energy-procurement

Analyze tariff schedules and structure multi-site RFPs for energy procurement.

2|Updated Mar 12, 2026
One-click install
npx skills add https://github.com/sayasaya8039/ZWG_Terminal --skill energy-procurement-sayasaya8039
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: energy-procurement
Source: https://github.com/sayasaya8039/ZWG_Terminal/tree/main/.claude/skills/energy-procurement
Command: npx skills add https://github.com/sayasaya8039/ZWG_Terminal --skill energy-procurement-sayasaya8039

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the complex challenge of managing high annual energy spend ($15M–$80M) across 10–50+ commercial and industrial facilities, navigating opaque utility tariffs, volatile demand charges, PPA risk, and strict sustainability reporting requirements without dedicated in-house energy procurement expertise.

Core Features & Use Cases

  • Tariff & Procurement Optimization: Analyze utility rate schedules, structure multi-site RFPs, and build layered hedging strategies to reduce total energy costs while maintaining budget certainty.
  • Demand Charge Mitigation: Identify peak demand drivers, evaluate battery storage and load shifting ROI, and enroll in demand response programs to cut 20–30% of demand-related costs.
  • Renewable PPA Evaluation: Assess physical and virtual PPA offers, quantify basis and curtailment risk, and model risk-adjusted NPV to align with RE100 and SBTi sustainability targets.
  • Use Case: A manufacturing firm with 25 facilities across PJM and ERCOT can use this Skill to structure a competitive RFP, evaluate 6 supplier bids, and recommend a blended fixed/index procurement strategy that locks 60% of load at stable rates while capturing market upside.

Quick Start

Use the energy-procurement skill to analyze our 12 months of interval meter data for the 8 Midwest manufacturing facilities and recommend a layered procurement strategy that locks 60% of expected load at fixed rates while mitigating demand charge overrun risk.

Frequently Asked Questions about energy-procurement

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

FAQPage Schema
How do I evaluate renewable PPA offers and quantify basis risk for a multi-site manufacturing firm?

To evaluate renewable PPA offers, assess physical and virtual PPA structures, quantify basis and curtailment risk, and model risk-adjusted NPV to align with RE100 and SBTi sustainability targets.

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

Reducing demand charges requires identifying peak demand drivers from interval meter data, evaluating battery storage and load shifting ROI, and enrolling in demand response programs to cut 20–30% of demand-related costs.

Can I structure a multi-site energy procurement RFP for facilities across PJM and ERCOT markets?

Yes, you can structure competitive multi-site RFPs across regulated and deregulated North American energy markets, evaluate supplier bids, and recommend a blended fixed/index procurement strategy for budget certainty.

How does layered energy hedging strategy development work for commercial and industrial operators?

Layered energy hedging works by analyzing utility rate schedules to build strategies that lock a percentage of expected load at stable rates while capturing market upside, reducing total energy costs.

Does this approach support Scope 2 sustainability reporting for RE100, CDP, and SBTi frameworks?

Yes, this approach supports Scope 2 sustainability reporting by satisfying functional requirements for total cost of energy analysis and compliance with RE100, CDP, and SBTi reporting frameworks.

When do I need tariff optimization for organizations with $15M to $80M annual energy spend?

Tariff optimization is needed when managing $15M–$80M annual energy spend across 10–50+ facilities, requiring analysis of opaque utility tariffs, demand charge mitigation, and PPA risk management without dedicated in-house expertise.