energy-procurement

Optimize energy procurement and model cost scenarios for multi-site facilities.

1|Updated Mar 18, 2026
One-click install
npx skills add https://github.com/xxih/ai-harness-zh --skill energy-procurement-xxih
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Skill: energy-procurement
Source: https://github.com/xxih/ai-harness-zh/tree/main/references/translations/everything-claude-code/docs/zh-CN/skills/energy-procurement
Command: npx skills add https://github.com/xxih/ai-harness-zh --skill energy-procurement-xxih

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Consolidates technical and commercial energy procurement expertise to reduce total energy spend, manage demand charges, and evaluate renewable power purchase agreements across multi-site commercial and industrial portfolios.

Core Features & Use Cases

  • Rate and bill decomposition: Break down energy, demand, capacity and transmission components to reveal optimization levers.
  • Procurement strategy & RFP design: Create tender specifications, compare fixed/index/block offers, and recommend layered hedging approaches.
  • Demand charge mitigation & load analysis: Use interval meter data to identify peak contributors, evaluate batteries, load shifting and DR programs.
  • PPA and REC evaluation: Model VPPA vs physical PPA economics, base-case and scenario NPV, and quantify basis and curtailment risk.
  • Use Case: Run a multi-site RFP for 25 facilities, evaluate six supplier bids across fixed and index products, and recommend a 60/40 fixed/index mix with targeted demand-charge reductions.

Quick Start

Use the energy-procurement skill to analyze interval meter data, compare supplier bids against forward curves and tariffs, and recommend a mixed fixed/index procurement plus demand-charge mitigation plan.

Frequently Asked Questions about energy-procurement

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize energy procurement for multi-site commercial facilities?

Optimize energy procurement by analyzing interval meter load data and tariff structures to model total cost, compare supplier bids, and recommend a mixed fixed/index strategy with demand-charge mitigation for portfolios of 10–50 sites.

What is the best way to reduce demand charges using interval meter data?

Reduce demand charges by using interval meter data to identify peak load contributors, then evaluate batteries, load shifting, and demand response programs to model specific demand charge reduction scenarios across your facilities.

How do I evaluate PPA offers and model renewable power purchase agreement economics?

Evaluate PPA offers by modeling VPPA versus physical PPA economics using market forward curves, calculating base-case and scenario NPV, and quantifying basis and curtailment risk to determine the risk-adjusted value.

Can I compare fixed versus index energy supplier bids against market forward curves?

Compare fixed and index energy supplier bids by evaluating tender specifications against market forward curves and tariff structures, then recommend a layered hedging approach using a mixed fixed/index procurement ratio.

Does energy procurement optimization suit commercial portfolios with $15M to $80M annual spend?

Energy procurement optimization suits commercial and industrial portfolios with $15M to $80M annual energy spend, specifically modeling total cost and risk-adjusted NPV for 10–50 sites using interval data and tariff inputs.

How do I decompose utility bills to find energy cost optimization levers?

Decompose utility bills by breaking down energy, demand, capacity, and transmission components to reveal specific optimization levers, enabling targeted rate analysis and procurement strategy design.