Generation-to-Revenue Efficiency in Kenya's Geothermal-Dominant Grid: Exergy, Transmission Losses, and Feedback Dynamics

This paper develops the Generation-to-Revenue Efficiency (GRE) metric for Kenya's electricity grid, defined as GRE=(1−C)(1−L), where C is the curtailment rate and L is the system loss rate. GRE is computed at 0.731 for FY2024/25 against a benchmark of 0.920, representing a 21.6 percentage point gap. The paper includes an exergy analysis of geothermal curtailment at Olkaria, an I²R corridor analysis bounding recoverable transmission losses at 290–530 GWh/yr, a discrete-time feedback model with Jacobian eigenvalues exceeding unity, and a GRE trajectory projection to FY2029/30. All empirical inputs are drawn from Energy and Petroleum Regulatory Authority (EPRA) and Kenya Power and Lighting Company (KPLC) published statistics.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-29
DOI
https://doi.org/10.5281/zenodo.20435603
Primary Topic
Integrated Energy Systems Optimization
Type
preprint
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preprint

Generation-to-Revenue Efficiency in Kenya's Geothermal-Dominant Grid: Exergy, Transmission Losses, and Feedback Dynamics

Michael Bala
Zenodo (CERN European Organization for Nuclear Research)
Integrated Energy Systems Optimization
preprint

Generation-to-Revenue Efficiency in Kenya's Geothermal-Dominant Grid: Exergy, Transmission Losses, and Feedback Dynamics

Michael Bala
preprint en

Abstract

This paper develops the Generation-to-Revenue Efficiency (GRE) metric for Kenya's electricity grid, defined as GRE=(1−C)(1−L), where C is the curtailment rate and L is the system loss rate. GRE is computed at 0.731 for FY2024/25 against a benchmark of 0.920, representing a 21.6 percentage point gap. The paper includes an exergy analysis of geothermal curtailment at Olkaria, an I²R corridor analysis bounding recoverable transmission losses at 290–530 GWh/yr, a discrete-time feedback model with Jacobian eigenvalues exceeding unity, and a GRE trajectory projection to FY2029/30. All empirical inputs are drawn from Energy and Petroleum Regulatory Authority (EPRA) and Kenya Power and Lighting Company (KPLC) published statistics.

Zenodo (CERN European Organization for Nuclear Research)
Affordable and clean energy
Integrated Energy Systems Optimization
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