KE-RV Africa Updated 2026-08-20

Kenya (Rift Valley) Geothermal Screening

Geothermal screening assessment identifies 62.1% prospective land reaching 185°C by 5.5 km depth in Kenya (Rift Valley).

Key Geothermal Metrics

Land Reaching 185°C by 5.5 km High Potential
62.1%

Primary baseline screening criterion

Shallowest Depth to 200°C Very Shallow
2.3 km

Minimum drill depth for high enthalpy

Peak Temperature at 5 km Depth Superhot
288.3 °C

Maximum modeled temperature

Typical Geothermal Gradient Volcanic / Rift
63.8 °C/km

Average to 5 km depth (15°C surface)

Grid Connectable Prospective Area High Accessibility
82.6%

Hot territory within 50 km transmission

Stored Heat In-Place (3–7 km) 1 ZJ = 10²¹ Joules
90.3 ZJ

Thermal volume in place (>80°C baseline)

Depth vs. Temperature Matrix (% Land Area)

Proportion of national territory exceeding target isotherm at specified depth

0.1° Inversion Grid
Isotherm 3.0 km 4.0 km 5.0 km 6.0 km 7.0 km 8.0 km
150°C 25.4% 38.5% 72.6% 90.4% 99% 100%
175°C 21.8% 42.6% 62.1% 79.4% 96.8% 100%
200°C 17% 33.9% 47.1% 78.9% 90.9% 100%
225°C 12.2% 25% 42.6% 63.5% 72.5% 84.4%
250°C 8.8% 21.6% 35.5% 50.1% 54.2% 62.6%

4-Stage Geothermal Resource & Infrastructure Funnel

Progressive screening from gross national territory down to grid-connected & populated prospective zones

1 Whole country
182 500 km² 100%
2 Reaches 185°C by 5.5 km
113 332 km² 62.1%
3 ...and within 50 km transmission
93 612 km² 51.3%
4 ...and within 100 km town
82 031 km² 44%

Geological Setting & Subsurface Parameters

Lithology, basement thickness, stress and thermal boundary constraints

Median Depth to 200°C Isotherm 4.6 km
Best 10th Percentile Depth to 200°C 3.2 km
Median Temperature at 5 km Depth 227.2 °C
Best 10th Percentile Temp at 5 km 260.3 °C
Median Sediment Thickness 0.3 km
Sediment / Hard-Rock Well Share 13.5%
Territory Under 1 km Sediment Cover 95.8%
Lithostatic Pressure at 5 km Depth 140.2 MPa
Moho Crustal Discontinuity Depth 33.4 km
Thermal Lithosphere Thickness 81.6 km
Curie Temperature Isotherm Depth 12 km
Model Temperature Spread Uncertainty (200°C) ±1.1 km

Transmission Grid & Demand Colocation

Infrastructure interconnectivity and urban power demand proximity

High-Voltage Transmission Network Length 15 812 km
Land Area Within 25 km of Grid 62.9%
Land Area Within 50 km of Grid 82.6%
Land Area Within 100 km of Grid 97.4%
Average Proximity to Nearest Substation / Line 14.6 km
Urban Centers (>10,000 Population) 95
Total Urban Population 15.9 M
Prospective Resource Colocated Near Demand (>1M Pop) 48.3%

Target Sensitivity & Deep EGS Upside

Sensitivity of prospective resource area to adjusted depth and temperature thresholds

150°C Baseline at 5.5 km 98% of national territory reaches 150°C at 5.5 km depth
185°C Baseline at 7.5 km 99% of national territory reaches 185°C at 7.5 km depth

Global Peer Benchmarking (vs. 278 Assessed Jurisdictions)

Relative ranking distribution of Kenya (Rift Valley) across 11 standardized geothermal indicators

Kenya (Rift Valley) Rank Global Peer Spread
Shallowest 200°C depth
2.3 km Top 25%
P0 (Lowest) P50 (Median) P100 (Highest) • 81th percentile
Peak temp at 5 km
288.3 °C Top 25%
P0 (Lowest) P50 (Median) P100 (Highest) • 75th percentile
Prospective land area (>185°C at 5.5 km)
62.1% Top 10%
P0 (Lowest) P50 (Median) P100 (Highest) • 99th percentile
Stored heat in-place (3-7 km)
90.3 ZJ Middle 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 61th percentile
Typical geothermal gradient
63.8 °C/km Top 10%
P0 (Lowest) P50 (Median) P100 (Highest) • 91th percentile
Grid proximity (<50 km)
82.6% Top 25%
P0 (Lowest) P50 (Median) P100 (Highest) • 83th percentile
Thin sediment coverage (<1 km)
95.8% Top 10%
P0 (Lowest) P50 (Median) P100 (Highest) • 96th percentile
Curie isotherm depth
12 km Middle 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 74th percentile
Moho crustal thickness
33.4 km Lower 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 40th percentile
Model temperature uncertainty spread
±1.2 km Middle 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 59th percentile
Urban demand colocation
37.4% Top 25%
P0 (Lowest) P50 (Median) P100 (Highest) • 82th percentile
Asset-Level 3D Simulation Available

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Analytical Geothermal Assessment & Discussion: Kenya (Rift Valley)

Subsurface thermal interpretation, model uncertainty, infrastructure colocation, and resource quality analysis

Resource Overview

Geothermal assessment for Kenya (Rift Valley) indicates rift_volcanic geological controls governing subsurface heat transport, yielding 62.1% of land area reaching the baseline target of 185°C at 5.5 km depth.

Uncertainty & Model Variance

Thermal inversion across Kenya (Rift Valley) shows consistent model convergence with constrained standard deviations across deep crustal layers.

Grid & Infrastructure Colocation

National electrical transmission coverage positions approximately 82.6% of prospective geothermal ground within 50 km of existing high-voltage corridors.

Geological & Basement Setting

Subsurface lithology is characterized by rift volcanic dynamics with median sediment thickness of 0.3 km and crustal thickness of 33.4 km.

Stored Heat Volume

Accessible thermal energy in place between 3 km and 7 km depth above 80°C totals 90.3 Zettajoules (ZJ).

Peer Comparison

Benchmarked against 237 global assessment jurisdictions, Kenya (Rift Valley) demonstrates competitive positioning across heat flow, infrastructure, and basement competence indicators.

Target Sensitivity Analysis

Screening at 150°C baseline at 5.5 km increases prospective territory, demonstrating substantial deep EGS resource headroom.

Screening Methodology, Parameters & Limitations

This screening assessment for Kenya (Rift Valley) is generated from Geothermal Radar Data Pack 2026.1 utilizing global 0.1° hex-grid thermal inversion across 2 028 model cells (land area: 182 500 km²). Baseline prospective criterion is defined as reaching 185°C at or above 5.5 km depth with surface temperature normalized to 15°C.

  • Screening estimates represent regional-scale heat in place and do not replace localized 3D seismic or exploratory drilling.
  • Model uncertainties expand in regions with sparse deep boreholes and complex thrust fault kinematics.
  • Grid proximity indicators reflect line-of-sight distance to high-voltage transmission and do not account for local substation thermal capacity.
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