Platform Overview
IgIo DPM is an advanced analytical platform combining BIG DATA + AI for comprehensive energy infrastructure analysis and terrain characterization.
Core Capabilities
- Integrated technical and financial modeling
- Interactive geospatial analysis interface
- AI-powered predictive analytics
- Multi-layered data visualization
Financial Analytics
- IRR Analysis
- NPV Calculations
- Cash Flow Modeling
- Sensitivity Analysis
- Scenario Comparison
- Risk Assessment
Getting Started
Authentication
Upon first launch, you'll need to authenticate using the QR code scanner. This ensures secure access to the tool.
Note: Contact your system administrator if you don't have the authentication QR code.
Interface Overview
The main interface consists of these key components:
- Map View: Central interactive map display
- Filter Panel: Top panel for data filtering
- Data Loaders: Middle section for dataset selection
- Quick Actions: Right-side panel with common functions
- Floating Menu: Bottom-left circular action menu
Loading Data
Begin your analysis by loading one of these datasets:
- SETs Data: Detailed substation information by state
- Power Plants US: Complete data of power plants in the United States
- Electrical Grid US: Geospatial data of transmission infrastructure
- Mineral Rights: Land ownership information
Core Features
Electrical Grid Visualization
The map displays electrical infrastructure with color-coded voltage levels:
Measurement Tools
The measurement panel allows you to:
- Measure distances between points (click to start, double-click to finish)
- View measurements in meters, kilometers, and miles
- Drag the panel anywhere on screen
Data Filtering
Use the filter panel to refine displayed data by:
- State selection
- Voltage range (min/max kV)
- Technology type (solar, wind, etc.)
- City name
Slope Analysis
The terrain analysis tools provide detailed slope information:
Key Features:
- Draw custom polygons for area analysis
- Load KMZ/KML files for site-specific evaluation
- Real-time slope calculation during location tracking
- Detailed statistics and charts
Solar and Wind Potential
Access specialized analysis tools through the floating action menu:
- Solar Potential: Analyze sun exposure and energy potential
- Wind Potential: Evaluate wind resources for turbine placement
- BESS Analysis: Battery Energy Storage System suitability
Solar Potential Analyzer
The integrated Solar Potential Analyzer uses NREL-verified data to provide accurate solar energy potential calculations for any location or area.
Key Features:
- Verified Data Sources: Uses NREL PVWatts API and other reliable sources
- System Simulation: Model different PV system configurations
- Area Analysis: Upload KMZ/KML files to analyze specific sites
- Monthly Breakdown: View detailed monthly energy production
- Data Quality Indicators: Shows reliability of solar data
How to Use
- Click the "Launch Solar Potential Analyzer" button
- Either:
- Upload a KMZ/KML file containing your area of interest, or
- Click the "Locate Me" button to analyze your current location
- Configure your PV system parameters
- Click "Analyze Solar Potential" to see results
- View detailed results in the panel at the bottom of the map
Data Sources
The tool prioritizes data quality by using these sources in order:
- NREL PVWatts API (most accurate, US only)
- Open-Meteo Historical API (global coverage)
- Estimated Model (latitude-based estimation as fallback)
Wind Potential Analyzer
The Wind Potential Analyzer provides comprehensive tools for assessing wind resources and simulating turbine performance.
Key Features:
- Regional Wind Data: Pre-loaded wind data for different regions
- Custom Area Analysis: Draw or upload custom areas for analysis
- Turbine Simulation: Model performance of different turbine types
- Wind Rose Visualization: View directional wind patterns
- Production Estimates: Calculate annual energy production
How to Use
- Click the "Launch Wind Potential Analyzer" button
- Select a region or draw a custom area on the map
- Choose analysis parameters (height, time period)
- View wind statistics and charts
- Switch to the Turbine Power Analysis tab to simulate energy production
Turbine Models
The tool includes specifications for several common turbine models:
- Vestas V150-4.2MW
- GE 5.3-158
- Siemens SWT-6.0-154
- Enercon E-126 EP8
Solar + BESS Economic Model
The financial analysis tool evaluates the financial viability of solar energy projects combined with battery energy storage systems (BESS).
Key Features:
- Comprehensive Analysis: Evaluates multiple technical and financial parameters
- Easy to Use: Intuitive interface with organized tabs
- Clear Visualization: Interactive charts and detailed tables
How to Use
- Enter Project Parameters: Complete the fields in the "Project Parameters" tab
- Click "Calculate Financial Model": Perform calculations with your parameters
- Review Results: Explore the "Financial Results" and "Cash Flow Analysis" tabs
Parameter Description
Technical Parameters
| Parameter | Description | Unit |
|---|---|---|
| AC Capacity | System capacity in alternating current (inverter) | MW |
| DC Capacity | System capacity in direct current (panels) | MW |
| Energy Yield | Energy generated per unit of DC capacity | MWh/MWdc |
| PV Degradation | Annual loss of solar panel efficiency | %/year |
BESS Parameters
| Parameter | Description | Unit |
|---|---|---|
| BESS Duration | Time BESS can operate at nominal capacity | hours |
| BESS Losses | Energy losses in the storage system | % |
| Depth of Discharge | Percentage of capacity actually used | % |
| BESS Degradation | Annual capacity loss of the battery system | %/year |
Financial Parameters
| Parameter | Description | Unit |
|---|---|---|
| PV Build Cost | Solar system construction cost | $/MWdc |
| BESS Cost | Storage system cost | $/MWh |
| O&M Cost | Annual operation and maintenance cost | $/MW/year |
| Land Lease | Land leasing cost | $/acre |
| Energy Price PV | Solar energy sale price | $/MWh |
| Energy Price RA | BESS energy sale price | $/MWh |
| Interest Rate | Financing interest rate | % |
| Leverage | Financing percentage of total CAPEX | % |
Results Interpretation
Key Financial Metrics
Project IRR
Project internal rate of return without considering financing.
Levered IRR
Internal rate of return considering financing.
NPV (10%)
Net present value discounted at 10% rate.
Payback Period
Time required to recover the initial investment.
AI Implementation
AI-Powered Analytics
IgIo DPM leverages cutting-edge artificial intelligence to enhance energy infrastructure analysis and decision-making:
- Predictive Modeling: Forecast energy production and demand patterns
- Anomaly Detection: Identify potential issues in infrastructure data
- Optimization Algorithms: Suggest optimal locations for renewable energy projects
- Natural Language Processing: Enable conversational interaction with the platform
This video demonstrates how artificial intelligence is integrated into the IgIo DPM platform to enhance energy infrastructure analysis and decision-making capabilities.
AI Architecture
The platform's AI system is built on a modular architecture:
Data Layer
- Real-time data ingestion
- Data cleaning and normalization
- Feature engineering
Model Layer
- Machine learning algorithms
- Deep learning networks
- Ensemble methods
Analytics Layer
- Predictive analytics
- Scenario simulation
- Optimization engines
Interface Layer
- Visualization tools
- Natural language interface
- Interactive dashboards
Key AI Features
Solar Potential AI
- Predicts solar irradiance with 95% accuracy
- Optimizes panel placement
- Forecasts energy production
Wind Analysis AI
- Models wind patterns
- Optimizes turbine placement
- Predicts maintenance needs
Grid Optimization
- Identifies grid vulnerabilities
- Optimizes energy distribution
- Predicts demand patterns
Natural Language Interface
- Understands complex queries
- Provides contextual responses
- Learns from user interactions
Data Resources
Electrical Infrastructure Data
Primary data sources for electrical analysis:
- SETs Data: Detailed substation information by state
- Power Plants US: Complete data of power plants in the United States
- Electrical Grid US: Geospatial data of transmission infrastructure
Terrain Data
Elevation and slope analysis data sources:
- USGS 3DEP: High-precision elevation data (primary source)
- Open-Elevation API: Global elevation data (secondary source)
Solar Data
Solar radiation and photovoltaic data:
- NREL PVWatts API: Highly accurate solar data (US only)
- Open-Meteo Historical API: Global solar data (secondary source)
Supported Formats
File formats supported for custom data:
- KMZ/KML: For importing custom study areas
- CSV: For importing custom data points
Quick Reference
Keyboard Shortcuts
- F Toggle fullscreen mode
- Z Zoom to US view
- C Clear map
- S Open Solar Analyzer
- W Open Wind Analyzer
- B Open BESS Analyzer
- A Open AI Implementation
Floating Action Menu
Quick access to common functions:
- Home view
- Project management
- File upload
- Solar analysis
- Wind analysis
- AI Tools
Frequently Asked Questions
Contact your system administrator to obtain the proper authentication QR code. This security measure ensures only authorized users can access the tool.
The tool primarily uses USGS 3DEP elevation data. Some remote international locations may have limited coverage. The system will automatically fall back to Open-Elevation API when USGS data is unavailable.
For locations in the United States, the tool uses NREL PVWatts data which is highly accurate. For international locations, accuracy depends on available data sources. The tool clearly indicates data quality for each analysis.
Yes, you can load custom KMZ/KML files containing your infrastructure data. The tool will preserve the styling and properties from your original files.
Projects are stored in your browser's local storage, which typically has a 5-10MB limit. For very large analyses, consider exporting projects to files rather than saving them in the browser.
The wind data is based on long-term averages from reliable meteorological sources. For site-specific analysis, you can upload your own wind measurement data in CSV format.
IRR (Internal Rate of Return) is calculated as the discount rate that makes the net present value (NPV) of all project cash flows equal to zero. This tool uses industry-standard methods for accurate IRR calculation.
DC capacity refers to the nominal power of solar panels, while AC capacity is the power the system can deliver after passing through inverters. Typically AC capacity is lower due to conversion losses.
Degradation annually reduces the solar system's generation capacity and the BESS storage capacity, impacting projected revenues. The tool applies this reduction on a compound basis each year.
Currently the tool doesn't have export functionality, but you can manually copy data from the cash flow table or take screenshots of the charts.
Contact Us
Get More Information
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