Solar Power Revenue Dashboard

3.20

Derivation Chain

Step 1 Rapid growth of solar power generation (surpassing hydropower in the US)

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Step 2 Surge in small-scale solar operators in South Korea

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Step 3 Real-time generation-to-revenue tracking and automated settlement

Problem

Over 120,000 small-scale solar power operators (under 100kW) exist in South Korea — farms and rooftop installations — but real-time revenue tracking is difficult because KEPCO's System Marginal Price (SMP), Renewable Energy Certificate (REC) prices, and grid marginal prices fluctuate hourly. Operators can only determine actual revenue when they receive KEPCO's month-end settlement statement, and since inverter monitoring and settlement data are siloed, detecting generation anomalies takes an average of 3-5 days. This results in 5-10% annual revenue loss from undetected equipment failures.

Solution

(1) Integrate inverter APIs (SolarEdge, Growatt, etc.) with KEPCO SMP/REC public data to provide a real-time estimated revenue dashboard, (2) send instant KakaoTalk/SMS alerts when abnormal generation patterns are detected, and (3) auto-generate monthly tax filing settlement reports.

Target: Small-scale solar power operators under 100kW (farm owners aged 50-70, building owners), solar installation and maintenance SMEs (5-20 employees)

Revenue Model: SaaS Monthly Subscription at $21.50/month per installation, $14.10/unit for 5+ installations, installer management account at $73.50/month (up to 20 units)

Ecosystem Role: Infrastructure

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

2.0/5

U Urgency

4.0/5

M Market

4.0/5

R Realizability

3.0/5

V Validation

3.0/5

NUMR-V Scoring System

N Novelty	1-5	How uncommon the service is in market context.
U Urgency	1-5	How urgently users need this problem solved now.
M Market	1-5	Market size and growth potential from proxy indicators.
R Realizability	1-5	Buildability for a small team with realistic constraints.
V Validation	1-5	Validation signal quality from competition and demand data.

SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (64%)

Tech Complexity

29.3/40

Data Availability

15.0/25

MVP Timeline

20.0/20

API Bonus

0.0/15

Feasibility Breakdown

Tech Complexity	/ 40	Difficulty of core implementation stack.
Data Availability	/ 25	Practical availability and cost of required data.
MVP Timeline	/ 20	Expected time to ship a usable MVP.
API Bonus	/ 15	Bonus for viable public API leverage.

Market Validation (58/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

16.0/20

Revenue Signals

10.5/15

Pick-Axe Fit

12.0/15

Solo Buildability

5.0/10

Validation Breakdown

Competition	/ 20	Signal quality from competitor landscape.
Market Demand	/ 20	Demand proxies from search and mention patterns.
Timing	/ 20	Fit with current shifts in tech, behavior, and regulation.
Revenue Signals	/ 15	Reference evidence for monetization viability.
Pick-Axe Fit	/ 15	How well the concept serves participants in a trend.
Solo Buildability	/ 10	Practicality for lean-team implementation.

Technical Requirements

Backend [medium] Frontend [medium] Data Pipeline [low]

Dashboard