Work

Sectoral interactions and primary drivers in integrated CLEWs modeling: insights from Kenya

Year: 2025

Type: article

Abstract: This study applies Global Sensitivity Analysis (GSA) to an optimization model for Kenya based on the Climate, Land, Energy, and Water systems (CLEWs) framework. The model provides insights into the interdependencies among energy, land, and water systems, and the sensitivity analysis allows to evaluate its ability to capture sectoral interactions and trade-offs while identifying key influential parameters shaping the overall system behavior. Using the Morris screening method, the analysis emphasizes the key role of discount rates—both global and technology- specific—influencing the energy sector, biomass use for cooking, renewable energy sources penetration, and forest land cover. The findings also show that all inputs influence forest cover, demonstrating the CLEWs model’s capacity to capture system interactions. By using a fully open methodology, this work enhances CLEWs model transparency and provides actionable insights for policymakers to address trade-offs and support resilient resource management.

Source: Environmental Research Communications

DOI: 10.1088/2515-7620/adc65a

Authors: Roberto Heredia-Fonseca, Pietro Lubello, Francesco Gardumi, Will Usher

Institutions: KTH Royal Institute of Technology, University College London

Language: English

Topic: Water-Energy-Food Nexus Studies

Subfield: Water Science and Technology

Field: Environmental Science

Domain: Physical Sciences

SDGs: Climate action, Affordable and clean energy

Open Access status: gold

Estimated APC paid: $2,050