Insight

Discover the power of EnerScale Analysis Platform

Platform Features

Analysis Items
30+
Data Sources
100+
Scalability
1000+
Customization
Request

Data Assessment (Performance Evaluation)

By uploading both the panel’s metadata—including specifications and installation details—and its power generation data (in CSV format), users can assess degradation, soiling, and the overall performance of individual panels or entire sites. The evaluation of degradation and soiling incorporates external environmental data—such as solar irradiance, wind speed, and temperature—in addition to the power generation data. A trial version (v1.5) of the degradation and soiling evaluation tool is available, with limited data access and functionality.

  • Data uploading
  • Analysis, Evaluation, and Forecasting
  • Statistics, Data Mining, and AI

Reused Panel Performance Forecasting

EnerScale forecasts the power generation performance of evaluated solar panels when they are reused in new locations. There are no regional limitations—simulations are based on geographic coordinates. The platform automatically selects the appropriate solar irradiation database for each region and generates forecasts using input data from the evaluated panels. Forecasts can be customized based on system type (on-grid or off-grid) and fixed installation parameters, such as tilt angles. A trial version (v1.5) is currently available for new panels only.

  • Reused Panels
  • Power Generation Forecasts
  • Coordinate-Based Forecasting

Environmental Life Cycle & Economic Value Assessment

EnerScale delivers quantitative assessments of environmental life cycle impacts across various scenarios, such as:

• Replacing a panel every 10 years over a 30-year period
• Replacing a panel every 15 years over a 30-year period
• Achieving 30 years of panel use through reuse
• Achieving more than 30 years of panel use through reuse

In addition, EnerScale evaluates the economic value of reuse, helping users determine appropriate resale price points based on potential profitability. This enables a clearer understanding of the reuse value of individual operating panels or all operating panels at a given site. By offering more post-operation options, EnerScale supports smarter, data-driven decision-making. These assessments are based on system analysis data and results, along with standardized parameters related to the environmental impacts of transportation, repair, replacement, and other contributing factors.

  • Environmental Lifecycle Insights
  • Economic Value Analysis
  • Data-Driven, Optimal Decision-Making

Extensive Data Sources

EnerScale’s data assessment, performance forecasting, and environmental life cycle and economic value assessments utilize a wide range of data sources. Collecting such comprehensive data from scratch is often time-consuming and costly. The platform integrates over 50 datasets and more than 100 variables to streamline workflows—enabling robust analysis with minimal user input.

  • Metadata & Generation Data
  • Meteorological Databases
  • Environmental Databases

Scalability

EnerScale offers robust scalability for managing multiple sites, enabling users to seamlessly register and analyze data from various locations. Because data integration is based on geographic coordinates, there are no country-specific usage restrictions, making the platform accessible from anywhere in the world. Additionally, once power generation data is uploaded, it can be expanded and analyzed on a daily basis. In short, the platform delivers scalability across site registration, geographic coverage, and data operations.

  • Scalable Architecture
  • Big Data Ready
  • Global Localization

Customization & API Integration

As an enterprise service, EnerScale provides APIs (Application Programming Interfaces) for individual features such as data assessment, performance forecasting, and environmental life cycle evaluation. OEM (Original Equipment Manufacturer) solutions are also available for organizations pursuing circular economy initiatives in specific regions. Additionally, custom AI forecasting models can be developed and deployed on the platform by leveraging our proprietary database. Our team offers comprehensive support for both development and integration.

  • API Integration
  • OEM Solutions
  • Custom AI Models