As Virtual Power Purchase Agreements (VPPAs) become more common in the solar sector, it is helpful to reflect on the data and insights that went into developing such an innovative business model.

FREMONT, CA: Optimizing asset management for solar energy can help renewables enter new markets. The global Solar PV market increased by 12 percent in 2019 to 115GWs, driven by robust demand in emerging regions. Approximately ten years ago, the total number of GWs was less than 23GWs. So, how are big data and analytics altering the solar energy asset management landscape?

1 Making Structured Insights

Nothing irritates solar PV professionals more than uncertainty. As a result, anything that reduces the intermittent nature of solar energy is always a plus for the sector. Big data and sound analytics are two of these components. Data patterns are crucial. It is even more vital to break them down. Weather and operational visualization knowledge can assist utilities and energy providers in managing grid variances. They can forecast the amount of power generated and devise asset management optimization strategies for solar energy.

2 Getting Started with Preventative Maintenance

Maintaining solar farms with thousands of panels spread across acres of land may be a costly and time-consuming procedure. Not to mention that it necessitates O&M teams being exceptionally organized and thorough in logistical operations to prevent any delays to panel setups. Furthermore, the geographically dispersed nature of solar facilities makes large maintenance staff in a concentrated location more difficult. As a result, routinely monitoring data from sensors and loggers can identify issues such as subpar performance due to dirt accumulation, for example. Additionally, prompt action can improve solar PV management, assisting renewables in becoming the fuel of the future.

3 Investing in New Business Models

As Virtual Power Purchase Agreements (VPPAs) become more common in the solar sector, it is helpful to reflect on the data and insights that went into developing such an innovative business model. Renewable energy professionals could streamline asset management for solar energy in ways that permit scattered, virtual trading thanks to sophisticated data analytics. As a result, beyond the extent of present plants and projects, the proper application of data can expand the renewable energy industry's scope, markets, and models.