Current hybrid storage bids reflect aggressive price decline assumptions, capture of the ITC, and other cost savings from pairing with solar such as reduced interconnection costs.
see Hybrid Optimization Algorithm >
We model your storage system with renewable generation sources, wind or solar, or just so you can store Battery as a Merchant Peaker.
Several cases:
- see Energy Storage Optimization System >
- see Battery as a Merchant Peaker >
- see Effect of Battery on the On-Peak and Off-Peak Sales and Purchases >
- see Battery Cost and ROI – Multi-Scenario >
Energy Storage Optmyzation System
see Energy Storage Optimization System >
Main Integrated Improvements:
Intelligent Price-Based Management:
- Automatic maximum charging during negative prices.
- Discharge when price exceeds daily average.
- Normal operation with configurable storage percentage.
see Energy Storage Optimization System >
Battery as a Merchant Peaker
see Battery as a Merchant Peaker >
The simulation starts with a 50% SOC. For each hour, it checks the price: if negative, it buys energy (charges the battery) up to max power or remaining capacity. If positive, it sells (discharges) as much as possible. It tracks SOC, energy bought/sold, and margin.
Potential issues or improvements:
1. **Input Validation**: The energy prices input is split by commas, but if a user adds spaces, it might break. Using split(‘,’).map(Number) is okay, but maybe trim spaces first. Also, negative prices are allowed, which might be intentional
2. **SOC Calculation**: The initial SOC is 50%, but the battery capacity is user-defined. The code adds energy as if SOC is a percentage, but battery capacity is in kWh.
see Battery as a Merchant Peaker >
Effect of Battery on the On-Peak and Off-Peak Sales and Purchases
see Effect of Battery on the On-Peak and Off-Peak Sales and Purchases >
Key Features Added:
- Peak/Off-Peak Inputs:
- Users can define peak hours using
peakStart
andpeakEnd
.
- Users can define peak hours using
- Metrics for Peak/Off-Peak:
- Separate metrics for energy bought/sold during peak and off-peak hours.
- Visualization Enhancements:
- Highlighted peak hours on the chart using a shaded background.
- Different colors for peak and off-peak transactions.
- Dynamic Updates:
- The chart and metrics update automatically when peak hours are changed.
How It Works:
- Peak Hours: Transactions during peak hours are highlighted and tracked separately.
- Off-Peak Hours: Transactions outside peak hours are also tracked and displayed.
- Shaded Area: The chart shows a shaded area to indicate peak hours.
- Metrics: Separate metrics for peak and off-peak energy transactions are displayed.
see Effect of Battery on the On-Peak and Off-Peak Sales and Purchases >
Battery Cost and ROI Multi-Scenario.
see Battery Cost and ROI – Multi-Scenario >
It allows to identify optimal scenarios for BESS projects, evaluating the balance between initial costs, export revenues and technical degradation. The results help to make informed decisions on sustainable energy investments.
·Multi-Scenario Comparison Simultaneously evaluates:
3 export prices (e.g. 0.10,0.15, $0.20 per kWh)
3 time horizons (10, 15, 20 years)
·Generates 9 unique scenarios for comparative analysis.
Financial Metrics For each scenario it calculates:
- NPV (Net Present Value): Discounted total benefit.
- IRR (Internal Rate of Return): Annualized percentage return.
- Payback Period: Years to recover the initial investment.
·Example of Inputs. Results Display
- NPV Chart Comparison of Net Present Value between scenarios.
- IRR Chart Annualized percentage return by scenario.
- Battery Degradation Evolution of battery capacity over 20 years.
·How to Interpret Results:
- Positive NPV = Profitable Project Ex: NPV of $12,450 indicates net profit after discounting initial investment and costs.
- IRR > Discount Rate = Good Investment Ex: IRR 8.7% vs discount rate 5% → Attractive project.
- Short Payback Period = Fast Payback Ex: 9 years for 15-year projects → Reasonable for energy infrastructure.
·Useful Life:
Extend from 15 to 20 years → Improves IRR 1.5-2%.