Vertical bifacial solar farms: Physics, design, and global optimization

By M. Ryyan Khan, A. Hanna, Xingshu Sun, M. A. Alam. 2017

137 citations recorded by the source corpus.

There have been sustained interest in bifacial solar cell technology since 1980s, with prospects of 30–50% increase in the output power from a stand-alone panel. Moreover, a vertical bifacial panel reduces dust accumulation and provides two output peaks during the day, with the second peak aligned to the peak electricity demand. Recent commercialization and anticipated growth of bifacial panel market have encouraged a closer scrutiny of the integrated power-output and economic viability of bifacial solar farms, where mutual shading will erode some of the anticipated energy gain associated with an isolated, single panel. Towards that goal, in this paper we focus on geography-specific optimization of ground-mounted vertical bifacial solar farms for the entire world. For local irradiance, we combine the measured meteorological data with the clear-sky model. In addition, we consider the effects of direct, diffuse, and albedo light. We assume the panel is configured into sub-strings with bypass-diodes. Based on calculated light collection and panel output, we analyze the optimum farm design for maximum yearly output at any given location in the world. Our results predict that, regardless of the geographical location, a vertical bifacial farm will yield 10–20% more energy than a traditional monofacial farm for a practical row-spacing of 2m (corresponding to 1.2m high panels). With the prospect of additional 5–20% energy gain from reduced soiling and tilt optimization, bifacial solar farm do offer a viable technology option for large-scale solar energy generation.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/bc09ad16fe57693fe6c069f4c70ff89b70301c8a

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In Artificial Intelligence

  1. M. A. Alam
  2. M. Ryyan Khan
  3. Xingshu Sun
  4. Chris Deline
  5. M. T. Patel

In Electrical and Electronic Engineering

  1. Xingshu Sun
  2. M. T. Patel
  3. M. Ryyan Khan
  4. M. A. Alam

In Renewable Energy, Sustainability and the Environment

  1. M. T. Patel
  2. M. A. Alam
  3. M. Ryyan Khan
  4. Xingshu Sun
  5. Chris Deline

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