energy-storage-optimization
CommunityOptimize battery systems for maximum value.
Data & Analytics#arbitrage#battery optimization#energy storage#grid services#renewable integration#peak shaving#degradation modeling
Authorkishorkukreja
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps optimize the deployment, sizing, operation, and economics of energy storage systems (batteries, pumped hydro, etc.) to reduce costs, improve reliability, and integrate renewables.
Core Features & Use Cases
- Sizing Optimization: Determines the optimal power and energy capacity for battery systems based on load, generation, and pricing.
- Dispatch Optimization: Manages battery charge and discharge schedules for energy arbitrage, peak shaving, and renewable firming.
- Degradation Management: Models battery aging to estimate remaining life and optimize operations for longevity.
- Use Case: A commercial building owner wants to reduce their electricity bills by installing a battery. This Skill can determine the best size for the battery, optimize its daily charging and discharging to take advantage of time-of-use rates, and minimize peak demand charges.
Quick Start
Use the energy-storage-optimization skill to find the optimal battery size for a given load profile, solar generation, and electricity prices.
Dependency Matrix
Required Modules
numpypandaspulp
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: energy-storage-optimization Download link: https://github.com/kishorkukreja/awesome-supply-chain/archive/main.zip#energy-storage-optimization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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