Fractal Builds Robust Energy Storage Financial Models

Fractal has spent years developing and optimizing powerful models that simulate performance, degradation, costs and revenues to evaluate total cost of ownership and maximize IRR. We supply these tools to utilities, energy companies and investors.

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Fractal Energy Storage Consultants is the leading provider of robust finance models for the energy storage industry. Top energy companies and investors trust Fractal’s energy storage financial models to perform:

  • Standalone Storage Design and Analysis
  • AC-/ DC-/ DC-Bidirectional PV+S
  • Wind + Storage Design and Analysis
  • C&I Demand Charge Mitigation
  • Dispatch / Bid Optimization
  • Financial Due Diligence of Projects
  • Evaluate and Structure Tax Equity
  • Tax and State Incentive Optimization
  • Sensitivity Analysis and Off-Take Structuring
  • Total Cost of Ownership of RFP Bids

Version 19.6 is Now Available

The Fractal Model quarterly upgrade was sent to all model users on July 19, 2019.

Newest Features and Functionality

  • New Stack Table to Build Application Stacks Deployable Over Any Time Period
  • Define Different Power Levels for Individual Applications
  • New SOC Visualizations to Optimize Business Models
  • New Clip Charging Variations (Renewable Energy Shift AC-Coupled and Clip Charging DC-Coupled)
  • Improved Styling and Built in Guides for Enhanced Experience
  • Twice As Fast and a Third of the Size

Technical Design and Robust Financial Analysis

Fractal performs a more robust financial analysis on potential business models using granular costs and revenue. The output of the financial analysis includes:

  • Internal Rate of Return (IRR)
  • Net Present Value (NPV)
  • Payback Period
  • Seasonal Dispatch Models
  • Capital Outlay (CAPEX / OPEX)
  • Degradation Management Strategy

Project Optimization

Fractal can assess the economic viability and internal rate of return for a variety of project scenarios. Fractal can optimize your project from a technical, financial and ownership basis to include:

  • Optimize system sizing and sub-chemistry selection to maximize IRR
  • Optimize control algorithm to increase revenue and/or reduced sizing
  • Perform sensitivity analysis of key parameters and their effect on ROI
  • Perform ownership evaluation and ITC utilitization
  • Complete financial, technical and environmental risk assessment
  • Account for recent or pending policy that may influence the system sizing