BANSAGAR (IV) is a 20 MW hydro power plant in Madhya Pradesh, India. Based on its capacity (estimated), it can supply roughly 20k homes (estimated). It ranks #1482 of 2,229 India power plants by installed capacity. Commissioned in 2006, it is around 20 years old — relatively modern. As a non-combustion source, it has no direct CO₂ emissions from generation. In context, hydro supplies about 8.6% of India's electricity; the national grid averages 670 gCO₂/kWh (26.7% low-carbon) (2025).
Plant data: WRI Global Power Plant Database (CC BY 4.0), id IND0000032.
Known, modelled and calculated values are kept separate. Missing fields are shown as unavailable.
The public capacity above is the current source-record value. A 2026 tracker candidate lists 60 MW for Bansagar Tons III hydroelectric plant, but it is not used as the public primary value until scope is verified (unit vs operating vs installed/project total).
Capacity claim grade: B_SCOPE_PARENT_COMPLEX - recommended action: build_parent_complex_model - confidence: not_comparable_without_scope. This follows a claim-based data model: value + scope + source + confidence, rather than silently overwriting records.
The capacity and/or fuel fields on this page include a source-backed provenance label from GEM, an official registry, Wikidata, OSM, or a cross-source match.
capacity: GEM tracker 2026 (location L100001023066); fuel: WRI source-record fuel
At 20 MW, BANSAGAR (IV) is below the median hydro plant in India (80 MW). Hydropower converts the energy of falling or flowing water into electricity; output depends on rainfall and reservoir level, and large dams also provide grid balancing and storage.
Capacity comparison computed from the WRI Global Power Plant Database; fuel-type context is general engineering background.
Installed capacity (MW), WRI Global Power Plant Database (CC BY 4.0).
This hydro plant converts the energy of falling or flowing water through hydro turbines. It sits in a humid subtropical (dry winter) climate (Köppen Cwa) — Northern Hemisphere, latitude 24.2°N — which shapes how much energy it can produce and how its output varies through the year.
Monthly mean temperature
Heating degree-days here run 97% below the median power plant in this dataset — a proxy for how much extra energy heated equipment must replace through its surfaces in winter.
Climate heat-demand index: 14/100 — this site sits in the bottom third of the power plants we cover by heating degree-days.
Climate normals: WorldClim 2.1 (1970–2000 monthly normals, 10 arc-min, CC BY 4.0); zone: Köppen-Geiger world climate classification (Kottek et al. 2006, 0.5° grid). Degree-days & heat-demand index computed by PowerAtlas — a modelled heat-demand proxy, not a measured site figure.
For a plant’s outdoor hardware — heat-recovery steam generators (HRSG), expansion joints, valves, flanges and their insulation — the local climate sets how fast unprotected steel and coatings degrade. This site sits in a moderately corrosive environment (estimated ISO 9223 class C3 — Medium), with humidity / wetness the leading environmental stress.
Higher environmental severity is exactly where protective removable insulation pays back most: a sheltered micro-climate slows corrosion, UV and thermal-cycling damage and extends outdoor hardware service life. This is an indicative site-climate context — not a condition assessment of any specific plant or operator.
Indicative estimate via the ISO 9223:2012 informative method (atmospheric corrosivity from temperature, time-of-wetness and airborne salinity), using WorldClim climate normals, the Köppen-Geiger class and coast distance. Indicative, not a measured corrosion rate.
The #187 largest hydro power plant of 233 in India by capacity.
India has 233 hydro power plants in this dataset, together about 45,527 MW of capacity.
Coordinates 24.223, 81.2747 from WRI Global Power Plant Database (CC BY 4.0). View on OpenStreetMap.
BANSAGAR (IV) is a 20 MW source-record hydro power plant in Madhya Pradesh, India, commissioned in 2006.
Its output is enough to supply roughly 20,022 homes (estimated).
