Hybrid Power System Design Software
Combine solar PV, BESS, diesel generators, and wind turbines in a single optimization framework. 8760-hour dispatch simulation with economic MPC for optimal microgrid design.
Multi-Technology Optimization at Scale
Energy Optima is the only platform that combines solar PV, battery storage, diesel generators, and wind turbines in a single LP optimization framework with full 8760-hour dispatch simulation.
Integration
Multi-Technology Integration
Combine any mix of solar PV arrays, battery storage systems, diesel generators, and wind turbines in a single project. Each technology is modeled with its own physics-based simulation — NREL PVWatts for solar, manufacturer degradation tables for BESS, fuel curves for diesel, and power curves for wind.
- 4+ technology types
- Independent physics models
- On-grid, off-grid, hybrid modes
Optimization
LP Optimization
Linear programming optimization simultaneously sizes all system components — PV capacity, battery power/energy, diesel generator rating, and wind turbine count — to minimize LCOE or maximize NPV while meeting reliability constraints.
- Simultaneous multi-component sizing
- Sub-second solve time
- Renewable fraction constraints
Dispatch
EMS Dispatch Strategies
Three energy management system dispatch strategies: Rule-Based (priority: solar → battery → diesel), Economic LP (TOU-optimized arbitrage and demand charge reduction), and MILP Hybrid (binary scheduling constraints for diesel on/off states and minimum runtime).
- Rule-Based, Economic LP, MILP
- Diesel minimum runtime constraints
- Grid outage islanding detection
Diesel
Diesel Fuel Curve Regression
Generator fuel consumption modeled using polynomial regression from real manufacturer data. Part-load efficiency curves, minimum loading constraints, and fuel cost escalation with logistics surcharges for remote sites.
- Polynomial fuel curve regression
- Minimum load constraints (30-50%)
- Fuel logistics cost modeling
Generators
158+ Generator Models
Comprehensive database of 158+ diesel and natural gas generator models from Caterpillar, Cummins, Kohler, MTU, and Generac. Ranging from 25 kW to 2000 kW, each with full fuel consumption curves, maintenance schedules, and emissions data.
- 158+ generator models
- Diesel + natural gas
- 25 kW to 2000 kW
Financial
Financial Projections
Full lifecycle financial analysis for hybrid systems including fuel savings quantification, diesel vs renewable LCOE comparison, carbon tax and emissions compliance costs, and grid extension cost analysis for remote off-grid systems.
- Fuel savings analysis
- Grid extension vs hybrid ROI
- Carbon tax compliance
Hybrid System Modeling in Depth
How Energy Optima handles multi-technology configuration, dispatch optimization, and hybrid system economics.
Setting Up Multi-Technology Systems
Configuring a hybrid system in Energy Optima starts with selecting your system topology — on-grid, off-grid, or grid-connected with islanding capability. From there, you add technology blocks: one or more PV arrays with independent orientations, one or more BESS units with different chemistries, diesel generators with generator-specific fuel curves, and wind turbines with site-adjusted power curves.
Each technology block has its own set of physics-based parameters. PV arrays use NREL PVWatts with the 10-category loss waterfall. BESS units use our manufacturer-grade 3D degradation tables with separate calendar and cycle aging. Diesel generators use polynomial fuel curve regression. Wind turbines use site-adapted power curves with air density correction. The AC/DC bus configuration — including PCS sizing, transformer, and interconnection — is modeled as a shared balancing equation.
Multi-technology system configuration with independent physics models
Three Dispatch Strategies Compared
Rule-Based Dispatch: Simple priority-based logic. Solar generation serves load first, excess charges batteries, deficit is met by battery discharge then diesel. Ensures reliable operation with minimal computation. Ideal for feasibility studies where operational complexity is not yet a concern.
Economic LP Dispatch: Linear programming optimizes dispatch across 8760 hours to minimize total operational cost. Considers TOU tariffs, demand charges, fuel costs, and battery degradation cost. The optimal solution dispatches battery during peak prices, diesel only when renewable + battery cannot meet load, and charges battery from solar during low-price periods or grid during off-peak.
MILP Hybrid Dispatch: Mixed-integer linear programming adds binary constraints for diesel generator on/off states, minimum runtime, and minimum loading (typically 30-50%). More computationally intensive but captures real-world operating constraints that significantly affect fuel consumption and maintenance costs.
Dispatch strategy comparison: Rule-Based, Economic LP, and MILP
Fuel Savings, LCOE & Payback Analysis
Hybrid system economics center on fuel savings from displacing diesel generation with renewable energy. Our financial model compares the hybrid system LCOE against a diesel-only baseline, quantifying fuel savings, reduced maintenance, and carbon cost avoidance over the full project life (typically 20-25 years). The payback period on the renewable investment premium is calculated from cumulative fuel savings.
Key metrics include: blended LCOE (cost per kWh from all sources), diesel-only LCOE for baseline comparison, NPV of renewable investment premium, IRR on incremental capital, simple and discounted payback periods, and carbon tax liability reduction. Sensitivity analysis examines fuel price volatility (typically modeling ±20% scenarios), diesel logistics cost for remote sites, carbon pricing scenarios ($50-200/ton CO2), and renewable energy credit values.
Comparative hybrid economics vs diesel-only baseline
Six Steps to an Optimized Hybrid System
From technology selection to dispatch optimization to investor-ready financials.
Technology Selection
Choose which technologies to include: PV, BESS, diesel generators, wind turbines. Select load profile and grid type.
Component Configuration
Configure each technology with real components from our database. Set orientation, fuel curves, and power curves.
Dispatch Strategy
Select dispatch strategy: Rule-Based, Economic LP, or MILP. Configure tariff structure, fuel costs, and constraints.
LP Optimization
Run LP optimization to find optimal component sizes. Constrain by renewable fraction, budget, or space.
Financial Analysis
Compare hybrid vs diesel-only economics. Calculate fuel savings, LCOE, NPV, IRR, and payback period.
Reporting
Generate professional reports with dispatch analysis, fuel savings projections, and financial metrics. White-label ready.
Built for Hybrid Microgrid Projects
Used by mining companies, island utilities, remote communities, and commercial facilities to design cost-optimized hybrid power systems.
Comprehensive Technology Coverage
Our database covers all the technologies you need for hybrid system design. From the latest bifacial PV modules to high-efficiency BESS cells to ruggedized diesel generators for remote mining operations.
Advanced Dispatch & Optimization
Three dispatch strategies support projects from simple feasibility to detailed construction design. LP and MILP solvers find optimal solutions that respect real-world operating constraints.
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