The capacity planning and financial assessment conducted during the early stages of an energy storage project have a direct impact on its long-term investment returns and operational reliability. Yet, the industry continues to rely heavily on traditional sizing approaches based on manual calculations and typical-day simulations. These methods are often hindered by low efficiency, limited accuracy, weak financial modeling, and high engineering costs, making them increasingly inadequate for today's large-scale and data-driven energy storage projects.
To address these challenges, DoGo Future Energy has developed EcoSizing, an intelligent planning platform built around three industry-first innovations:
- An industry-first renewable energy-centric optimization engine
- An industry-first bankable financial modeling framework
- An industry-first full-lifecycle simulation methodology
Together, these innovations provide highly accurate, traceable, and investment-ready decision support for renewable energy projects, enabling the industry to move beyond experience-based trial-and-error sizing toward data-driven global optimization.
1. The Limitations of Traditional Energy Storage Sizing
As renewable energy projects become increasingly sophisticated, conventional planning methods are no longer capable of meeting modern engineering and investment requirements. Four major challenges remain prevalent across the industry.
1. Low Design Efficiency
Most engineering teams still rely on Excel-based manual calculations and parameter tuning.
Generating a single project proposal often takes several days, while comparing multiple system configurations or business models requires repetitive calculations and significant engineering effort. This results in slow response times and high labor costs.
2. Limited Simulation Accuracy
Many existing sizing tools perform simulations using only hourly data (8,760 hours per year) or representative "typical days."
These simplified approaches fail to capture seasonal variations and extreme operating conditions throughout the year. More importantly, they rarely account for long-term factors such as photovoltaic degradation, battery aging, equipment replacement, and other lifecycle variables, leading to significant discrepancies between simulation results and real-world project performance.
3. Weak Financial Decision Support
Traditional evaluation models generally focus only on initial investment costs and basic revenue estimation.
Most lack comprehensive lifecycle cash flow analysis and support only self-investment scenarios, making them unsuitable for pricing and evaluating Power Purchase Agreement (PPA) projects. As a result, investment decisions and commercial quotations often lack robust financial justification.
4. High Delivery and Learning Costs
Preparing project proposals typically involves manually consolidating engineering data, generating reports, and formatting documentation—a repetitive process that is both time-consuming and prone to human error.
In addition, energy storage sizing requires expertise across electrical engineering, renewable energy, economics, and finance. The steep learning curve makes onboarding new engineers difficult and limits the efficient reuse of organizational knowledge.
EcoSizing's Four Core Advantages
1. Purpose-Built Optimization Algorithms Deliver Deployment-Ready Designs
Most sizing tools on the market are built around generic optimization algorithms—designed to work for almost any project, but optimized for none. The resulting system configurations often require extensive manual adjustments before they can be implemented.
EcoSizing is different.
Built upon DoGo Future Energy's proprietary Grid-Forming Energy Storage System (GFM ESS) technology, EcoSizing has been developed specifically around the operational characteristics of our own products. Its optimization engine is tailored for high PV-to-storage ratio applications and wide-SOC grid-forming control strategies, ensuring that simulation results accurately reflect real-world system behavior.
Because the algorithms and hardware operating logic are developed together, the optimized system configurations generated by EcoSizing can be deployed directly with minimal engineering iteration.
Compared with conventional manual optimization methods, EcoSizing can reduce initial project CAPEX by more than 20%, helping developers maximize investment efficiency from the very beginning.
2. 15-Minute Full-Lifecycle Simulation — A Complete Digital Twin of Your Project
Most conventional planning tools provide only a "snapshot" of project performance by simulating a single year of operation.
EcoSizing takes a fundamentally different approach.
Using N × 8,760 × 4 simulation intervals (15-minute resolution), the platform accurately models every aspect of project operation throughout its entire service life—from commissioning to retirement.
The high-resolution simulation captures load peaks without information loss while incorporating long-term dynamic variables, including:
- Annual PV degradation
- Battery State of Health (SOH) degradation
- Mid-life equipment replacement
- Capacity augmentation
- Electricity tariff fluctuations
- PPA pricing adjustments
Instead of evaluating only average annual performance, EcoSizing reproduces how a project will actually evolve over its lifetime under varying operating conditions.
Every simulation result is fully exportable, traceable, and auditable, giving developers and investors complete confidence in the projected financial performance.
3. Bankable Financial Models Built for Investment Decisions
Engineering optimization alone is no longer enough.
Investment decisions require financial models that can withstand lender due diligence and investor scrutiny.
EcoSizing integrates a comprehensive lifecycle financial model that automatically accounts for:
- Tax and depreciation
- Residual equipment value
- Operation & Maintenance (O&M) costs
- Financing and loan structures
The platform automatically generates industry-standard financial indicators, including:
- CAPEX
- IRR
- NPV
- Payback Period
- LCOE
Users can instantly switch between self-investment and financing scenarios, while the generated cash-flow statements comply with professional financial reporting and investment evaluation standards.
Instead of building complicated spreadsheets from scratch, engineers can focus on making better investment decisions.
4. Supporting Both Self-Investment and PPA Business Models
Most sizing software focuses exclusively on maximizing NPV under self-investment scenarios.
EcoSizing supports both of today's dominant commercial models:
Self-Investment Projects
Automatically optimize system configuration to maximize project Net Present Value (NPV).
Power Purchase Agreement (PPA) Projects
Simply enter the desired payback period or target ROI, and EcoSizing automatically calculates the optimal contract electricity price.
The platform supports multiple contract structures, including:
- Fixed-price PPA
- Tiered pricing
- Time-of-Use (TOU) pricing
With data-driven pricing recommendations, project developers can prepare competitive proposals with greater confidence instead of relying on experience or guesswork.
From Project Planning to Proposal Delivery—One Intelligent Platform
EcoSizing streamlines the entire project development workflow.
Flexible Data Modeling
No measured PV or load data? No problem.
The platform can automatically generate simulation data during the early planning stage and supports JSON import/export, allowing engineering teams to quickly reuse proven project configurations instead of starting from scratch every time.
Multi-Energy System Optimization
Optimize hybrid systems combining PV, Battery Energy Storage, Diesel Generators, and the Grid.
Whether planning a new project or evaluating an existing asset, EcoSizing supports both design optimization and operational performance analysis.
Transparent Full-Lifecycle Performance Analysis
Project performance is simulated year by year throughout its operational lifetime.
Detailed 15-minute dispatch schedules and annual operational statistics can all be exported for review, verification, and long-term analysis.
One-Click Proposal Generation
Forget copying spreadsheets and manually formatting reports.
EcoSizing automatically compiles system configurations, simulation results, financial analyses, and key charts into a professional engineering report with a single click—saving valuable engineering time while ensuring consistency and accuracy.
AI Expert Assistant
Built-in intelligent assistance is available whenever you need it.
Whether you're configuring system parameters, interpreting simulation results, or understanding financial assumptions, EcoSizing provides expert guidance across energy storage, microgrids, and financial analysis—dramatically reducing the learning curve for new engineers.
Designed for Every Stage of Energy Storage Development
EcoSizing is ideal for a wide range of applications, including:
- Commercial & Industrial (C&I) energy storage planning
- Off-grid and weak-grid microgrid design
- Bid and proposal preparation
- Operational performance review of existing projects
- Investment scenario comparison and financial evaluation
No matter where your project is in its lifecycle, EcoSizing delivers the data-driven insights needed to make faster, smarter, and more reliable decisions.
Work Smarter, Plan Faster
In the past, successful energy storage sizing relied heavily on engineering experience, manual calculations, and countless late nights.
Today, EcoSizing transforms that process into an intelligent, automated workflow—combining advanced optimization algorithms, high-fidelity lifecycle simulation, and bankable financial modeling to help every project reach its optimal design with greater speed, accuracy, and confidence.
EcoSizing doesn't just automate system sizing—it empowers better investment decisions.
