Battery Storage Simulation Software
Model BESS degradation with real manufacturer cell data. LP-optimized capacity sizing, 25-year SOH projections, and bankable financial analysis for utility-scale and commercial energy storage projects.
Degradation-Aware Storage Modeling
Energy Optima models battery degradation using real manufacturer cell data, not generic curves. Every simulation accounts for calendar aging, cycle aging, and temperature effects across the full project life.
Degradation
Degradation-Aware Sizing
BESS capacity is sized accounting for degradation over the full project life. Our LP optimization finds the optimal nameplate capacity that satisfies energy and power requirements through end-of-life, minimizing oversizing while ensuring bankability.
- End-of-life performance guarantees
- Optimal oversizing ratio
- Capacity fade tracking year-over-year
SOH/RTE
3D SOH/RTE Modeling
Each of 147+ battery models has 156+ degradation data points covering SOH and RTE across multiple C-rates (0.25C, 0.33C, 0.5C) and cycle frequencies over 26 years. 3D linear interpolation finds exact values for your specific operating conditions.
- 156+ data points per model
- 3D linear interpolation
- Calendar + cycle aging separate
Optimization
LP Capacity Optimization
Linear programming optimization determines the optimal battery capacity and power rating for your specific application — energy arbitrage, demand charge reduction, frequency regulation, or hybrid PV+BESS systems. Constraints include SOC limits, C-rate, degradation limits, and grid interconnection.
- Multi-objective optimization
- Degradation-aware constraints
- Sub-second solve time
Dispatch
EMS Dispatch Simulation
Simulate BESS dispatch under multiple energy management strategies: rule-based priority, economic LP optimization, and MILP for hybrid systems. Hourly 8760-timestep simulations with SOC tracking, C-rate limits, and efficiency curves.
- 8,760 hourly timesteps
- 3 dispatch strategies
- TOU tariff optimization
Database
147+ Battery Database
Comprehensive database of battery models from leading manufacturers including CATL, BYD, Samsung SDI, LG Energy Solution, Panasonic, and Northvolt. Each model includes full datasheet parameters with individual degradation tables.
- 147+ distinct battery models
- LFP, NMC, NCA, NAS chemistries
- Custom model upload supported
Augmentation
Augmentation Planning
Plan battery augmentation campaigns to maintain system capacity through project life. Our tool calculates optimal augmentation timing and sizing based on actual degradation trajectories, dispatch patterns, and capacity guarantee requirements.
- Optimal augmentation timing
- Capacity guarantee compliance
- Cost-optimized replacement schedule
How BESS Modeling Works
Understanding the science behind our degradation modeling, capacity optimization, and economic analysis.
3D SOH/RTE Degradation Curves
Energy Optima models battery degradation using manufacturer-specific 3D degradation tables, not generic curves. Each of our 147 battery models has 156+ data points mapping State of Health (SOH) and Round-Trip Efficiency (RTE) across multiple C-rates (0.25C, 0.33C, 0.5C) and cycle frequencies over a 26-year period. 3D linear interpolation computes exact SOH and RTE values for your specific operating conditions at each timestep.
Calendar aging and cyclic aging are modeled as separate mechanisms with distinct Arrhenius-type temperature dependencies. Calendar aging depends on time, temperature, and SOC during idle periods. Cyclic aging accumulates with throughput and depth of discharge (DoD). Temperature-dependent auxiliary power consumption (HVAC, BMS, fire suppression) is included in net energy accounting.
SOH and RTE degradation tracking with 3D interpolation across C-rates
LP Optimization Methodology
Our linear programming optimizer solves for optimal BESS capacity and power rating across multiple simultaneous objectives: maximizing project NPV, minimizing LCOE, or meeting specific capacity or duration targets. The LP formulation includes degradation-aware constraints that ensure the system meets performance guarantees at end-of-life, not just at commissioning.
Constraints modeled include: minimum/maximum SOC (typically 10-90%), maximum C-rate for charge and discharge, throughput-dependent degradation limits, grid interconnection capacity, site area for container placement, and budget constraints. The solver typically converges in under one second, enabling rapid scenario comparison and sensitivity analysis.
LP-optimized BESS sizing with degradation constraints
NPV, IRR, LCOE with Augmentation
Financial metrics follow NREL SAM methodology with post-tax nominal cash flows. NPV uses project-specific WACC. LCOE (Levelized Cost of Energy) and LCOS (Levelized Cost of Storage) both account for degradation-adjusted throughput year-over-year. IRR is solved from discounted cash flows including augmentation capital expenditures.
Revenue streams include energy arbitrage across TOU tariffs, demand charge reduction, frequency regulation and ancillary services, capacity payments, and renewable energy certificates. Cost modeling captures CAPEX (battery cells, PCS, BMS, containers, installation), OPEX (O&M, HVAC energy, insurance), augmentation campaigns at 5-10 year intervals, and end-of-life decommissioning or recycling value. Sensitivity analysis varies degradation rate, energy prices, and augmentation cost.
Comprehensive BESS financials with augmentation planning
From Battery Selection to Reporting
A structured workflow for designing and optimizing battery storage systems with real-world accuracy.
Battery Selection
Choose from 147+ battery models with real manufacturer degradation data. Select chemistry, cell format, and configuration.
Degradation Modeling
Configure operating parameters — C-rate, SOC limits, temperature. 3D interpolation computes SOH and RTE curves.
Capacity Optimization
LP optimizer finds optimal power and energy ratings. Degradation-aware constraints ensure end-of-life performance.
Dispatch Simulation
Run hourly EMS dispatch with rule-based or economic strategies. Simulate TOU arbitrage, demand charge reduction, grid services.
Financial Analysis
Model CAPEX including augmentation, calculate NPV/IRR/LCOE. Sensitivity analysis on degradation, pricing, and costs.
Reporting
Export bankable reports with degradation projections, dispatch analysis, and financial metrics. White-label ready.
Built for Real BESS Projects
Trusted by energy storage developers, EPC contractors, and financial analysts for its manufacturer-grade accuracy and comprehensive feature set.
Manufacturer-Grade Degradation Data
Unlike tools that use generic degradation curves, every battery model in Energy Optima comes with real manufacturer-provided degradation tables. Our team continuously updates the database as manufacturers release new cell types and updated aging data.
Bankable Financial Analysis
Our financial models follow NREL SAM methodology and are designed to meet lender and investor due diligence requirements. Every metric is transparent and traceable to published standards.
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