robertodawid/Kenya_Clews_GSA

Sectoral interactions and primary drivers in integrated CLEWs modeling: Insights from Kenya # Sectoral interactions and primary drivers in integrated CLEWs modeling: Insights from Kenya This repository contains the workflow used to conduct a Global Sensitivity Analysis on an Energy System Optimization model (ESOMs) developed in OSeMOSYS [^1]. The model was developed using the Climate Land Energy Water Systems (CLEWs) [^2] framework. # Create a new environment in Conda The attached _*.yml_ will allow you to create a new environment in Conda. The new environment has been tested and is working on Windows. ``` conda env create -f env.yml ``` ## Acknowledgements The original version of the computational workflow that was extended for this work was developed by Will Usher under the Climate Compatible Growth programme, which is funded by UK aid from the UK government. The views expressed herein do not necessarily reflect the UK government’s official policies. Usher W, Barnes T, Moksnes N and Niet T. Global sensitivity analysis to enhance the transparency and rigour of energy system optimisation modelling [version 1; peer review: 1 approved, 2 approved with reservations]. Open Res Europe 2023, 3:30 [^1]: Howells, M., Rogner, H., Strachan, N., Heaps, C., Huntington, H., Kypreos, S., ... & Roehrl, A. (2011). OSeMOSYS: the open source energy modeling system: an introduction to its ethos, structure and development. Energy Policy, 39(10), 5850-5870. [^2]: Howells, M., Hermann, S., Welsch, M. et al. Integrated analysis of climate change, land-use, energy and water strategies. Nature Clim Change 3, 621–626 (2013). doi.org