BUSINESS REQUIREMENTS DOCUMENT (BRD)

Project: US Energy Market Performance Analytics

Document Info

Details

Version

1.0

Author

Priyanka Chaudhari, Business Analyst

Date

2024-Q1

Domain

Energy | Utilities | Infrastructure | ESG

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

Stakeholder

Role

Responsibility

Priority

Portfolio Manager

Project Sponsor

Approve scope; primary decision-maker

High

Sustainability / ESG Lead

Primary User

Use CO2 data for ESG reporting

High

Grid Operations Manager

Primary User

Outage risk and capacity utilization analysis

High

Finance / IR Director

Secondary User

Revenue reporting and outage cost P&L

Medium

Regulatory Affairs

Secondary User

FERC compliance and emissions reporting

Medium

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

KPI

Definition

Target

Method

Renewable Share Tracked

Renewable % of total demand by quarter

Full 2023-2024 coverage

SQL view

Outage Cost Quantified

Total outage cost in $K by region and source

Full breakdown

SQL query

CO2 Intensity Calculated

CO2 tons per GWh by source

All 6 sources covered

SQL query

Carbon-Adjusted Cost

Effective cost/MWh after carbon pricing

Coal re-ranked correctly

SQL calculation

Dashboard Live

Power BI accessible via shareable URL

Within project timeline

Power BI Service

 

7. ASSUMPTIONS & CONSTRAINTS

Category

Description

Assumption

Synthetic dataset is representative of real US energy market patterns

Assumption

Carbon cost proxy of $50/ton (EU ETS rate) is appropriate for US analysis context

Assumption

Power BI Desktop (free) available for dashboard development

Constraint

No live API access to EIA or FERC data - analysis uses generated CSV

Constraint

Single-analyst delivery, no engineering resources