and white light). The results will aid the US Army s decision on selecting the best PV type for the IDEC iBAT and other energy harvesting systems.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2015
Accession Number
ADA625514

Entities

People

  • Charlie Wu
  • Johnny A. Russo
  • Marc S. Litz
  • William J. Ray

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Band Gaps
  • Compound Semiconductors
  • Detectors
  • Energy
  • Energy Consumption
  • Energy Harvesting
  • Energy Storage
  • Internet Of Things
  • Light Sources
  • Measurement
  • Monochromatic Light
  • Quantum Efficiency
  • Semiconductors
  • Sensor Networks
  • Solar Cells
  • Visible Spectra
  • White Light

Readers

  • Energy Conservation and Renewable Energy Engineering.
  • Solar Photovoltaics and Thermoelectric Devices.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • 5G
  • Microelectronics