Usage
  • 20 views
  • 23 downloads

Increasing Organic Photovoltaic Device Efficiency Through Microstructuring Techniques

  • Author / Creator
    Shewchuk, Ryan M
  • Organic photovoltaics offer the tantalizing possibility of inexpensive renewable energy generation. However, there are many issues that need to be solved before organic photovoltaics can see widespread use. One main issues that needs to be resolved is the relatively low efficiency of organic photovoltaics, which increases the cost per watt for the cells. Increasing efficiency of organic photovoltaics would therefore offer a possible avenue for their commercial adoption. This thesis explores the hypothesis that decoupling electrical carrier collection and light absorption in organic photovoltaics would allow for increased photoconversion efficiency. A model was created to test the feasibility of this concept. The model informed the fabrication of a prototype device using microfabrication techniques to test the hypothesis. Numerous fabrication steps were optimized, including mask design, photolithography, etching, thermal oxidation, glancing angle deposition, and polymer spinning. Severe issues were resolved in the photolithography, glancing angle deposition, and polymer spinning processing steps. The highest performing device achieved a 0.6% photoconversion efficiency and a fill factor of 0.25, with a carrier collection distance of 1.0 μm and a light absorption distance of 2.2 μm. For these device characteristics, the model predicted an efficiency of 0.63%, demonstrating good agreement between the model and the prototype device. The thesis concludes by suggesting additional processing steps and methods to further test the hypothesis.

  • Subjects / Keywords
  • Graduation date
    2016-06
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3DZ0390H
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Electrical and Computer Engineering
  • Specialization
    • Microsystems and Nanodevices
  • Supervisor / co-supervisor and their department(s)
    • Dr. Jeremy Sit (Electrical and Computer Engineering)
    • Dr. Michael Brett (Electrical and Computer Engineering)
  • Examining committee members and their departments
    • Dr. Andrew Martin (Mechanical Engineering)
    • Dr. Doug Barlage (Electrical and Computer Engineering)
    • Dr. Michael Brett (Electrical and Computer Engineering)
    • Dr. Jeremy Sit (Electrical and Computer Engineering)