B
Data Center Power Contract Auction
2.55
Derivation Chain
Step 1
NVIDIA AI data center revenue up 75%
→
Step 2
Explosion in data center power demand
→
Step 3
Power purchase agreement brokerage and auction platform
Problem
As AI data center demand surges, small-to-mid-sized IDC operators in Korea (10-50MW scale) need to secure Power Purchase Agreements (PPAs), but no platform exists to compare renewable energy PPA options for RE100 compliance beyond direct contracts with KEPCO (Korea Electric Power Corporation). Using power brokers costs $15,000-$37,500 (~2,000-5,000만원) per deal in consulting fees, with no benchmarks to verify whether quoted prices are fair.
Solution
IDC operators enter their required power capacity, contract duration, and RE100 ratio, and the platform collects quotes from registered power suppliers (solar, wind, ESS) via reverse auction. It presents a fair-price band based on historical contract data and provides contract templates along with regulatory checklists (Electricity Business Act, Carbon Neutrality Act).
NUMR-V Scores
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 (70%)
Data Availability
20.8/25
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 (54/100)
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]