BUSINESS REQUIREMENTS DOCUMENT (BRD)
Project: US Energy Market Performance Analytics
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Document Info |
Details |
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Version |
1.0 |
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Author |
Priyanka Chaudhari, Business Analyst |
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Date |
2024-Q1 |
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Domain |
Energy | Utilities | Infrastructure | ESG |
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Status |
Approved |
1. EXECUTIVE SUMMARY
A US energy portfolio manager oversees generation assets across 5 regions and 6 energy sources (Natural Gas, Coal, Nuclear, Solar, Wind, Hydro). The business lacks a unified performance view to compare revenue by source, track renewable transition progress, quantify outage cost exposure by region, and produce CO2 emissions data for ESG reporting. This project delivers a cross-regional energy analytics platform, from data modeling through SQL analysis to a Power BI dashboard, enabling strategic capital allocation decisions and regulatory compliance reporting.
2. BUSINESS OBJECTIVES
1. Compare energy source performance by revenue, price/MWh, and capacity utilization
2. Track renewable transition progress against the 30% demand share target
3. Quantify outage risk and financial impact by region and source
4. Model CO2 emissions intensity for ESG/sustainability reporting
5. Identify seasonal demand gaps to inform capacity planning decisions
6. Produce strategic recommendations for capital allocation across sources and regions
3. PROBLEM STATEMENT
Current State:
- No unified dashboard comparing performance across 5 regions and 6 sources
- Renewable transition progress tracked manually in spreadsheets, no systematic KPI
- Outage cost calculated after the fact, no proactive risk quantification
- CO2 reporting done annually by external consultant, no internal real-time view
- Capital allocation decisions rely on nominal price/MWh, carbon cost not factored in
Desired State:
- SQL-based analytical framework with 8+ performance queries and 2 strategic views
- Executive Excel workbook: Portfolio summary, source analysis, regional scorecard, seasonal trends
- Interactive Power BI dashboard: 4 pages covering portfolio, sources, renewable transition, outage risk
- Carbon-adjusted cost analysis supporting dispatch optimization decisions
4. STAKEHOLDERS
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Stakeholder |
Role |
Responsibility |
Priority |
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Portfolio Manager |
Project Sponsor |
Approve scope; primary decision-maker |
High |
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Sustainability / ESG Lead |
Primary User |
Use CO2 data for ESG reporting |
High |
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Grid Operations Manager |
Primary User |
Outage risk and capacity utilization analysis |
High |
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Finance / IR Director |
Secondary User |
Revenue reporting and outage cost P&L |
Medium |
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Regulatory Affairs |
Secondary User |
FERC compliance and emissions reporting |
Medium |
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Capital Allocation Committee |
Reviewer |
Use recommendations for investment decisions |
High |
5. SCOPE
In Scope:
- 4,000 energy market records across 5 US regions, 20 states, 6 sources - 2023-2024
- Revenue, demand, price, capacity utilization, CO2, and outage analysis
- Renewable vs non-renewable transition tracking by quarter
- Excel workbook: 4-tab analysis with embedded charts
- Power BI dashboard: 4 pages with interactive slicers
- Strategic recommendations: 4 capital allocation priorities
Out of Scope:
- Real-time SCADA or grid telemetry integration
- Financial modeling or DCF analysis (separate workstream)
- Weather or climate data integration (Phase 2)
- Regulatory filing preparation (legal team responsibility)
6. SUCCESS CRITERIA
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KPI |
Definition |
Target |
Method |
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Renewable Share Tracked |
Renewable % of total demand by quarter |
Full 2023-2024 coverage |
SQL view |
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Outage Cost Quantified |
Total outage cost in $K by region and source |
Full breakdown |
SQL query |
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CO2 Intensity Calculated |
CO2 tons per GWh by source |
All 6 sources covered |
SQL query |
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Carbon-Adjusted Cost |
Effective cost/MWh after carbon pricing |
Coal re-ranked correctly |
SQL calculation |
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Dashboard Live |
Power BI accessible via shareable URL |
Within project timeline |
Power BI Service |
7. ASSUMPTIONS & CONSTRAINTS
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Category |
Description |
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Assumption |
Synthetic dataset is representative of real US energy market patterns |
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Assumption |
Carbon cost proxy of $50/ton (EU ETS rate) is appropriate for US analysis context |
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Assumption |
Power BI Desktop (free) available for dashboard development |
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Constraint |
No live API access to EIA or FERC data - analysis uses generated CSV |
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Constraint |
Single-analyst delivery, no engineering resources |