Dataset: Niti Foundation style hydropower list (572 projects). Each row has province, district, municipality, capacity (MW), coordinates, and license type. Use this as an interactive sandbox to demonstrate how Power2Peer can aggregate many micro-hydro and IPP projects into a single Virtual Clean Power Network node.
How to read license types
The Niti dataset classifies each hydropower project by its current licensing stage:
- Operation – plants that are already built and officially operating and feeding power into the grid or local networks.
- Generation – projects that hold a generation license / PPA and are under construction or close to commercial operation. Treat these as your near-term pipeline.
- Survey – early-stage sites with only survey / feasibility licenses, usually without a PPA or financing in place. These are long‑term prospects, not firm capacity.
For quick VCPN scenarios, start with Operation and Generation. Use Survey when you want to explore the future build‑out potential of a region.
How this carbon panel works
Carbon price ($/tCO₂) is the assumed market value of one tonne of avoided CO₂. The simulator treats 1 token as 1 tCO₂e, so annual carbon value (USD/year) is simply avoided tCO₂e/year × carbon price.
Baseline for surplus use tells the model what your surplus hydro is replacing: Diesel genset (high emissions, ≈0.8 tCO₂/MWh), Fossil grid/import (moderate emissions, ≈0.75 tCO₂/MWh), or No credits (we conservatively assume no claimable carbon credits).
Avoided emissions = energy time-shifted × baseline factor. Carbon value = avoided emissions × carbon price.
Katmandu basin
Pokhara region
Eastern hills
South‑west
South
Mid‑ & Far‑West
Use this quick reference while picking clusters. Provinces are colour‑coded on the map, and the pills highlight zones that matter for your VCPN story.