Discover the power of EnerScale Analysis Platform
Platform Features
Analysis Items
Data Sources
Scalability
Customization
Data Assessment (Performance Evaluation)
By uploading both panel metadata (e.g., specifications and installation details) and generation data (in CSV format), EnerScale evaluates the degradation, soiling, and overall performance of each solar panel or site. These assessments incorporate not only the uploaded data but also external data such as solar irradiance, wind speed, and temperature at the installation site. A trial version (v1.5) of the degradation and soiling evaluation tool is available, with limited data access and functionality.
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Data uploading
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Analysis, Evaluation, and Forecasting
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Statistics, Data Mining, and AI
Reused Panel Performance Forecasting
EnerScale forecasts the power generation performance of evaluated solar panels when 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 by 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.
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Reused Panels
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Power Generation Forecasts
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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 over 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 allows for a clearer understanding of the reuse value of individual operating panels or all operating panels at the site. By offering more post-operation options, EnerScale supports smarter, data-driven decision-making. Assessments are grounded in the same data and results used during system analysis, complemented by generalized parameters for transportation, repair, and replacement-related environmental impacts.
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Environmental Lifecycle Insights
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Economic Value Analysis
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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 can be time-consuming and costly. The platform is integrated with over 50 datasets and more than 100 variables to streamline workflows—enabling robust analysis with minimal user input.
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Metadata & Generation Data
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Meteorological Databases
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Environmental Databases
Scalability
Users managing multiple sites can register and analyze multiple locations simultaneously. The platform links data using geographic coordinates, enabling global availability without being restricted to specific countries such as Singapore or Japan. Once generation data is uploaded, it can be expanded daily. This ensures robust scalability across multiple sites, geographic regions, and data operations.
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Scalable Architecture
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Big Data Ready
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Global Localization
Customization & API Integration
As an enterprise-grade solution, EnerScale offers dedicated APIs (Application Programming Interfaces) for individual features, including data assessment, performance forecasting, and life cycle evaluation. OEM (Original Equipment Manufacturer) solutions are also available for organizations looking to implement circular economy initiatives in specific regions. In addition, custom AI forecasting models can be developed and deployed on the platform by integrating our proprietary database. Our team offers comprehensive development and integration support.
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API Integration
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OEM Solutions
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Custom AI Models
