Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2017A manufacturing cost estimation method with uncertainty analysis and its application to perovskite on glass photovoltaic modules192citations

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Chart of shared publication
Basore, Paul A.
1 / 1 shared
Evans, Rhett
1 / 1 shared
Egan, Renate J.
1 / 1 shared
Chang, Nathan L.
1 / 3 shared
Ho-Baillie, Anita
1 / 16 shared
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2017

Co-Authors (by relevance)

  • Basore, Paul A.
  • Evans, Rhett
  • Egan, Renate J.
  • Chang, Nathan L.
  • Ho-Baillie, Anita
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article

A manufacturing cost estimation method with uncertainty analysis and its application to perovskite on glass photovoltaic modules

  • Basore, Paul A.
  • Young, Trevor L.
  • Evans, Rhett
  • Egan, Renate J.
  • Chang, Nathan L.
  • Ho-Baillie, Anita
Abstract

Manufacturing cost analysis is becoming an increasingly important toolin the photovoltaics industry to identify research areas that needattention and enable progress towards cost reduction targets. Wedescribe a method to estimate manufacturing cost that is suitable foruse during an early stage of technology development, delivering both themanufacturing cost estimate as well as an uncertainty analysis thatquickly highlights the opportunities for greatest cost improvement. Weapply the technique to three process sequences for the large‐scaleproduction of organic‐inorganic hybrid perovskite photovoltaic modules. Aprocess sequence that combines two demonstrated perovskite modulesequences is estimated to cost $107/m<sup>2</sup> (uncertainty range $87 to 140/m<sup>2</sup>), comparable with commercial crystalline silicon and cadmium telluride technologies (on a US $/m<sup>2</sup>basis). A levelized cost of electricity calculation shows that thisperovskite technology would be competitive in 2015 with incumbentphotovoltaic technologies if a module power conversion efficiency of 18%and lifetime of 20 years can be achieved. Further analysis shows thateven if the cost of the active layers and rear electrode were reduced tozero, a module power conversion efficiency of 18% and lifetime of20 years would be required to meet the 2020 SunShot levelized cost ofelectricity targets.

Topics
  • perovskite
  • impedance spectroscopy
  • glass
  • glass
  • Silicon
  • power conversion efficiency
  • Cadmium