bambu-studio-ai
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Energy Audit — Commercial Building Assessment
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install 1kalin/afrexai-energy-audit打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Run a full energy audit for commercial or industrial facilities. Identifies waste, models savings, and generates a prioritized retrofit roadmap with ROI timelines.
Tell your agent:
Provide:
| Category | Typical Savings | Payback |
|---|---|---|
| LED retrofit | 40-60% lighting | 1-3 years |
| HVAC controls/BMS | 15-25% HVAC | 2-4 years |
| VFDs on motors/fans | 20-50% motor | 1-3 years |
| Envelope (insulation, air sealing) | 10-20% heating/cooling | 3-7 years |
| Demand response enrollment | 5-15% peak demand | Immediate |
| Solar PV | 30-70% electric | 5-8 years (with ITC) |
| Heat recovery | 10-30% t... |
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
Commercial building energy audit framework for AI agents. Benchmarks consumption, identifies savings, and builds retrofit roadmaps with ROI analysis.
Works for offices, warehouses, retail, manufacturing, healthcare, and education facilities.
What you get:
See SKILL.md for the full framework.
From AfrexAI — AI context packs that make agents actually useful for business.
🔗 Revenue Calculator | Agent Setup | All Context Packs ($47)
# Energy Audit — Commercial Building Assessment Run a full energy audit for commercial or industrial facilities. Identifies waste, models savings, and generates a prioritized retrofit roadmap with ROI timelines. ## What It Does - Collects utility data (electric, gas, water, steam) across 12+ months - Benchmarks consumption against ASHRAE and ENERGY STAR baselines - Identifies the top 10 energy conservation measures (ECMs) ranked by payback period - Calculates simple payback, IRR, and lifecycle cost for each measure - Generates an ASHRAE Level II audit report with executive summary - Flags utility rate optimization opportunities (demand response, TOU shifting) - Maps available rebates and incentive programs by state/region ## How to Use Tell your agent: - "Run an energy audit for our 45,000 sq ft office building" - "Analyze our utility bills and find savings opportunities" - "Create a retrofit roadmap for our warehouse — budget is $200K" Provide: 1. **Building type** — office, retail, warehouse, manufacturing, healthcare, education 2. **Square footage** and location (climate zone matters) 3. **12 months of utility bills** (or monthly kWh/therms if summarized) 4. **Operating hours** — shifts, weekend usage, seasonal patterns 5. **Major equipment** — HVAC age/type, lighting, compressed air, process loads ## Audit Framework ### Benchmarking - EUI (Energy Use Intensity) = total kBtu ÷ sq ft - Compare against CBECS median by building type - ENERGY STAR score target: 75+ (top quartile) ### Energy Conservation Measures (ECMs) | Category | Typical Savings | Payback | |----------|----------------|---------| | LED retrofit | 40-60% lighting | 1-3 years | | HVAC controls/BMS | 15-25% HVAC | 2-4 years | | VFDs on motors/fans | 20-50% motor | 1-3 years | | Envelope (insulation, air sealing) | 10-20% heating/cooling | 3-7 years | | Demand response enrollment | 5-15% peak demand | Immediate | | Solar PV | 30-70% electric | 5-8 years (with ITC) | | Heat recovery | 10-30% t...
# Energy Audit Commercial building energy audit framework for AI agents. Benchmarks consumption, identifies savings, and builds retrofit roadmaps with ROI analysis. Works for offices, warehouses, retail, manufacturing, healthcare, and education facilities. **What you get:** - ASHRAE-aligned energy assessment - ECM ranking by payback period - Rebate and incentive identification - Phased implementation roadmap See [SKILL.md](./SKILL.md) for the full framework. --- From [AfrexAI](https://afrexai-cto.github.io/context-packs/) — AI context packs that make agents actually useful for business. 🔗 [Revenue Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) | [Agent Setup](https://afrexai-cto.github.io/agent-setup/) | [All Context Packs ($47)](https://afrexai-cto.github.io/context-packs/)
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